2023-11-24 11:17:11.648580: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
Using TensorFlow backend
2023-11-24 11:19:24.489014: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1639] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 15484 MB memory: -> device: 0, name: Quadro P5000, pci bus id: 0000:3b:00.0, compute capability: 6.1
2023-11-24 11:19:43.981352: I tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:432] Loaded cuDNN version 8600
2023-11-24 11:20:00.065986: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x146c39579590 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
2023-11-24 11:20:00.066049: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Quadro P5000, Compute Capability 6.1
2023-11-24 11:20:01.109895: I tensorflow/compiler/mlir/tensorflow/utils/dump_mlir_util.cc:255] disabling MLIR crash reproducer, set env var `MLIR_CRASH_REPRODUCER_DIRECTORY` to enable.
2023-11-24 11:20:04.576384: I ./tensorflow/compiler/jit/device_compiler.h:186] Compiled cluster using XLA! This line is logged at most once for the lifetime of the process.
Namespace(data_input='imu+bvp', feature_method='None', lbl_str='pss', model='cnn1d', overwrite=0, subject=2, test_standing=1, train_len=5, win_shift=0.2, win_size=12)
unable to find matching config id
Data id not set, auto assigned to: 1
imu-bvp_rr_Pilot02_id1_combi5.0-7.0-10.0-12.0-15.0
train
(35921, 11)
test
(364536, 10)
---CNN1D---
input shape: (1440, 7)
x shape: (120, 1440, 7)
Search: Running Trial #1
Value |Best Value So Far |Hyperparameter
4 |4 |n_layers
128 |128 |filter_unit0
32 |32 |filter_unit1
128 |128 |filter_unit2
128 |128 |filter_unit3
2 |2 |kernel_size0
3 |3 |kernel_size1
4 |4 |kernel_size2
1 |1 |kernel_size3
2 |2 |pool_size0
3 |3 |pool_size1
1 |1 |pool_size2
3 |3 |pool_size3
5 |5 |stride_size0
1 |1 |stride_size1
2 |2 |stride_size2
4 |4 |stride_size3
0.2 |0.2 |dropout0
0.1 |0.1 |dropout1
0.1 |0.1 |dropout2
0.1 |0.1 |dropout3
[2K
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0058s vs `on_train_batch_end` time: 0.0117s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0058s vs `on_train_batch_end` time: 0.0117s). Check your callbacks.
[2K
Trial 1 Complete [00h 00m 47s]
val_loss: 14.744112968444824
Best val_loss So Far: 14.744112968444824
Total elapsed time: 00h 00m 47s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
3 |4 |n_layers
128 |128 |filter_unit0
256 |32 |filter_unit1
256 |128 |filter_unit2
2 |2 |kernel_size0
1 |3 |kernel_size1
3 |4 |kernel_size2
3 |2 |pool_size0
5 |3 |pool_size1
1 |1 |pool_size2
2 |5 |stride_size0
4 |1 |stride_size1
4 |2 |stride_size2
0.3 |0.2 |dropout0
0.4 |0.1 |dropout1
0.3 |0.1 |dropout2
[2K
[2K
Trial 2 Complete [00h 00m 04s]
val_loss: 13.707195281982422
Best val_loss So Far: 13.707195281982422
Total elapsed time: 00h 00m 51s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
2 |3 |n_layers
64 |128 |filter_unit0
64 |256 |filter_unit1
2 |2 |kernel_size0
3 |1 |kernel_size1
1 |3 |pool_size0
4 |5 |pool_size1
2 |2 |stride_size0
1 |4 |stride_size1
0.1 |0.3 |dropout0
0.3 |0.4 |dropout1
[2K
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0073s vs `on_train_batch_end` time: 0.0124s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0073s vs `on_train_batch_end` time: 0.0124s). Check your callbacks.
[2K
Trial 3 Complete [00h 00m 03s]
val_loss: 13.268708229064941
Best val_loss So Far: 13.268708229064941
Total elapsed time: 00h 00m 55s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
5 |2 |n_layers
128 |64 |filter_unit0
128 |64 |filter_unit1
64 |None |filter_unit2
128 |None |filter_unit3
128 |None |filter_unit4
1 |2 |kernel_size0
3 |3 |kernel_size1
3 |None |kernel_size2
2 |None |kernel_size3
3 |None |kernel_size4
1 |1 |pool_size0
4 |4 |pool_size1
3 |None |pool_size2
3 |None |pool_size3
1 |None |pool_size4
1 |2 |stride_size0
4 |1 |stride_size1
2 |None |stride_size2
2 |None |stride_size3
1 |None |stride_size4
0.4 |0.1 |dropout0
0.3 |0.3 |dropout1
0.3 |None |dropout2
0 |None |dropout3
0.4 |None |dropout4
[2K
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0067s vs `on_train_batch_end` time: 0.0210s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0067s vs `on_train_batch_end` time: 0.0210s). Check your callbacks.
[2K
Trial 4 Complete [00h 00m 05s]
val_loss: 14.513642311096191
Best val_loss So Far: 13.268708229064941
Total elapsed time: 00h 01m 00s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
5 |2 |n_layers
256 |64 |filter_unit0
256 |64 |filter_unit1
32 |None |filter_unit2
256 |None |filter_unit3
32 |None |filter_unit4
5 |2 |kernel_size0
1 |3 |kernel_size1
4 |None |kernel_size2
2 |None |kernel_size3
4 |None |kernel_size4
5 |1 |pool_size0
4 |4 |pool_size1
4 |None |pool_size2
2 |None |pool_size3
3 |None |pool_size4
2 |2 |stride_size0
1 |1 |stride_size1
3 |None |stride_size2
5 |None |stride_size3
5 |None |stride_size4
0.4 |0.1 |dropout0
0.1 |0.3 |dropout1
0.2 |None |dropout2
0.2 |None |dropout3
0 |None |dropout4
[2K
[2K
Trial 5 Complete [00h 00m 05s]
val_loss: 14.623631477355957
Best val_loss So Far: 13.268708229064941
Total elapsed time: 00h 01m 05s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
3 |2 |n_layers
64 |64 |filter_unit0
64 |64 |filter_unit1
256 |None |filter_unit2
3 |2 |kernel_size0
1 |3 |kernel_size1
5 |None |kernel_size2
4 |1 |pool_size0
5 |4 |pool_size1
1 |None |pool_size2
5 |2 |stride_size0
1 |1 |stride_size1
1 |None |stride_size2
0.4 |0.1 |dropout0
0.2 |0.3 |dropout1
0.1 |None |dropout2
[2K
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0049s vs `on_train_batch_end` time: 0.0260s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0049s vs `on_train_batch_end` time: 0.0260s). Check your callbacks.
[2K
Trial 6 Complete [00h 00m 04s]
val_loss: 15.424214363098145
Best val_loss So Far: 13.268708229064941
Total elapsed time: 00h 01m 09s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
3 |2 |n_layers
128 |64 |filter_unit0
128 |64 |filter_unit1
256 |None |filter_unit2
1 |2 |kernel_size0
1 |3 |kernel_size1
5 |None |kernel_size2
5 |1 |pool_size0
2 |4 |pool_size1
1 |None |pool_size2
1 |2 |stride_size0
1 |1 |stride_size1
3 |None |stride_size2
0 |0.1 |dropout0
0.2 |0.3 |dropout1
0 |None |dropout2
[2K
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0035s vs `on_train_batch_end` time: 0.0196s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0035s vs `on_train_batch_end` time: 0.0196s). Check your callbacks.
[2K
Trial 7 Complete [00h 00m 05s]
val_loss: 14.12553882598877
Best val_loss So Far: 13.268708229064941
Total elapsed time: 00h 01m 14s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
2 |2 |n_layers
256 |64 |filter_unit0
128 |64 |filter_unit1
3 |2 |kernel_size0
3 |3 |kernel_size1
1 |1 |pool_size0
2 |4 |pool_size1
1 |2 |stride_size0
1 |1 |stride_size1
0 |0.1 |dropout0
0.4 |0.3 |dropout1
[2K
[2K
Trial 8 Complete [00h 00m 03s]
val_loss: 14.297551155090332
Best val_loss So Far: 13.268708229064941
Total elapsed time: 00h 01m 18s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
1 |2 |n_layers
64 |64 |filter_unit0
4 |2 |kernel_size0
1 |1 |pool_size0
4 |2 |stride_size0
0.4 |0.1 |dropout0
[2K
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0038s vs `on_train_batch_end` time: 0.0161s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0038s vs `on_train_batch_end` time: 0.0161s). Check your callbacks.
[2K
Trial 9 Complete [00h 00m 03s]
val_loss: 13.193981170654297
Best val_loss So Far: 13.193981170654297
Total elapsed time: 00h 01m 20s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
256 |64 |filter_unit0
32 |None |filter_unit1
32 |None |filter_unit2
3 |4 |kernel_size0
4 |None |kernel_size1
5 |None |kernel_size2
2 |1 |pool_size0
1 |None |pool_size1
2 |None |pool_size2
1 |4 |stride_size0
5 |None |stride_size1
1 |None |stride_size2
0.3 |0.4 |dropout0
0.4 |None |dropout1
0.1 |None |dropout2
[2K
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0054s vs `on_train_batch_end` time: 0.0376s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0054s vs `on_train_batch_end` time: 0.0376s). Check your callbacks.
[2K
Trial 10 Complete [00h 00m 04s]
val_loss: 15.149616241455078
Best val_loss So Far: 13.193981170654297
Total elapsed time: 00h 01m 24s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
32 |64 |filter_unit0
256 |None |filter_unit1
256 |None |filter_unit2
256 |None |filter_unit3
2 |4 |kernel_size0
5 |None |kernel_size1
2 |None |kernel_size2
2 |None |kernel_size3
5 |1 |pool_size0
2 |None |pool_size1
4 |None |pool_size2
5 |None |pool_size3
1 |4 |stride_size0
1 |None |stride_size1
2 |None |stride_size2
2 |None |stride_size3
0.4 |0.4 |dropout0
0.1 |None |dropout1
0 |None |dropout2
0.1 |None |dropout3
[2K
[2K
Trial 11 Complete [00h 00m 07s]
val_loss: 14.315411567687988
Best val_loss So Far: 13.193981170654297
Total elapsed time: 00h 01m 31s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
64 |64 |filter_unit0
256 |None |filter_unit1
128 |None |filter_unit2
128 |None |filter_unit3
256 |None |filter_unit4
2 |4 |kernel_size0
2 |None |kernel_size1
1 |None |kernel_size2
4 |None |kernel_size3
3 |None |kernel_size4
2 |1 |pool_size0
5 |None |pool_size1
2 |None |pool_size2
4 |None |pool_size3
1 |None |pool_size4
4 |4 |stride_size0
5 |None |stride_size1
4 |None |stride_size2
4 |None |stride_size3
1 |None |stride_size4
0.1 |0.4 |dropout0
0.2 |None |dropout1
0.3 |None |dropout2
0.3 |None |dropout3
0.2 |None |dropout4
[2K
[2K
Trial 12 Complete [00h 00m 05s]
val_loss: 14.729777336120605
Best val_loss So Far: 13.193981170654297
Total elapsed time: 00h 01m 36s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
32 |64 |filter_unit0
32 |None |filter_unit1
3 |4 |kernel_size0
3 |None |kernel_size1
1 |1 |pool_size0
3 |None |pool_size1
1 |4 |stride_size0
5 |None |stride_size1
0.3 |0.4 |dropout0
0.2 |None |dropout1
[2K
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0047s vs `on_train_batch_end` time: 0.0116s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0047s vs `on_train_batch_end` time: 0.0116s). Check your callbacks.
[2K
Trial 13 Complete [00h 00m 03s]
val_loss: 16.19850730895996
Best val_loss So Far: 13.193981170654297
Total elapsed time: 00h 01m 39s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
256 |64 |filter_unit0
256 |None |filter_unit1
64 |None |filter_unit2
32 |None |filter_unit3
2 |4 |kernel_size0
2 |None |kernel_size1
4 |None |kernel_size2
2 |None |kernel_size3
2 |1 |pool_size0
2 |None |pool_size1
1 |None |pool_size2
2 |None |pool_size3
5 |4 |stride_size0
4 |None |stride_size1
4 |None |stride_size2
4 |None |stride_size3
0.3 |0.4 |dropout0
0.1 |None |dropout1
0.4 |None |dropout2
0.4 |None |dropout3
[2K
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0056s vs `on_train_batch_end` time: 0.0127s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0056s vs `on_train_batch_end` time: 0.0127s). Check your callbacks.
[2K
Trial 14 Complete [00h 00m 04s]
val_loss: 14.700480461120605
Best val_loss So Far: 13.193981170654297
Total elapsed time: 00h 01m 43s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
64 |64 |filter_unit0
256 |None |filter_unit1
128 |None |filter_unit2
128 |None |filter_unit3
1 |4 |kernel_size0
1 |None |kernel_size1
1 |None |kernel_size2
2 |None |kernel_size3
4 |1 |pool_size0
4 |None |pool_size1
1 |None |pool_size2
3 |None |pool_size3
2 |4 |stride_size0
1 |None |stride_size1
3 |None |stride_size2
1 |None |stride_size3
0.3 |0.4 |dropout0
0.1 |None |dropout1
0.1 |None |dropout2
0.1 |None |dropout3
[2K
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0062s vs `on_train_batch_end` time: 0.0144s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0062s vs `on_train_batch_end` time: 0.0144s). Check your callbacks.
[2K
Trial 15 Complete [00h 00m 05s]
val_loss: 14.629619598388672
Best val_loss So Far: 13.193981170654297
Total elapsed time: 00h 01m 47s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
256 |64 |filter_unit0
128 |None |filter_unit1
64 |None |filter_unit2
256 |None |filter_unit3
256 |None |filter_unit4
3 |4 |kernel_size0
2 |None |kernel_size1
4 |None |kernel_size2
3 |None |kernel_size3
2 |None |kernel_size4
5 |1 |pool_size0
1 |None |pool_size1
3 |None |pool_size2
1 |None |pool_size3
1 |None |pool_size4
2 |4 |stride_size0
4 |None |stride_size1
4 |None |stride_size2
4 |None |stride_size3
3 |None |stride_size4
0.2 |0.4 |dropout0
0.2 |None |dropout1
0.3 |None |dropout2
0 |None |dropout3
0 |None |dropout4
[2K
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0053s vs `on_train_batch_end` time: 0.0114s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0053s vs `on_train_batch_end` time: 0.0114s). Check your callbacks.
[2K
Trial 16 Complete [00h 00m 07s]
val_loss: 14.564285278320312
Best val_loss So Far: 13.193981170654297
Total elapsed time: 00h 01m 54s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
32 |64 |filter_unit0
128 |None |filter_unit1
128 |None |filter_unit2
128 |None |filter_unit3
1 |4 |kernel_size0
3 |None |kernel_size1
4 |None |kernel_size2
1 |None |kernel_size3
5 |1 |pool_size0
1 |None |pool_size1
1 |None |pool_size2
4 |None |pool_size3
1 |4 |stride_size0
2 |None |stride_size1
2 |None |stride_size2
5 |None |stride_size3
0.1 |0.4 |dropout0
0.4 |None |dropout1
0 |None |dropout2
0 |None |dropout3
[2K
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0045s vs `on_train_batch_end` time: 0.0221s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0045s vs `on_train_batch_end` time: 0.0221s). Check your callbacks.
[2K
Trial 17 Complete [00h 00m 05s]
val_loss: 14.9985933303833
Best val_loss So Far: 13.193981170654297
Total elapsed time: 00h 02m 00s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
256 |64 |filter_unit0
128 |None |filter_unit1
32 |None |filter_unit2
2 |4 |kernel_size0
4 |None |kernel_size1
1 |None |kernel_size2
2 |1 |pool_size0
3 |None |pool_size1
5 |None |pool_size2
1 |4 |stride_size0
5 |None |stride_size1
5 |None |stride_size2
0.4 |0.4 |dropout0
0 |None |dropout1
0.1 |None |dropout2
[2K
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0035s vs `on_train_batch_end` time: 0.0130s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0035s vs `on_train_batch_end` time: 0.0130s). Check your callbacks.
[2K
Trial 18 Complete [00h 00m 05s]
val_loss: 14.612730979919434
Best val_loss So Far: 13.193981170654297
Total elapsed time: 00h 02m 05s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
128 |64 |filter_unit0
128 |None |filter_unit1
4 |4 |kernel_size0
5 |None |kernel_size1
2 |1 |pool_size0
4 |None |pool_size1
1 |4 |stride_size0
5 |None |stride_size1
0.1 |0.4 |dropout0
0.3 |None |dropout1
[2K
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0080s vs `on_train_batch_end` time: 0.0243s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0080s vs `on_train_batch_end` time: 0.0243s). Check your callbacks.
[2K
Trial 19 Complete [00h 00m 03s]
val_loss: 15.478955268859863
Best val_loss So Far: 13.193981170654297
Total elapsed time: 00h 02m 08s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
128 |64 |filter_unit0
256 |None |filter_unit1
32 |None |filter_unit2
128 |None |filter_unit3
64 |None |filter_unit4
2 |4 |kernel_size0
5 |None |kernel_size1
2 |None |kernel_size2
4 |None |kernel_size3
2 |None |kernel_size4
4 |1 |pool_size0
2 |None |pool_size1
2 |None |pool_size2
3 |None |pool_size3
3 |None |pool_size4
1 |4 |stride_size0
2 |None |stride_size1
1 |None |stride_size2
5 |None |stride_size3
3 |None |stride_size4
0 |0.4 |dropout0
0.4 |None |dropout1
0.2 |None |dropout2
0.3 |None |dropout3
0 |None |dropout4
[2K
[2K
Trial 20 Complete [00h 00m 06s]
val_loss: 14.47424602508545
Best val_loss So Far: 13.193981170654297
Total elapsed time: 00h 02m 14s
{'n_layers': 1, 'filter_unit0': 64, 'kernel_size0': 4, 'pool_size0': 1, 'stride_size0': 4, 'dropout0': 0.4}
Epoch 1/200
1/4 [======>.......................] - ETA: 3s - loss: 7.5555WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 1s 9ms/step - loss: 6.5325 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 7.1701WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 6.1303 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 5.6658WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.9582 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 6.0306WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.7751 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 6.9230WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.4716 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7974WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.1952 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 5.7780WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.0990 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4343WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.6806 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7350WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.6637 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9048WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.5120 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0520WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1976 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0748WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.0421 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9158WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2035 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7260WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.0133 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6611WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.9784 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0938WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.8924 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9391WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.6303 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4847WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.6494 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7906WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.4401 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8123WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.4018 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3474WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.4619 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5723WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.2773 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0602WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.1781 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2830WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.1316 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2862WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0611 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2213WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.1795 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3678WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9498 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5132WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.7246 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2438WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0605 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8560WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9598 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7127WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.8009 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5283WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.8669 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4670WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.7677 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4285WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.7087 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5008WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.6359 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1327WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.6546 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6622WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.6099 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4535WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.5495 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5483WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.6237 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5541WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4852 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4674WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.5639 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9947WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3372 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9404WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3979 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9823WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.2789 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0113WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3157 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8286WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.2177 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3908WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3827 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5059WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3711 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6760WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3601 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1906WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.2538 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5226WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.2308 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2617WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.1853 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2059WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3668 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7577WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.1278 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2207WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3290 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3579WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.0990 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1732WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.0401 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3669WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.0393 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8702WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.9937 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6769WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.0556 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1768WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.1013 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9589WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.9301 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0257WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.0837 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1593WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.7939 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8038WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.9387 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0549WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.9249 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5736WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.9301 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7730WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.8983 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8534WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.7998 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9027WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.8778 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1782WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.9130 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1392WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.8305 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1043WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.8834 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0599WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.7948 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1774WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.7668 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2096WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.7430 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5480WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.7348 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7450WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.8093 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3919WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.6444 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5151WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.7388 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3477WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.6574 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5734WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.6732 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6548WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.6678 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6360WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.6483 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6114WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.6869 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9926WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.8465 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7522WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.9007 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4485WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.6709 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5606WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.6345 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7540WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.5585 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3370WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.5439 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4694WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.6715 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4084WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.5984 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4067WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.6453 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5316WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.6700 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1932WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.5352 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7726WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.6643 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8803WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.5813 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5488WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.5795 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4139WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.6006 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0931WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.5562 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6416WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.5552 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9294WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.5912 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4458WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.5295 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6655WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.6028 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6394WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.6038 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7111WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.5054 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1774WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.5442 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3028WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.6223 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7317WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.5059 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5519WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.6341 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5230WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.4327 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9849WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.5167 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4954WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.4260 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6846WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.4992 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4760WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.5438 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5352WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.5512 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9438WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.5649 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2803WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.6076 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1711WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.4498 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4100WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.6402 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6260WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.5808 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3938WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.3212 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4340WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.5179 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2427WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.5629 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2519WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.3701 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5467WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.5312 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5801WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.4877 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2734WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.5094 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4848WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.4161 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9906WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.5174 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9774WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.6547 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5368WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.4127 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5277WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.3849 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5927WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.4302 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4379WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.4711 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8588WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.5875 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2831WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.2554 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6532WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.3948 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0910WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.4239 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6855WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.5162 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4804WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.5759 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3795WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.3037 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5389WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.4618 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3348WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.3354 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1834WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.4083 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6383WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.3819 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6067WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.5083 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3498WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.3365 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2968WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.5697 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7940WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.7031 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7396WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.3776 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0542WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.3436 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5326WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.4194 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5189WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.5831 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5583WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.4895 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5130WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.6563 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3646WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.4187 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7116WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.4808 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2603WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.6514 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9186WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.6718 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2878WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.4666 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4076WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.4855 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2748WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.4793 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9318WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.5067 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4158WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.5902 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3349WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.4886 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2924WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.5096 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9942WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.6550 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1002WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.4319 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5843WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.5504 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2782WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.4124 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4305WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.5394 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4988WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.4713 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4027WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 1.3243 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2638WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.5556 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5708WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.4825 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3482WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.3973 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4234WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.3676 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5497WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.5309 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3807WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.4199 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7514WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.4123 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6638WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.5173 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3234WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.5169 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3135WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.4559 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3895WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.4808 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7612WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.4659 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8438WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.5951 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4163WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.5170 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5220WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.5236 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6544WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.4918 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6833WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.4067 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3003WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.4338 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1383WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.5127 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4416WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.4041 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5679WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.4979 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4150WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.5401 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1102WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.4631 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2082WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.4997 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1260WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 1.3334 - lr: 4.5400e-09
{'n_layers': 1, 'filter_unit0': 64, 'kernel_size0': 4, 'pool_size0': 1, 'stride_size0': 4, 'dropout0': 0.4}
1/39 [..............................] - ETA: 5s
31/39 [======================>.......] - ETA: 0s
39/39 [==============================] - 0s 2ms/step
adding new entry
subject config_id mdl_str ... r2 pearsonr_coeff pearsonr_pval
0 Pilot02 0 linreg ... -9.864563 0.038776 0.364940
1 Pilot02 0 linreg ... -11.875765 0.070097 0.101171
2 Pilot02 0 linreg ... -11.069278 0.047023 0.271822
3 Pilot02 0 linreg ... -25.345517 0.016892 0.693177
4 Pilot02 0 linreg ... -15.299470 0.118749 0.005380
.. ... ... ... ... ... ... ...
441 Pilot02 8 linreg ... -11.103152 0.121706 0.000013
442 Pilot02 8 linreg ... -1.049395 0.027840 0.319607
443 Pilot03 1 cnn1d ... -2.907395 -0.076130 0.017254
444 Pilot03 1 cnn1d ... -2.028173 0.049265 0.123653
445 Pilot02 1 cnn1d ... -8.049662 -0.076824 0.006666
[446 rows x 18 columns]
imu-bvp_rr_Pilot02_id1_combi5.0-7.0-10.0-12.0-17.0
train
(35921, 11)
test
(364536, 10)
---CNN1D---
input shape: (1440, 7)
x shape: (115, 1440, 7)
Search: Running Trial #1
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
64 |64 |filter_unit0
4 |4 |kernel_size0
2 |2 |pool_size0
4 |4 |stride_size0
0.3 |0.3 |dropout0
[2K
[2K
Trial 1 Complete [00h 00m 03s]
val_loss: 15.997161865234375
Best val_loss So Far: 15.997161865234375
Total elapsed time: 00h 00m 03s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
128 |64 |filter_unit0
64 |None |filter_unit1
256 |None |filter_unit2
2 |4 |kernel_size0
1 |None |kernel_size1
3 |None |kernel_size2
5 |2 |pool_size0
1 |None |pool_size1
3 |None |pool_size2
4 |4 |stride_size0
3 |None |stride_size1
3 |None |stride_size2
0.2 |0.3 |dropout0
0.3 |None |dropout1
0.3 |None |dropout2
[2K
[2K
Trial 2 Complete [00h 00m 04s]
val_loss: 16.536474227905273
Best val_loss So Far: 15.997161865234375
Total elapsed time: 00h 00m 07s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
128 |64 |filter_unit0
256 |None |filter_unit1
4 |4 |kernel_size0
5 |None |kernel_size1
1 |2 |pool_size0
4 |None |pool_size1
5 |4 |stride_size0
3 |None |stride_size1
0.4 |0.3 |dropout0
0.2 |None |dropout1
[2K
[2K
Trial 3 Complete [00h 00m 03s]
val_loss: 15.79464340209961
Best val_loss So Far: 15.79464340209961
Total elapsed time: 00h 00m 10s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
4 |2 |n_layers
32 |128 |filter_unit0
128 |256 |filter_unit1
128 |None |filter_unit2
128 |None |filter_unit3
3 |4 |kernel_size0
1 |5 |kernel_size1
3 |None |kernel_size2
4 |None |kernel_size3
1 |1 |pool_size0
4 |4 |pool_size1
5 |None |pool_size2
2 |None |pool_size3
5 |5 |stride_size0
1 |3 |stride_size1
5 |None |stride_size2
3 |None |stride_size3
0.2 |0.4 |dropout0
0.1 |0.2 |dropout1
0.3 |None |dropout2
0.4 |None |dropout3
[2K
[2K
Trial 4 Complete [00h 00m 05s]
val_loss: 15.87838077545166
Best val_loss So Far: 15.79464340209961
Total elapsed time: 00h 00m 16s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
3 |2 |n_layers
128 |128 |filter_unit0
128 |256 |filter_unit1
32 |None |filter_unit2
2 |4 |kernel_size0
3 |5 |kernel_size1
5 |None |kernel_size2
5 |1 |pool_size0
3 |4 |pool_size1
4 |None |pool_size2
5 |5 |stride_size0
4 |3 |stride_size1
5 |None |stride_size2
0.2 |0.4 |dropout0
0.3 |0.2 |dropout1
0.3 |None |dropout2
[2K
[2K
Trial 5 Complete [00h 00m 04s]
val_loss: 16.12953758239746
Best val_loss So Far: 15.79464340209961
Total elapsed time: 00h 00m 20s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
4 |2 |n_layers
256 |128 |filter_unit0
256 |256 |filter_unit1
256 |None |filter_unit2
256 |None |filter_unit3
4 |4 |kernel_size0
5 |5 |kernel_size1
4 |None |kernel_size2
5 |None |kernel_size3
1 |1 |pool_size0
3 |4 |pool_size1
3 |None |pool_size2
1 |None |pool_size3
1 |5 |stride_size0
2 |3 |stride_size1
2 |None |stride_size2
4 |None |stride_size3
0.4 |0.4 |dropout0
0 |0.2 |dropout1
0.4 |None |dropout2
0.4 |None |dropout3
[2K
[2K
Trial 6 Complete [00h 00m 07s]
val_loss: 16.235149383544922
Best val_loss So Far: 15.79464340209961
Total elapsed time: 00h 00m 27s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
5 |2 |n_layers
32 |128 |filter_unit0
128 |256 |filter_unit1
32 |None |filter_unit2
256 |None |filter_unit3
128 |None |filter_unit4
2 |4 |kernel_size0
4 |5 |kernel_size1
2 |None |kernel_size2
3 |None |kernel_size3
1 |None |kernel_size4
4 |1 |pool_size0
2 |4 |pool_size1
1 |None |pool_size2
4 |None |pool_size3
2 |None |pool_size4
2 |5 |stride_size0
4 |3 |stride_size1
2 |None |stride_size2
4 |None |stride_size3
2 |None |stride_size4
0.3 |0.4 |dropout0
0.4 |0.2 |dropout1
0 |None |dropout2
0.2 |None |dropout3
0.1 |None |dropout4
[2K
[2K
Trial 7 Complete [00h 00m 05s]
val_loss: 16.201007843017578
Best val_loss So Far: 15.79464340209961
Total elapsed time: 00h 00m 32s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
5 |2 |n_layers
32 |128 |filter_unit0
128 |256 |filter_unit1
32 |None |filter_unit2
32 |None |filter_unit3
32 |None |filter_unit4
1 |4 |kernel_size0
2 |5 |kernel_size1
5 |None |kernel_size2
4 |None |kernel_size3
2 |None |kernel_size4
1 |1 |pool_size0
3 |4 |pool_size1
5 |None |pool_size2
4 |None |pool_size3
5 |None |pool_size4
2 |5 |stride_size0
2 |3 |stride_size1
5 |None |stride_size2
3 |None |stride_size3
2 |None |stride_size4
0.1 |0.4 |dropout0
0.1 |0.2 |dropout1
0 |None |dropout2
0.3 |None |dropout3
0 |None |dropout4
[2K
[2K
Trial 8 Complete [00h 00m 05s]
val_loss: 16.51142120361328
Best val_loss So Far: 15.79464340209961
Total elapsed time: 00h 00m 38s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
3 |2 |n_layers
64 |128 |filter_unit0
256 |256 |filter_unit1
128 |None |filter_unit2
2 |4 |kernel_size0
3 |5 |kernel_size1
2 |None |kernel_size2
4 |1 |pool_size0
4 |4 |pool_size1
3 |None |pool_size2
1 |5 |stride_size0
2 |3 |stride_size1
2 |None |stride_size2
0.4 |0.4 |dropout0
0 |0.2 |dropout1
0.1 |None |dropout2
[2K
[2K
Trial 9 Complete [00h 00m 04s]
val_loss: 15.330345153808594
Best val_loss So Far: 15.330345153808594
Total elapsed time: 00h 00m 42s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
2 |3 |n_layers
64 |64 |filter_unit0
64 |256 |filter_unit1
4 |2 |kernel_size0
3 |3 |kernel_size1
4 |4 |pool_size0
2 |4 |pool_size1
4 |1 |stride_size0
4 |2 |stride_size1
0.1 |0.4 |dropout0
0.3 |0 |dropout1
[2K
[2K
Trial 10 Complete [00h 00m 03s]
val_loss: 16.93007469177246
Best val_loss So Far: 15.330345153808594
Total elapsed time: 00h 00m 45s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
1 |3 |n_layers
64 |64 |filter_unit0
4 |2 |kernel_size0
2 |4 |pool_size0
3 |1 |stride_size0
0.3 |0.4 |dropout0
[2K
[2K
Trial 11 Complete [00h 00m 02s]
val_loss: 17.00583839416504
Best val_loss So Far: 15.330345153808594
Total elapsed time: 00h 00m 47s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
1 |3 |n_layers
256 |64 |filter_unit0
4 |2 |kernel_size0
3 |4 |pool_size0
3 |1 |stride_size0
0.1 |0.4 |dropout0
[2K
[2K
Trial 12 Complete [00h 00m 02s]
val_loss: 15.704206466674805
Best val_loss So Far: 15.330345153808594
Total elapsed time: 00h 00m 49s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
1 |3 |n_layers
64 |64 |filter_unit0
4 |2 |kernel_size0
3 |4 |pool_size0
5 |1 |stride_size0
0.2 |0.4 |dropout0
[2K
[2K
Trial 13 Complete [00h 00m 02s]
val_loss: 18.359569549560547
Best val_loss So Far: 15.330345153808594
Total elapsed time: 00h 00m 51s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
3 |3 |n_layers
32 |64 |filter_unit0
32 |256 |filter_unit1
32 |128 |filter_unit2
5 |2 |kernel_size0
1 |3 |kernel_size1
4 |2 |kernel_size2
3 |4 |pool_size0
1 |4 |pool_size1
5 |3 |pool_size2
3 |1 |stride_size0
2 |2 |stride_size1
1 |2 |stride_size2
0.2 |0.4 |dropout0
0.3 |0 |dropout1
0.2 |0.1 |dropout2
[2K
[2K
Trial 14 Complete [00h 00m 03s]
val_loss: 14.652397155761719
Best val_loss So Far: 14.652397155761719
Total elapsed time: 00h 00m 55s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
4 |3 |n_layers
128 |32 |filter_unit0
64 |32 |filter_unit1
64 |32 |filter_unit2
128 |None |filter_unit3
2 |5 |kernel_size0
5 |1 |kernel_size1
1 |4 |kernel_size2
2 |None |kernel_size3
1 |3 |pool_size0
4 |1 |pool_size1
2 |5 |pool_size2
1 |None |pool_size3
5 |3 |stride_size0
3 |2 |stride_size1
5 |1 |stride_size2
4 |None |stride_size3
0 |0.2 |dropout0
0.3 |0.3 |dropout1
0.3 |0.2 |dropout2
0 |None |dropout3
[2K
[2K
Trial 15 Complete [00h 00m 04s]
val_loss: 16.245800018310547
Best val_loss So Far: 14.652397155761719
Total elapsed time: 00h 00m 59s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
4 |3 |n_layers
32 |32 |filter_unit0
128 |32 |filter_unit1
128 |32 |filter_unit2
32 |None |filter_unit3
4 |5 |kernel_size0
2 |1 |kernel_size1
5 |4 |kernel_size2
4 |None |kernel_size3
2 |3 |pool_size0
3 |1 |pool_size1
2 |5 |pool_size2
3 |None |pool_size3
5 |3 |stride_size0
3 |2 |stride_size1
1 |1 |stride_size2
2 |None |stride_size3
0.3 |0.2 |dropout0
0.3 |0.3 |dropout1
0.4 |0.2 |dropout2
0 |None |dropout3
[2K
[2K
Trial 16 Complete [00h 00m 05s]
val_loss: 16.368114471435547
Best val_loss So Far: 14.652397155761719
Total elapsed time: 00h 01m 04s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
2 |3 |n_layers
128 |32 |filter_unit0
32 |32 |filter_unit1
2 |5 |kernel_size0
3 |1 |kernel_size1
2 |3 |pool_size0
5 |1 |pool_size1
4 |3 |stride_size0
4 |2 |stride_size1
0.3 |0.2 |dropout0
0.2 |0.3 |dropout1
[2K
[2K
Trial 17 Complete [00h 00m 03s]
val_loss: 15.87022876739502
Best val_loss So Far: 14.652397155761719
Total elapsed time: 00h 01m 07s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
3 |3 |n_layers
128 |32 |filter_unit0
32 |32 |filter_unit1
32 |32 |filter_unit2
2 |5 |kernel_size0
1 |1 |kernel_size1
5 |4 |kernel_size2
1 |3 |pool_size0
4 |1 |pool_size1
4 |5 |pool_size2
2 |3 |stride_size0
5 |2 |stride_size1
4 |1 |stride_size2
0 |0.2 |dropout0
0.2 |0.3 |dropout1
0 |0.2 |dropout2
[2K
[2K
Trial 18 Complete [00h 00m 04s]
val_loss: 16.606935501098633
Best val_loss So Far: 14.652397155761719
Total elapsed time: 00h 01m 11s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
4 |3 |n_layers
128 |32 |filter_unit0
64 |32 |filter_unit1
128 |32 |filter_unit2
128 |None |filter_unit3
4 |5 |kernel_size0
3 |1 |kernel_size1
5 |4 |kernel_size2
3 |None |kernel_size3
4 |3 |pool_size0
3 |1 |pool_size1
3 |5 |pool_size2
2 |None |pool_size3
1 |3 |stride_size0
5 |2 |stride_size1
4 |1 |stride_size2
1 |None |stride_size3
0.4 |0.2 |dropout0
0.2 |0.3 |dropout1
0.1 |0.2 |dropout2
0 |None |dropout3
[2K
[2K
Trial 19 Complete [00h 00m 05s]
val_loss: 15.99439525604248
Best val_loss So Far: 14.652397155761719
Total elapsed time: 00h 01m 16s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
5 |3 |n_layers
32 |32 |filter_unit0
256 |32 |filter_unit1
64 |32 |filter_unit2
64 |None |filter_unit3
128 |None |filter_unit4
2 |5 |kernel_size0
4 |1 |kernel_size1
4 |4 |kernel_size2
2 |None |kernel_size3
5 |None |kernel_size4
2 |3 |pool_size0
4 |1 |pool_size1
5 |5 |pool_size2
1 |None |pool_size3
2 |None |pool_size4
1 |3 |stride_size0
2 |2 |stride_size1
2 |1 |stride_size2
5 |None |stride_size3
2 |None |stride_size4
0.3 |0.2 |dropout0
0.1 |0.3 |dropout1
0.4 |0.2 |dropout2
0.1 |None |dropout3
0.4 |None |dropout4
[2K
[2K
Trial 20 Complete [00h 00m 06s]
val_loss: 16.26508903503418
Best val_loss So Far: 14.652397155761719
Total elapsed time: 00h 01m 22s
{'n_layers': 3, 'filter_unit0': 32, 'filter_unit1': 32, 'filter_unit2': 32, 'kernel_size0': 5, 'kernel_size1': 1, 'kernel_size2': 4, 'pool_size0': 3, 'pool_size1': 1, 'pool_size2': 5, 'stride_size0': 3, 'stride_size1': 2, 'stride_size2': 1, 'dropout0': 0.2, 'dropout1': 0.30000000000000004, 'dropout2': 0.2}
Epoch 1/200
1/4 [======>.......................] - ETA: 6s - loss: 14.2549
4/4 [==============================] - ETA: 0s - loss: 15.6115WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 2s 31ms/step - loss: 15.6115 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 16.1636WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 15.1538 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 14.6921WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 15.2203 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 15.6477WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 14.8265 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 13.8656WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 14.6214 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 13.9443WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 14.5366 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 15.0452WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 14.3667 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 14.1849WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 14.2491 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 13.2086WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 13.9646 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 13.5214WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 13.5425 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 13.9100WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 13.3493 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 13.7684WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 13.3544 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 12.5806WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 13.1725 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 12.2295WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 13.1536 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 13.5028WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 12.6292 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 13.2961WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 12.5037 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 11.0737WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 12.1180 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 13.3002WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 12.0436 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 13.2627WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 11.6299 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 10.7175WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 11.4065 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 11.8062WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 11.3742 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 11.6303WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 11.1158 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 11.0387WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 11.0276 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 10.2357WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 10.5359 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 9.6173WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 10.5117 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 10.3055WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 10.2454 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 10.2585WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 10.0064 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 10.7017WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 9.7197 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 9.8972WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 9.3093 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 9.0363WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 9.0683 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 9.8664WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 9.2165 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 9.2773WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 8.9259 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 8.1841WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 8.6796 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 7.8343WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 8.2645 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 9.1758WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 8.2310 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 7.3550WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.9432 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 9.3228WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.9323 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 7.3267WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.6757 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 7.3685WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.3983 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 7.7857WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.4729 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 7.5713WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.2843 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 6.8783WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.3268 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 7.4042WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.0108 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 6.2316WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.0449 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 6.0268WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.2186 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 6.1697WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 6.8078 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 7.1542WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 6.8661 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 5.7756WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 6.6996 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 6.5866WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 6.5278 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 6.2195WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 6.2367 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 5.7737WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 6.5204 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 6.9530WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 6.3893 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 5.6069WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 6.2511 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 6.0257WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 6.0764 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4104WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 6.3566 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 6.8423WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 6.1841 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 6.1252WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 6.0139 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1904WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.6876 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7225WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 5.7777 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 6.7903WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.9811 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4293WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.6011 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 6.1040WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.7977 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 6.2722WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.6493 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2356WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.6511 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4056WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.4099 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5157WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.5196 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4346WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.1444 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8525WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.2869 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7727WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.3158 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1599WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.0445 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0989WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.0020 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0819WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.9525 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0476WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.2340 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8632WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.1022 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 6.4413WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.3476 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4623WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.0359 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5977WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.7379 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4751WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.7064 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9875WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.8428 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 5.6263WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.5016 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0838WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.7209 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 6.7094WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.7611 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9329WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.5546 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8687WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2765 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2798WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.4033 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6459WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.8526 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 5.6020WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.3901 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0580WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.3367 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6664WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.3320 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1360WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.3769 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6849WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.4969 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6472WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.3657 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7246WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.4485 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2390WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.3809 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8184WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2003 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8054WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.6065 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4725WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.3196 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4996WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.0914 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9184WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.4577 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2047WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2989 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4626WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2077 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2550WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2751 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6662WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.0649 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1253WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.0818 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3377WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1700 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5226WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1451 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0715WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.0850 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1627WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1457 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6504WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1681 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3253WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.0776 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4000WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1440 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5626WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1885 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1097WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1614 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4499WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2716 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0638WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2792 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1289WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2275 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6419WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1779 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0289WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1065 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2843WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.7380 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6870WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.3815 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9738WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.0374 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3123WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.9668 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6142WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1516 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4423WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1157 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3207WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.4086 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1883WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.3894 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8817WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.0403 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5228WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2211 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6114WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2823 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7585WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.8281 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4065WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1193 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2876WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.0351 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8767WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.0890 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1357WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1044 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9677WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.0353 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2788WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1831 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9885WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.0948 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9721WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2681 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4880WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.0527 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6392WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1065 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0671WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.3779 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2126WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2044 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9044WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2945 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2469WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.9050 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9910WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.0680 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5218WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.9740 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3652WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.3059 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1514WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1884 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5380WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.0957 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3466WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.0882 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4492WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.0937 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5329WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.0716 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6136WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.0424 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7756WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1834 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2471WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1235 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9222WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2596 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4220WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1514 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7125WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.9736 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6326WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.4153 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7195WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.9474 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4195WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.0338 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9850WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.9869 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1919WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2322 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4165WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.8993 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8435WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.9274 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8377WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.0628 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7799WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1514 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4482WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.1253 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9900WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.9020 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5204WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.0456 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6811WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2469 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9680WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.3891 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 5.5921WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.3166 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6054WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.0319 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3044WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.0163 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9820WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.3189 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6478WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1394 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7273WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1343 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8669WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.0491 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0100WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2349 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7725WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2456 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1537WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2363 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4324WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.9987 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5446WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1881 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8160WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.0569 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3484WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.9414 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7539WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2164 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6236WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2852 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3502WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1814 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3177WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1183 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7662WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.9568 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7077WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.0320 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3426WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.0725 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0371WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.9487 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1017WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1651 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6998WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1281 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7069WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1404 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6168WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1678 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5787WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.2634 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6473WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1864 - lr: 4.5400e-09
{'n_layers': 3, 'filter_unit0': 32, 'filter_unit1': 32, 'filter_unit2': 32, 'kernel_size0': 5, 'kernel_size1': 1, 'kernel_size2': 4, 'pool_size0': 3, 'pool_size1': 1, 'pool_size2': 5, 'stride_size0': 3, 'stride_size1': 2, 'stride_size2': 1, 'dropout0': 0.2, 'dropout1': 0.30000000000000004, 'dropout2': 0.2}
1/39 [..............................] - ETA: 9s
31/39 [======================>.......] - ETA: 0s
39/39 [==============================] - 0s 3ms/step
WARNING:tensorflow:Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
adding new entry
subject config_id mdl_str ... r2 pearsonr_coeff pearsonr_pval
0 Pilot02 0 linreg ... -9.864563 0.038776 0.364940
1 Pilot02 0 linreg ... -11.875765 0.070097 0.101171
2 Pilot02 0 linreg ... -11.069278 0.047023 0.271822
3 Pilot02 0 linreg ... -25.345517 0.016892 0.693177
4 Pilot02 0 linreg ... -15.299470 0.118749 0.005380
.. ... ... ... ... ... ... ...
443 Pilot03 1 cnn1d ... -2.907395 -0.076130 0.017254
444 Pilot03 1 cnn1d ... -2.028173 0.049265 0.123653
445 Pilot02 1 cnn1d ... -8.049662 -0.076824 0.006666
446 Pilot03 1 cnn1d ... -0.682358 -0.037554 0.240661
447 Pilot02 1 cnn1d ... -14.593487 -0.008966 0.751862
[448 rows x 18 columns]
imu-bvp_rr_Pilot02_id1_combi5.0-7.0-10.0-12.0-20.0
train
(35921, 11)
test
(364536, 10)
---CNN1D---
input shape: (1440, 7)
x shape: (115, 1440, 7)
Search: Running Trial #1
Value |Best Value So Far |Hyperparameter
4 |4 |n_layers
32 |32 |filter_unit0
128 |128 |filter_unit1
64 |64 |filter_unit2
128 |128 |filter_unit3
5 |5 |kernel_size0
5 |5 |kernel_size1
3 |3 |kernel_size2
4 |4 |kernel_size3
4 |4 |pool_size0
3 |3 |pool_size1
1 |1 |pool_size2
5 |5 |pool_size3
1 |1 |stride_size0
3 |3 |stride_size1
2 |2 |stride_size2
2 |2 |stride_size3
0.2 |0.2 |dropout0
0.1 |0.1 |dropout1
0.4 |0.4 |dropout2
0 |0 |dropout3
[2K
[2K
Trial 1 Complete [00h 00m 05s]
val_loss: 18.648862838745117
Best val_loss So Far: 18.648862838745117
Total elapsed time: 00h 00m 05s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
1 |4 |n_layers
32 |32 |filter_unit0
3 |5 |kernel_size0
4 |4 |pool_size0
1 |1 |stride_size0
0 |0.2 |dropout0
[2K
[2K
Trial 2 Complete [00h 00m 02s]
val_loss: 18.17690086364746
Best val_loss So Far: 18.17690086364746
Total elapsed time: 00h 00m 07s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
256 |32 |filter_unit0
128 |None |filter_unit1
128 |None |filter_unit2
1 |3 |kernel_size0
3 |None |kernel_size1
1 |None |kernel_size2
3 |4 |pool_size0
4 |None |pool_size1
1 |None |pool_size2
3 |1 |stride_size0
2 |None |stride_size1
5 |None |stride_size2
0.3 |0 |dropout0
0.2 |None |dropout1
0.2 |None |dropout2
[2K
[2K
Trial 3 Complete [00h 00m 05s]
val_loss: 18.705795288085938
Best val_loss So Far: 18.17690086364746
Total elapsed time: 00h 00m 12s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
256 |32 |filter_unit0
4 |3 |kernel_size0
5 |4 |pool_size0
5 |1 |stride_size0
0.4 |0 |dropout0
[2K
[2K
Trial 4 Complete [00h 00m 02s]
val_loss: 17.5530948638916
Best val_loss So Far: 17.5530948638916
Total elapsed time: 00h 00m 14s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
128 |256 |filter_unit0
256 |None |filter_unit1
1 |4 |kernel_size0
1 |None |kernel_size1
2 |5 |pool_size0
1 |None |pool_size1
1 |5 |stride_size0
2 |None |stride_size1
0.2 |0.4 |dropout0
0 |None |dropout1
[2K
[2K
Trial 5 Complete [00h 00m 04s]
val_loss: 18.905963897705078
Best val_loss So Far: 17.5530948638916
Total elapsed time: 00h 00m 18s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
64 |256 |filter_unit0
4 |4 |kernel_size0
3 |5 |pool_size0
2 |5 |stride_size0
0.4 |0.4 |dropout0
[2K
[2K
Trial 6 Complete [00h 00m 02s]
val_loss: 18.181180953979492
Best val_loss So Far: 17.5530948638916
Total elapsed time: 00h 00m 21s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
256 |256 |filter_unit0
256 |None |filter_unit1
256 |None |filter_unit2
1 |4 |kernel_size0
2 |None |kernel_size1
1 |None |kernel_size2
4 |5 |pool_size0
1 |None |pool_size1
4 |None |pool_size2
1 |5 |stride_size0
5 |None |stride_size1
5 |None |stride_size2
0.3 |0.4 |dropout0
0.3 |None |dropout1
0.3 |None |dropout2
[2K
[2K
Trial 7 Complete [00h 00m 05s]
val_loss: 19.139293670654297
Best val_loss So Far: 17.5530948638916
Total elapsed time: 00h 00m 26s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
32 |256 |filter_unit0
32 |None |filter_unit1
256 |None |filter_unit2
256 |None |filter_unit3
1 |4 |kernel_size0
2 |None |kernel_size1
1 |None |kernel_size2
1 |None |kernel_size3
2 |5 |pool_size0
2 |None |pool_size1
4 |None |pool_size2
2 |None |pool_size3
1 |5 |stride_size0
1 |None |stride_size1
5 |None |stride_size2
3 |None |stride_size3
0 |0.4 |dropout0
0.2 |None |dropout1
0.3 |None |dropout2
0.4 |None |dropout3
[2K
[2K
Trial 8 Complete [00h 00m 05s]
val_loss: 18.904834747314453
Best val_loss So Far: 17.5530948638916
Total elapsed time: 00h 00m 31s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
64 |256 |filter_unit0
256 |None |filter_unit1
128 |None |filter_unit2
128 |None |filter_unit3
3 |4 |kernel_size0
4 |None |kernel_size1
2 |None |kernel_size2
5 |None |kernel_size3
2 |5 |pool_size0
1 |None |pool_size1
1 |None |pool_size2
5 |None |pool_size3
1 |5 |stride_size0
2 |None |stride_size1
3 |None |stride_size2
5 |None |stride_size3
0.1 |0.4 |dropout0
0 |None |dropout1
0 |None |dropout2
0.2 |None |dropout3
[2K
[2K
Trial 9 Complete [00h 00m 05s]
val_loss: 18.808828353881836
Best val_loss So Far: 17.5530948638916
Total elapsed time: 00h 00m 36s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
256 |256 |filter_unit0
256 |None |filter_unit1
32 |None |filter_unit2
32 |None |filter_unit3
2 |4 |kernel_size0
5 |None |kernel_size1
3 |None |kernel_size2
4 |None |kernel_size3
2 |5 |pool_size0
5 |None |pool_size1
2 |None |pool_size2
4 |None |pool_size3
1 |5 |stride_size0
4 |None |stride_size1
2 |None |stride_size2
2 |None |stride_size3
0.2 |0.4 |dropout0
0.2 |None |dropout1
0 |None |dropout2
0 |None |dropout3
[2K
[2K
Trial 10 Complete [00h 00m 07s]
val_loss: 18.49014663696289
Best val_loss So Far: 17.5530948638916
Total elapsed time: 00h 00m 43s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
128 |256 |filter_unit0
64 |None |filter_unit1
5 |4 |kernel_size0
3 |None |kernel_size1
1 |5 |pool_size0
2 |None |pool_size1
5 |5 |stride_size0
2 |None |stride_size1
0.2 |0.4 |dropout0
0.1 |None |dropout1
[2K
[2K
Trial 11 Complete [00h 00m 03s]
val_loss: 18.752849578857422
Best val_loss So Far: 17.5530948638916
Total elapsed time: 00h 00m 46s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
32 |256 |filter_unit0
32 |None |filter_unit1
64 |None |filter_unit2
4 |4 |kernel_size0
2 |None |kernel_size1
3 |None |kernel_size2
4 |5 |pool_size0
3 |None |pool_size1
2 |None |pool_size2
1 |5 |stride_size0
1 |None |stride_size1
1 |None |stride_size2
0.1 |0.4 |dropout0
0.1 |None |dropout1
0.1 |None |dropout2
[2K
[2K
Trial 12 Complete [00h 00m 03s]
val_loss: 18.488439559936523
Best val_loss So Far: 17.5530948638916
Total elapsed time: 00h 00m 50s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
128 |256 |filter_unit0
256 |None |filter_unit1
32 |None |filter_unit2
256 |None |filter_unit3
64 |None |filter_unit4
4 |4 |kernel_size0
3 |None |kernel_size1
2 |None |kernel_size2
2 |None |kernel_size3
1 |None |kernel_size4
5 |5 |pool_size0
2 |None |pool_size1
5 |None |pool_size2
2 |None |pool_size3
1 |None |pool_size4
5 |5 |stride_size0
5 |None |stride_size1
2 |None |stride_size2
1 |None |stride_size3
5 |None |stride_size4
0.2 |0.4 |dropout0
0.3 |None |dropout1
0.4 |None |dropout2
0.4 |None |dropout3
0.1 |None |dropout4
[2K
[2K
Trial 13 Complete [00h 00m 06s]
val_loss: 18.53260612487793
Best val_loss So Far: 17.5530948638916
Total elapsed time: 00h 00m 55s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
128 |256 |filter_unit0
128 |None |filter_unit1
128 |None |filter_unit2
32 |None |filter_unit3
1 |4 |kernel_size0
5 |None |kernel_size1
1 |None |kernel_size2
5 |None |kernel_size3
5 |5 |pool_size0
3 |None |pool_size1
5 |None |pool_size2
5 |None |pool_size3
4 |5 |stride_size0
4 |None |stride_size1
4 |None |stride_size2
2 |None |stride_size3
0.2 |0.4 |dropout0
0 |None |dropout1
0.3 |None |dropout2
0.3 |None |dropout3
[2K
[2K
Trial 14 Complete [00h 00m 04s]
val_loss: 18.69849395751953
Best val_loss So Far: 17.5530948638916
Total elapsed time: 00h 01m 00s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
32 |256 |filter_unit0
64 |None |filter_unit1
32 |None |filter_unit2
4 |4 |kernel_size0
3 |None |kernel_size1
3 |None |kernel_size2
4 |5 |pool_size0
4 |None |pool_size1
1 |None |pool_size2
1 |5 |stride_size0
1 |None |stride_size1
2 |None |stride_size2
0 |0.4 |dropout0
0.4 |None |dropout1
0.4 |None |dropout2
[2K
[2K
Trial 15 Complete [00h 00m 04s]
val_loss: 18.32510757446289
Best val_loss So Far: 17.5530948638916
Total elapsed time: 00h 01m 03s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
128 |256 |filter_unit0
256 |None |filter_unit1
32 |None |filter_unit2
32 |None |filter_unit3
256 |None |filter_unit4
2 |4 |kernel_size0
5 |None |kernel_size1
5 |None |kernel_size2
5 |None |kernel_size3
4 |None |kernel_size4
4 |5 |pool_size0
5 |None |pool_size1
5 |None |pool_size2
2 |None |pool_size3
2 |None |pool_size4
3 |5 |stride_size0
1 |None |stride_size1
4 |None |stride_size2
4 |None |stride_size3
2 |None |stride_size4
0.1 |0.4 |dropout0
0.3 |None |dropout1
0.1 |None |dropout2
0.2 |None |dropout3
0.4 |None |dropout4
[2K
[2K
Trial 16 Complete [00h 00m 06s]
val_loss: 18.815227508544922
Best val_loss So Far: 17.5530948638916
Total elapsed time: 00h 01m 10s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
32 |256 |filter_unit0
32 |None |filter_unit1
32 |None |filter_unit2
256 |None |filter_unit3
5 |4 |kernel_size0
5 |None |kernel_size1
3 |None |kernel_size2
1 |None |kernel_size3
3 |5 |pool_size0
3 |None |pool_size1
1 |None |pool_size2
4 |None |pool_size3
1 |5 |stride_size0
5 |None |stride_size1
1 |None |stride_size2
4 |None |stride_size3
0.2 |0.4 |dropout0
0.3 |None |dropout1
0.2 |None |dropout2
0.4 |None |dropout3
[2K
[2K
Trial 17 Complete [00h 00m 05s]
val_loss: 19.047225952148438
Best val_loss So Far: 17.5530948638916
Total elapsed time: 00h 01m 14s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
256 |256 |filter_unit0
32 |None |filter_unit1
32 |None |filter_unit2
128 |None |filter_unit3
32 |None |filter_unit4
1 |4 |kernel_size0
5 |None |kernel_size1
4 |None |kernel_size2
2 |None |kernel_size3
2 |None |kernel_size4
4 |5 |pool_size0
2 |None |pool_size1
4 |None |pool_size2
2 |None |pool_size3
3 |None |pool_size4
4 |5 |stride_size0
2 |None |stride_size1
3 |None |stride_size2
3 |None |stride_size3
1 |None |stride_size4
0.3 |0.4 |dropout0
0.4 |None |dropout1
0.3 |None |dropout2
0 |None |dropout3
0 |None |dropout4
[2K
[2K
Trial 18 Complete [00h 00m 05s]
val_loss: 18.520153045654297
Best val_loss So Far: 17.5530948638916
Total elapsed time: 00h 01m 19s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
32 |256 |filter_unit0
256 |None |filter_unit1
32 |None |filter_unit2
5 |4 |kernel_size0
3 |None |kernel_size1
1 |None |kernel_size2
5 |5 |pool_size0
4 |None |pool_size1
5 |None |pool_size2
1 |5 |stride_size0
3 |None |stride_size1
1 |None |stride_size2
0 |0.4 |dropout0
0 |None |dropout1
0.3 |None |dropout2
[2K
[2K
Trial 19 Complete [00h 00m 05s]
val_loss: 18.55852699279785
Best val_loss So Far: 17.5530948638916
Total elapsed time: 00h 01m 24s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
32 |256 |filter_unit0
128 |None |filter_unit1
64 |None |filter_unit2
128 |None |filter_unit3
5 |4 |kernel_size0
2 |None |kernel_size1
2 |None |kernel_size2
2 |None |kernel_size3
1 |5 |pool_size0
4 |None |pool_size1
3 |None |pool_size2
3 |None |pool_size3
2 |5 |stride_size0
2 |None |stride_size1
2 |None |stride_size2
1 |None |stride_size3
0 |0.4 |dropout0
0.4 |None |dropout1
0.1 |None |dropout2
0.4 |None |dropout3
[2K
[2K
Trial 20 Complete [00h 00m 05s]
val_loss: 18.54338264465332
Best val_loss So Far: 17.5530948638916
Total elapsed time: 00h 01m 29s
{'n_layers': 1, 'filter_unit0': 256, 'kernel_size0': 4, 'pool_size0': 5, 'stride_size0': 5, 'dropout0': 0.4}
Epoch 1/200
1/4 [======>.......................] - ETA: 2s - loss: 10.8103
4/4 [==============================] - ETA: 0s - loss: 10.1749WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 1s 24ms/step - loss: 10.1749 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 8.9865WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 8.7435 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 6.7134WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 7.3688 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 7.1122WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 6.2482 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1486WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 5.5269 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5025WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 5.0732 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7319WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 4.6884 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9279WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 4.4431 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5645WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 4.4117 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5162WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 4.2808 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2673WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 4.1912 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5243WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 4.0732 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4340WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 3.9045 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0172WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 3.8029 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4673WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 3.4614 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3921WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 3.4324 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0892WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 3.0568 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0818WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 3.3678 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4409WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 3.1882 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7293WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 2.9923 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2718WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 2.9550 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1905WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 2.9685 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8339WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 2.8961 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5211WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 2.6222 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7075WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 2.8311 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1126WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 2.6824 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3827WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 2.7674 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8607WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 2.5641 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8517WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 2.3798 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9165WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 2.2940 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3021WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 2.3377 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4640WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 2.4659 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9713WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 2.2773 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2139WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 2.2153 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2419WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 2.2794 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9479WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 2.1141 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7401WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 2.1355 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7368WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 2.2113 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6508WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 2.0794 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2318WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 2.0692 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8968WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.9722 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7587WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 2.1304 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5154WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 2.0428 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8829WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.9234 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5568WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.9865 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1829WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.9598 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5895WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.7125 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9978WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.7356 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0609WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.8472 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7333WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 2.0730 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2176WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.7963 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7395WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.7764 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8190WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.6510 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5006WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 2.0343 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4559WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.9647 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0416WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.9569 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9053WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.8318 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8220WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.6334 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3106WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.6749 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5111WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.6085 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6261WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.6521 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0948WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.7478 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3394WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.6479 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5255WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.4932 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3185WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.9098 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6928WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.6988 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0648WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.8014 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4164WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.6424 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1639WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.4300 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6089WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.7493 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9717WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.5679 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1810WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.6972 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4837WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.5348 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5186WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.4048 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2854WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.3706 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2648WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.4676 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5989WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.7220 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3468WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.4017 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7662WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.4151 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4980WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.4582 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2180WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.4749 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1429WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.3909 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4105WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.7291 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6227WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.4115 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7038WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.3073 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4976WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.4341 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5045WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.4118 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8235WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.3070 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5115WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.6138 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3050WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.3420 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5481WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.3690 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4228WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.4050 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1425WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.3372 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2797WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.3508 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2386WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.4198 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1087WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.2871 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3056WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.2429 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6290WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.3293 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5096WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.2812 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5226WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.3546 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4670WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.4098 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5710WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.3541 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6171WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.2224 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1312WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.3936 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8865WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.2440 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3526WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.2977 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4848WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.3025 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4371WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.2898 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0223WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.2532 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3489WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.2704 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9952WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.2112 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4420WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.4165 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9746WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.3228 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9655WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.3521 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5138WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.3851 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9548WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.0867 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9478WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.4877 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2926WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.3283 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2407WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.2307 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1126WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.2186 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1631WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.3146 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2419WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.2065 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4076WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.2069 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3254WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.2458 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6110WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.2944 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2352WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.2029 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3882WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.3243 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0935WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.1446 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6660WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.4624 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3471WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.2883 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2038WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.4514 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1037WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.1893 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2831WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.2457 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4695WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.2831 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5859WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.3336 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1971WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.2693 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1734WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.3753 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2132WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.4450 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2820WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.3193 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4731WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.2318 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1624WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.4150 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1538WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.4058 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2701WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.4044 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2982WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.2690 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3389WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.2013 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2945WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.2147 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8523WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.1258 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5005WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.1662 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4258WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.1254 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1325WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.4837 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0441WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.2338 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2685WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.3138 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4301WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.3610 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2341WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.2440 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9986WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.2666 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3541WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.1964 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4840WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.2535 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2575WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.2314 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7648WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.2102 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2804WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.2279 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0544WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.2650 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3019WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.1096 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3523WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.2646 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1902WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.2397 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8448WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.1336 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5055WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.3294 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 0.7481WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.1623 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1463WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.3362 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2599WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.2798 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3620WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.3089 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3036WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.2958 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0857WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.2008 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7512WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.3696 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1146WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.5246 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0721WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.2925 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3585WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.1781 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8908WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.4224 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9968WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.1746 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9434WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.2392 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5365WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.1822 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1816WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.2243 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9815WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.1195 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1381WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.1524 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2415WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.1675 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5919WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.3145 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4372WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.2428 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3759WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.3559 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4640WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.2261 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3667WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.3877 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1529WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.2337 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3254WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.2490 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3260WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.3387 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1924WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.2301 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4937WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.3076 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2031WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.2953 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5401WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.1944 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7659WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.3820 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5867WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.1599 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9644WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.2177 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2409WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 12ms/step - loss: 1.2548 - lr: 4.5400e-09
{'n_layers': 1, 'filter_unit0': 256, 'kernel_size0': 4, 'pool_size0': 5, 'stride_size0': 5, 'dropout0': 0.4}
1/39 [..............................] - ETA: 4s
15/39 [==========>...................] - ETA: 0s
29/39 [=====================>........] - ETA: 0s
39/39 [==============================] - ETA: 0s
39/39 [==============================] - 0s 4ms/step
WARNING:tensorflow:Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.13
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.13
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.14
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.14
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.15
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.15
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.16
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.16
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.17
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.17
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.18
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.18
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.19
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.19
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.20
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.20
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.21
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.21
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.22
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.22
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.23
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.23
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.24
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.24
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.25
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.25
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.26
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.26
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.27
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.27
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.28
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.28
adding new entry
subject config_id mdl_str ... r2 pearsonr_coeff pearsonr_pval
0 Pilot02 0 linreg ... -9.864563 0.038776 0.364940
1 Pilot02 0 linreg ... -11.875765 0.070097 0.101171
2 Pilot02 0 linreg ... -11.069278 0.047023 0.271822
3 Pilot02 0 linreg ... -25.345517 0.016892 0.693177
4 Pilot02 0 linreg ... -15.299470 0.118749 0.005380
.. ... ... ... ... ... ... ...
445 Pilot02 1 cnn1d ... -8.049662 -0.076824 0.006666
446 Pilot03 1 cnn1d ... -0.682358 -0.037554 0.240661
447 Pilot02 1 cnn1d ... -14.593487 -0.008966 0.751862
448 Pilot03 1 cnn1d ... -1.735451 -0.096830 0.002434
449 Pilot02 1 cnn1d ... -6.520777 -0.051417 0.069624
[450 rows x 18 columns]
imu-bvp_rr_Pilot02_id1_combi5.0-7.0-10.0-15.0-17.0
train
(35921, 11)
test
(364536, 10)
---CNN1D---
input shape: (1440, 7)
x shape: (115, 1440, 7)
Search: Running Trial #1
Value |Best Value So Far |Hyperparameter
4 |4 |n_layers
256 |256 |filter_unit0
32 |32 |filter_unit1
64 |64 |filter_unit2
256 |256 |filter_unit3
4 |4 |kernel_size0
4 |4 |kernel_size1
4 |4 |kernel_size2
3 |3 |kernel_size3
4 |4 |pool_size0
4 |4 |pool_size1
5 |5 |pool_size2
4 |4 |pool_size3
4 |4 |stride_size0
4 |4 |stride_size1
3 |3 |stride_size2
1 |1 |stride_size3
0.1 |0.1 |dropout0
0.4 |0.4 |dropout1
0 |0 |dropout2
0 |0 |dropout3
[2K
[2K
Trial 1 Complete [00h 00m 05s]
val_loss: 16.378541946411133
Best val_loss So Far: 16.378541946411133
Total elapsed time: 00h 00m 05s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
2 |4 |n_layers
128 |256 |filter_unit0
128 |32 |filter_unit1
2 |4 |kernel_size0
2 |4 |kernel_size1
5 |4 |pool_size0
2 |4 |pool_size1
1 |4 |stride_size0
4 |4 |stride_size1
0.2 |0.1 |dropout0
0 |0.4 |dropout1
[2K
[2K
Trial 2 Complete [00h 00m 03s]
val_loss: 16.46074867248535
Best val_loss So Far: 16.378541946411133
Total elapsed time: 00h 00m 08s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
4 |4 |n_layers
256 |256 |filter_unit0
32 |32 |filter_unit1
64 |64 |filter_unit2
64 |256 |filter_unit3
3 |4 |kernel_size0
3 |4 |kernel_size1
3 |4 |kernel_size2
2 |3 |kernel_size3
5 |4 |pool_size0
5 |4 |pool_size1
1 |5 |pool_size2
4 |4 |pool_size3
5 |4 |stride_size0
4 |4 |stride_size1
5 |3 |stride_size2
3 |1 |stride_size3
0.3 |0.1 |dropout0
0.2 |0.4 |dropout1
0.4 |0 |dropout2
0.3 |0 |dropout3
[2K
[2K
Trial 3 Complete [00h 00m 05s]
val_loss: 17.050376892089844
Best val_loss So Far: 16.378541946411133
Total elapsed time: 00h 00m 13s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
1 |4 |n_layers
256 |256 |filter_unit0
4 |4 |kernel_size0
1 |4 |pool_size0
5 |4 |stride_size0
0.2 |0.1 |dropout0
[2K
[2K
Trial 4 Complete [00h 00m 03s]
val_loss: 16.311494827270508
Best val_loss So Far: 16.311494827270508
Total elapsed time: 00h 00m 16s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
32 |256 |filter_unit0
256 |None |filter_unit1
2 |4 |kernel_size0
4 |None |kernel_size1
5 |1 |pool_size0
5 |None |pool_size1
4 |5 |stride_size0
2 |None |stride_size1
0 |0.2 |dropout0
0.2 |None |dropout1
[2K
[2K
Trial 5 Complete [00h 00m 03s]
val_loss: 17.593154907226562
Best val_loss So Far: 16.311494827270508
Total elapsed time: 00h 00m 19s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
32 |256 |filter_unit0
128 |None |filter_unit1
1 |4 |kernel_size0
1 |None |kernel_size1
5 |1 |pool_size0
3 |None |pool_size1
2 |5 |stride_size0
2 |None |stride_size1
0.2 |0.2 |dropout0
0.1 |None |dropout1
[2K
[2K
Trial 6 Complete [00h 00m 03s]
val_loss: 16.844663619995117
Best val_loss So Far: 16.311494827270508
Total elapsed time: 00h 00m 22s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
128 |256 |filter_unit0
128 |None |filter_unit1
2 |4 |kernel_size0
3 |None |kernel_size1
1 |1 |pool_size0
1 |None |pool_size1
3 |5 |stride_size0
5 |None |stride_size1
0 |0.2 |dropout0
0.4 |None |dropout1
[2K
[2K
Trial 7 Complete [00h 00m 03s]
val_loss: 16.580289840698242
Best val_loss So Far: 16.311494827270508
Total elapsed time: 00h 00m 25s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
256 |256 |filter_unit0
128 |None |filter_unit1
128 |None |filter_unit2
256 |None |filter_unit3
5 |4 |kernel_size0
4 |None |kernel_size1
3 |None |kernel_size2
3 |None |kernel_size3
5 |1 |pool_size0
4 |None |pool_size1
2 |None |pool_size2
1 |None |pool_size3
2 |5 |stride_size0
2 |None |stride_size1
2 |None |stride_size2
4 |None |stride_size3
0.1 |0.2 |dropout0
0.2 |None |dropout1
0 |None |dropout2
0.4 |None |dropout3
[2K
[2K
Trial 8 Complete [00h 00m 05s]
val_loss: 16.400238037109375
Best val_loss So Far: 16.311494827270508
Total elapsed time: 00h 00m 31s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
128 |256 |filter_unit0
128 |None |filter_unit1
32 |None |filter_unit2
5 |4 |kernel_size0
5 |None |kernel_size1
1 |None |kernel_size2
5 |1 |pool_size0
5 |None |pool_size1
5 |None |pool_size2
2 |5 |stride_size0
4 |None |stride_size1
4 |None |stride_size2
0 |0.2 |dropout0
0.2 |None |dropout1
0.2 |None |dropout2
[2K
[2K
Trial 9 Complete [00h 00m 04s]
val_loss: 17.891178131103516
Best val_loss So Far: 16.311494827270508
Total elapsed time: 00h 00m 35s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
32 |256 |filter_unit0
64 |None |filter_unit1
32 |None |filter_unit2
4 |4 |kernel_size0
3 |None |kernel_size1
5 |None |kernel_size2
3 |1 |pool_size0
2 |None |pool_size1
2 |None |pool_size2
1 |5 |stride_size0
1 |None |stride_size1
3 |None |stride_size2
0 |0.2 |dropout0
0.2 |None |dropout1
0.4 |None |dropout2
[2K
[2K
Trial 10 Complete [00h 00m 04s]
val_loss: 16.66050910949707
Best val_loss So Far: 16.311494827270508
Total elapsed time: 00h 00m 39s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
64 |256 |filter_unit0
5 |4 |kernel_size0
3 |1 |pool_size0
1 |5 |stride_size0
0 |0.2 |dropout0
[2K
[2K
Trial 11 Complete [00h 00m 03s]
val_loss: 16.16145896911621
Best val_loss So Far: 16.16145896911621
Total elapsed time: 00h 00m 42s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
32 |64 |filter_unit0
64 |None |filter_unit1
128 |None |filter_unit2
128 |None |filter_unit3
256 |None |filter_unit4
3 |5 |kernel_size0
4 |None |kernel_size1
1 |None |kernel_size2
4 |None |kernel_size3
4 |None |kernel_size4
2 |3 |pool_size0
5 |None |pool_size1
5 |None |pool_size2
1 |None |pool_size3
1 |None |pool_size4
4 |1 |stride_size0
5 |None |stride_size1
2 |None |stride_size2
4 |None |stride_size3
3 |None |stride_size4
0.2 |0 |dropout0
0 |None |dropout1
0.2 |None |dropout2
0 |None |dropout3
0.1 |None |dropout4
[2K
[2K
Trial 12 Complete [00h 00m 05s]
val_loss: 16.402080535888672
Best val_loss So Far: 16.16145896911621
Total elapsed time: 00h 00m 47s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
64 |64 |filter_unit0
2 |5 |kernel_size0
4 |3 |pool_size0
5 |1 |stride_size0
0.1 |0 |dropout0
[2K
[2K
Trial 13 Complete [00h 00m 02s]
val_loss: 17.526134490966797
Best val_loss So Far: 16.16145896911621
Total elapsed time: 00h 00m 49s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
32 |64 |filter_unit0
64 |None |filter_unit1
256 |None |filter_unit2
5 |5 |kernel_size0
1 |None |kernel_size1
5 |None |kernel_size2
3 |3 |pool_size0
2 |None |pool_size1
5 |None |pool_size2
1 |1 |stride_size0
1 |None |stride_size1
2 |None |stride_size2
0.2 |0 |dropout0
0.3 |None |dropout1
0.4 |None |dropout2
[2K
[2K
Trial 14 Complete [00h 00m 04s]
val_loss: 16.67003059387207
Best val_loss So Far: 16.16145896911621
Total elapsed time: 00h 00m 53s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
256 |64 |filter_unit0
64 |None |filter_unit1
64 |None |filter_unit2
128 |None |filter_unit3
256 |None |filter_unit4
1 |5 |kernel_size0
5 |None |kernel_size1
1 |None |kernel_size2
4 |None |kernel_size3
2 |None |kernel_size4
4 |3 |pool_size0
1 |None |pool_size1
2 |None |pool_size2
5 |None |pool_size3
1 |None |pool_size4
5 |1 |stride_size0
3 |None |stride_size1
4 |None |stride_size2
2 |None |stride_size3
2 |None |stride_size4
0.2 |0 |dropout0
0.1 |None |dropout1
0 |None |dropout2
0 |None |dropout3
0 |None |dropout4
[2K
[2K
Trial 15 Complete [00h 00m 05s]
val_loss: 16.77826499938965
Best val_loss So Far: 16.16145896911621
Total elapsed time: 00h 00m 59s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
64 |64 |filter_unit0
64 |None |filter_unit1
4 |5 |kernel_size0
4 |None |kernel_size1
5 |3 |pool_size0
2 |None |pool_size1
1 |1 |stride_size0
4 |None |stride_size1
0 |0 |dropout0
0 |None |dropout1
[2K
[2K
Trial 16 Complete [00h 00m 03s]
val_loss: 18.569313049316406
Best val_loss So Far: 16.16145896911621
Total elapsed time: 00h 01m 02s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
256 |64 |filter_unit0
64 |None |filter_unit1
64 |None |filter_unit2
32 |None |filter_unit3
64 |None |filter_unit4
1 |5 |kernel_size0
1 |None |kernel_size1
4 |None |kernel_size2
4 |None |kernel_size3
5 |None |kernel_size4
1 |3 |pool_size0
3 |None |pool_size1
1 |None |pool_size2
5 |None |pool_size3
4 |None |pool_size4
4 |1 |stride_size0
5 |None |stride_size1
3 |None |stride_size2
3 |None |stride_size3
4 |None |stride_size4
0.3 |0 |dropout0
0.3 |None |dropout1
0.2 |None |dropout2
0.2 |None |dropout3
0.3 |None |dropout4
[2K
[2K
Trial 17 Complete [00h 00m 05s]
val_loss: 16.88323211669922
Best val_loss So Far: 16.16145896911621
Total elapsed time: 00h 01m 07s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
64 |64 |filter_unit0
256 |None |filter_unit1
256 |None |filter_unit2
128 |None |filter_unit3
3 |5 |kernel_size0
5 |None |kernel_size1
1 |None |kernel_size2
5 |None |kernel_size3
2 |3 |pool_size0
4 |None |pool_size1
2 |None |pool_size2
5 |None |pool_size3
4 |1 |stride_size0
1 |None |stride_size1
4 |None |stride_size2
4 |None |stride_size3
0.3 |0 |dropout0
0 |None |dropout1
0.3 |None |dropout2
0.2 |None |dropout3
[2K
[2K
Trial 18 Complete [00h 00m 05s]
val_loss: 16.479677200317383
Best val_loss So Far: 16.16145896911621
Total elapsed time: 00h 01m 12s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
128 |64 |filter_unit0
256 |None |filter_unit1
256 |None |filter_unit2
32 |None |filter_unit3
2 |5 |kernel_size0
4 |None |kernel_size1
4 |None |kernel_size2
2 |None |kernel_size3
1 |3 |pool_size0
1 |None |pool_size1
1 |None |pool_size2
3 |None |pool_size3
3 |1 |stride_size0
3 |None |stride_size1
5 |None |stride_size2
4 |None |stride_size3
0 |0 |dropout0
0.3 |None |dropout1
0 |None |dropout2
0 |None |dropout3
[2K
[2K
Trial 19 Complete [00h 00m 04s]
val_loss: 16.635391235351562
Best val_loss So Far: 16.16145896911621
Total elapsed time: 00h 01m 17s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
64 |64 |filter_unit0
256 |None |filter_unit1
64 |None |filter_unit2
256 |None |filter_unit3
5 |5 |kernel_size0
1 |None |kernel_size1
1 |None |kernel_size2
5 |None |kernel_size3
4 |3 |pool_size0
2 |None |pool_size1
1 |None |pool_size2
2 |None |pool_size3
2 |1 |stride_size0
1 |None |stride_size1
3 |None |stride_size2
1 |None |stride_size3
0 |0 |dropout0
0.2 |None |dropout1
0.2 |None |dropout2
0.3 |None |dropout3
[2K
[2K
Trial 20 Complete [00h 00m 05s]
val_loss: 17.065942764282227
Best val_loss So Far: 16.16145896911621
Total elapsed time: 00h 01m 21s
{'n_layers': 1, 'filter_unit0': 64, 'kernel_size0': 5, 'pool_size0': 3, 'stride_size0': 1, 'dropout0': 0.0}
Epoch 1/200
1/4 [======>.......................] - ETA: 2s - loss: 13.6243WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 1s 13ms/step - loss: 12.4125 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 11.1474WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 12.0371 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 11.0217WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 11.6723 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 10.0317WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 11.2940 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 9.7248WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 10.9143 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 11.3193WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 10.5537 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 10.8246WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 10.1691 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 9.8784WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 9.7909 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 9.5655WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 9.4188 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 9.6351WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 9.0371 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 9.5400WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 8.6527 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 8.7042WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 8.2742 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 7.8983WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.9025 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 7.7376WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.5748 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 7.8491WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.1970 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 6.9780WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 6.9056 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 7.1074WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 6.6269 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 5.7595WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 6.3269 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 7.3671WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 6.0918 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 6.0990WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.8871 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 5.9276WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.7239 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0854WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.5333 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0991WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.3330 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4926WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.1930 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1144WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.0347 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 5.7945WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.0107 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7907WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.8369 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7569WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.6847 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6195WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.6229 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0674WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.5907 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8883WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.5367 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5013WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.4821 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2546WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.3936 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2755WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.3511 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7044WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.3259 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2380WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2728 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6992WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2161 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7394WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1897 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3530WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.1423 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0064WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1038 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6993WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.0334 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3502WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.0163 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5505WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.0537 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1105WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.8839 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1993WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.8496 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2243WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.8879 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4066WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.8204 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3726WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.8113 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1701WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.7707 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1790WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.6954 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1124WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.7005 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5047WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.7155 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5995WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.6088 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6668WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.5986 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6038WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.6221 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7642WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.5039 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7127WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.5112 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0609WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.4718 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8646WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.4257 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7934WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.4022 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2073WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.4064 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5476WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.3404 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3440WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.3107 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4869WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.2802 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4203WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.2967 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9849WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.2391 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8152WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.2137 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2437WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.2435 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9232WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.1688 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4008WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.1829 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0776WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.1131 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9041WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0926 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0609WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0829 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3567WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0202 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9388WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0253 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7782WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0234 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5086WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9738 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9402WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9503 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7577WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9356 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8723WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9129 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0718WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9398 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9073WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9902 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3780WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.8849 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0247WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.8834 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3297WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.7982 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7666WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.7795 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1243WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.8334 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0765WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.7310 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5630WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.7586 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6851WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.6960 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1231WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.6976 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0218WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.6520 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4672WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.7228 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4283WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.6428 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7765WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.6051 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0891WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5899 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4533WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.5576 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5776WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.5913 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6280WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.5061 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3414WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.6112 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5565WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.5617 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0893WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.5157 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0515WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4897 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2017WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4533 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3179WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4494 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4315WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4263 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4478WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4609 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2695WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4572 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6937WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4234 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6631WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4554 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5800WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4419 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0591WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4451 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0805WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4813 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0444WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3842 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0615WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3610 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9141WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3873 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3247WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3858 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3567WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3788 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0932WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3542 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9506WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3651 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6264WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4137 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8420WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4178 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0490WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3312 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8887WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4326 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6146WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4849 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7112WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4608 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3709WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3500 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5695WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3708 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6601WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3359 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3356WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4254 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7459WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3992 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7176WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3667 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6891WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4025 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1147WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3633 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3478WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3265 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0093WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4000 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7945WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3038 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6055WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3630 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7516WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4329 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2752WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3751 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0888WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3659 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7168WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3639 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4267WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3478 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8448WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3107 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7359WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3485 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3115WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3221 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7908WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4205 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4557WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3230 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8203WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3735 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6001WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3749 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9302WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3543 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1190WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3693 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0063WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3651 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5320WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3153 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7277WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3805 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4567WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3297 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3243WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3103 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7278WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3153 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9110WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3699 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9340WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3804 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5612WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3110 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2843WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4049 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7332WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3509 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7726WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3395 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0780WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3647 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3624WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.5423 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1537WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4010 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5851WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4057 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9205WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3548 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5421WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3834 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0075WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3508 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8666WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3118 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6602WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4464 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1396WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3715 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2280WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3088 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9803WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3654 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5119WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3974 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2638WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4124 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7390WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3534 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0003WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3222 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8802WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3367 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2208WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3465 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0096WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3856 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6920WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3845 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1212WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3535 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0319WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3345 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9262WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.2883 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1216WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3923 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7586WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3169 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6905WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4332 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8795WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3712 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4437WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3472 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2750WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3421 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9264WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4422 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3184WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4162 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5683WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3483 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5899WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3540 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4757WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.3273 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6518WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4763 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8309WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.4018 - lr: 4.5400e-09
{'n_layers': 1, 'filter_unit0': 64, 'kernel_size0': 5, 'pool_size0': 3, 'stride_size0': 1, 'dropout0': 0.0}
1/39 [..............................] - ETA: 4s
28/39 [====================>.........] - ETA: 0s
39/39 [==============================] - 0s 2ms/step
WARNING:tensorflow:Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
adding new entry
subject config_id mdl_str ... r2 pearsonr_coeff pearsonr_pval
0 Pilot02 0 linreg ... -9.864563 0.038776 0.364940
1 Pilot02 0 linreg ... -11.875765 0.070097 0.101171
2 Pilot02 0 linreg ... -11.069278 0.047023 0.271822
3 Pilot02 0 linreg ... -25.345517 0.016892 0.693177
4 Pilot02 0 linreg ... -15.299470 0.118749 0.005380
.. ... ... ... ... ... ... ...
447 Pilot02 1 cnn1d ... -14.593487 -0.008966 0.751862
448 Pilot03 1 cnn1d ... -1.735451 -0.096830 0.002434
449 Pilot02 1 cnn1d ... -6.520777 -0.051417 0.069624
450 Pilot03 1 cnn1d ... -0.781686 -0.122732 0.000119
451 Pilot02 1 cnn1d ... -4.034575 -0.062910 0.026377
[452 rows x 18 columns]
imu-bvp_rr_Pilot02_id1_combi5.0-7.0-10.0-15.0-20.0
train
(35921, 11)
test
(364536, 10)
---CNN1D---
input shape: (1440, 7)
x shape: (110, 1440, 7)
Search: Running Trial #1
Value |Best Value So Far |Hyperparameter
2 |2 |n_layers
64 |64 |filter_unit0
64 |64 |filter_unit1
1 |1 |kernel_size0
4 |4 |kernel_size1
3 |3 |pool_size0
1 |1 |pool_size1
2 |2 |stride_size0
3 |3 |stride_size1
0.4 |0.4 |dropout0
0.2 |0.2 |dropout1
[2K
[2K
Trial 1 Complete [00h 00m 03s]
val_loss: 18.916723251342773
Best val_loss So Far: 18.916723251342773
Total elapsed time: 00h 00m 03s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
4 |2 |n_layers
256 |64 |filter_unit0
256 |64 |filter_unit1
64 |None |filter_unit2
128 |None |filter_unit3
4 |1 |kernel_size0
5 |4 |kernel_size1
5 |None |kernel_size2
2 |None |kernel_size3
1 |3 |pool_size0
4 |1 |pool_size1
5 |None |pool_size2
3 |None |pool_size3
5 |2 |stride_size0
3 |3 |stride_size1
4 |None |stride_size2
4 |None |stride_size3
0.4 |0.4 |dropout0
0.3 |0.2 |dropout1
0.4 |None |dropout2
0.4 |None |dropout3
[2K
[2K
Trial 2 Complete [00h 00m 06s]
val_loss: 19.094463348388672
Best val_loss So Far: 18.916723251342773
Total elapsed time: 00h 00m 09s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
5 |2 |n_layers
32 |64 |filter_unit0
64 |64 |filter_unit1
128 |None |filter_unit2
32 |None |filter_unit3
256 |None |filter_unit4
2 |1 |kernel_size0
5 |4 |kernel_size1
5 |None |kernel_size2
4 |None |kernel_size3
5 |None |kernel_size4
4 |3 |pool_size0
5 |1 |pool_size1
1 |None |pool_size2
4 |None |pool_size3
3 |None |pool_size4
3 |2 |stride_size0
3 |3 |stride_size1
2 |None |stride_size2
4 |None |stride_size3
3 |None |stride_size4
0.1 |0.4 |dropout0
0.2 |0.2 |dropout1
0 |None |dropout2
0.2 |None |dropout3
0.2 |None |dropout4
[2K
[2K
Trial 3 Complete [00h 00m 05s]
val_loss: 19.504850387573242
Best val_loss So Far: 18.916723251342773
Total elapsed time: 00h 00m 14s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
2 |2 |n_layers
256 |64 |filter_unit0
256 |64 |filter_unit1
5 |1 |kernel_size0
1 |4 |kernel_size1
4 |3 |pool_size0
1 |1 |pool_size1
4 |2 |stride_size0
5 |3 |stride_size1
0.4 |0.4 |dropout0
0.3 |0.2 |dropout1
[2K
[2K
Trial 4 Complete [00h 00m 04s]
val_loss: 19.69855499267578
Best val_loss So Far: 18.916723251342773
Total elapsed time: 00h 00m 17s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
2 |2 |n_layers
32 |64 |filter_unit0
256 |64 |filter_unit1
4 |1 |kernel_size0
3 |4 |kernel_size1
2 |3 |pool_size0
5 |1 |pool_size1
2 |2 |stride_size0
5 |3 |stride_size1
0.1 |0.4 |dropout0
0 |0.2 |dropout1
[2K
[2K
Trial 5 Complete [00h 00m 03s]
val_loss: 18.327392578125
Best val_loss So Far: 18.327392578125
Total elapsed time: 00h 00m 21s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
4 |2 |n_layers
256 |32 |filter_unit0
32 |256 |filter_unit1
128 |None |filter_unit2
128 |None |filter_unit3
4 |4 |kernel_size0
1 |3 |kernel_size1
5 |None |kernel_size2
5 |None |kernel_size3
2 |2 |pool_size0
2 |5 |pool_size1
1 |None |pool_size2
3 |None |pool_size3
1 |2 |stride_size0
1 |5 |stride_size1
4 |None |stride_size2
5 |None |stride_size3
0.4 |0.1 |dropout0
0.1 |0 |dropout1
0.1 |None |dropout2
0.2 |None |dropout3
[2K
[2K
Trial 6 Complete [00h 00m 05s]
val_loss: 19.388545989990234
Best val_loss So Far: 18.327392578125
Total elapsed time: 00h 00m 26s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
4 |2 |n_layers
64 |32 |filter_unit0
64 |256 |filter_unit1
128 |None |filter_unit2
64 |None |filter_unit3
3 |4 |kernel_size0
2 |3 |kernel_size1
2 |None |kernel_size2
2 |None |kernel_size3
3 |2 |pool_size0
1 |5 |pool_size1
3 |None |pool_size2
3 |None |pool_size3
5 |2 |stride_size0
4 |5 |stride_size1
4 |None |stride_size2
3 |None |stride_size3
0.3 |0.1 |dropout0
0.3 |0 |dropout1
0.1 |None |dropout2
0.3 |None |dropout3
[2K
[2K
Trial 7 Complete [00h 00m 05s]
val_loss: 19.369213104248047
Best val_loss So Far: 18.327392578125
Total elapsed time: 00h 00m 31s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
1 |2 |n_layers
256 |32 |filter_unit0
5 |4 |kernel_size0
2 |2 |pool_size0
5 |2 |stride_size0
0 |0.1 |dropout0
[2K
[2K
Trial 8 Complete [00h 00m 03s]
val_loss: 19.03055191040039
Best val_loss So Far: 18.327392578125
Total elapsed time: 00h 00m 34s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
2 |2 |n_layers
64 |32 |filter_unit0
32 |256 |filter_unit1
2 |4 |kernel_size0
5 |3 |kernel_size1
5 |2 |pool_size0
1 |5 |pool_size1
2 |2 |stride_size0
2 |5 |stride_size1
0.4 |0.1 |dropout0
0.1 |0 |dropout1
[2K
[2K
Trial 9 Complete [00h 00m 03s]
val_loss: 18.446605682373047
Best val_loss So Far: 18.327392578125
Total elapsed time: 00h 00m 37s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
5 |2 |n_layers
64 |32 |filter_unit0
32 |256 |filter_unit1
128 |None |filter_unit2
256 |None |filter_unit3
32 |None |filter_unit4
3 |4 |kernel_size0
3 |3 |kernel_size1
4 |None |kernel_size2
4 |None |kernel_size3
2 |None |kernel_size4
1 |2 |pool_size0
4 |5 |pool_size1
1 |None |pool_size2
3 |None |pool_size3
4 |None |pool_size4
4 |2 |stride_size0
2 |5 |stride_size1
1 |None |stride_size2
2 |None |stride_size3
3 |None |stride_size4
0.1 |0.1 |dropout0
0.4 |0 |dropout1
0 |None |dropout2
0.2 |None |dropout3
0.1 |None |dropout4
[2K
[2K
Trial 10 Complete [00h 00m 05s]
val_loss: 19.30655860900879
Best val_loss So Far: 18.327392578125
Total elapsed time: 00h 00m 42s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
5 |2 |n_layers
64 |32 |filter_unit0
256 |256 |filter_unit1
32 |None |filter_unit2
128 |None |filter_unit3
64 |None |filter_unit4
2 |4 |kernel_size0
1 |3 |kernel_size1
5 |None |kernel_size2
1 |None |kernel_size3
3 |None |kernel_size4
3 |2 |pool_size0
3 |5 |pool_size1
5 |None |pool_size2
3 |None |pool_size3
1 |None |pool_size4
5 |2 |stride_size0
1 |5 |stride_size1
5 |None |stride_size2
3 |None |stride_size3
4 |None |stride_size4
0 |0.1 |dropout0
0.4 |0 |dropout1
0.1 |None |dropout2
0.3 |None |dropout3
0.1 |None |dropout4
[2K
[2K
Trial 11 Complete [00h 00m 06s]
val_loss: 19.491107940673828
Best val_loss So Far: 18.327392578125
Total elapsed time: 00h 00m 47s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
5 |2 |n_layers
64 |32 |filter_unit0
64 |256 |filter_unit1
128 |None |filter_unit2
256 |None |filter_unit3
32 |None |filter_unit4
3 |4 |kernel_size0
1 |3 |kernel_size1
3 |None |kernel_size2
4 |None |kernel_size3
2 |None |kernel_size4
3 |2 |pool_size0
5 |5 |pool_size1
5 |None |pool_size2
1 |None |pool_size3
2 |None |pool_size4
1 |2 |stride_size0
1 |5 |stride_size1
1 |None |stride_size2
3 |None |stride_size3
5 |None |stride_size4
0.4 |0.1 |dropout0
0.4 |0 |dropout1
0.4 |None |dropout2
0.1 |None |dropout3
0 |None |dropout4
[2K
[2K
Trial 12 Complete [00h 00m 06s]
val_loss: 19.537185668945312
Best val_loss So Far: 18.327392578125
Total elapsed time: 00h 00m 53s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
1 |2 |n_layers
64 |32 |filter_unit0
1 |4 |kernel_size0
4 |2 |pool_size0
4 |2 |stride_size0
0 |0.1 |dropout0
[2K
[2K
Trial 13 Complete [00h 00m 03s]
val_loss: 17.858694076538086
Best val_loss So Far: 17.858694076538086
Total elapsed time: 00h 00m 56s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
64 |64 |filter_unit0
256 |None |filter_unit1
4 |1 |kernel_size0
4 |None |kernel_size1
3 |4 |pool_size0
3 |None |pool_size1
5 |4 |stride_size0
1 |None |stride_size1
0.2 |0 |dropout0
0 |None |dropout1
[2K
[2K
Trial 14 Complete [00h 00m 03s]
val_loss: 19.70598030090332
Best val_loss So Far: 17.858694076538086
Total elapsed time: 00h 00m 59s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
256 |64 |filter_unit0
64 |None |filter_unit1
32 |None |filter_unit2
128 |None |filter_unit3
128 |None |filter_unit4
4 |1 |kernel_size0
2 |None |kernel_size1
5 |None |kernel_size2
4 |None |kernel_size3
2 |None |kernel_size4
4 |4 |pool_size0
3 |None |pool_size1
4 |None |pool_size2
2 |None |pool_size3
4 |None |pool_size4
5 |4 |stride_size0
2 |None |stride_size1
4 |None |stride_size2
5 |None |stride_size3
2 |None |stride_size4
0.4 |0 |dropout0
0.3 |None |dropout1
0.4 |None |dropout2
0.4 |None |dropout3
0.2 |None |dropout4
[2K
[2K
Trial 15 Complete [00h 00m 06s]
val_loss: 19.194135665893555
Best val_loss So Far: 17.858694076538086
Total elapsed time: 00h 01m 05s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
128 |64 |filter_unit0
3 |1 |kernel_size0
2 |4 |pool_size0
5 |4 |stride_size0
0.3 |0 |dropout0
[2K
[2K
Trial 16 Complete [00h 00m 03s]
val_loss: 20.420381546020508
Best val_loss So Far: 17.858694076538086
Total elapsed time: 00h 01m 08s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
32 |64 |filter_unit0
64 |None |filter_unit1
256 |None |filter_unit2
128 |None |filter_unit3
128 |None |filter_unit4
1 |1 |kernel_size0
5 |None |kernel_size1
5 |None |kernel_size2
1 |None |kernel_size3
2 |None |kernel_size4
1 |4 |pool_size0
2 |None |pool_size1
3 |None |pool_size2
4 |None |pool_size3
1 |None |pool_size4
4 |4 |stride_size0
1 |None |stride_size1
1 |None |stride_size2
4 |None |stride_size3
5 |None |stride_size4
0.1 |0 |dropout0
0.1 |None |dropout1
0.2 |None |dropout2
0 |None |dropout3
0.2 |None |dropout4
[2K
[2K
Trial 17 Complete [00h 00m 05s]
val_loss: 19.199871063232422
Best val_loss So Far: 17.858694076538086
Total elapsed time: 00h 01m 13s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
256 |64 |filter_unit0
128 |None |filter_unit1
64 |None |filter_unit2
32 |None |filter_unit3
64 |None |filter_unit4
1 |1 |kernel_size0
4 |None |kernel_size1
3 |None |kernel_size2
3 |None |kernel_size3
2 |None |kernel_size4
2 |4 |pool_size0
1 |None |pool_size1
3 |None |pool_size2
3 |None |pool_size3
4 |None |pool_size4
1 |4 |stride_size0
5 |None |stride_size1
2 |None |stride_size2
5 |None |stride_size3
2 |None |stride_size4
0.3 |0 |dropout0
0.2 |None |dropout1
0.4 |None |dropout2
0.2 |None |dropout3
0.1 |None |dropout4
[2K
[2K
Trial 18 Complete [00h 00m 06s]
val_loss: 19.445093154907227
Best val_loss So Far: 17.858694076538086
Total elapsed time: 00h 01m 18s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
256 |64 |filter_unit0
32 |None |filter_unit1
128 |None |filter_unit2
1 |1 |kernel_size0
2 |None |kernel_size1
4 |None |kernel_size2
5 |4 |pool_size0
4 |None |pool_size1
3 |None |pool_size2
5 |4 |stride_size0
5 |None |stride_size1
2 |None |stride_size2
0.1 |0 |dropout0
0.3 |None |dropout1
0.4 |None |dropout2
[2K
[2K
Trial 19 Complete [00h 00m 04s]
val_loss: 19.496706008911133
Best val_loss So Far: 17.858694076538086
Total elapsed time: 00h 01m 23s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
256 |64 |filter_unit0
5 |1 |kernel_size0
5 |4 |pool_size0
2 |4 |stride_size0
0.3 |0 |dropout0
[2K
[2K
Trial 20 Complete [00h 00m 03s]
val_loss: 19.478425979614258
Best val_loss So Far: 17.858694076538086
Total elapsed time: 00h 01m 26s
{'n_layers': 1, 'filter_unit0': 64, 'kernel_size0': 1, 'pool_size0': 4, 'stride_size0': 4, 'dropout0': 0.0}
Epoch 1/200
1/4 [======>.......................] - ETA: 2s - loss: 13.8786WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 1s 12ms/step - loss: 13.3778 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 14.1620WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 13.2253 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 12.9106WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 13.0821 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 11.9807WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 12.9302 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 13.7683WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 12.7818 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 12.9882WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 12.6256 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 13.7052WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 12.4828 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 12.3414WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 12.3228 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 12.1468WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 12.1774 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 11.6368WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 12.0300 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 12.3059WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 11.8770 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 11.8775WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 11.7292 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 12.1837WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 11.5761 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 11.1382WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 11.4324 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 11.1949WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 11.2700 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 9.9434WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 11.1233 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 10.9876WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 10.9773 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 11.0584WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 10.8263 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 10.8005WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 10.6704 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 10.2826WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 10.5155 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 12.1432WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 10.3778 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 9.7512WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 10.2324 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 9.7882WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 10.0695 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 8.9784WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 9.9240 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 8.5452WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 9.7871 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 8.7642WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 9.6244 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 11.1401WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 9.4743 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 10.4334WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 9.3279 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 7.8069WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 9.1877 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 8.5380WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 9.0242 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 10.0333WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 8.8800 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 8.9798WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 8.7393 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 9.5925WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 8.6012 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 7.7076WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 8.4655 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 8.8599WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 8.3240 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 7.1045WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 8.1878 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 7.3305WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 8.0628 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 8.0078WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.9166 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 7.5308WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.7950 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 8.0412WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.6893 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 7.7240WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.5690 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 7.5782WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.4166 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 7.5036WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.3347 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 7.3383WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.2224 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 6.8582WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.1238 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 6.4704WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.0144 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 7.8335WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 6.8981 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 6.5520WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 6.7953 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 7.7604WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 6.6702 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 6.7374WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 6.5658 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 6.4471WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 6.4511 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 7.8303WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 6.3677 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 6.6442WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 6.2621 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 7.2151WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 6.1939 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 6.1327WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 6.0911 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 6.7545WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.9968 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9747WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.9254 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 7.1359WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.8674 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8122WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.7500 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9369WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.6913 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 6.4340WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.6228 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4637WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.5770 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8846WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.4601 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8836WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.3784 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8327WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.3156 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 6.2760WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.2552 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2951WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 5.1695 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 6.0640WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.1180 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0547WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.0479 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3677WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.0072 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9232WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.0045 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3692WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.9190 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1581WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.9170 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3659WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.8404 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9528WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.7903 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7950WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.7205 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4747WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.7182 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3412WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.6855 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6514WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.6583 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2970WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.6563 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3253WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.6422 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8162WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.6307 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8995WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.5774 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5833WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.5857 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7492WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.6238 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7733WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.5629 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1528WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.5150 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3918WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.4448 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0922WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.4837 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2817WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.4227 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6198WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.4123 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1224WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.3919 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2461WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.4083 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1791WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.3278 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9817WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.4123 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9931WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.4818 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6215WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.3610 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9883WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.3334 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7857WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.3196 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1854WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.3845 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4495WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.3410 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7413WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.3347 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9460WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2700 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8119WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2870 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1824WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2858 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0808WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2523 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7011WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2704 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3563WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2471 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5760WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2498 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7103WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2427 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0846WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.3169 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4172WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2350 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4695WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2297 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5304WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1884 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5864WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2149 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9058WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2317 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9741WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2032 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6017WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2308 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9160WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1771 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3720WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1904 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5341WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1963 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1986WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2007 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1656WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2406 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1772WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1789 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6180WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2242 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8420WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1749 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3252WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2297 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7557WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1698 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2567WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 4.1787 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6556WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1849 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0778WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1934 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1064WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1898 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9149WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2207 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6976WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2406 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4337WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1741 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8360WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1987 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6431WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1817 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2342WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2582 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7035WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2067 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7809WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1801 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9444WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2509 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4721WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2232 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9395WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2191 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1054WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.3109 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8164WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1785 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0524WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1866 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4018WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2050 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9205WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2230 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8126WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1886 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0510WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1766 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4193WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2011 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0795WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1754 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4373WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1917 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0130WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1817 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0711WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1934 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1312WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1834 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4582WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1547 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6609WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1729 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1228WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2337 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1376WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1535 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3181WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1874 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1258WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1833 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4965WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1989 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1398WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1765 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2981WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1997 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4044WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1757 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5728WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1765 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7928WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2360 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3701WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1771 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4148WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2098 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2303WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1930 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2838WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1814 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4842WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1506 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4660WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1995 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4875WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2490 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1511WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1801 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5887WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2236 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9926WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1933 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0588WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1822 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9070WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1717 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7752WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1585 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3661WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2106 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1210WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1533 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8536WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1529 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4101WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2177 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9711WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2783 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2701WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1586 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3363WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1707 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0938WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2086 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0179WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1815 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8078WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2688 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6188WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1978 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2469WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1667 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9674WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1604 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2925WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2289 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8239WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1806 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7188WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2198 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4445WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1741 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3599WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1280 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4910WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1644 - lr: 4.5400e-09
{'n_layers': 1, 'filter_unit0': 64, 'kernel_size0': 1, 'pool_size0': 4, 'stride_size0': 4, 'dropout0': 0.0}
1/39 [..............................] - ETA: 4s
32/39 [=======================>......] - ETA: 0s
39/39 [==============================] - 0s 2ms/step
WARNING:tensorflow:Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
adding new entry
subject config_id mdl_str ... r2 pearsonr_coeff pearsonr_pval
0 Pilot02 0 linreg ... -9.864563 0.038776 0.364940
1 Pilot02 0 linreg ... -11.875765 0.070097 0.101171
2 Pilot02 0 linreg ... -11.069278 0.047023 0.271822
3 Pilot02 0 linreg ... -25.345517 0.016892 0.693177
4 Pilot02 0 linreg ... -15.299470 0.118749 0.005380
.. ... ... ... ... ... ... ...
449 Pilot02 1 cnn1d ... -6.520777 -0.051417 0.069624
450 Pilot03 1 cnn1d ... -0.781686 -0.122732 0.000119
451 Pilot02 1 cnn1d ... -4.034575 -0.062910 0.026377
452 Pilot03 1 cnn1d ... -2.688729 0.019454 0.543409
453 Pilot02 1 cnn1d ... -4.514606 -0.022680 0.423778
[454 rows x 18 columns]
imu-bvp_rr_Pilot02_id1_combi5.0-7.0-10.0-17.0-20.0
train
(35921, 11)
test
(364536, 10)
---CNN1D---
input shape: (1440, 7)
x shape: (115, 1440, 7)
Search: Running Trial #1
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
64 |64 |filter_unit0
3 |3 |kernel_size0
5 |5 |pool_size0
4 |4 |stride_size0
0.2 |0.2 |dropout0
[2K
[2K
Trial 1 Complete [00h 00m 03s]
val_loss: 20.808496475219727
Best val_loss So Far: 20.808496475219727
Total elapsed time: 00h 00m 03s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
64 |64 |filter_unit0
256 |None |filter_unit1
1 |3 |kernel_size0
1 |None |kernel_size1
2 |5 |pool_size0
1 |None |pool_size1
2 |4 |stride_size0
4 |None |stride_size1
0.4 |0.2 |dropout0
0 |None |dropout1
[2K
[2K
Trial 2 Complete [00h 00m 04s]
val_loss: 20.015233993530273
Best val_loss So Far: 20.015233993530273
Total elapsed time: 00h 00m 06s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
2 |2 |n_layers
128 |64 |filter_unit0
256 |256 |filter_unit1
5 |1 |kernel_size0
5 |1 |kernel_size1
5 |2 |pool_size0
3 |1 |pool_size1
5 |2 |stride_size0
1 |4 |stride_size1
0.3 |0.4 |dropout0
0.2 |0 |dropout1
[2K
[2K
Trial 3 Complete [00h 00m 03s]
val_loss: 21.22150230407715
Best val_loss So Far: 20.015233993530273
Total elapsed time: 00h 00m 09s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
1 |2 |n_layers
256 |64 |filter_unit0
3 |1 |kernel_size0
1 |2 |pool_size0
4 |2 |stride_size0
0.2 |0.4 |dropout0
[2K
[2K
Trial 4 Complete [00h 00m 03s]
val_loss: 19.259384155273438
Best val_loss So Far: 19.259384155273438
Total elapsed time: 00h 00m 12s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
128 |256 |filter_unit0
4 |3 |kernel_size0
5 |1 |pool_size0
1 |4 |stride_size0
0.4 |0.2 |dropout0
[2K
[2K
Trial 5 Complete [00h 00m 03s]
val_loss: 19.452289581298828
Best val_loss So Far: 19.259384155273438
Total elapsed time: 00h 00m 15s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
32 |256 |filter_unit0
128 |None |filter_unit1
32 |None |filter_unit2
32 |None |filter_unit3
3 |3 |kernel_size0
5 |None |kernel_size1
5 |None |kernel_size2
5 |None |kernel_size3
3 |1 |pool_size0
1 |None |pool_size1
3 |None |pool_size2
3 |None |pool_size3
5 |4 |stride_size0
1 |None |stride_size1
4 |None |stride_size2
2 |None |stride_size3
0.4 |0.2 |dropout0
0.2 |None |dropout1
0.1 |None |dropout2
0 |None |dropout3
[2K
[2K
Trial 6 Complete [00h 00m 05s]
val_loss: 19.740652084350586
Best val_loss So Far: 19.259384155273438
Total elapsed time: 00h 00m 20s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
32 |256 |filter_unit0
32 |None |filter_unit1
1 |3 |kernel_size0
4 |None |kernel_size1
3 |1 |pool_size0
5 |None |pool_size1
2 |4 |stride_size0
4 |None |stride_size1
0.3 |0.2 |dropout0
0.3 |None |dropout1
[2K
[2K
Trial 7 Complete [00h 00m 03s]
val_loss: 20.59298324584961
Best val_loss So Far: 19.259384155273438
Total elapsed time: 00h 00m 23s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
128 |256 |filter_unit0
32 |None |filter_unit1
3 |3 |kernel_size0
2 |None |kernel_size1
2 |1 |pool_size0
2 |None |pool_size1
5 |4 |stride_size0
3 |None |stride_size1
0.3 |0.2 |dropout0
0.2 |None |dropout1
[2K
[2K
Trial 8 Complete [00h 00m 04s]
val_loss: 20.462841033935547
Best val_loss So Far: 19.259384155273438
Total elapsed time: 00h 00m 27s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
32 |256 |filter_unit0
5 |3 |kernel_size0
3 |1 |pool_size0
5 |4 |stride_size0
0.2 |0.2 |dropout0
[2K
[2K
Trial 9 Complete [00h 00m 02s]
val_loss: 19.51274871826172
Best val_loss So Far: 19.259384155273438
Total elapsed time: 00h 00m 30s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
256 |256 |filter_unit0
1 |3 |kernel_size0
2 |1 |pool_size0
3 |4 |stride_size0
0.1 |0.2 |dropout0
[2K
[2K
Trial 10 Complete [00h 00m 03s]
val_loss: 19.478626251220703
Best val_loss So Far: 19.259384155273438
Total elapsed time: 00h 00m 33s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
64 |256 |filter_unit0
32 |None |filter_unit1
256 |None |filter_unit2
256 |None |filter_unit3
128 |None |filter_unit4
5 |3 |kernel_size0
5 |None |kernel_size1
2 |None |kernel_size2
5 |None |kernel_size3
3 |None |kernel_size4
1 |1 |pool_size0
2 |None |pool_size1
3 |None |pool_size2
1 |None |pool_size3
2 |None |pool_size4
1 |4 |stride_size0
2 |None |stride_size1
5 |None |stride_size2
3 |None |stride_size3
2 |None |stride_size4
0.4 |0.2 |dropout0
0.2 |None |dropout1
0.3 |None |dropout2
0.3 |None |dropout3
0.3 |None |dropout4
[2K
[2K
Trial 11 Complete [00h 00m 06s]
val_loss: 19.76178741455078
Best val_loss So Far: 19.259384155273438
Total elapsed time: 00h 00m 38s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
32 |256 |filter_unit0
32 |None |filter_unit1
32 |None |filter_unit2
128 |None |filter_unit3
2 |3 |kernel_size0
2 |None |kernel_size1
4 |None |kernel_size2
2 |None |kernel_size3
2 |1 |pool_size0
5 |None |pool_size1
5 |None |pool_size2
4 |None |pool_size3
3 |4 |stride_size0
1 |None |stride_size1
1 |None |stride_size2
4 |None |stride_size3
0.4 |0.2 |dropout0
0 |None |dropout1
0.4 |None |dropout2
0.3 |None |dropout3
[2K
[2K
Trial 12 Complete [00h 00m 05s]
val_loss: 19.639001846313477
Best val_loss So Far: 19.259384155273438
Total elapsed time: 00h 00m 43s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
64 |256 |filter_unit0
2 |3 |kernel_size0
2 |1 |pool_size0
1 |4 |stride_size0
0.3 |0.2 |dropout0
[2K
[2K
Trial 13 Complete [00h 00m 03s]
val_loss: 19.016952514648438
Best val_loss So Far: 19.016952514648438
Total elapsed time: 00h 00m 46s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
32 |64 |filter_unit0
128 |None |filter_unit1
128 |None |filter_unit2
256 |None |filter_unit3
5 |2 |kernel_size0
1 |None |kernel_size1
5 |None |kernel_size2
2 |None |kernel_size3
4 |2 |pool_size0
3 |None |pool_size1
3 |None |pool_size2
2 |None |pool_size3
2 |1 |stride_size0
5 |None |stride_size1
2 |None |stride_size2
5 |None |stride_size3
0.1 |0.3 |dropout0
0.4 |None |dropout1
0.3 |None |dropout2
0.3 |None |dropout3
[2K
[2K
Trial 14 Complete [00h 00m 05s]
val_loss: 19.348552703857422
Best val_loss So Far: 19.016952514648438
Total elapsed time: 00h 00m 51s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
256 |64 |filter_unit0
256 |None |filter_unit1
256 |None |filter_unit2
128 |None |filter_unit3
128 |None |filter_unit4
1 |2 |kernel_size0
4 |None |kernel_size1
5 |None |kernel_size2
3 |None |kernel_size3
4 |None |kernel_size4
1 |2 |pool_size0
1 |None |pool_size1
4 |None |pool_size2
1 |None |pool_size3
5 |None |pool_size4
4 |1 |stride_size0
4 |None |stride_size1
1 |None |stride_size2
3 |None |stride_size3
3 |None |stride_size4
0 |0.3 |dropout0
0.2 |None |dropout1
0.2 |None |dropout2
0.1 |None |dropout3
0.4 |None |dropout4
[2K
[2K
Trial 15 Complete [00h 00m 06s]
val_loss: 19.812877655029297
Best val_loss So Far: 19.016952514648438
Total elapsed time: 00h 00m 57s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
256 |64 |filter_unit0
64 |None |filter_unit1
256 |None |filter_unit2
64 |None |filter_unit3
3 |2 |kernel_size0
5 |None |kernel_size1
1 |None |kernel_size2
1 |None |kernel_size3
4 |2 |pool_size0
3 |None |pool_size1
5 |None |pool_size2
4 |None |pool_size3
1 |1 |stride_size0
4 |None |stride_size1
1 |None |stride_size2
2 |None |stride_size3
0.2 |0.3 |dropout0
0 |None |dropout1
0 |None |dropout2
0.3 |None |dropout3
[2K
[2K
Trial 16 Complete [00h 00m 05s]
val_loss: 20.040342330932617
Best val_loss So Far: 19.016952514648438
Total elapsed time: 00h 01m 02s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
256 |64 |filter_unit0
32 |None |filter_unit1
128 |None |filter_unit2
256 |None |filter_unit3
3 |2 |kernel_size0
1 |None |kernel_size1
1 |None |kernel_size2
2 |None |kernel_size3
4 |2 |pool_size0
2 |None |pool_size1
1 |None |pool_size2
4 |None |pool_size3
5 |1 |stride_size0
2 |None |stride_size1
4 |None |stride_size2
2 |None |stride_size3
0.1 |0.3 |dropout0
0.2 |None |dropout1
0.1 |None |dropout2
0.1 |None |dropout3
[2K
[2K
Trial 17 Complete [00h 00m 05s]
val_loss: 19.716537475585938
Best val_loss So Far: 19.016952514648438
Total elapsed time: 00h 01m 07s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
128 |64 |filter_unit0
256 |None |filter_unit1
256 |None |filter_unit2
256 |None |filter_unit3
128 |None |filter_unit4
1 |2 |kernel_size0
5 |None |kernel_size1
2 |None |kernel_size2
1 |None |kernel_size3
5 |None |kernel_size4
1 |2 |pool_size0
1 |None |pool_size1
3 |None |pool_size2
1 |None |pool_size3
3 |None |pool_size4
2 |1 |stride_size0
3 |None |stride_size1
4 |None |stride_size2
4 |None |stride_size3
5 |None |stride_size4
0.4 |0.3 |dropout0
0.3 |None |dropout1
0.4 |None |dropout2
0 |None |dropout3
0 |None |dropout4
[2K
[2K
Trial 18 Complete [00h 00m 07s]
val_loss: 19.672929763793945
Best val_loss So Far: 19.016952514648438
Total elapsed time: 00h 01m 14s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
128 |64 |filter_unit0
64 |None |filter_unit1
64 |None |filter_unit2
128 |None |filter_unit3
256 |None |filter_unit4
2 |2 |kernel_size0
1 |None |kernel_size1
3 |None |kernel_size2
2 |None |kernel_size3
5 |None |kernel_size4
1 |2 |pool_size0
5 |None |pool_size1
2 |None |pool_size2
4 |None |pool_size3
2 |None |pool_size4
3 |1 |stride_size0
1 |None |stride_size1
3 |None |stride_size2
5 |None |stride_size3
4 |None |stride_size4
0.3 |0.3 |dropout0
0.2 |None |dropout1
0.3 |None |dropout2
0.2 |None |dropout3
0.2 |None |dropout4
[2K
[2K
Trial 19 Complete [00h 00m 07s]
val_loss: 19.40155029296875
Best val_loss So Far: 19.016952514648438
Total elapsed time: 00h 01m 20s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
32 |64 |filter_unit0
1 |2 |kernel_size0
3 |2 |pool_size0
1 |1 |stride_size0
0.3 |0.3 |dropout0
[2K
[2K
Trial 20 Complete [00h 00m 03s]
val_loss: 19.43755531311035
Best val_loss So Far: 19.016952514648438
Total elapsed time: 00h 01m 23s
{'n_layers': 1, 'filter_unit0': 64, 'kernel_size0': 2, 'pool_size0': 2, 'stride_size0': 1, 'dropout0': 0.30000000000000004}
Epoch 1/200
1/4 [======>.......................] - ETA: 2s - loss: 4.6201WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 1s 14ms/step - loss: 5.7413 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7154WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 5.5749 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0097WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 5.5184 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 6.6723WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 5.3802 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 6.3744WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 5.4061 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 6.3044WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 5.3454 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 5.7331WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 5.3158 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3765WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 5.1105 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 6.3385WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 5.2198 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3856WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 5.1303 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9494WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 5.0366 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 6.2771WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.9974 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3434WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.9664 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4409WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.8971 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2868WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.9361 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8071WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.9688 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 6.1808WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.9248 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7125WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.8193 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2137WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.8456 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4269WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.7415 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6099WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.7755 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 5.5293WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.7865 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 5.9460WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.7972 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5131WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.7473 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8026WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.7287 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2681WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.6571 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2852WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.6213 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0282WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.5755 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9891WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.5472 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9686WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.4878 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1925WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.5094 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3100WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.5000 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8326WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.4425 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9195WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.3735 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8873WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.3987 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9831WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.4198 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3458WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.3284 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9060WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.3112 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4390WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.3394 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8270WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.3090 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3150WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.3469 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5758WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.2545 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6671WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.1583 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4088WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.2388 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3808WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.2659 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7024WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.1251 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7901WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.1554 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9001WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.1412 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7647WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.0586 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1316WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.1322 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1404WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.0458 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8782WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.0411 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0913WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.9474 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0840WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.9955 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6853WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.9188 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9710WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.9923 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3022WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.0413 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0694WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.9004 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5496WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.8324 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8805WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.8310 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6591WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.8287 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6008WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.7527 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2924WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.8220 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6569WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.8267 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8969WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.7451 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4611WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.7361 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4195WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.7337 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5793WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.7032 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6181WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.6552 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2253WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.7029 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2823WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.5823 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1348WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.6084 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8017WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.6598 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7244WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.5711 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3842WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.5998 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1176WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.5109 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7460WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.5759 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8227WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.6026 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3891WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.6921 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9153WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.5428 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3844WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.5257 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5194WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.4927 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6134WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.5387 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4300WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.5164 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4374WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.4315 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6008WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.4772 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2807WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.4859 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4058WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.3559 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8316WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.4069 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6310WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.3283 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2903WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.3334 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2663WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2894 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1930WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.5125 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5647WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2735 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7195WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2231 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6950WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2101 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6756WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2406 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5537WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2529 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8466WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2917 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3520WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2200 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9708WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.4009 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2535WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2906 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3921WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1888 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8058WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2580 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6891WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.3560 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0452WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1153 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4462WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2746 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0439WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1584 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9685WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2331 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6365WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1996 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3405WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2484 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0195WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1571 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7415WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1026 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7035WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1422 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4653WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1811 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3958WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1060 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4279WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1029 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5801WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1424 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2289WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2096 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1415WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2015 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3973WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1007 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8634WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0823 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5445WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0468 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9414WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1607 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7037WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0786 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7466WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0978 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7271WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1504 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2337WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1072 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2342WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1084 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6611WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1849 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8652WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1113 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4450WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0356 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8334WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0822 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0931WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1215 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5025WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1159 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1355WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0358 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5092WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0734 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4392WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1830 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8418WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.9913 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5117WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0542 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4519WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0301 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7276WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1065 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2759WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1592 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7344WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0512 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1084WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0741 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2463WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2850 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4958WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1595 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8200WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0550 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4701WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0914 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7786WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2123 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9768WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0443 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6690WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0589 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1517WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1908 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3090WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0433 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5490WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0962 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0548WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1035 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9800WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1065 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9481WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1052 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3025WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0528 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0972WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1602 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7826WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0699 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7410WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1287 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3900WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0231 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1447WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1992 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6111WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0618 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1088WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1186 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1324WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0175 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3497WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0906 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6514WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1174 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1366WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0855 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8097WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2327 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1117WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0306 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1736WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1833 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1537WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1246 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0448WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1066 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1657WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1310 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5491WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0546 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9608WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0947 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0366WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1421 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1866WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1457 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2996WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0149 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2000WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0730 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9941WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1576 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7504WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1959 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8005WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1628 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9041WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0771 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0400WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2141 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3045WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0510 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6577WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1426 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7517WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0776 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2658WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0532 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2826WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.1786 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8085WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1789 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7893WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1669 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2497WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1247 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5743WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1769 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8019WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2098 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7663WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1692 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8442WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1036 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1278WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0762 - lr: 4.5400e-09
{'n_layers': 1, 'filter_unit0': 64, 'kernel_size0': 2, 'pool_size0': 2, 'stride_size0': 1, 'dropout0': 0.30000000000000004}
1/39 [..............................] - ETA: 5s
27/39 [===================>..........] - ETA: 0s
39/39 [==============================] - 0s 2ms/step
WARNING:tensorflow:Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
adding new entry
subject config_id mdl_str ... r2 pearsonr_coeff pearsonr_pval
0 Pilot02 0 linreg ... -9.864563 0.038776 0.364940
1 Pilot02 0 linreg ... -11.875765 0.070097 0.101171
2 Pilot02 0 linreg ... -11.069278 0.047023 0.271822
3 Pilot02 0 linreg ... -25.345517 0.016892 0.693177
4 Pilot02 0 linreg ... -15.299470 0.118749 0.005380
.. ... ... ... ... ... ... ...
451 Pilot02 1 cnn1d ... -4.034575 -0.062910 0.026377
452 Pilot03 1 cnn1d ... -2.688729 0.019454 0.543409
453 Pilot02 1 cnn1d ... -4.514606 -0.022680 0.423778
454 Pilot03 1 cnn1d ... -1.450642 -0.040626 0.204296
455 Pilot02 1 cnn1d ... -4.806197 -0.019540 0.490757
[456 rows x 18 columns]
imu-bvp_rr_Pilot02_id1_combi5.0-7.0-12.0-15.0-17.0
train
(35921, 11)
test
(364536, 10)
---CNN1D---
input shape: (1440, 7)
x shape: (115, 1440, 7)
Search: Running Trial #1
Value |Best Value So Far |Hyperparameter
2 |2 |n_layers
64 |64 |filter_unit0
128 |128 |filter_unit1
1 |1 |kernel_size0
3 |3 |kernel_size1
5 |5 |pool_size0
1 |1 |pool_size1
4 |4 |stride_size0
4 |4 |stride_size1
0 |0 |dropout0
0.3 |0.3 |dropout1
[2K
[2K
Trial 1 Complete [00h 00m 03s]
val_loss: 16.833127975463867
Best val_loss So Far: 16.833127975463867
Total elapsed time: 00h 00m 03s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
4 |2 |n_layers
256 |64 |filter_unit0
64 |128 |filter_unit1
64 |None |filter_unit2
64 |None |filter_unit3
1 |1 |kernel_size0
2 |3 |kernel_size1
3 |None |kernel_size2
3 |None |kernel_size3
3 |5 |pool_size0
4 |1 |pool_size1
3 |None |pool_size2
5 |None |pool_size3
4 |4 |stride_size0
1 |4 |stride_size1
3 |None |stride_size2
5 |None |stride_size3
0.3 |0 |dropout0
0.2 |0.3 |dropout1
0.2 |None |dropout2
0.1 |None |dropout3
[2K
[2K
Trial 2 Complete [00h 00m 05s]
val_loss: 16.820575714111328
Best val_loss So Far: 16.820575714111328
Total elapsed time: 00h 00m 08s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
1 |4 |n_layers
128 |256 |filter_unit0
4 |1 |kernel_size0
4 |3 |pool_size0
4 |4 |stride_size0
0.3 |0.3 |dropout0
[2K
[2K
Trial 3 Complete [00h 00m 03s]
val_loss: 15.68348217010498
Best val_loss So Far: 15.68348217010498
Total elapsed time: 00h 00m 11s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
128 |128 |filter_unit0
128 |None |filter_unit1
64 |None |filter_unit2
5 |4 |kernel_size0
4 |None |kernel_size1
3 |None |kernel_size2
4 |4 |pool_size0
4 |None |pool_size1
5 |None |pool_size2
3 |4 |stride_size0
4 |None |stride_size1
3 |None |stride_size2
0 |0.3 |dropout0
0 |None |dropout1
0.3 |None |dropout2
[2K
[2K
Trial 4 Complete [00h 00m 04s]
val_loss: 16.485074996948242
Best val_loss So Far: 15.68348217010498
Total elapsed time: 00h 00m 15s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
256 |128 |filter_unit0
4 |4 |kernel_size0
5 |4 |pool_size0
3 |4 |stride_size0
0 |0.3 |dropout0
[2K
[2K
Trial 5 Complete [00h 00m 04s]
val_loss: 17.117616653442383
Best val_loss So Far: 15.68348217010498
Total elapsed time: 00h 00m 19s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
32 |128 |filter_unit0
1 |4 |kernel_size0
4 |4 |pool_size0
5 |4 |stride_size0
0.1 |0.3 |dropout0
[2K
[2K
Trial 6 Complete [00h 00m 06s]
val_loss: 16.38334846496582
Best val_loss So Far: 15.68348217010498
Total elapsed time: 00h 00m 25s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
256 |128 |filter_unit0
256 |None |filter_unit1
256 |None |filter_unit2
3 |4 |kernel_size0
1 |None |kernel_size1
3 |None |kernel_size2
4 |4 |pool_size0
3 |None |pool_size1
3 |None |pool_size2
4 |4 |stride_size0
3 |None |stride_size1
4 |None |stride_size2
0.2 |0.3 |dropout0
0 |None |dropout1
0.2 |None |dropout2
[2K
[2K
Trial 7 Complete [00h 00m 05s]
val_loss: 16.628984451293945
Best val_loss So Far: 15.68348217010498
Total elapsed time: 00h 00m 30s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
128 |128 |filter_unit0
32 |None |filter_unit1
128 |None |filter_unit2
3 |4 |kernel_size0
3 |None |kernel_size1
2 |None |kernel_size2
5 |4 |pool_size0
2 |None |pool_size1
1 |None |pool_size2
3 |4 |stride_size0
1 |None |stride_size1
3 |None |stride_size2
0.1 |0.3 |dropout0
0.3 |None |dropout1
0.3 |None |dropout2
[2K
[2K
Trial 8 Complete [00h 00m 04s]
val_loss: 16.687210083007812
Best val_loss So Far: 15.68348217010498
Total elapsed time: 00h 00m 34s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
128 |128 |filter_unit0
5 |4 |kernel_size0
4 |4 |pool_size0
5 |4 |stride_size0
0.2 |0.3 |dropout0
[2K
[2K
Trial 9 Complete [00h 00m 03s]
val_loss: 17.386219024658203
Best val_loss So Far: 15.68348217010498
Total elapsed time: 00h 00m 37s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
64 |128 |filter_unit0
128 |None |filter_unit1
1 |4 |kernel_size0
1 |None |kernel_size1
2 |4 |pool_size0
4 |None |pool_size1
2 |4 |stride_size0
4 |None |stride_size1
0.4 |0.3 |dropout0
0.2 |None |dropout1
[2K
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0077s vs `on_train_batch_end` time: 0.0081s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0077s vs `on_train_batch_end` time: 0.0081s). Check your callbacks.
[2K
Trial 10 Complete [00h 00m 03s]
val_loss: 17.18101692199707
Best val_loss So Far: 15.68348217010498
Total elapsed time: 00h 00m 40s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
256 |128 |filter_unit0
5 |4 |kernel_size0
2 |4 |pool_size0
1 |4 |stride_size0
0.4 |0.3 |dropout0
[2K
[2K
Trial 11 Complete [00h 00m 03s]
val_loss: 17.20536994934082
Best val_loss So Far: 15.68348217010498
Total elapsed time: 00h 00m 43s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
32 |128 |filter_unit0
256 |None |filter_unit1
3 |4 |kernel_size0
5 |None |kernel_size1
5 |4 |pool_size0
3 |None |pool_size1
4 |4 |stride_size0
2 |None |stride_size1
0.2 |0.3 |dropout0
0.2 |None |dropout1
[2K
[2K
Trial 12 Complete [00h 00m 03s]
val_loss: 17.501855850219727
Best val_loss So Far: 15.68348217010498
Total elapsed time: 00h 00m 46s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
256 |128 |filter_unit0
64 |None |filter_unit1
2 |4 |kernel_size0
1 |None |kernel_size1
5 |4 |pool_size0
5 |None |pool_size1
1 |4 |stride_size0
3 |None |stride_size1
0.2 |0.3 |dropout0
0.1 |None |dropout1
[2K
[2K
Trial 13 Complete [00h 00m 04s]
val_loss: 16.889047622680664
Best val_loss So Far: 15.68348217010498
Total elapsed time: 00h 00m 50s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
256 |128 |filter_unit0
128 |None |filter_unit1
128 |None |filter_unit2
128 |None |filter_unit3
32 |None |filter_unit4
4 |4 |kernel_size0
2 |None |kernel_size1
2 |None |kernel_size2
1 |None |kernel_size3
2 |None |kernel_size4
5 |4 |pool_size0
4 |None |pool_size1
5 |None |pool_size2
1 |None |pool_size3
2 |None |pool_size4
5 |4 |stride_size0
3 |None |stride_size1
1 |None |stride_size2
3 |None |stride_size3
4 |None |stride_size4
0.4 |0.3 |dropout0
0.2 |None |dropout1
0 |None |dropout2
0.3 |None |dropout3
0 |None |dropout4
[2K
[2K
Trial 14 Complete [00h 00m 06s]
val_loss: 16.920127868652344
Best val_loss So Far: 15.68348217010498
Total elapsed time: 00h 00m 57s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
256 |128 |filter_unit0
32 |None |filter_unit1
64 |None |filter_unit2
4 |4 |kernel_size0
3 |None |kernel_size1
1 |None |kernel_size2
3 |4 |pool_size0
1 |None |pool_size1
1 |None |pool_size2
2 |4 |stride_size0
5 |None |stride_size1
4 |None |stride_size2
0.3 |0.3 |dropout0
0.1 |None |dropout1
0.3 |None |dropout2
[2K
[2K
Trial 15 Complete [00h 00m 09s]
val_loss: 16.83807945251465
Best val_loss So Far: 15.68348217010498
Total elapsed time: 00h 01m 06s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
32 |128 |filter_unit0
2 |4 |kernel_size0
4 |4 |pool_size0
4 |4 |stride_size0
0.1 |0.3 |dropout0
[2K
[2K
Trial 16 Complete [00h 00m 02s]
val_loss: 18.202991485595703
Best val_loss So Far: 15.68348217010498
Total elapsed time: 00h 01m 08s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
64 |128 |filter_unit0
1 |4 |kernel_size0
1 |4 |pool_size0
5 |4 |stride_size0
0.1 |0.3 |dropout0
[2K
[2K
Trial 17 Complete [00h 00m 03s]
val_loss: 16.11390495300293
Best val_loss So Far: 15.68348217010498
Total elapsed time: 00h 01m 11s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
32 |128 |filter_unit0
64 |None |filter_unit1
32 |None |filter_unit2
5 |4 |kernel_size0
5 |None |kernel_size1
2 |None |kernel_size2
4 |4 |pool_size0
1 |None |pool_size1
2 |None |pool_size2
2 |4 |stride_size0
1 |None |stride_size1
1 |None |stride_size2
0 |0.3 |dropout0
0.1 |None |dropout1
0.3 |None |dropout2
[2K
[2K
Trial 18 Complete [00h 00m 04s]
val_loss: 16.243846893310547
Best val_loss So Far: 15.68348217010498
Total elapsed time: 00h 01m 15s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
32 |128 |filter_unit0
64 |None |filter_unit1
128 |None |filter_unit2
1 |4 |kernel_size0
3 |None |kernel_size1
3 |None |kernel_size2
4 |4 |pool_size0
3 |None |pool_size1
5 |None |pool_size2
5 |4 |stride_size0
3 |None |stride_size1
5 |None |stride_size2
0.1 |0.3 |dropout0
0.4 |None |dropout1
0 |None |dropout2
[2K
[2K
Trial 19 Complete [00h 00m 04s]
val_loss: 16.614103317260742
Best val_loss So Far: 15.68348217010498
Total elapsed time: 00h 01m 19s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
256 |128 |filter_unit0
64 |None |filter_unit1
128 |None |filter_unit2
256 |None |filter_unit3
256 |None |filter_unit4
5 |4 |kernel_size0
1 |None |kernel_size1
4 |None |kernel_size2
4 |None |kernel_size3
3 |None |kernel_size4
2 |4 |pool_size0
2 |None |pool_size1
5 |None |pool_size2
3 |None |pool_size3
3 |None |pool_size4
2 |4 |stride_size0
5 |None |stride_size1
1 |None |stride_size2
3 |None |stride_size3
5 |None |stride_size4
0.1 |0.3 |dropout0
0.4 |None |dropout1
0.1 |None |dropout2
0.4 |None |dropout3
0.3 |None |dropout4
[2K
[2K
Trial 20 Complete [00h 00m 07s]
val_loss: 16.38911247253418
Best val_loss So Far: 15.68348217010498
Total elapsed time: 00h 01m 26s
{'n_layers': 1, 'filter_unit0': 128, 'kernel_size0': 4, 'pool_size0': 4, 'stride_size0': 4, 'dropout0': 0.30000000000000004}
Epoch 1/200
1/4 [======>.......................] - ETA: 2s - loss: 18.4001WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 1s 15ms/step - loss: 18.2650 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 18.4991WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 17.3017 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 16.7730WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 16.1438 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 15.0125WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 15.4046 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 15.2779WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 14.4738 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 14.2822WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 13.2955 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 11.6642WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 12.4832 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 11.8110WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 11.6229 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 12.3255WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 10.7889 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 9.5452WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 9.8327 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 9.3244WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 9.0245 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 9.2413WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 8.2920 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 7.3951WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 7.6012 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 8.2316WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 7.0282 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 5.6974WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 6.4288 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 6.4814WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 6.0201 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2671WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 5.4976 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 6.3802WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 5.4488 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2727WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 5.1147 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 5.5248WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 5.1261 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7585WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 4.8580 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4642WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 4.5570 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 5.7367WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 4.7361 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2663WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 4.4609 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9358WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 4.3659 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0396WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 4.2099 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6692WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 4.1870 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9210WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 4.0943 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7512WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 3.9384 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3480WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.7200 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3516WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.7824 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9387WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 3.5507 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3947WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 3.6314 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1039WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 3.4568 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7243WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 3.4821 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7772WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 3.4140 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3069WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 3.1309 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1460WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 3.1810 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6462WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 3.1051 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9655WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 3.3318 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0409WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 3.1732 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9908WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 3.0848 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5678WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 3.0094 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0774WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.9084 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5723WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 3.1689 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0239WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.8674 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4692WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.8055 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8947WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.8275 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6228WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.6507 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3961WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.5733 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1340WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.6786 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5392WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.8007 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0463WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.6854 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0978WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.6536 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7527WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.4341 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5238WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.6046 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2384WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.5851 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6201WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.3950 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5322WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.5493 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9002WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.4651 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9168WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.4057 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9474WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.3109 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1775WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.3107 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3418WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.3935 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2195WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.3693 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8603WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.4327 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2894WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.4755 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6624WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.3956 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5660WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.1761 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3094WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.3635 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8497WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.1471 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6588WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.1019 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1520WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.1241 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3042WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.2676 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1532WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.2920 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0462WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.0664 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8090WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.1697 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6747WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.2496 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5580WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.0440 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7804WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.1162 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5492WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.0762 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1507WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.1395 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0742WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.0147 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9235WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.9275 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9722WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.0582 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0451WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.9312 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0769WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.8588 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2138WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.9662 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8662WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.8255 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1657WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.9352 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0703WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.9623 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6907WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.8613 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3186WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.8420 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1281WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.1069 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4413WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.9034 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9965WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.8548 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1022WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.9484 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8044WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.7663 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0707WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.9046 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6134WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.8218 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1700WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.8358 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2378WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.8405 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8219WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.7438 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1844WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.7305 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9070WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.7834 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9447WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.7940 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3651WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.8289 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8327WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.7658 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8635WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.7223 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3329WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.7600 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3477WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.8310 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6366WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.8450 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6447WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.7794 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6722WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.7403 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8052WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.6510 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7557WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.8176 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7982WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.7670 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7747WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.6955 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9725WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.7707 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5925WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.7858 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6469WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.8079 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0150WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.7308 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0186WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.6755 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7343WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.6693 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4072WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.6937 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5787WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.7951 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8784WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.7864 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7016WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.6710 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8534WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.7543 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1394WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.6928 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8261WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.7385 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6067WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.7371 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8227WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.7813 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8578WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.9242 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5563WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.7657 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8793WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.7701 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9527WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.7008 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6490WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.7015 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0757WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.6014 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2295WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.7133 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6404WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.6869 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7123WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.7390 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8862WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.7100 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9044WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.8039 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6463WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.8839 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2194WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.6201 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6197WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.5312 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5915WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.6576 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3460WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.7628 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7117WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.7321 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7299WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.5982 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7819WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.7630 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5431WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.8945 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0285WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.6775 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5020WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.7183 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6447WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.7812 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6845WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.6848 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3192WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.6522 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0369WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.8170 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8069WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.8269 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3155WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.5800 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6439WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.6566 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5798WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.7480 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7079WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.6359 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1362WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.6757 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2997WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.7455 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0107WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.7309 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7703WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.7822 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6777WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.5331 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2456WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.5766 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8746WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.8009 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5307WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.7570 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7964WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.6030 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5516WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.6218 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5464WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.6026 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8874WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.7163 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7730WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.7742 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5538WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.8218 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0604WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.7525 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3914WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.7799 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7191WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.7112 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9504WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.9030 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2185WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.7365 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8858WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.7699 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1232WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.6421 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9568WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.6694 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8099WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.6901 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8010WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.7726 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5300WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.7218 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8602WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.7539 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5515WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.5700 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1885WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.6796 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5829WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.6603 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4818WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.7137 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3730WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.6419 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9029WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.9870 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6920WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.8063 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4818WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.6220 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4153WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.5521 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7120WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.6457 - lr: 4.5400e-09
{'n_layers': 1, 'filter_unit0': 128, 'kernel_size0': 4, 'pool_size0': 4, 'stride_size0': 4, 'dropout0': 0.30000000000000004}
1/39 [..............................] - ETA: 4s
22/39 [===============>..............] - ETA: 0s
39/39 [==============================] - ETA: 0s
39/39 [==============================] - 0s 3ms/step
WARNING:tensorflow:Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
adding new entry
subject config_id mdl_str ... r2 pearsonr_coeff pearsonr_pval
0 Pilot02 0 linreg ... -9.864563 0.038776 0.364940
1 Pilot02 0 linreg ... -11.875765 0.070097 0.101171
2 Pilot02 0 linreg ... -11.069278 0.047023 0.271822
3 Pilot02 0 linreg ... -25.345517 0.016892 0.693177
4 Pilot02 0 linreg ... -15.299470 0.118749 0.005380
.. ... ... ... ... ... ... ...
453 Pilot02 1 cnn1d ... -4.514606 -0.022680 0.423778
454 Pilot03 1 cnn1d ... -1.450642 -0.040626 0.204296
455 Pilot02 1 cnn1d ... -4.806197 -0.019540 0.490757
456 Pilot03 1 cnn1d ... -0.386144 -0.051391 0.108238
457 Pilot02 1 cnn1d ... -6.263671 -0.052925 0.061815
[458 rows x 18 columns]
imu-bvp_rr_Pilot02_id1_combi5.0-7.0-12.0-15.0-20.0
train
(35921, 11)
test
(364536, 10)
---CNN1D---
input shape: (1440, 7)
x shape: (110, 1440, 7)
Search: Running Trial #1
Value |Best Value So Far |Hyperparameter
4 |4 |n_layers
64 |64 |filter_unit0
256 |256 |filter_unit1
32 |32 |filter_unit2
64 |64 |filter_unit3
4 |4 |kernel_size0
1 |1 |kernel_size1
2 |2 |kernel_size2
2 |2 |kernel_size3
2 |2 |pool_size0
4 |4 |pool_size1
2 |2 |pool_size2
4 |4 |pool_size3
5 |5 |stride_size0
4 |4 |stride_size1
2 |2 |stride_size2
3 |3 |stride_size3
0.4 |0.4 |dropout0
0.4 |0.4 |dropout1
0 |0 |dropout2
0.2 |0.2 |dropout3
[2K
[2K
Trial 1 Complete [00h 00m 05s]
val_loss: 19.415027618408203
Best val_loss So Far: 19.415027618408203
Total elapsed time: 00h 00m 05s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
3 |4 |n_layers
32 |64 |filter_unit0
128 |256 |filter_unit1
64 |32 |filter_unit2
5 |4 |kernel_size0
4 |1 |kernel_size1
3 |2 |kernel_size2
2 |2 |pool_size0
5 |4 |pool_size1
3 |2 |pool_size2
3 |5 |stride_size0
4 |4 |stride_size1
5 |2 |stride_size2
0.3 |0.4 |dropout0
0.1 |0.4 |dropout1
0.4 |0 |dropout2
[2K
[2K
Trial 2 Complete [00h 00m 04s]
val_loss: 19.5122013092041
Best val_loss So Far: 19.415027618408203
Total elapsed time: 00h 00m 09s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
1 |4 |n_layers
128 |64 |filter_unit0
2 |4 |kernel_size0
5 |2 |pool_size0
4 |5 |stride_size0
0.2 |0.4 |dropout0
[2K
[2K
Trial 3 Complete [00h 00m 03s]
val_loss: 19.257219314575195
Best val_loss So Far: 19.257219314575195
Total elapsed time: 00h 00m 12s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
64 |128 |filter_unit0
1 |2 |kernel_size0
1 |5 |pool_size0
1 |4 |stride_size0
0.3 |0.2 |dropout0
[2K
[2K
Trial 4 Complete [00h 00m 02s]
val_loss: 18.881528854370117
Best val_loss So Far: 18.881528854370117
Total elapsed time: 00h 00m 14s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
128 |64 |filter_unit0
32 |None |filter_unit1
64 |None |filter_unit2
32 |None |filter_unit3
2 |1 |kernel_size0
2 |None |kernel_size1
5 |None |kernel_size2
4 |None |kernel_size3
5 |1 |pool_size0
2 |None |pool_size1
1 |None |pool_size2
5 |None |pool_size3
3 |1 |stride_size0
1 |None |stride_size1
2 |None |stride_size2
5 |None |stride_size3
0 |0.3 |dropout0
0 |None |dropout1
0.4 |None |dropout2
0.4 |None |dropout3
[2K
[2K
Trial 5 Complete [00h 00m 04s]
val_loss: 19.2950496673584
Best val_loss So Far: 18.881528854370117
Total elapsed time: 00h 00m 18s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
128 |64 |filter_unit0
256 |None |filter_unit1
5 |1 |kernel_size0
2 |None |kernel_size1
2 |1 |pool_size0
2 |None |pool_size1
5 |1 |stride_size0
1 |None |stride_size1
0.4 |0.3 |dropout0
0.4 |None |dropout1
[2K
[2K
Trial 6 Complete [00h 00m 03s]
val_loss: 19.626785278320312
Best val_loss So Far: 18.881528854370117
Total elapsed time: 00h 00m 21s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
32 |64 |filter_unit0
64 |None |filter_unit1
64 |None |filter_unit2
4 |1 |kernel_size0
1 |None |kernel_size1
1 |None |kernel_size2
2 |1 |pool_size0
5 |None |pool_size1
5 |None |pool_size2
3 |1 |stride_size0
4 |None |stride_size1
2 |None |stride_size2
0.2 |0.3 |dropout0
0.4 |None |dropout1
0.3 |None |dropout2
[2K
[2K
Trial 7 Complete [00h 00m 03s]
val_loss: 18.306991577148438
Best val_loss So Far: 18.306991577148438
Total elapsed time: 00h 00m 25s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
3 |3 |n_layers
64 |32 |filter_unit0
64 |64 |filter_unit1
128 |64 |filter_unit2
1 |4 |kernel_size0
2 |1 |kernel_size1
5 |1 |kernel_size2
4 |2 |pool_size0
2 |5 |pool_size1
4 |5 |pool_size2
1 |3 |stride_size0
4 |4 |stride_size1
1 |2 |stride_size2
0 |0.2 |dropout0
0 |0.4 |dropout1
0.3 |0.3 |dropout2
[2K
[2K
Trial 8 Complete [00h 00m 03s]
val_loss: 19.23228645324707
Best val_loss So Far: 18.306991577148438
Total elapsed time: 00h 00m 28s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
2 |3 |n_layers
128 |32 |filter_unit0
128 |64 |filter_unit1
4 |4 |kernel_size0
4 |1 |kernel_size1
3 |2 |pool_size0
2 |5 |pool_size1
4 |3 |stride_size0
2 |4 |stride_size1
0 |0.2 |dropout0
0.3 |0.4 |dropout1
[2K
[2K
Trial 9 Complete [00h 00m 03s]
val_loss: 18.696434020996094
Best val_loss So Far: 18.306991577148438
Total elapsed time: 00h 00m 31s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
3 |3 |n_layers
32 |32 |filter_unit0
256 |64 |filter_unit1
64 |64 |filter_unit2
1 |4 |kernel_size0
4 |1 |kernel_size1
3 |1 |kernel_size2
3 |2 |pool_size0
4 |5 |pool_size1
3 |5 |pool_size2
5 |3 |stride_size0
1 |4 |stride_size1
2 |2 |stride_size2
0.2 |0.2 |dropout0
0.4 |0.4 |dropout1
0.1 |0.3 |dropout2
[2K
[2K
Trial 10 Complete [00h 00m 03s]
val_loss: 19.669767379760742
Best val_loss So Far: 18.306991577148438
Total elapsed time: 00h 00m 34s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
2 |3 |n_layers
32 |32 |filter_unit0
32 |64 |filter_unit1
1 |4 |kernel_size0
1 |1 |kernel_size1
3 |2 |pool_size0
2 |5 |pool_size1
4 |3 |stride_size0
3 |4 |stride_size1
0.4 |0.2 |dropout0
0.3 |0.4 |dropout1
[2K
[2K
Trial 11 Complete [00h 00m 02s]
val_loss: 17.933759689331055
Best val_loss So Far: 17.933759689331055
Total elapsed time: 00h 00m 37s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
3 |2 |n_layers
32 |32 |filter_unit0
128 |32 |filter_unit1
64 |None |filter_unit2
4 |1 |kernel_size0
3 |1 |kernel_size1
4 |None |kernel_size2
2 |3 |pool_size0
1 |2 |pool_size1
3 |None |pool_size2
3 |4 |stride_size0
1 |3 |stride_size1
2 |None |stride_size2
0.3 |0.4 |dropout0
0.2 |0.3 |dropout1
0.2 |None |dropout2
[2K
[2K
Trial 12 Complete [00h 00m 05s]
val_loss: 19.410966873168945
Best val_loss So Far: 17.933759689331055
Total elapsed time: 00h 00m 42s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
1 |2 |n_layers
64 |32 |filter_unit0
1 |1 |kernel_size0
1 |3 |pool_size0
1 |4 |stride_size0
0.2 |0.4 |dropout0
[2K
[2K
Trial 13 Complete [00h 00m 03s]
val_loss: 20.0108585357666
Best val_loss So Far: 17.933759689331055
Total elapsed time: 00h 00m 45s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
4 |2 |n_layers
128 |32 |filter_unit0
128 |32 |filter_unit1
64 |None |filter_unit2
128 |None |filter_unit3
2 |1 |kernel_size0
4 |1 |kernel_size1
5 |None |kernel_size2
3 |None |kernel_size3
4 |3 |pool_size0
3 |2 |pool_size1
1 |None |pool_size2
3 |None |pool_size3
3 |4 |stride_size0
3 |3 |stride_size1
4 |None |stride_size2
5 |None |stride_size3
0.3 |0.4 |dropout0
0 |0.3 |dropout1
0 |None |dropout2
0.2 |None |dropout3
[2K
[2K
Trial 14 Complete [00h 00m 05s]
val_loss: 19.388113021850586
Best val_loss So Far: 17.933759689331055
Total elapsed time: 00h 00m 51s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
2 |2 |n_layers
32 |32 |filter_unit0
32 |32 |filter_unit1
3 |1 |kernel_size0
4 |1 |kernel_size1
1 |3 |pool_size0
5 |2 |pool_size1
1 |4 |stride_size0
1 |3 |stride_size1
0.4 |0.4 |dropout0
0.3 |0.3 |dropout1
[2K
[2K
Trial 15 Complete [00h 00m 03s]
val_loss: 20.799497604370117
Best val_loss So Far: 17.933759689331055
Total elapsed time: 00h 00m 54s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
2 |2 |n_layers
128 |32 |filter_unit0
64 |32 |filter_unit1
5 |1 |kernel_size0
5 |1 |kernel_size1
5 |3 |pool_size0
3 |2 |pool_size1
3 |4 |stride_size0
3 |3 |stride_size1
0.1 |0.4 |dropout0
0 |0.3 |dropout1
[2K
[2K
Trial 16 Complete [00h 00m 03s]
val_loss: 19.640119552612305
Best val_loss So Far: 17.933759689331055
Total elapsed time: 00h 00m 57s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
3 |2 |n_layers
256 |32 |filter_unit0
32 |32 |filter_unit1
256 |None |filter_unit2
5 |1 |kernel_size0
4 |1 |kernel_size1
4 |None |kernel_size2
1 |3 |pool_size0
3 |2 |pool_size1
4 |None |pool_size2
4 |4 |stride_size0
1 |3 |stride_size1
5 |None |stride_size2
0.4 |0.4 |dropout0
0.1 |0.3 |dropout1
0.3 |None |dropout2
[2K
[2K
Trial 17 Complete [00h 00m 04s]
val_loss: 19.202680587768555
Best val_loss So Far: 17.933759689331055
Total elapsed time: 00h 01m 01s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
5 |2 |n_layers
64 |32 |filter_unit0
256 |32 |filter_unit1
256 |None |filter_unit2
32 |None |filter_unit3
128 |None |filter_unit4
1 |1 |kernel_size0
1 |1 |kernel_size1
5 |None |kernel_size2
3 |None |kernel_size3
4 |None |kernel_size4
4 |3 |pool_size0
3 |2 |pool_size1
5 |None |pool_size2
2 |None |pool_size3
4 |None |pool_size4
2 |4 |stride_size0
5 |3 |stride_size1
2 |None |stride_size2
2 |None |stride_size3
1 |None |stride_size4
0.2 |0.4 |dropout0
0.3 |0.3 |dropout1
0 |None |dropout2
0.4 |None |dropout3
0.3 |None |dropout4
[2K
[2K
Trial 18 Complete [00h 00m 05s]
val_loss: 19.411518096923828
Best val_loss So Far: 17.933759689331055
Total elapsed time: 00h 01m 06s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
3 |2 |n_layers
128 |32 |filter_unit0
256 |32 |filter_unit1
256 |None |filter_unit2
4 |1 |kernel_size0
2 |1 |kernel_size1
2 |None |kernel_size2
2 |3 |pool_size0
4 |2 |pool_size1
5 |None |pool_size2
4 |4 |stride_size0
1 |3 |stride_size1
2 |None |stride_size2
0.4 |0.4 |dropout0
0.3 |0.3 |dropout1
0.2 |None |dropout2
[2K
[2K
Trial 19 Complete [00h 00m 04s]
val_loss: 18.71049690246582
Best val_loss So Far: 17.933759689331055
Total elapsed time: 00h 01m 10s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
1 |2 |n_layers
256 |32 |filter_unit0
4 |1 |kernel_size0
1 |3 |pool_size0
2 |4 |stride_size0
0 |0.4 |dropout0
[2K
[2K
Trial 20 Complete [00h 00m 03s]
val_loss: 19.765493392944336
Best val_loss So Far: 17.933759689331055
Total elapsed time: 00h 01m 13s
{'n_layers': 2, 'filter_unit0': 32, 'filter_unit1': 32, 'kernel_size0': 1, 'kernel_size1': 1, 'pool_size0': 3, 'pool_size1': 2, 'stride_size0': 4, 'stride_size1': 3, 'dropout0': 0.4, 'dropout1': 0.30000000000000004}
Epoch 1/200
1/4 [======>.......................] - ETA: 4s - loss: 15.6895
4/4 [==============================] - ETA: 0s - loss: 15.6372WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 2s 22ms/step - loss: 15.6372 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 15.0069WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 15.2412 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 14.1880WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 15.0876 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 14.7603WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 15.0485 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 13.8228WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 15.0435 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 14.9222WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 14.9436 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 14.5832WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 14.6021 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 14.7241WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 14.1612 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 15.5920WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 14.3184 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 13.4507WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 14.2460 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 15.4959WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 13.8289 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 14.1931WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 13.7929 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 13.2262WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 13.6489 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 14.4193WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 13.4829 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 13.8757WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 13.5494 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 12.3536WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 13.4805 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 13.6329WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 13.2923 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 13.6182WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 12.8571 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 12.9121WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 12.6390 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 12.6908WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 12.7581 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 11.4770WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 12.4032 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 12.7307WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 12.6934 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 12.4566WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 11.8879 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 11.1557WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 12.1552 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 12.7338WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 12.0264 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 11.3069WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 11.8465 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 11.7910WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 11.7118 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 12.1831WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 11.6178 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 11.1794WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 11.4258 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 10.8665WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 11.3499 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 11.7037WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 11.5964 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 10.6719WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 10.9391 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 11.7801WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 11.0040 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 12.2433WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 10.6235 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 9.7674WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 10.6940 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 12.3545WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 10.9223 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 8.6489WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 10.1794 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 11.2004WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 10.3929 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 10.7218WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 10.4193 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 9.9325WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 10.1166 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 9.7070WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 10.0365 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 10.4670WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 9.9278 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 10.2032WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 9.8709 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 10.5111WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 9.7448 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 10.9896WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 9.8410 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 10.5933WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 9.5843 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 10.1600WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 9.4100 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 10.3303WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 9.6735 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 10.4106WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 9.4929 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 9.6565WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 8.9266 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 9.1282WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 9.2640 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 7.8268WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 9.1991 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 10.2691WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 9.0053 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 9.0542WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 9.0085 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 8.1765WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 8.7887 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 8.6033WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 8.6647 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 7.8961WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 8.6146 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 8.6863WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 8.3607 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 8.8682WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 8.6044 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 8.0896WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.8854 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 7.3844WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 8.2394 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 7.8312WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.9586 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 8.1272WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 8.0557 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 7.5619WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.7965 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 7.0157WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.5331 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 8.3722WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.8093 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 7.5133WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.5590 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 7.5621WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.5608 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 7.1381WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.5271 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 7.7154WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.5882 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 6.7326WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.3265 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 6.5284WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.9958 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 8.0057WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.3049 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 7.6822WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.2995 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 7.7075WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.8745 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 6.5445WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.2171 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 7.0840WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.0017 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 6.6494WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.4231 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 6.9401WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.0911 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 7.2288WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.6362 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 6.8446WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.9143 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8950WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.4920 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 6.5912WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.4341 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 6.9690WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.8503 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 5.5549WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.1260 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 6.6566WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.4530 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 6.6370WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.0737 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 6.5775WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.6096 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 6.2408WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.3982 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1168WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.3224 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8400WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.9510 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 7.0374WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.8247 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 5.7775WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.8876 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5408WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.8537 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 5.9911WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.7216 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 5.6428WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.9903 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1399WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.6483 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 5.9297WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.7449 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 6.2008WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.6091 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 6.1402WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.5424 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 5.9005WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.8125 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 5.6176WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.2689 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 6.2468WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.5823 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 5.9367WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.6941 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9493WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.4951 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2323WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.4326 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 5.5134WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.4764 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0204WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.3944 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8105WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.5872 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8345WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.1286 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 5.6004WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.9390 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8212WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.5616 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4926WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.4103 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5417WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.3908 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5931WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.4300 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4022WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.2755 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2769WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.3876 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3640WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.7539 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6148WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.3261 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 5.7827WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.2661 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1191WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.1937 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3644WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.1414 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4247WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.5151 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9986WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.4944 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9934WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.7064 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1878WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.5778 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8733WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.2112 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2763WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.0689 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8355WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.2214 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 5.9210WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.5028 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0780WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.1368 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 5.6814WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.4712 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 5.7068WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.3461 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8392WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.4130 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4524WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.5578 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 6.3417WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.1220 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 5.7004WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.4349 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5901WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.3785 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 5.5257WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.5104 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9483WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.7653 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7768WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.1335 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 6.1194WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.4508 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 6.0394WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.4090 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 6.3504WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.4946 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 5.5966WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.6512 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 5.5055WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.5209 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4908WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.9934 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8856WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.3255 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9355WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.4650 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4023WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.2619 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 5.5776WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.3840 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 6.1372WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.5152 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 5.9818WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.0473 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4292WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.1282 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9025WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.2702 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1943WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.0616 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 5.9031WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.2311 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2603WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.4244 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 5.7340WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.2516 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 5.6061WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.3626 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 5.9913WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.5386 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8951WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.6295 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8073WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.1817 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4740WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.9504 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4597WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.4991 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 5.5714WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.3900 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8210WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.3867 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6111WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.2673 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9508WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.4067 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 5.7625WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.3303 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4874WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.0332 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 6.4197WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.5141 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4732WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.2911 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 6.3745WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.3470 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1641WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.3816 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4645WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.4055 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4429WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.3888 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 5.5013WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.6076 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 5.7601WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.3723 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1989WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.1713 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 6.0492WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.2139 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3951WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.2177 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9875WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.2984 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3368WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.2843 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 6.2267WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.4564 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1262WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.3591 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 5.5318WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.2048 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 6.1455WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.6971 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9511WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.4799 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8026WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.0036 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 5.7390WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.2928 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4133WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.2916 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2418WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.9391 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 5.9922WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.6160 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 5.5612WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.1302 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 5.9267WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.4211 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0499WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.3803 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0692WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.1286 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 6.3629WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.5260 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 6.2496WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.2947 - lr: 4.5400e-09
{'n_layers': 2, 'filter_unit0': 32, 'filter_unit1': 32, 'kernel_size0': 1, 'kernel_size1': 1, 'pool_size0': 3, 'pool_size1': 2, 'stride_size0': 4, 'stride_size1': 3, 'dropout0': 0.4, 'dropout1': 0.30000000000000004}
1/39 [..............................] - ETA: 7s
36/39 [==========================>...] - ETA: 0s
39/39 [==============================] - 0s 2ms/step
WARNING:tensorflow:Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
adding new entry
subject config_id mdl_str ... r2 pearsonr_coeff pearsonr_pval
0 Pilot02 0 linreg ... -9.864563 0.038776 0.364940
1 Pilot02 0 linreg ... -11.875765 0.070097 0.101171
2 Pilot02 0 linreg ... -11.069278 0.047023 0.271822
3 Pilot02 0 linreg ... -25.345517 0.016892 0.693177
4 Pilot02 0 linreg ... -15.299470 0.118749 0.005380
.. ... ... ... ... ... ... ...
455 Pilot02 1 cnn1d ... -4.806197 -0.019540 0.490757
456 Pilot03 1 cnn1d ... -0.386144 -0.051391 0.108238
457 Pilot02 1 cnn1d ... -6.263671 -0.052925 0.061815
458 Pilot03 1 cnn1d ... -1.377582 -0.081989 0.010315
459 Pilot02 1 cnn1d ... -11.804572 0.041114 0.146944
[460 rows x 18 columns]
imu-bvp_rr_Pilot02_id1_combi5.0-7.0-12.0-17.0-20.0
train
(35921, 11)
test
(364536, 10)
---CNN1D---
input shape: (1440, 7)
x shape: (110, 1440, 7)
Search: Running Trial #1
Value |Best Value So Far |Hyperparameter
3 |3 |n_layers
128 |128 |filter_unit0
128 |128 |filter_unit1
128 |128 |filter_unit2
5 |5 |kernel_size0
2 |2 |kernel_size1
4 |4 |kernel_size2
2 |2 |pool_size0
5 |5 |pool_size1
2 |2 |pool_size2
2 |2 |stride_size0
1 |1 |stride_size1
3 |3 |stride_size2
0.3 |0.3 |dropout0
0 |0 |dropout1
0.4 |0.4 |dropout2
[2K
[2K
Trial 1 Complete [00h 00m 04s]
val_loss: 20.28356170654297
Best val_loss So Far: 20.28356170654297
Total elapsed time: 00h 00m 04s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
4 |3 |n_layers
64 |128 |filter_unit0
128 |128 |filter_unit1
256 |128 |filter_unit2
256 |None |filter_unit3
4 |5 |kernel_size0
2 |2 |kernel_size1
2 |4 |kernel_size2
2 |None |kernel_size3
4 |2 |pool_size0
5 |5 |pool_size1
4 |2 |pool_size2
1 |None |pool_size3
2 |2 |stride_size0
5 |1 |stride_size1
4 |3 |stride_size2
3 |None |stride_size3
0 |0.3 |dropout0
0.4 |0 |dropout1
0.3 |0.4 |dropout2
0 |None |dropout3
[2K
[2K
Trial 2 Complete [00h 00m 05s]
val_loss: 19.547264099121094
Best val_loss So Far: 19.547264099121094
Total elapsed time: 00h 00m 09s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
2 |4 |n_layers
32 |64 |filter_unit0
128 |128 |filter_unit1
4 |4 |kernel_size0
2 |2 |kernel_size1
3 |4 |pool_size0
4 |5 |pool_size1
1 |2 |stride_size0
5 |5 |stride_size1
0.3 |0 |dropout0
0.2 |0.4 |dropout1
[2K
[2K
Trial 3 Complete [00h 00m 03s]
val_loss: 19.182321548461914
Best val_loss So Far: 19.182321548461914
Total elapsed time: 00h 00m 12s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
5 |2 |n_layers
256 |32 |filter_unit0
32 |128 |filter_unit1
128 |None |filter_unit2
64 |None |filter_unit3
64 |None |filter_unit4
3 |4 |kernel_size0
1 |2 |kernel_size1
3 |None |kernel_size2
4 |None |kernel_size3
4 |None |kernel_size4
2 |3 |pool_size0
1 |4 |pool_size1
5 |None |pool_size2
1 |None |pool_size3
1 |None |pool_size4
4 |1 |stride_size0
5 |5 |stride_size1
1 |None |stride_size2
3 |None |stride_size3
4 |None |stride_size4
0.4 |0.3 |dropout0
0.2 |0.2 |dropout1
0.1 |None |dropout2
0.4 |None |dropout3
0 |None |dropout4
[2K
[2K
Trial 4 Complete [00h 00m 05s]
val_loss: 19.96348762512207
Best val_loss So Far: 19.182321548461914
Total elapsed time: 00h 00m 17s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
2 |2 |n_layers
128 |32 |filter_unit0
128 |128 |filter_unit1
2 |4 |kernel_size0
1 |2 |kernel_size1
3 |3 |pool_size0
3 |4 |pool_size1
4 |1 |stride_size0
4 |5 |stride_size1
0.3 |0.3 |dropout0
0.1 |0.2 |dropout1
[2K
[2K
Trial 5 Complete [00h 00m 03s]
val_loss: 22.00255584716797
Best val_loss So Far: 19.182321548461914
Total elapsed time: 00h 00m 21s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
3 |2 |n_layers
128 |32 |filter_unit0
32 |128 |filter_unit1
64 |None |filter_unit2
4 |4 |kernel_size0
1 |2 |kernel_size1
4 |None |kernel_size2
4 |3 |pool_size0
4 |4 |pool_size1
3 |None |pool_size2
2 |1 |stride_size0
3 |5 |stride_size1
4 |None |stride_size2
0.2 |0.3 |dropout0
0.2 |0.2 |dropout1
0 |None |dropout2
[2K
[2K
Trial 6 Complete [00h 00m 04s]
val_loss: 19.377904891967773
Best val_loss So Far: 19.182321548461914
Total elapsed time: 00h 00m 25s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
1 |2 |n_layers
128 |32 |filter_unit0
1 |4 |kernel_size0
4 |3 |pool_size0
3 |1 |stride_size0
0.1 |0.3 |dropout0
[2K
[2K
Trial 7 Complete [00h 00m 02s]
val_loss: 20.71263885498047
Best val_loss So Far: 19.182321548461914
Total elapsed time: 00h 00m 27s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
4 |2 |n_layers
32 |32 |filter_unit0
256 |128 |filter_unit1
128 |None |filter_unit2
128 |None |filter_unit3
4 |4 |kernel_size0
4 |2 |kernel_size1
1 |None |kernel_size2
1 |None |kernel_size3
5 |3 |pool_size0
1 |4 |pool_size1
3 |None |pool_size2
3 |None |pool_size3
3 |1 |stride_size0
2 |5 |stride_size1
1 |None |stride_size2
2 |None |stride_size3
0 |0.3 |dropout0
0.2 |0.2 |dropout1
0.2 |None |dropout2
0.4 |None |dropout3
[2K
[2K
Trial 8 Complete [00h 00m 04s]
val_loss: 19.63847541809082
Best val_loss So Far: 19.182321548461914
Total elapsed time: 00h 00m 31s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
1 |2 |n_layers
64 |32 |filter_unit0
1 |4 |kernel_size0
3 |3 |pool_size0
2 |1 |stride_size0
0.3 |0.3 |dropout0
[2K
[2K
Trial 9 Complete [00h 00m 02s]
val_loss: 19.113662719726562
Best val_loss So Far: 19.113662719726562
Total elapsed time: 00h 00m 34s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
32 |64 |filter_unit0
32 |None |filter_unit1
32 |None |filter_unit2
4 |1 |kernel_size0
2 |None |kernel_size1
3 |None |kernel_size2
4 |3 |pool_size0
2 |None |pool_size1
1 |None |pool_size2
2 |2 |stride_size0
1 |None |stride_size1
4 |None |stride_size2
0 |0.3 |dropout0
0 |None |dropout1
0 |None |dropout2
[2K
[2K
Trial 10 Complete [00h 00m 04s]
val_loss: 20.750940322875977
Best val_loss So Far: 19.113662719726562
Total elapsed time: 00h 00m 38s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
128 |64 |filter_unit0
128 |None |filter_unit1
2 |1 |kernel_size0
1 |None |kernel_size1
3 |3 |pool_size0
3 |None |pool_size1
1 |2 |stride_size0
4 |None |stride_size1
0.3 |0.3 |dropout0
0.4 |None |dropout1
[2K
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0076s vs `on_train_batch_end` time: 0.0078s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0076s vs `on_train_batch_end` time: 0.0078s). Check your callbacks.
[2K
Trial 11 Complete [00h 00m 04s]
val_loss: 19.833415985107422
Best val_loss So Far: 19.113662719726562
Total elapsed time: 00h 00m 41s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
256 |64 |filter_unit0
5 |1 |kernel_size0
3 |3 |pool_size0
1 |2 |stride_size0
0.2 |0.3 |dropout0
[2K
[2K
Trial 12 Complete [00h 00m 03s]
val_loss: 20.196489334106445
Best val_loss So Far: 19.113662719726562
Total elapsed time: 00h 00m 44s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
32 |64 |filter_unit0
3 |1 |kernel_size0
3 |3 |pool_size0
2 |2 |stride_size0
0.3 |0.3 |dropout0
[2K
[2K
Trial 13 Complete [00h 00m 02s]
val_loss: 19.00768280029297
Best val_loss So Far: 19.00768280029297
Total elapsed time: 00h 00m 46s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
128 |32 |filter_unit0
32 |None |filter_unit1
64 |None |filter_unit2
256 |None |filter_unit3
3 |3 |kernel_size0
3 |None |kernel_size1
1 |None |kernel_size2
3 |None |kernel_size3
5 |3 |pool_size0
2 |None |pool_size1
2 |None |pool_size2
5 |None |pool_size3
5 |2 |stride_size0
3 |None |stride_size1
1 |None |stride_size2
1 |None |stride_size3
0.1 |0.3 |dropout0
0.4 |None |dropout1
0.2 |None |dropout2
0.2 |None |dropout3
[2K
[2K
Trial 14 Complete [00h 00m 05s]
val_loss: 19.716772079467773
Best val_loss So Far: 19.00768280029297
Total elapsed time: 00h 00m 51s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
256 |32 |filter_unit0
256 |None |filter_unit1
128 |None |filter_unit2
128 |None |filter_unit3
128 |None |filter_unit4
1 |3 |kernel_size0
1 |None |kernel_size1
1 |None |kernel_size2
5 |None |kernel_size3
1 |None |kernel_size4
1 |3 |pool_size0
5 |None |pool_size1
4 |None |pool_size2
2 |None |pool_size3
1 |None |pool_size4
5 |2 |stride_size0
5 |None |stride_size1
1 |None |stride_size2
4 |None |stride_size3
4 |None |stride_size4
0.2 |0.3 |dropout0
0 |None |dropout1
0.1 |None |dropout2
0.4 |None |dropout3
0.1 |None |dropout4
[2K
[2K
Trial 15 Complete [00h 00m 05s]
val_loss: 20.112279891967773
Best val_loss So Far: 19.00768280029297
Total elapsed time: 00h 00m 56s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
32 |32 |filter_unit0
32 |None |filter_unit1
128 |None |filter_unit2
5 |3 |kernel_size0
2 |None |kernel_size1
4 |None |kernel_size2
1 |3 |pool_size0
3 |None |pool_size1
1 |None |pool_size2
5 |2 |stride_size0
4 |None |stride_size1
4 |None |stride_size2
0.2 |0.3 |dropout0
0.2 |None |dropout1
0.2 |None |dropout2
[2K
[2K
Trial 16 Complete [00h 00m 03s]
val_loss: 20.05687713623047
Best val_loss So Far: 19.00768280029297
Total elapsed time: 00h 01m 00s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
128 |32 |filter_unit0
32 |None |filter_unit1
64 |None |filter_unit2
256 |None |filter_unit3
64 |None |filter_unit4
4 |3 |kernel_size0
1 |None |kernel_size1
3 |None |kernel_size2
3 |None |kernel_size3
3 |None |kernel_size4
3 |3 |pool_size0
4 |None |pool_size1
4 |None |pool_size2
1 |None |pool_size3
4 |None |pool_size4
1 |2 |stride_size0
1 |None |stride_size1
2 |None |stride_size2
5 |None |stride_size3
4 |None |stride_size4
0.2 |0.3 |dropout0
0.4 |None |dropout1
0.3 |None |dropout2
0.2 |None |dropout3
0.3 |None |dropout4
[2K
[2K
Trial 17 Complete [00h 00m 05s]
val_loss: 20.029399871826172
Best val_loss So Far: 19.00768280029297
Total elapsed time: 00h 01m 05s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
128 |32 |filter_unit0
256 |None |filter_unit1
256 |None |filter_unit2
32 |None |filter_unit3
2 |3 |kernel_size0
2 |None |kernel_size1
1 |None |kernel_size2
1 |None |kernel_size3
2 |3 |pool_size0
5 |None |pool_size1
1 |None |pool_size2
4 |None |pool_size3
2 |2 |stride_size0
3 |None |stride_size1
4 |None |stride_size2
2 |None |stride_size3
0.4 |0.3 |dropout0
0 |None |dropout1
0.4 |None |dropout2
0.2 |None |dropout3
[2K
[2K
Trial 18 Complete [00h 00m 05s]
val_loss: 19.965970993041992
Best val_loss So Far: 19.00768280029297
Total elapsed time: 00h 01m 10s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
128 |32 |filter_unit0
32 |None |filter_unit1
128 |None |filter_unit2
32 |None |filter_unit3
256 |None |filter_unit4
3 |3 |kernel_size0
2 |None |kernel_size1
5 |None |kernel_size2
5 |None |kernel_size3
3 |None |kernel_size4
1 |3 |pool_size0
3 |None |pool_size1
2 |None |pool_size2
5 |None |pool_size3
2 |None |pool_size4
3 |2 |stride_size0
5 |None |stride_size1
4 |None |stride_size2
2 |None |stride_size3
4 |None |stride_size4
0.1 |0.3 |dropout0
0.4 |None |dropout1
0.4 |None |dropout2
0.2 |None |dropout3
0 |None |dropout4
[2K
[2K
Trial 19 Complete [00h 00m 06s]
val_loss: 19.830352783203125
Best val_loss So Far: 19.00768280029297
Total elapsed time: 00h 01m 16s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
128 |32 |filter_unit0
128 |None |filter_unit1
256 |None |filter_unit2
256 |None |filter_unit3
64 |None |filter_unit4
3 |3 |kernel_size0
3 |None |kernel_size1
2 |None |kernel_size2
1 |None |kernel_size3
2 |None |kernel_size4
1 |3 |pool_size0
3 |None |pool_size1
4 |None |pool_size2
4 |None |pool_size3
3 |None |pool_size4
5 |2 |stride_size0
4 |None |stride_size1
5 |None |stride_size2
4 |None |stride_size3
5 |None |stride_size4
0.1 |0.3 |dropout0
0 |None |dropout1
0.2 |None |dropout2
0.4 |None |dropout3
0 |None |dropout4
[2K
[2K
Trial 20 Complete [00h 00m 05s]
val_loss: 19.973634719848633
Best val_loss So Far: 19.00768280029297
Total elapsed time: 00h 01m 21s
{'n_layers': 1, 'filter_unit0': 32, 'kernel_size0': 3, 'pool_size0': 3, 'stride_size0': 2, 'dropout0': 0.30000000000000004}
Epoch 1/200
1/4 [======>.......................] - ETA: 2s - loss: 9.7654WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 1s 10ms/step - loss: 9.5690 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 10.2115WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 9.3079 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 9.6450WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 9.0129 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 8.6226WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 8.9651 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 7.7854WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 8.6462 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 8.1494WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 8.5032 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 6.8417WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 8.2750 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 9.4203WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 8.1906 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 7.7705WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.9402 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 7.1357WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.8399 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 7.1550WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.6655 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 8.2099WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.5784 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 7.1601WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.4346 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 8.8109WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.2222 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 6.2672WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.9882 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 6.2993WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.0403 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 6.4575WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.9074 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 8.4952WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.8034 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 7.7178WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.8036 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 6.9174WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.7022 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6239WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.5153 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 7.6591WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.4705 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 8.1222WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.5378 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 7.0926WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.4259 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 7.8990WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.5492 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 6.6012WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.2794 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8175WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.1633 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 5.9243WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.1563 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 6.2982WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.2136 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 6.3785WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.1978 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 6.2347WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.0246 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 6.8094WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.1184 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 6.4155WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.9443 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 6.9772WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.0475 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 5.9314WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.9843 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6058WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.8353 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 7.3542WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.8868 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 6.6158WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.9309 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2481WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.8171 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 7.0418WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.7983 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2620WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.7660 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 6.6286WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.7343 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 5.6919WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.6957 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 6.5756WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.6422 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 6.1103WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.5914 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2410WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.4262 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 5.7436WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.7777 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0322WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.6499 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5551WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.5431 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 6.7273WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.5299 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3463WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.4670 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4764WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.2742 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0926WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.4881 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1133WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.4020 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 6.3101WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.3349 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4223WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.3704 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 6.0121WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.4813 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9333WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.2459 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1194WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.2975 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0373WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.3176 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9391WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.1009 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2008WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.2486 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2803WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.1716 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 5.7892WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.2429 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0956WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.1716 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8709WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.1987 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0258WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.1602 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 5.6258WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.1054 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3105WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.0763 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3545WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.0037 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8281WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.0331 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4523WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.9516 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7651WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.0047 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 5.6425WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.9719 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3281WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.0784 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9867WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.8129 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 5.7119WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.0001 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7857WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.9008 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2546WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.7740 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 6.0654WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.8295 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0177WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.9319 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7262WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.9366 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0792WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.9258 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 6.0098WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.8409 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7761WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.7729 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1444WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.7400 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3990WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.6236 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4762WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.5776 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7595WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.8303 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9086WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.6191 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8675WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.5286 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7335WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.6168 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1195WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.6253 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1389WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.5998 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3700WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.5641 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4190WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.6519 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0744WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.5433 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0601WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.5044 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 5.9788WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.5651 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1699WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.5208 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8584WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3563 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6520WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.5039 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4702WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.5773 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9341WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.4233 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6290WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.4505 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1603WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.5368 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8249WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.4651 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1114WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3363 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2216WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.4544 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2622WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.4595 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1835WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3258 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4044WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.4286 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6637WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.4233 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6583WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3193 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0358WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.2847 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7887WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3798 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6113WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3142 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6444WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.2789 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8937WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3635 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2962WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3998 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3741WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.2486 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4749WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.2867 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6442WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.2011 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6208WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.2414 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4799WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3609 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3293WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3784 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9100WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.1953 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3963WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3987 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4122WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3187 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7457WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.4370 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0585WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3259 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8617WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.4428 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7319WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.2825 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3375WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3780 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0769WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3342 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0409WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3702 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2982WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3029 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5358WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.4502 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4849WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.2914 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1405WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3505 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8932WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.2764 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2452WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.1991 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5397WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3519 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9076WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3584 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5353WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.2254 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1307WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.2384 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6120WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.2028 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6970WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.5041 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4793WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.4057 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9125WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.2775 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9318WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.2863 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6838WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3318 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9442WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.2080 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8310WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3806 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 5.5871WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3387 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6293WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3328 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6166WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3656 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2559WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.2585 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5765WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3328 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5659WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3783 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3565WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3439 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4866WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.2535 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5205WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3485 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1982WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.2825 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4334WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3014 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0917WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.2944 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8044WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.2843 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1478WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3694 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2032WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3182 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3971WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3387 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8040WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.2922 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4248WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3575 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4286WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.2791 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8090WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3260 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1252WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3158 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7163WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.2347 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6694WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.1724 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9231WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.2766 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9464WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.2828 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6881WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.2467 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9210WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3013 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8461WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.4215 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7534WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.1984 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7813WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3242 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0649WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3810 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1808WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.1908 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5043WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3446 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5286WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.4404 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6619WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3615 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0220WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.2806 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8515WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3358 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3894WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2555 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1265WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3536 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9716WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.2681 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6882WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3003 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7147WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.3071 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9339WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3719 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2206WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3576 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4291WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3758 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5598WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.2345 - lr: 4.5400e-09
{'n_layers': 1, 'filter_unit0': 32, 'kernel_size0': 3, 'pool_size0': 3, 'stride_size0': 2, 'dropout0': 0.30000000000000004}
1/39 [..............................] - ETA: 4s
37/39 [===========================>..] - ETA: 0s
39/39 [==============================] - 0s 2ms/step
WARNING:tensorflow:Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.13
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.13
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.14
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.14
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.15
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.15
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.16
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.16
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.17
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.17
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.18
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.18
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.19
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.19
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.20
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.20
adding new entry
subject config_id mdl_str ... r2 pearsonr_coeff pearsonr_pval
0 Pilot02 0 linreg ... -9.864563 0.038776 0.364940
1 Pilot02 0 linreg ... -11.875765 0.070097 0.101171
2 Pilot02 0 linreg ... -11.069278 0.047023 0.271822
3 Pilot02 0 linreg ... -25.345517 0.016892 0.693177
4 Pilot02 0 linreg ... -15.299470 0.118749 0.005380
.. ... ... ... ... ... ... ...
457 Pilot02 1 cnn1d ... -6.263671 -0.052925 0.061815
458 Pilot03 1 cnn1d ... -1.377582 -0.081989 0.010315
459 Pilot02 1 cnn1d ... -11.804572 0.041114 0.146944
460 Pilot03 1 cnn1d ... -1.740378 -0.073931 0.020763
461 Pilot02 1 cnn1d ... -6.092478 0.009035 0.750009
[462 rows x 18 columns]
imu-bvp_rr_Pilot02_id1_combi5.0-7.0-15.0-17.0-20.0
train
(35921, 11)
test
(364536, 10)
---CNN1D---
input shape: (1440, 7)
x shape: (115, 1440, 7)
Search: Running Trial #1
Value |Best Value So Far |Hyperparameter
5 |5 |n_layers
128 |128 |filter_unit0
64 |64 |filter_unit1
32 |32 |filter_unit2
32 |32 |filter_unit3
128 |128 |filter_unit4
2 |2 |kernel_size0
2 |2 |kernel_size1
1 |1 |kernel_size2
1 |1 |kernel_size3
3 |3 |kernel_size4
3 |3 |pool_size0
3 |3 |pool_size1
4 |4 |pool_size2
3 |3 |pool_size3
4 |4 |pool_size4
1 |1 |stride_size0
5 |5 |stride_size1
3 |3 |stride_size2
3 |3 |stride_size3
2 |2 |stride_size4
0.3 |0.3 |dropout0
0.4 |0.4 |dropout1
0.1 |0.1 |dropout2
0.4 |0.4 |dropout3
0.3 |0.3 |dropout4
[2K
[2K
Trial 1 Complete [00h 00m 06s]
val_loss: 19.537294387817383
Best val_loss So Far: 19.537294387817383
Total elapsed time: 00h 00m 06s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
3 |5 |n_layers
64 |128 |filter_unit0
256 |64 |filter_unit1
256 |32 |filter_unit2
2 |2 |kernel_size0
2 |2 |kernel_size1
5 |1 |kernel_size2
4 |3 |pool_size0
4 |3 |pool_size1
3 |4 |pool_size2
3 |1 |stride_size0
4 |5 |stride_size1
4 |3 |stride_size2
0.2 |0.3 |dropout0
0.1 |0.4 |dropout1
0.2 |0.1 |dropout2
[2K
[2K
Trial 2 Complete [00h 00m 04s]
val_loss: 19.500659942626953
Best val_loss So Far: 19.500659942626953
Total elapsed time: 00h 00m 10s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
5 |3 |n_layers
64 |64 |filter_unit0
64 |256 |filter_unit1
64 |256 |filter_unit2
64 |None |filter_unit3
256 |None |filter_unit4
3 |2 |kernel_size0
3 |2 |kernel_size1
2 |5 |kernel_size2
2 |None |kernel_size3
5 |None |kernel_size4
3 |4 |pool_size0
5 |4 |pool_size1
1 |3 |pool_size2
3 |None |pool_size3
2 |None |pool_size4
3 |3 |stride_size0
3 |4 |stride_size1
2 |4 |stride_size2
4 |None |stride_size3
4 |None |stride_size4
0.4 |0.2 |dropout0
0 |0.1 |dropout1
0.3 |0.2 |dropout2
0.2 |None |dropout3
0.1 |None |dropout4
[2K
[2K
Trial 3 Complete [00h 00m 06s]
val_loss: 19.68391227722168
Best val_loss So Far: 19.500659942626953
Total elapsed time: 00h 00m 15s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
5 |3 |n_layers
32 |64 |filter_unit0
64 |256 |filter_unit1
128 |256 |filter_unit2
128 |None |filter_unit3
32 |None |filter_unit4
5 |2 |kernel_size0
4 |2 |kernel_size1
1 |5 |kernel_size2
1 |None |kernel_size3
4 |None |kernel_size4
1 |4 |pool_size0
3 |4 |pool_size1
2 |3 |pool_size2
3 |None |pool_size3
2 |None |pool_size4
2 |3 |stride_size0
3 |4 |stride_size1
5 |4 |stride_size2
1 |None |stride_size3
2 |None |stride_size4
0.4 |0.2 |dropout0
0.4 |0.1 |dropout1
0.4 |0.2 |dropout2
0.4 |None |dropout3
0.2 |None |dropout4
[2K
[2K
Trial 4 Complete [00h 00m 05s]
val_loss: 19.522497177124023
Best val_loss So Far: 19.500659942626953
Total elapsed time: 00h 00m 20s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
4 |3 |n_layers
256 |64 |filter_unit0
64 |256 |filter_unit1
32 |256 |filter_unit2
64 |None |filter_unit3
4 |2 |kernel_size0
2 |2 |kernel_size1
5 |5 |kernel_size2
3 |None |kernel_size3
4 |4 |pool_size0
2 |4 |pool_size1
2 |3 |pool_size2
1 |None |pool_size3
5 |3 |stride_size0
4 |4 |stride_size1
4 |4 |stride_size2
2 |None |stride_size3
0.3 |0.2 |dropout0
0.3 |0.1 |dropout1
0.2 |0.2 |dropout2
0.2 |None |dropout3
[2K
[2K
Trial 5 Complete [00h 00m 05s]
val_loss: 19.609233856201172
Best val_loss So Far: 19.500659942626953
Total elapsed time: 00h 00m 25s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
1 |3 |n_layers
64 |64 |filter_unit0
2 |2 |kernel_size0
2 |4 |pool_size0
3 |3 |stride_size0
0.2 |0.2 |dropout0
[2K
[2K
Trial 6 Complete [00h 00m 03s]
val_loss: 19.344045639038086
Best val_loss So Far: 19.344045639038086
Total elapsed time: 00h 00m 28s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
64 |64 |filter_unit0
256 |None |filter_unit1
256 |None |filter_unit2
1 |2 |kernel_size0
3 |None |kernel_size1
2 |None |kernel_size2
1 |2 |pool_size0
3 |None |pool_size1
2 |None |pool_size2
3 |3 |stride_size0
3 |None |stride_size1
5 |None |stride_size2
0.3 |0.2 |dropout0
0.1 |None |dropout1
0.4 |None |dropout2
[2K
[2K
Trial 7 Complete [00h 00m 04s]
val_loss: 19.793811798095703
Best val_loss So Far: 19.344045639038086
Total elapsed time: 00h 00m 33s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
32 |64 |filter_unit0
32 |None |filter_unit1
128 |None |filter_unit2
128 |None |filter_unit3
64 |None |filter_unit4
1 |2 |kernel_size0
2 |None |kernel_size1
2 |None |kernel_size2
2 |None |kernel_size3
3 |None |kernel_size4
2 |2 |pool_size0
2 |None |pool_size1
5 |None |pool_size2
1 |None |pool_size3
4 |None |pool_size4
2 |3 |stride_size0
4 |None |stride_size1
3 |None |stride_size2
4 |None |stride_size3
5 |None |stride_size4
0 |0.2 |dropout0
0.2 |None |dropout1
0.3 |None |dropout2
0 |None |dropout3
0.2 |None |dropout4
[2K
[2K
Trial 8 Complete [00h 00m 05s]
val_loss: 20.012920379638672
Best val_loss So Far: 19.344045639038086
Total elapsed time: 00h 00m 38s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
256 |64 |filter_unit0
32 |None |filter_unit1
256 |None |filter_unit2
128 |None |filter_unit3
256 |None |filter_unit4
5 |2 |kernel_size0
4 |None |kernel_size1
1 |None |kernel_size2
5 |None |kernel_size3
3 |None |kernel_size4
1 |2 |pool_size0
4 |None |pool_size1
5 |None |pool_size2
1 |None |pool_size3
1 |None |pool_size4
2 |3 |stride_size0
1 |None |stride_size1
5 |None |stride_size2
4 |None |stride_size3
3 |None |stride_size4
0 |0.2 |dropout0
0.2 |None |dropout1
0.2 |None |dropout2
0.4 |None |dropout3
0.3 |None |dropout4
[2K
[2K
Trial 9 Complete [00h 00m 07s]
val_loss: 19.796207427978516
Best val_loss So Far: 19.344045639038086
Total elapsed time: 00h 00m 45s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
32 |64 |filter_unit0
128 |None |filter_unit1
5 |2 |kernel_size0
2 |None |kernel_size1
3 |2 |pool_size0
5 |None |pool_size1
3 |3 |stride_size0
2 |None |stride_size1
0.1 |0.2 |dropout0
0 |None |dropout1
[2K
[2K
Trial 10 Complete [00h 00m 03s]
val_loss: 20.234817504882812
Best val_loss So Far: 19.344045639038086
Total elapsed time: 00h 00m 48s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
64 |64 |filter_unit0
256 |None |filter_unit1
128 |None |filter_unit2
64 |None |filter_unit3
2 |2 |kernel_size0
3 |None |kernel_size1
4 |None |kernel_size2
2 |None |kernel_size3
4 |2 |pool_size0
3 |None |pool_size1
5 |None |pool_size2
3 |None |pool_size3
1 |3 |stride_size0
4 |None |stride_size1
5 |None |stride_size2
5 |None |stride_size3
0.4 |0.2 |dropout0
0.4 |None |dropout1
0 |None |dropout2
0.2 |None |dropout3
[2K
[2K
Trial 11 Complete [00h 00m 06s]
val_loss: 19.36032485961914
Best val_loss So Far: 19.344045639038086
Total elapsed time: 00h 00m 54s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
64 |64 |filter_unit0
64 |None |filter_unit1
256 |None |filter_unit2
128 |None |filter_unit3
256 |None |filter_unit4
5 |2 |kernel_size0
1 |None |kernel_size1
4 |None |kernel_size2
2 |None |kernel_size3
2 |None |kernel_size4
1 |2 |pool_size0
1 |None |pool_size1
3 |None |pool_size2
5 |None |pool_size3
5 |None |pool_size4
5 |3 |stride_size0
2 |None |stride_size1
3 |None |stride_size2
5 |None |stride_size3
1 |None |stride_size4
0 |0.2 |dropout0
0.3 |None |dropout1
0.4 |None |dropout2
0.2 |None |dropout3
0.3 |None |dropout4
[2K
[2K
Trial 12 Complete [00h 00m 05s]
val_loss: 19.752429962158203
Best val_loss So Far: 19.344045639038086
Total elapsed time: 00h 00m 59s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
32 |64 |filter_unit0
5 |2 |kernel_size0
1 |2 |pool_size0
2 |3 |stride_size0
0.4 |0.2 |dropout0
[2K
[2K
Trial 13 Complete [00h 00m 03s]
val_loss: 18.77815055847168
Best val_loss So Far: 18.77815055847168
Total elapsed time: 00h 01m 02s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
64 |32 |filter_unit0
128 |None |filter_unit1
32 |None |filter_unit2
32 |None |filter_unit3
5 |5 |kernel_size0
5 |None |kernel_size1
2 |None |kernel_size2
1 |None |kernel_size3
2 |1 |pool_size0
2 |None |pool_size1
3 |None |pool_size2
1 |None |pool_size3
4 |2 |stride_size0
2 |None |stride_size1
5 |None |stride_size2
5 |None |stride_size3
0.1 |0.4 |dropout0
0.3 |None |dropout1
0.4 |None |dropout2
0.2 |None |dropout3
[2K
[2K
Trial 14 Complete [00h 00m 04s]
val_loss: 19.899141311645508
Best val_loss So Far: 18.77815055847168
Total elapsed time: 00h 01m 06s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
128 |32 |filter_unit0
128 |None |filter_unit1
256 |None |filter_unit2
32 |None |filter_unit3
5 |5 |kernel_size0
1 |None |kernel_size1
5 |None |kernel_size2
5 |None |kernel_size3
1 |1 |pool_size0
5 |None |pool_size1
1 |None |pool_size2
5 |None |pool_size3
3 |2 |stride_size0
1 |None |stride_size1
2 |None |stride_size2
1 |None |stride_size3
0.2 |0.4 |dropout0
0.2 |None |dropout1
0.4 |None |dropout2
0.3 |None |dropout3
[2K
[2K
Trial 15 Complete [00h 00m 05s]
val_loss: 19.9185848236084
Best val_loss So Far: 18.77815055847168
Total elapsed time: 00h 01m 12s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
128 |32 |filter_unit0
64 |None |filter_unit1
64 |None |filter_unit2
256 |None |filter_unit3
256 |None |filter_unit4
1 |5 |kernel_size0
5 |None |kernel_size1
4 |None |kernel_size2
2 |None |kernel_size3
5 |None |kernel_size4
4 |1 |pool_size0
4 |None |pool_size1
2 |None |pool_size2
3 |None |pool_size3
5 |None |pool_size4
4 |2 |stride_size0
4 |None |stride_size1
2 |None |stride_size2
3 |None |stride_size3
3 |None |stride_size4
0.4 |0.4 |dropout0
0.4 |None |dropout1
0.2 |None |dropout2
0.4 |None |dropout3
0.4 |None |dropout4
[2K
[2K
Trial 16 Complete [00h 00m 06s]
val_loss: 19.25940704345703
Best val_loss So Far: 18.77815055847168
Total elapsed time: 00h 01m 17s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
32 |32 |filter_unit0
64 |None |filter_unit1
256 |None |filter_unit2
32 |None |filter_unit3
128 |None |filter_unit4
3 |5 |kernel_size0
1 |None |kernel_size1
5 |None |kernel_size2
3 |None |kernel_size3
1 |None |kernel_size4
1 |1 |pool_size0
1 |None |pool_size1
1 |None |pool_size2
3 |None |pool_size3
1 |None |pool_size4
5 |2 |stride_size0
4 |None |stride_size1
3 |None |stride_size2
5 |None |stride_size3
4 |None |stride_size4
0.4 |0.4 |dropout0
0 |None |dropout1
0.1 |None |dropout2
0.1 |None |dropout3
0.3 |None |dropout4
[2K
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0064s vs `on_train_batch_end` time: 0.0064s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0064s vs `on_train_batch_end` time: 0.0064s). Check your callbacks.
[2K
Trial 17 Complete [00h 00m 05s]
val_loss: 19.860645294189453
Best val_loss So Far: 18.77815055847168
Total elapsed time: 00h 01m 22s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
256 |32 |filter_unit0
2 |5 |kernel_size0
4 |1 |pool_size0
3 |2 |stride_size0
0.1 |0.4 |dropout0
[2K
[2K
Trial 18 Complete [00h 00m 03s]
val_loss: 19.264720916748047
Best val_loss So Far: 18.77815055847168
Total elapsed time: 00h 01m 25s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
32 |32 |filter_unit0
256 |None |filter_unit1
3 |5 |kernel_size0
1 |None |kernel_size1
1 |1 |pool_size0
4 |None |pool_size1
2 |2 |stride_size0
5 |None |stride_size1
0.1 |0.4 |dropout0
0.2 |None |dropout1
[2K
[2K
Trial 19 Complete [00h 00m 04s]
val_loss: 20.091724395751953
Best val_loss So Far: 18.77815055847168
Total elapsed time: 00h 01m 29s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
32 |32 |filter_unit0
64 |None |filter_unit1
64 |None |filter_unit2
64 |None |filter_unit3
4 |5 |kernel_size0
2 |None |kernel_size1
4 |None |kernel_size2
5 |None |kernel_size3
4 |1 |pool_size0
2 |None |pool_size1
3 |None |pool_size2
5 |None |pool_size3
5 |2 |stride_size0
1 |None |stride_size1
3 |None |stride_size2
3 |None |stride_size3
0 |0.4 |dropout0
0.3 |None |dropout1
0.1 |None |dropout2
0.4 |None |dropout3
[2K
[2K
Trial 20 Complete [00h 00m 04s]
val_loss: 19.855175018310547
Best val_loss So Far: 18.77815055847168
Total elapsed time: 00h 01m 33s
{'n_layers': 1, 'filter_unit0': 32, 'kernel_size0': 5, 'pool_size0': 1, 'stride_size0': 2, 'dropout0': 0.4}
Epoch 1/200
1/4 [======>.......................] - ETA: 2s - loss: 7.4956WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 1s 4ms/step - loss: 7.6464 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 7.9902WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.4755 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 6.5071WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.4207 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 7.8379WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.3655 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 6.3359WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.2717 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 6.7488WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.2398 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 7.4841WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.1783 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 7.3396WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.8199 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 6.5196WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.9052 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 7.5721WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.5510 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 7.1173WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.6161 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 6.4682WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.4213 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 7.2220WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.7395 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 6.2479WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.2484 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 6.5391WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.2924 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 6.3724WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.3712 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 6.1135WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.1406 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 7.0339WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.2046 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 7.0218WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.0802 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 5.5569WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.7999 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4910WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.7231 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 6.6591WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.0423 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8793WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.6579 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 6.1357WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.8401 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 5.5270WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.5666 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 5.6935WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.7120 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0912WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.3437 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2853WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.5201 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0055WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.1652 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 5.5587WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.2076 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9799WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.4125 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8472WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.2022 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7406WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.1042 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 5.6359WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.2379 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3912WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.8620 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4920WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.1846 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8970WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.2011 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2084WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.1092 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3427WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.8668 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6316WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.9093 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7450WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.6441 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 5.6042WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.8920 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1909WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.6600 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 5.5133WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.7145 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2691WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.7699 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2452WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.4543 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7914WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3671 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2705WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.4016 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0193WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3460 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4671WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3934 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2417WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.4144 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5312WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3694 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3156WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3320 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9149WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.2978 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8270WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3228 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4468WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3693 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0028WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.2502 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8099WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.1761 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1410WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.0661 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5658WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.2899 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3543WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9709 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1781WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.1195 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2400WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9946 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9410WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.0487 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6167WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.0890 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5815WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.1039 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8857WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9941 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9831WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.0596 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5643WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7829 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4048WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7436 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7331WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9040 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8689WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6622 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4986WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.8330 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2198WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.8119 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8319WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7958 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4897WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6306 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5547WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7787 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4141WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7641 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8159WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7005 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7853WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6696 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6134WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.8941 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1682WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.4464 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1938WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5661 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4507WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.8406 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9707WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6937 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7362WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3865 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0690WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.4083 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2578WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5949 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3298WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5145 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4124WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6739 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0307WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6030 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9520WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5651 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9788WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.4924 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6375WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3777 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2615WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6228 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5252WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.4468 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0034WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.4999 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4191WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2037 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6960WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2577 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8190WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3176 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6844WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.4360 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3907WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3085 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8931WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.4036 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4371WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.2731 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1393WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.4238 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0134WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2172 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1602WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3378 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2186WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.4116 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1524WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3279 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8221WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2210 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7937WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2257 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1456WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1334 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0363WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3621 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3169WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3285 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7643WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1931 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0989WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0665 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0365WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2783 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0103WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1090 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9352WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3575 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4285WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2725 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1936WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2713 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2161WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3062 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0711WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2958 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4323WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3032 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0604WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2490 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9292WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2171 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5570WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2702 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3626WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0861 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5951WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2138 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4935WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1008 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8253WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2834 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2152WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2626 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1934WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3575 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2705WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2367 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2941WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3186 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3448WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1440 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0400WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1637 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9514WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1669 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9233WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2300 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9488WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3488 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3306WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0469 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2351WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.4218 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3653WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3551 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1918WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2382 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6949WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3872 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1673WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2617 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1253WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1433 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0181WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3687 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9598WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2734 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0596WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0603 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2175WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0127 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7097WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2473 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3097WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1783 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3770WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3432 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6286WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3333 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1101WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1946 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3140WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1739 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8392WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2374 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7780WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1639 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0088WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3044 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8968WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1578 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6730WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3594 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5080WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2264 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5756WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1358 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0566WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2692 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3366WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1673 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0562WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3368 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2470WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1090 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6343WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2824 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8657WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3990 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1652WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3831 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2775WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2403 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1298WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1875 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8902WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.4009 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1540WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3121 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9037WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5843 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4097WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3167 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9341WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1036 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0299WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2290 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0547WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3764 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6975WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2531 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3305WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1877 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5932WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1295 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5800WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2820 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3793WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0424 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8665WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2771 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4181WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2209 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6056WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.0724 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7982WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2665 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3728WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2540 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7839WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3451 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3640WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2471 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5781WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.4386 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7508WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5096 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1040WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3816 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4495WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2682 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1838WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3617 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1753WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.1328 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9380WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.3220 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7585WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.2380 - lr: 4.5400e-09
{'n_layers': 1, 'filter_unit0': 32, 'kernel_size0': 5, 'pool_size0': 1, 'stride_size0': 2, 'dropout0': 0.4}
1/39 [..............................] - ETA: 4s
38/39 [============================>.] - ETA: 0s
39/39 [==============================] - 0s 1ms/step
WARNING:tensorflow:Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
adding new entry
subject config_id mdl_str ... r2 pearsonr_coeff pearsonr_pval
0 Pilot02 0 linreg ... -9.864563 0.038776 0.364940
1 Pilot02 0 linreg ... -11.875765 0.070097 0.101171
2 Pilot02 0 linreg ... -11.069278 0.047023 0.271822
3 Pilot02 0 linreg ... -25.345517 0.016892 0.693177
4 Pilot02 0 linreg ... -15.299470 0.118749 0.005380
.. ... ... ... ... ... ... ...
459 Pilot02 1 cnn1d ... -11.804572 0.041114 0.146944
460 Pilot03 1 cnn1d ... -1.740378 -0.073931 0.020763
461 Pilot02 1 cnn1d ... -6.092478 0.009035 0.750009
462 Pilot03 1 cnn1d ... -0.570728 -0.101432 0.001492
463 Pilot02 1 cnn1d ... -4.078266 -0.060198 0.033611
[464 rows x 18 columns]
imu-bvp_rr_Pilot02_id1_combi5.0-10.0-12.0-15.0-17.0
train
(35921, 11)
test
(364536, 10)
---CNN1D---
input shape: (1440, 7)
x shape: (115, 1440, 7)
Search: Running Trial #1
Value |Best Value So Far |Hyperparameter
4 |4 |n_layers
256 |256 |filter_unit0
256 |256 |filter_unit1
128 |128 |filter_unit2
64 |64 |filter_unit3
1 |1 |kernel_size0
1 |1 |kernel_size1
5 |5 |kernel_size2
4 |4 |kernel_size3
1 |1 |pool_size0
4 |4 |pool_size1
2 |2 |pool_size2
2 |2 |pool_size3
4 |4 |stride_size0
2 |2 |stride_size1
4 |4 |stride_size2
5 |5 |stride_size3
0.1 |0.1 |dropout0
0.4 |0.4 |dropout1
0 |0 |dropout2
0.3 |0.3 |dropout3
[2K
[2K
Trial 1 Complete [00h 00m 06s]
val_loss: 16.06861686706543
Best val_loss So Far: 16.06861686706543
Total elapsed time: 00h 00m 06s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
2 |4 |n_layers
256 |256 |filter_unit0
32 |256 |filter_unit1
5 |1 |kernel_size0
2 |1 |kernel_size1
3 |1 |pool_size0
5 |4 |pool_size1
2 |4 |stride_size0
3 |2 |stride_size1
0 |0.1 |dropout0
0.4 |0.4 |dropout1
[2K
[2K
Trial 2 Complete [00h 00m 03s]
val_loss: 16.9775333404541
Best val_loss So Far: 16.06861686706543
Total elapsed time: 00h 00m 09s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
4 |4 |n_layers
32 |256 |filter_unit0
64 |256 |filter_unit1
128 |128 |filter_unit2
128 |64 |filter_unit3
3 |1 |kernel_size0
5 |1 |kernel_size1
3 |5 |kernel_size2
1 |4 |kernel_size3
4 |1 |pool_size0
1 |4 |pool_size1
2 |2 |pool_size2
4 |2 |pool_size3
2 |4 |stride_size0
4 |2 |stride_size1
5 |4 |stride_size2
2 |5 |stride_size3
0.4 |0.1 |dropout0
0.3 |0.4 |dropout1
0 |0 |dropout2
0.2 |0.3 |dropout3
[2K
[2K
Trial 3 Complete [00h 00m 05s]
val_loss: 16.885499954223633
Best val_loss So Far: 16.06861686706543
Total elapsed time: 00h 00m 14s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
2 |4 |n_layers
256 |256 |filter_unit0
32 |256 |filter_unit1
3 |1 |kernel_size0
5 |1 |kernel_size1
1 |1 |pool_size0
4 |4 |pool_size1
1 |4 |stride_size0
2 |2 |stride_size1
0.2 |0.1 |dropout0
0.3 |0.4 |dropout1
[2K
[2K
Trial 4 Complete [00h 00m 03s]
val_loss: 16.426393508911133
Best val_loss So Far: 16.06861686706543
Total elapsed time: 00h 00m 17s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
5 |4 |n_layers
64 |256 |filter_unit0
64 |256 |filter_unit1
256 |128 |filter_unit2
128 |64 |filter_unit3
64 |None |filter_unit4
3 |1 |kernel_size0
1 |1 |kernel_size1
1 |5 |kernel_size2
5 |4 |kernel_size3
5 |None |kernel_size4
4 |1 |pool_size0
2 |4 |pool_size1
3 |2 |pool_size2
2 |2 |pool_size3
1 |None |pool_size4
1 |4 |stride_size0
3 |2 |stride_size1
2 |4 |stride_size2
5 |5 |stride_size3
4 |None |stride_size4
0.3 |0.1 |dropout0
0.1 |0.4 |dropout1
0 |0 |dropout2
0.4 |0.3 |dropout3
0 |None |dropout4
[2K
[2K
Trial 5 Complete [00h 00m 05s]
val_loss: 16.703590393066406
Best val_loss So Far: 16.06861686706543
Total elapsed time: 00h 00m 22s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
5 |4 |n_layers
32 |256 |filter_unit0
32 |256 |filter_unit1
32 |128 |filter_unit2
32 |64 |filter_unit3
256 |None |filter_unit4
2 |1 |kernel_size0
3 |1 |kernel_size1
3 |5 |kernel_size2
3 |4 |kernel_size3
4 |None |kernel_size4
4 |1 |pool_size0
3 |4 |pool_size1
1 |2 |pool_size2
2 |2 |pool_size3
3 |None |pool_size4
1 |4 |stride_size0
2 |2 |stride_size1
2 |4 |stride_size2
2 |5 |stride_size3
5 |None |stride_size4
0.4 |0.1 |dropout0
0.3 |0.4 |dropout1
0.4 |0 |dropout2
0.1 |0.3 |dropout3
0.1 |None |dropout4
[2K
[2K
Trial 6 Complete [00h 00m 06s]
val_loss: 16.868083953857422
Best val_loss So Far: 16.06861686706543
Total elapsed time: 00h 00m 29s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
5 |4 |n_layers
64 |256 |filter_unit0
256 |256 |filter_unit1
32 |128 |filter_unit2
128 |64 |filter_unit3
64 |None |filter_unit4
5 |1 |kernel_size0
3 |1 |kernel_size1
1 |5 |kernel_size2
4 |4 |kernel_size3
2 |None |kernel_size4
3 |1 |pool_size0
4 |4 |pool_size1
3 |2 |pool_size2
5 |2 |pool_size3
4 |None |pool_size4
4 |4 |stride_size0
3 |2 |stride_size1
3 |4 |stride_size2
1 |5 |stride_size3
1 |None |stride_size4
0.3 |0.1 |dropout0
0 |0.4 |dropout1
0 |0 |dropout2
0.3 |0.3 |dropout3
0 |None |dropout4
[2K
[2K
Trial 7 Complete [00h 00m 05s]
val_loss: 16.787918090820312
Best val_loss So Far: 16.06861686706543
Total elapsed time: 00h 00m 34s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
3 |4 |n_layers
64 |256 |filter_unit0
256 |256 |filter_unit1
64 |128 |filter_unit2
5 |1 |kernel_size0
2 |1 |kernel_size1
5 |5 |kernel_size2
3 |1 |pool_size0
4 |4 |pool_size1
2 |2 |pool_size2
4 |4 |stride_size0
2 |2 |stride_size1
1 |4 |stride_size2
0.2 |0.1 |dropout0
0.4 |0.4 |dropout1
0.4 |0 |dropout2
[2K
[2K
Trial 8 Complete [00h 00m 04s]
val_loss: 16.766565322875977
Best val_loss So Far: 16.06861686706543
Total elapsed time: 00h 00m 37s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
3 |4 |n_layers
32 |256 |filter_unit0
128 |256 |filter_unit1
128 |128 |filter_unit2
5 |1 |kernel_size0
1 |1 |kernel_size1
3 |5 |kernel_size2
3 |1 |pool_size0
5 |4 |pool_size1
4 |2 |pool_size2
3 |4 |stride_size0
3 |2 |stride_size1
4 |4 |stride_size2
0.1 |0.1 |dropout0
0.4 |0.4 |dropout1
0.3 |0 |dropout2
[2K
[2K
Trial 9 Complete [00h 00m 04s]
val_loss: 16.909893035888672
Best val_loss So Far: 16.06861686706543
Total elapsed time: 00h 00m 41s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
5 |4 |n_layers
128 |256 |filter_unit0
128 |256 |filter_unit1
64 |128 |filter_unit2
32 |64 |filter_unit3
64 |None |filter_unit4
3 |1 |kernel_size0
2 |1 |kernel_size1
1 |5 |kernel_size2
4 |4 |kernel_size3
3 |None |kernel_size4
3 |1 |pool_size0
5 |4 |pool_size1
5 |2 |pool_size2
5 |2 |pool_size3
3 |None |pool_size4
5 |4 |stride_size0
2 |2 |stride_size1
2 |4 |stride_size2
1 |5 |stride_size3
5 |None |stride_size4
0 |0.1 |dropout0
0 |0.4 |dropout1
0.4 |0 |dropout2
0.2 |0.3 |dropout3
0.4 |None |dropout4
[2K
[2K
Trial 10 Complete [00h 00m 05s]
val_loss: 16.55303955078125
Best val_loss So Far: 16.06861686706543
Total elapsed time: 00h 00m 46s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
2 |4 |n_layers
128 |256 |filter_unit0
32 |256 |filter_unit1
3 |1 |kernel_size0
2 |1 |kernel_size1
4 |1 |pool_size0
4 |4 |pool_size1
3 |4 |stride_size0
3 |2 |stride_size1
0 |0.1 |dropout0
0.3 |0.4 |dropout1
[2K
[2K
Trial 11 Complete [00h 00m 03s]
val_loss: 15.856537818908691
Best val_loss So Far: 15.856537818908691
Total elapsed time: 00h 00m 49s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
2 |2 |n_layers
32 |128 |filter_unit0
128 |32 |filter_unit1
4 |3 |kernel_size0
2 |2 |kernel_size1
2 |4 |pool_size0
5 |4 |pool_size1
4 |3 |stride_size0
1 |3 |stride_size1
0 |0 |dropout0
0.3 |0.3 |dropout1
[2K
[2K
Trial 12 Complete [00h 00m 04s]
val_loss: 16.645620346069336
Best val_loss So Far: 15.856537818908691
Total elapsed time: 00h 00m 54s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
5 |2 |n_layers
256 |128 |filter_unit0
256 |32 |filter_unit1
32 |None |filter_unit2
128 |None |filter_unit3
32 |None |filter_unit4
3 |3 |kernel_size0
3 |2 |kernel_size1
4 |None |kernel_size2
2 |None |kernel_size3
3 |None |kernel_size4
2 |4 |pool_size0
2 |4 |pool_size1
1 |None |pool_size2
1 |None |pool_size3
1 |None |pool_size4
2 |3 |stride_size0
1 |3 |stride_size1
1 |None |stride_size2
5 |None |stride_size3
2 |None |stride_size4
0.2 |0 |dropout0
0.4 |0.3 |dropout1
0.3 |None |dropout2
0 |None |dropout3
0.4 |None |dropout4
[2K
[2K
Trial 13 Complete [00h 00m 06s]
val_loss: 16.88544273376465
Best val_loss So Far: 15.856537818908691
Total elapsed time: 00h 00m 59s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
4 |2 |n_layers
128 |128 |filter_unit0
32 |32 |filter_unit1
256 |None |filter_unit2
32 |None |filter_unit3
3 |3 |kernel_size0
1 |2 |kernel_size1
2 |None |kernel_size2
5 |None |kernel_size3
1 |4 |pool_size0
4 |4 |pool_size1
2 |None |pool_size2
4 |None |pool_size3
3 |3 |stride_size0
1 |3 |stride_size1
2 |None |stride_size2
3 |None |stride_size3
0.3 |0 |dropout0
0.4 |0.3 |dropout1
0.3 |None |dropout2
0.4 |None |dropout3
[2K
[2K
Trial 14 Complete [00h 00m 05s]
val_loss: 16.458580017089844
Best val_loss So Far: 15.856537818908691
Total elapsed time: 00h 01m 05s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
4 |2 |n_layers
32 |128 |filter_unit0
128 |32 |filter_unit1
256 |None |filter_unit2
256 |None |filter_unit3
2 |3 |kernel_size0
4 |2 |kernel_size1
2 |None |kernel_size2
5 |None |kernel_size3
1 |4 |pool_size0
1 |4 |pool_size1
3 |None |pool_size2
2 |None |pool_size3
3 |3 |stride_size0
5 |3 |stride_size1
1 |None |stride_size2
5 |None |stride_size3
0.3 |0 |dropout0
0.2 |0.3 |dropout1
0 |None |dropout2
0.1 |None |dropout3
[2K
[2K
Trial 15 Complete [00h 00m 06s]
val_loss: 15.343057632446289
Best val_loss So Far: 15.343057632446289
Total elapsed time: 00h 01m 11s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
2 |4 |n_layers
256 |32 |filter_unit0
256 |128 |filter_unit1
5 |2 |kernel_size0
2 |4 |kernel_size1
1 |1 |pool_size0
2 |1 |pool_size1
2 |3 |stride_size0
1 |5 |stride_size1
0.1 |0.3 |dropout0
0.3 |0.2 |dropout1
[2K
[2K
Trial 16 Complete [00h 00m 04s]
val_loss: 17.26767349243164
Best val_loss So Far: 15.343057632446289
Total elapsed time: 00h 01m 15s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
2 |4 |n_layers
32 |32 |filter_unit0
64 |128 |filter_unit1
4 |2 |kernel_size0
2 |4 |kernel_size1
5 |1 |pool_size0
5 |1 |pool_size1
1 |3 |stride_size0
5 |5 |stride_size1
0.4 |0.3 |dropout0
0 |0.2 |dropout1
[2K
[2K
Trial 17 Complete [00h 00m 03s]
val_loss: 17.124710083007812
Best val_loss So Far: 15.343057632446289
Total elapsed time: 00h 01m 18s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
2 |4 |n_layers
128 |32 |filter_unit0
32 |128 |filter_unit1
2 |2 |kernel_size0
3 |4 |kernel_size1
1 |1 |pool_size0
3 |1 |pool_size1
2 |3 |stride_size0
3 |5 |stride_size1
0.3 |0.3 |dropout0
0.1 |0.2 |dropout1
[2K
[2K
Trial 18 Complete [00h 00m 04s]
val_loss: 17.02516746520996
Best val_loss So Far: 15.343057632446289
Total elapsed time: 00h 01m 23s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
5 |4 |n_layers
64 |32 |filter_unit0
64 |128 |filter_unit1
128 |256 |filter_unit2
256 |256 |filter_unit3
32 |None |filter_unit4
5 |2 |kernel_size0
2 |4 |kernel_size1
3 |2 |kernel_size2
5 |5 |kernel_size3
1 |None |kernel_size4
1 |1 |pool_size0
5 |1 |pool_size1
4 |3 |pool_size2
2 |2 |pool_size3
2 |None |pool_size4
4 |3 |stride_size0
1 |5 |stride_size1
4 |1 |stride_size2
4 |5 |stride_size3
4 |None |stride_size4
0.4 |0.3 |dropout0
0.2 |0.2 |dropout1
0.1 |0 |dropout2
0.2 |0.1 |dropout3
0.4 |None |dropout4
[2K
[2K
Trial 19 Complete [00h 00m 07s]
val_loss: 16.6518497467041
Best val_loss So Far: 15.343057632446289
Total elapsed time: 00h 01m 29s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
3 |4 |n_layers
128 |32 |filter_unit0
256 |128 |filter_unit1
32 |256 |filter_unit2
1 |2 |kernel_size0
3 |4 |kernel_size1
4 |2 |kernel_size2
2 |1 |pool_size0
5 |1 |pool_size1
5 |3 |pool_size2
5 |3 |stride_size0
2 |5 |stride_size1
5 |1 |stride_size2
0.3 |0.3 |dropout0
0.4 |0.2 |dropout1
0.4 |0 |dropout2
[2K
[2K
Trial 20 Complete [00h 00m 04s]
val_loss: 16.466344833374023
Best val_loss So Far: 15.343057632446289
Total elapsed time: 00h 01m 33s
{'n_layers': 4, 'filter_unit0': 32, 'filter_unit1': 128, 'filter_unit2': 256, 'filter_unit3': 256, 'kernel_size0': 2, 'kernel_size1': 4, 'kernel_size2': 2, 'kernel_size3': 5, 'pool_size0': 1, 'pool_size1': 1, 'pool_size2': 3, 'pool_size3': 2, 'stride_size0': 3, 'stride_size1': 5, 'stride_size2': 1, 'stride_size3': 5, 'dropout0': 0.30000000000000004, 'dropout1': 0.2, 'dropout2': 0.0, 'dropout3': 0.1}
Epoch 1/200
1/4 [======>.......................] - ETA: 7s - loss: 22.1214
4/4 [==============================] - ETA: 0s - loss: 20.4600WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 3s 112ms/step - loss: 20.4600 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 18.5972WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 17.7179 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 15.8835WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 15.4472 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 14.9815WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 13.1717 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 12.3343WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 11.4286 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 8.4192WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 9.3230 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 8.4957WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 8.2243 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 8.2030WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 6.9925 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 6.4946WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 6.1142 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 6.4651WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 6.0675 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 6.1847WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 5.4840 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5513WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 4.4441 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5017WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 4.1916 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6050WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 4.3396 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2353WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.7747 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9262WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.8043 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4010WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.3920 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0636WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.4430 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5640WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.4272 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7209WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.2576 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5459WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.9955 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6160WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.4170 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0227WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.9362 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9983WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.6131 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1158WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.9406 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8171WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.7406 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2049WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.9026 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3814WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4457 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4305WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5787 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9742WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.9567 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7966WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 10ms/step - loss: 2.8237 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7453WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.8683 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1784WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.7057 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9440WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.3522 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5515WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4741 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5266WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.7034 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1495WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 10ms/step - loss: 2.2752 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0849WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4407 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9157WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2702 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9982WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1007 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3894WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.0865 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3059WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.3938 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9263WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.9918 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6769WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.9683 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9301WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1953 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8991WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.8233 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8517WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.9641 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8350WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.7999 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4970WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.0473 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0985WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.0090 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2582WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1134 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9426WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.8464 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9734WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.9311 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9313WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.9676 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7752WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.7874 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6010WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.9217 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3424WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.0396 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2577WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.9433 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6662WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.7183 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9565WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.7616 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0153WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.7619 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5066WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.8012 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3602WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.6204 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7780WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.7948 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2449WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.7663 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3033WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.7837 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0001WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.7826 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4815WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.6376 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7072WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.6914 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4086WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.5671 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7492WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.7873 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3600WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.5502 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4233WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.7181 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5962WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.5183 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3905WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.6121 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6402WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.5294 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7648WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.5063 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5588WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.7628 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8801WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.6258 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5068WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.5983 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5887WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.5863 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6722WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.6522 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8884WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.7933 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7950WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.5981 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5334WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.5945 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3433WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.6279 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7222WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.6174 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4006WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.7387 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0735WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.6424 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8263WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.6138 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6885WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.4926 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5419WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.5332 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4167WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.4880 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3118WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.5262 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5468WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.4080 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4285WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.5497 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3390WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.4816 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7557WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.6696 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6245WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.5852 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4575WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.4845 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6062WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.5303 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2220WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.4148 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4823WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.5820 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3284WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.5704 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2478WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.4082 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3817WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.3963 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4544WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.6605 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2478WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.4715 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3555WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.4724 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2790WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.4614 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6947WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.4934 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6627WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.4838 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6989WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.5272 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4334WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.4259 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2596WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.4208 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3536WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.4443 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6114WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.4397 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4582WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.3240 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5330WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.4662 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3039WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.3000 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4996WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.3568 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2773WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.4371 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7989WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.5014 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3195WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.4248 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4348WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.5511 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4309WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.3713 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1093WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.3693 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5304WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.4423 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6152WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.5205 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4399WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.4365 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2694WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.5558 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1210WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.3711 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1431WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.3555 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1815WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.4988 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6144WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.4361 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5661WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.4988 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4477WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.5471 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3803WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.5263 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1684WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.3353 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5219WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.4298 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4071WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.3766 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1368WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.3579 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3245WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.3180 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5403WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.6424 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4731WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.5278 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4951WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.4817 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4155WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.4926 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4367WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.4879 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5153WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.4776 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6623WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.4541 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5717WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.4779 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6610WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.3789 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3482WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.4228 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2523WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.2812 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6424WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.5196 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8808WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.5930 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2890WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.3882 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7926WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.4819 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3958WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.4238 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2522WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.4237 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6594WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.5379 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2847WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.2877 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6066WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.4843 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3210WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.4801 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0958WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 11ms/step - loss: 1.3028 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4799WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.3153 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6648WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.4408 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0706WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.4075 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6566WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.5876 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1645WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.5313 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2684WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.4214 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1990WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.4368 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6405WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.4191 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4475WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.4846 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4073WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.6099 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5764WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.4023 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5111WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.3371 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2645WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.3398 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5930WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.6597 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7905WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.6763 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3483WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.2728 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4389WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.4828 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5159WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 10ms/step - loss: 1.3917 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3971WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.3847 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5249WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.6000 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4456WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.4303 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7361WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.6068 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4897WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.4668 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2455WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.3663 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6864WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.4860 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6836WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.3785 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4188WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.4239 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5721WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.4011 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7285WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.5159 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4258WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.3193 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4832WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.4853 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4903WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.4625 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7858WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.4343 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3336WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.3280 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2021WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.4274 - lr: 4.5400e-09
{'n_layers': 4, 'filter_unit0': 32, 'filter_unit1': 128, 'filter_unit2': 256, 'filter_unit3': 256, 'kernel_size0': 2, 'kernel_size1': 4, 'kernel_size2': 2, 'kernel_size3': 5, 'pool_size0': 1, 'pool_size1': 1, 'pool_size2': 3, 'pool_size3': 2, 'stride_size0': 3, 'stride_size1': 5, 'stride_size2': 1, 'stride_size3': 5, 'dropout0': 0.30000000000000004, 'dropout1': 0.2, 'dropout2': 0.0, 'dropout3': 0.1}
1/39 [..............................] - ETA: 13s
18/39 [============>.................] - ETA: 0s
36/39 [==========================>...] - ETA: 0s
39/39 [==============================] - ETA: 0s
39/39 [==============================] - 1s 5ms/step
WARNING:tensorflow:Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
adding new entry
subject config_id mdl_str ... r2 pearsonr_coeff pearsonr_pval
0 Pilot02 0 linreg ... -9.864563 0.038776 0.364940
1 Pilot02 0 linreg ... -11.875765 0.070097 0.101171
2 Pilot02 0 linreg ... -11.069278 0.047023 0.271822
3 Pilot02 0 linreg ... -25.345517 0.016892 0.693177
4 Pilot02 0 linreg ... -15.299470 0.118749 0.005380
.. ... ... ... ... ... ... ...
461 Pilot02 1 cnn1d ... -6.092478 0.009035 0.750009
462 Pilot03 1 cnn1d ... -0.570728 -0.101432 0.001492
463 Pilot02 1 cnn1d ... -4.078266 -0.060198 0.033611
464 Pilot03 1 cnn1d ... -1.944831 -0.112322 0.000433
465 Pilot02 1 cnn1d ... -0.624393 0.099391 0.000442
[466 rows x 18 columns]
imu-bvp_rr_Pilot02_id1_combi5.0-10.0-12.0-15.0-20.0
train
(35921, 11)
test
(364536, 10)
---CNN1D---
input shape: (1440, 7)
x shape: (110, 1440, 7)
Search: Running Trial #1
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
128 |128 |filter_unit0
2 |2 |kernel_size0
5 |5 |pool_size0
1 |1 |stride_size0
0.2 |0.2 |dropout0
[2K
[2K
Trial 1 Complete [00h 00m 03s]
val_loss: 16.748502731323242
Best val_loss So Far: 16.748502731323242
Total elapsed time: 00h 00m 03s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
32 |128 |filter_unit0
128 |None |filter_unit1
32 |None |filter_unit2
32 |None |filter_unit3
128 |None |filter_unit4
4 |2 |kernel_size0
5 |None |kernel_size1
3 |None |kernel_size2
3 |None |kernel_size3
4 |None |kernel_size4
4 |5 |pool_size0
2 |None |pool_size1
3 |None |pool_size2
1 |None |pool_size3
1 |None |pool_size4
5 |1 |stride_size0
5 |None |stride_size1
4 |None |stride_size2
2 |None |stride_size3
3 |None |stride_size4
0.1 |0.2 |dropout0
0 |None |dropout1
0 |None |dropout2
0.2 |None |dropout3
0.1 |None |dropout4
[2K
[2K
Trial 2 Complete [00h 00m 05s]
val_loss: 19.460542678833008
Best val_loss So Far: 16.748502731323242
Total elapsed time: 00h 00m 08s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
128 |128 |filter_unit0
128 |None |filter_unit1
32 |None |filter_unit2
32 |None |filter_unit3
256 |None |filter_unit4
1 |2 |kernel_size0
5 |None |kernel_size1
1 |None |kernel_size2
1 |None |kernel_size3
1 |None |kernel_size4
2 |5 |pool_size0
5 |None |pool_size1
2 |None |pool_size2
3 |None |pool_size3
3 |None |pool_size4
3 |1 |stride_size0
4 |None |stride_size1
4 |None |stride_size2
3 |None |stride_size3
1 |None |stride_size4
0.1 |0.2 |dropout0
0.2 |None |dropout1
0 |None |dropout2
0.1 |None |dropout3
0.1 |None |dropout4
[2K
[2K
Trial 3 Complete [00h 00m 06s]
val_loss: 19.264060974121094
Best val_loss So Far: 16.748502731323242
Total elapsed time: 00h 00m 14s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
256 |128 |filter_unit0
256 |None |filter_unit1
4 |2 |kernel_size0
5 |None |kernel_size1
2 |5 |pool_size0
2 |None |pool_size1
5 |1 |stride_size0
2 |None |stride_size1
0.4 |0.2 |dropout0
0.1 |None |dropout1
[2K
[2K
Trial 4 Complete [00h 00m 03s]
val_loss: 19.370922088623047
Best val_loss So Far: 16.748502731323242
Total elapsed time: 00h 00m 17s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
64 |128 |filter_unit0
256 |None |filter_unit1
128 |None |filter_unit2
32 |None |filter_unit3
4 |2 |kernel_size0
2 |None |kernel_size1
3 |None |kernel_size2
4 |None |kernel_size3
3 |5 |pool_size0
5 |None |pool_size1
4 |None |pool_size2
4 |None |pool_size3
3 |1 |stride_size0
3 |None |stride_size1
1 |None |stride_size2
1 |None |stride_size3
0.3 |0.2 |dropout0
0 |None |dropout1
0 |None |dropout2
0.3 |None |dropout3
[2K
[2K
Trial 5 Complete [00h 00m 04s]
val_loss: 19.137916564941406
Best val_loss So Far: 16.748502731323242
Total elapsed time: 00h 00m 22s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
128 |128 |filter_unit0
3 |2 |kernel_size0
5 |5 |pool_size0
3 |1 |stride_size0
0.4 |0.2 |dropout0
[2K
[2K
Trial 6 Complete [00h 00m 03s]
val_loss: 19.672893524169922
Best val_loss So Far: 16.748502731323242
Total elapsed time: 00h 00m 25s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
256 |128 |filter_unit0
64 |None |filter_unit1
4 |2 |kernel_size0
2 |None |kernel_size1
4 |5 |pool_size0
2 |None |pool_size1
1 |1 |stride_size0
3 |None |stride_size1
0.4 |0.2 |dropout0
0.4 |None |dropout1
[2K
[2K
Trial 7 Complete [00h 00m 03s]
val_loss: 19.761945724487305
Best val_loss So Far: 16.748502731323242
Total elapsed time: 00h 00m 28s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
32 |128 |filter_unit0
128 |None |filter_unit1
128 |None |filter_unit2
5 |2 |kernel_size0
1 |None |kernel_size1
3 |None |kernel_size2
3 |5 |pool_size0
5 |None |pool_size1
4 |None |pool_size2
3 |1 |stride_size0
3 |None |stride_size1
4 |None |stride_size2
0.1 |0.2 |dropout0
0.4 |None |dropout1
0.3 |None |dropout2
[2K
[2K
Trial 8 Complete [00h 00m 03s]
val_loss: 18.6436767578125
Best val_loss So Far: 16.748502731323242
Total elapsed time: 00h 00m 32s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
128 |128 |filter_unit0
128 |None |filter_unit1
64 |None |filter_unit2
32 |None |filter_unit3
64 |None |filter_unit4
3 |2 |kernel_size0
2 |None |kernel_size1
1 |None |kernel_size2
4 |None |kernel_size3
3 |None |kernel_size4
3 |5 |pool_size0
5 |None |pool_size1
5 |None |pool_size2
5 |None |pool_size3
3 |None |pool_size4
5 |1 |stride_size0
2 |None |stride_size1
2 |None |stride_size2
1 |None |stride_size3
5 |None |stride_size4
0 |0.2 |dropout0
0 |None |dropout1
0.4 |None |dropout2
0.2 |None |dropout3
0.4 |None |dropout4
[2K
[2K
Trial 9 Complete [00h 00m 06s]
val_loss: 19.293169021606445
Best val_loss So Far: 16.748502731323242
Total elapsed time: 00h 00m 38s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
128 |128 |filter_unit0
32 |None |filter_unit1
3 |2 |kernel_size0
2 |None |kernel_size1
4 |5 |pool_size0
4 |None |pool_size1
3 |1 |stride_size0
3 |None |stride_size1
0 |0.2 |dropout0
0.3 |None |dropout1
[2K
[2K
Trial 10 Complete [00h 00m 03s]
val_loss: 18.660202026367188
Best val_loss So Far: 16.748502731323242
Total elapsed time: 00h 00m 41s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
32 |128 |filter_unit0
128 |None |filter_unit1
4 |2 |kernel_size0
2 |None |kernel_size1
2 |5 |pool_size0
5 |None |pool_size1
4 |1 |stride_size0
1 |None |stride_size1
0 |0.2 |dropout0
0.3 |None |dropout1
[2K
[2K
Trial 11 Complete [00h 00m 03s]
val_loss: 19.656530380249023
Best val_loss So Far: 16.748502731323242
Total elapsed time: 00h 00m 44s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
256 |128 |filter_unit0
256 |None |filter_unit1
32 |None |filter_unit2
128 |None |filter_unit3
32 |None |filter_unit4
3 |2 |kernel_size0
3 |None |kernel_size1
4 |None |kernel_size2
2 |None |kernel_size3
3 |None |kernel_size4
2 |5 |pool_size0
2 |None |pool_size1
1 |None |pool_size2
1 |None |pool_size3
1 |None |pool_size4
2 |1 |stride_size0
1 |None |stride_size1
1 |None |stride_size2
5 |None |stride_size3
2 |None |stride_size4
0.2 |0.2 |dropout0
0.4 |None |dropout1
0.3 |None |dropout2
0 |None |dropout3
0.4 |None |dropout4
[2K
[2K
Trial 12 Complete [00h 00m 06s]
val_loss: 19.582319259643555
Best val_loss So Far: 16.748502731323242
Total elapsed time: 00h 00m 51s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
128 |128 |filter_unit0
32 |None |filter_unit1
256 |None |filter_unit2
32 |None |filter_unit3
3 |2 |kernel_size0
1 |None |kernel_size1
2 |None |kernel_size2
5 |None |kernel_size3
1 |5 |pool_size0
4 |None |pool_size1
2 |None |pool_size2
4 |None |pool_size3
3 |1 |stride_size0
1 |None |stride_size1
2 |None |stride_size2
3 |None |stride_size3
0.3 |0.2 |dropout0
0.4 |None |dropout1
0.3 |None |dropout2
0.4 |None |dropout3
[2K
[2K
Trial 13 Complete [00h 00m 04s]
val_loss: 19.254487991333008
Best val_loss So Far: 16.748502731323242
Total elapsed time: 00h 00m 55s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
32 |128 |filter_unit0
128 |None |filter_unit1
256 |None |filter_unit2
256 |None |filter_unit3
2 |2 |kernel_size0
4 |None |kernel_size1
2 |None |kernel_size2
5 |None |kernel_size3
1 |5 |pool_size0
1 |None |pool_size1
3 |None |pool_size2
2 |None |pool_size3
3 |1 |stride_size0
5 |None |stride_size1
1 |None |stride_size2
5 |None |stride_size3
0.3 |0.2 |dropout0
0.2 |None |dropout1
0 |None |dropout2
0.1 |None |dropout3
[2K
[2K
Trial 14 Complete [00h 00m 05s]
val_loss: 18.03167724609375
Best val_loss So Far: 16.748502731323242
Total elapsed time: 00h 01m 00s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
256 |128 |filter_unit0
256 |None |filter_unit1
5 |2 |kernel_size0
2 |None |kernel_size1
1 |5 |pool_size0
2 |None |pool_size1
2 |1 |stride_size0
1 |None |stride_size1
0.1 |0.2 |dropout0
0.3 |None |dropout1
[2K
[2K
Trial 15 Complete [00h 00m 04s]
val_loss: 19.741737365722656
Best val_loss So Far: 16.748502731323242
Total elapsed time: 00h 01m 04s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
32 |128 |filter_unit0
64 |None |filter_unit1
4 |2 |kernel_size0
2 |None |kernel_size1
5 |5 |pool_size0
5 |None |pool_size1
1 |1 |stride_size0
5 |None |stride_size1
0.4 |0.2 |dropout0
0 |None |dropout1
[2K
[2K
Trial 16 Complete [00h 00m 03s]
val_loss: 19.120820999145508
Best val_loss So Far: 16.748502731323242
Total elapsed time: 00h 01m 07s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
128 |128 |filter_unit0
32 |None |filter_unit1
2 |2 |kernel_size0
3 |None |kernel_size1
1 |5 |pool_size0
3 |None |pool_size1
2 |1 |stride_size0
3 |None |stride_size1
0.3 |0.2 |dropout0
0.1 |None |dropout1
[2K
[2K
Trial 17 Complete [00h 00m 03s]
val_loss: 19.63719940185547
Best val_loss So Far: 16.748502731323242
Total elapsed time: 00h 01m 10s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
64 |128 |filter_unit0
64 |None |filter_unit1
128 |None |filter_unit2
256 |None |filter_unit3
32 |None |filter_unit4
5 |2 |kernel_size0
2 |None |kernel_size1
3 |None |kernel_size2
5 |None |kernel_size3
1 |None |kernel_size4
1 |5 |pool_size0
5 |None |pool_size1
4 |None |pool_size2
2 |None |pool_size3
2 |None |pool_size4
4 |1 |stride_size0
1 |None |stride_size1
4 |None |stride_size2
4 |None |stride_size3
4 |None |stride_size4
0.4 |0.2 |dropout0
0.2 |None |dropout1
0.1 |None |dropout2
0.2 |None |dropout3
0.4 |None |dropout4
[2K
[2K
Trial 18 Complete [00h 00m 05s]
val_loss: 19.462682723999023
Best val_loss So Far: 16.748502731323242
Total elapsed time: 00h 01m 16s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
128 |128 |filter_unit0
256 |None |filter_unit1
32 |None |filter_unit2
1 |2 |kernel_size0
3 |None |kernel_size1
4 |None |kernel_size2
2 |5 |pool_size0
5 |None |pool_size1
5 |None |pool_size2
5 |1 |stride_size0
2 |None |stride_size1
5 |None |stride_size2
0.3 |0.2 |dropout0
0.4 |None |dropout1
0.4 |None |dropout2
[2K
[2K
Trial 19 Complete [00h 00m 04s]
val_loss: 19.070911407470703
Best val_loss So Far: 16.748502731323242
Total elapsed time: 00h 01m 19s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
32 |128 |filter_unit0
256 |None |filter_unit1
256 |None |filter_unit2
3 |2 |kernel_size0
5 |None |kernel_size1
1 |None |kernel_size2
2 |5 |pool_size0
2 |None |pool_size1
2 |None |pool_size2
4 |1 |stride_size0
5 |None |stride_size1
5 |None |stride_size2
0.1 |0.2 |dropout0
0.4 |None |dropout1
0.4 |None |dropout2
[2K
[2K
Trial 20 Complete [00h 00m 05s]
val_loss: 19.590835571289062
Best val_loss So Far: 16.748502731323242
Total elapsed time: 00h 01m 24s
{'n_layers': 1, 'filter_unit0': 128, 'kernel_size0': 2, 'pool_size0': 5, 'stride_size0': 1, 'dropout0': 0.2}
Epoch 1/200
1/4 [======>.......................] - ETA: 2s - loss: 10.4647WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 1s 17ms/step - loss: 10.6167 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 9.6108WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 10.0618 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 7.7134WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 9.4932 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 9.3728WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 8.9947 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 8.0724WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 8.4817 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 7.9178WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 8.0121 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 7.7878WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 7.6642 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 7.2886WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 7.3110 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 7.4202WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 7.0119 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 7.2771WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 6.7418 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 6.5475WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 6.5042 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3678WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 6.2665 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 5.9990WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 6.1018 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 6.8917WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 5.8390 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1851WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 5.6133 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8816WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 5.4827 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 5.7970WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 5.3156 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 6.2715WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 5.2753 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7077WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 5.1119 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4673WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 5.0256 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9917WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 4.9346 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9574WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 4.8471 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2683WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 4.7066 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9666WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 4.7097 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7032WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 4.6287 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7446WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 4.5701 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8779WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 4.5154 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6594WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 4.4610 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7160WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 4.3862 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0732WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 4.3464 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8963WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 4.2686 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3832WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 4.2433 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7738WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 4.2130 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7561WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 4.1461 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5432WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 4.1138 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9564WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 4.0554 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0868WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.9881 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7515WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.9874 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3792WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.9320 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1368WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.9030 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8790WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.8387 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0284WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.8396 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9538WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.7683 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1781WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.7534 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9399WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.7088 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5238WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.7037 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7749WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.6215 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2880WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.6072 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9509WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.5350 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1859WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.5043 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6576WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.4769 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4093WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.4269 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5795WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.4096 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2488WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.3710 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2037WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.3874 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5653WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.3187 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6711WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.2817 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7208WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.2697 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1223WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.1896 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4691WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.1589 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1744WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.1799 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5126WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.1086 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7656WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.0803 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3769WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.0906 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6385WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.0345 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7611WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.0003 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2839WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.9707 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0330WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.9539 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0147WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.9170 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6595WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.9114 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5187WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.9074 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9953WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.8344 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0112WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.8461 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7341WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.8017 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4117WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.8450 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7462WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.7413 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4021WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.7557 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9552WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.6986 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0137WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.6708 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6604WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.7244 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6488WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.6675 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5218WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.6167 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6028WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.6140 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4930WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.6288 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3365WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5459 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2046WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.7266 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3843WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5157 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7094WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4946 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9519WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4820 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1101WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4286 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9738WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4403 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5764WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4381 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3022WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4107 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6121WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.3779 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0616WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.3642 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8949WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4466 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4349WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.3565 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3863WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.3271 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9140WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.3708 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2002WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.3425 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3303WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.3486 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9812WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.3245 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8108WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2469 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2795WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2601 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0362WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.3026 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7265WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2241 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1363WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2101 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1478WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2487 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4764WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2002 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0753WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1887 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1943WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2348 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3108WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2004 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6182WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2470 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4246WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1893 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4414WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2779 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5623WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1973 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7259WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1873 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8620WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1539 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5111WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1573 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8438WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1368 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1995WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1744 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7241WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2209 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5140WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2381 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5362WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2057 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7846WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1561 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4951WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1404 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5504WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1823 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4829WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2055 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6258WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1693 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4462WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2017 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9006WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1573 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1480WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1767 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5911WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1890 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4471WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1957 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2640WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2191 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3879WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1706 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9243WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1411 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9198WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2246 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0413WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1942 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5231WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1503 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5539WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2606 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8922WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1518 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5006WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1693 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8695WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2075 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7061WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1193 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0354WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1455 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3284WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1296 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9931WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1542 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3607WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1329 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7511WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1830 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8678WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2420 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0033WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1564 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6431WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1516 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0961WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1460 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1475WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1443 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5425WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2123 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7479WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1310 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3206WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1866 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3734WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1422 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8778WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1419 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7592WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1862 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3723WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1559 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0955WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1489 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9161WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1772 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7536WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1482 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2785WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1824 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6974WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2081 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3166WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1266 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1128WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1400 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5574WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1421 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5901WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1551 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7533WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2049 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9106WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1680 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1226WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1443 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0754WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2771 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7286WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1554 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3584WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2025 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2537WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1335 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1052WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2832 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5737WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1484 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8542WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1155 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0714WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1054 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8303WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1668 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9888WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1566 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4546WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1893 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0554WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1443 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1728WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1980 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9933WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2161 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2771WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2001 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4647WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1238 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8367WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1689 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9577WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1285 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1129WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1872 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1369WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1156 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5275WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1854 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2800WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1484 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2365WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1080 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7713WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1555 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3566WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1929 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9186WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1641 - lr: 4.5400e-09
{'n_layers': 1, 'filter_unit0': 128, 'kernel_size0': 2, 'pool_size0': 5, 'stride_size0': 1, 'dropout0': 0.2}
1/39 [..............................] - ETA: 4s
20/39 [==============>...............] - ETA: 0s
38/39 [============================>.] - ETA: 0s
39/39 [==============================] - 0s 3ms/step
WARNING:tensorflow:Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.13
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.13
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.14
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.14
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.15
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.15
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.16
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.16
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.17
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.17
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.18
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.18
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.19
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.19
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.20
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.20
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.21
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.21
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.22
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.22
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.23
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.23
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.24
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.24
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.25
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.25
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.26
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.26
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.27
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.27
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.28
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.28
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.29
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.29
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.30
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.30
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.31
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.31
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.32
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.32
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.33
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.33
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.34
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.34
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.35
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.35
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.36
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.36
adding new entry
subject config_id mdl_str ... r2 pearsonr_coeff pearsonr_pval
0 Pilot02 0 linreg ... -9.864563 0.038776 0.364940
1 Pilot02 0 linreg ... -11.875765 0.070097 0.101171
2 Pilot02 0 linreg ... -11.069278 0.047023 0.271822
3 Pilot02 0 linreg ... -25.345517 0.016892 0.693177
4 Pilot02 0 linreg ... -15.299470 0.118749 0.005380
.. ... ... ... ... ... ... ...
463 Pilot02 1 cnn1d ... -4.078266 -0.060198 0.033611
464 Pilot03 1 cnn1d ... -1.944831 -0.112322 0.000433
465 Pilot02 1 cnn1d ... -0.624393 0.099391 0.000442
466 Pilot03 1 cnn1d ... -0.874047 -0.081670 0.010616
467 Pilot02 1 cnn1d ... -3.204918 -0.000019 0.999474
[468 rows x 18 columns]
imu-bvp_rr_Pilot02_id1_combi5.0-10.0-12.0-17.0-20.0
train
(35921, 11)
test
(364536, 10)
---CNN1D---
input shape: (1440, 7)
x shape: (110, 1440, 7)
Search: Running Trial #1
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
128 |128 |filter_unit0
5 |5 |kernel_size0
5 |5 |pool_size0
2 |2 |stride_size0
0.3 |0.3 |dropout0
[2K
[2K
Trial 1 Complete [00h 00m 03s]
val_loss: 19.48303985595703
Best val_loss So Far: 19.48303985595703
Total elapsed time: 00h 00m 03s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
64 |128 |filter_unit0
32 |None |filter_unit1
2 |5 |kernel_size0
5 |None |kernel_size1
3 |5 |pool_size0
5 |None |pool_size1
1 |2 |stride_size0
4 |None |stride_size1
0.4 |0.3 |dropout0
0.2 |None |dropout1
[2K
[2K
Trial 2 Complete [00h 00m 03s]
val_loss: 20.7824764251709
Best val_loss So Far: 19.48303985595703
Total elapsed time: 00h 00m 06s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
256 |128 |filter_unit0
2 |5 |kernel_size0
5 |5 |pool_size0
4 |2 |stride_size0
0 |0.3 |dropout0
[2K
[2K
Trial 3 Complete [00h 00m 03s]
val_loss: 19.645896911621094
Best val_loss So Far: 19.48303985595703
Total elapsed time: 00h 00m 09s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
32 |128 |filter_unit0
32 |None |filter_unit1
32 |None |filter_unit2
3 |5 |kernel_size0
2 |None |kernel_size1
1 |None |kernel_size2
3 |5 |pool_size0
1 |None |pool_size1
5 |None |pool_size2
4 |2 |stride_size0
1 |None |stride_size1
4 |None |stride_size2
0.1 |0.3 |dropout0
0.1 |None |dropout1
0.3 |None |dropout2
[2K
[2K
Trial 4 Complete [00h 00m 03s]
val_loss: 18.46847152709961
Best val_loss So Far: 18.46847152709961
Total elapsed time: 00h 00m 12s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
5 |3 |n_layers
64 |32 |filter_unit0
32 |32 |filter_unit1
64 |32 |filter_unit2
32 |None |filter_unit3
256 |None |filter_unit4
2 |3 |kernel_size0
3 |2 |kernel_size1
4 |1 |kernel_size2
4 |None |kernel_size3
5 |None |kernel_size4
5 |3 |pool_size0
3 |1 |pool_size1
4 |5 |pool_size2
3 |None |pool_size3
3 |None |pool_size4
2 |4 |stride_size0
2 |1 |stride_size1
5 |4 |stride_size2
1 |None |stride_size3
4 |None |stride_size4
0.1 |0.1 |dropout0
0.1 |0.1 |dropout1
0.3 |0.3 |dropout2
0.2 |None |dropout3
0.4 |None |dropout4
[2K
[2K
Trial 5 Complete [00h 00m 06s]
val_loss: 19.64683723449707
Best val_loss So Far: 18.46847152709961
Total elapsed time: 00h 00m 18s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
2 |3 |n_layers
64 |32 |filter_unit0
128 |32 |filter_unit1
4 |3 |kernel_size0
4 |2 |kernel_size1
5 |3 |pool_size0
5 |1 |pool_size1
3 |4 |stride_size0
3 |1 |stride_size1
0.3 |0.1 |dropout0
0.1 |0.1 |dropout1
[2K
[2K
Trial 6 Complete [00h 00m 03s]
val_loss: 20.145530700683594
Best val_loss So Far: 18.46847152709961
Total elapsed time: 00h 00m 20s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
3 |3 |n_layers
64 |32 |filter_unit0
128 |32 |filter_unit1
32 |32 |filter_unit2
4 |3 |kernel_size0
4 |2 |kernel_size1
3 |1 |kernel_size2
5 |3 |pool_size0
3 |1 |pool_size1
1 |5 |pool_size2
4 |4 |stride_size0
4 |1 |stride_size1
5 |4 |stride_size2
0 |0.1 |dropout0
0.1 |0.1 |dropout1
0 |0.3 |dropout2
[2K
[2K
Trial 7 Complete [00h 00m 03s]
val_loss: 19.436491012573242
Best val_loss So Far: 18.46847152709961
Total elapsed time: 00h 00m 24s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
1 |3 |n_layers
256 |32 |filter_unit0
5 |3 |kernel_size0
2 |3 |pool_size0
2 |4 |stride_size0
0.4 |0.1 |dropout0
[2K
[2K
Trial 8 Complete [00h 00m 03s]
val_loss: 19.609085083007812
Best val_loss So Far: 18.46847152709961
Total elapsed time: 00h 00m 26s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
2 |3 |n_layers
64 |32 |filter_unit0
32 |32 |filter_unit1
3 |3 |kernel_size0
5 |2 |kernel_size1
1 |3 |pool_size0
4 |1 |pool_size1
5 |4 |stride_size0
4 |1 |stride_size1
0.2 |0.1 |dropout0
0.3 |0.1 |dropout1
[2K
[2K
Trial 9 Complete [00h 00m 03s]
val_loss: 20.58416175842285
Best val_loss So Far: 18.46847152709961
Total elapsed time: 00h 00m 30s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
5 |3 |n_layers
64 |32 |filter_unit0
128 |32 |filter_unit1
32 |32 |filter_unit2
256 |None |filter_unit3
32 |None |filter_unit4
1 |3 |kernel_size0
4 |2 |kernel_size1
4 |1 |kernel_size2
1 |None |kernel_size3
3 |None |kernel_size4
3 |3 |pool_size0
2 |1 |pool_size1
4 |5 |pool_size2
4 |None |pool_size3
1 |None |pool_size4
4 |4 |stride_size0
1 |1 |stride_size1
2 |4 |stride_size2
2 |None |stride_size3
4 |None |stride_size4
0 |0.1 |dropout0
0.4 |0.1 |dropout1
0.3 |0.3 |dropout2
0.3 |None |dropout3
0.2 |None |dropout4
[2K
[2K
Trial 10 Complete [00h 00m 05s]
val_loss: 20.022336959838867
Best val_loss So Far: 18.46847152709961
Total elapsed time: 00h 00m 35s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
3 |3 |n_layers
128 |32 |filter_unit0
64 |32 |filter_unit1
128 |32 |filter_unit2
2 |3 |kernel_size0
1 |2 |kernel_size1
4 |1 |kernel_size2
3 |3 |pool_size0
5 |1 |pool_size1
2 |5 |pool_size2
5 |4 |stride_size0
4 |1 |stride_size1
5 |4 |stride_size2
0.3 |0.1 |dropout0
0.3 |0.1 |dropout1
0 |0.3 |dropout2
[2K
[2K
Trial 11 Complete [00h 00m 04s]
val_loss: 19.612049102783203
Best val_loss So Far: 18.46847152709961
Total elapsed time: 00h 00m 39s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
1 |3 |n_layers
128 |32 |filter_unit0
4 |3 |kernel_size0
2 |3 |pool_size0
1 |4 |stride_size0
0.1 |0.1 |dropout0
[2K
[2K
Trial 12 Complete [00h 00m 03s]
val_loss: 19.27562713623047
Best val_loss So Far: 18.46847152709961
Total elapsed time: 00h 00m 42s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
3 |3 |n_layers
32 |32 |filter_unit0
32 |32 |filter_unit1
128 |32 |filter_unit2
3 |3 |kernel_size0
2 |2 |kernel_size1
5 |1 |kernel_size2
3 |3 |pool_size0
3 |1 |pool_size1
3 |5 |pool_size2
3 |4 |stride_size0
4 |1 |stride_size1
5 |4 |stride_size2
0.3 |0.1 |dropout0
0.2 |0.1 |dropout1
0.2 |0.3 |dropout2
[2K
[2K
Trial 13 Complete [00h 00m 04s]
val_loss: 20.064184188842773
Best val_loss So Far: 18.46847152709961
Total elapsed time: 00h 00m 46s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
3 |3 |n_layers
256 |32 |filter_unit0
256 |32 |filter_unit1
32 |32 |filter_unit2
2 |3 |kernel_size0
1 |2 |kernel_size1
2 |1 |kernel_size2
1 |3 |pool_size0
5 |1 |pool_size1
5 |5 |pool_size2
2 |4 |stride_size0
4 |1 |stride_size1
5 |4 |stride_size2
0.3 |0.1 |dropout0
0.1 |0.1 |dropout1
0.4 |0.3 |dropout2
[2K
[2K
Trial 14 Complete [00h 00m 04s]
val_loss: 19.741731643676758
Best val_loss So Far: 18.46847152709961
Total elapsed time: 00h 00m 50s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
2 |3 |n_layers
32 |32 |filter_unit0
32 |32 |filter_unit1
3 |3 |kernel_size0
5 |2 |kernel_size1
4 |3 |pool_size0
1 |1 |pool_size1
5 |4 |stride_size0
4 |1 |stride_size1
0.4 |0.1 |dropout0
0.2 |0.1 |dropout1
[2K
[2K
Trial 15 Complete [00h 00m 03s]
val_loss: 20.57038116455078
Best val_loss So Far: 18.46847152709961
Total elapsed time: 00h 00m 53s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
2 |3 |n_layers
128 |32 |filter_unit0
128 |32 |filter_unit1
5 |3 |kernel_size0
2 |2 |kernel_size1
4 |3 |pool_size0
3 |1 |pool_size1
3 |4 |stride_size0
1 |1 |stride_size1
0.3 |0.1 |dropout0
0.2 |0.1 |dropout1
[2K
[2K
Trial 16 Complete [00h 00m 03s]
val_loss: 21.256492614746094
Best val_loss So Far: 18.46847152709961
Total elapsed time: 00h 00m 56s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
2 |3 |n_layers
32 |32 |filter_unit0
32 |32 |filter_unit1
3 |3 |kernel_size0
5 |2 |kernel_size1
4 |3 |pool_size0
3 |1 |pool_size1
4 |4 |stride_size0
1 |1 |stride_size1
0.4 |0.1 |dropout0
0.3 |0.1 |dropout1
[2K
[2K
Trial 17 Complete [00h 00m 03s]
val_loss: 20.174236297607422
Best val_loss So Far: 18.46847152709961
Total elapsed time: 00h 00m 59s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
1 |3 |n_layers
64 |32 |filter_unit0
2 |3 |kernel_size0
5 |3 |pool_size0
4 |4 |stride_size0
0.2 |0.1 |dropout0
[2K
[2K
Trial 18 Complete [00h 00m 02s]
val_loss: 22.52480697631836
Best val_loss So Far: 18.46847152709961
Total elapsed time: 00h 01m 01s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
4 |3 |n_layers
32 |32 |filter_unit0
64 |32 |filter_unit1
32 |32 |filter_unit2
32 |None |filter_unit3
2 |3 |kernel_size0
5 |2 |kernel_size1
4 |1 |kernel_size2
1 |None |kernel_size3
1 |3 |pool_size0
4 |1 |pool_size1
5 |5 |pool_size2
3 |None |pool_size3
1 |4 |stride_size0
3 |1 |stride_size1
1 |4 |stride_size2
1 |None |stride_size3
0.4 |0.1 |dropout0
0.4 |0.1 |dropout1
0.4 |0.3 |dropout2
0.3 |None |dropout3
[2K
[2K
Trial 19 Complete [00h 00m 05s]
val_loss: 20.01707649230957
Best val_loss So Far: 18.46847152709961
Total elapsed time: 00h 01m 06s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
5 |3 |n_layers
32 |32 |filter_unit0
128 |32 |filter_unit1
32 |32 |filter_unit2
128 |None |filter_unit3
64 |None |filter_unit4
4 |3 |kernel_size0
1 |2 |kernel_size1
5 |1 |kernel_size2
1 |None |kernel_size3
3 |None |kernel_size4
1 |3 |pool_size0
1 |1 |pool_size1
3 |5 |pool_size2
2 |None |pool_size3
5 |None |pool_size4
2 |4 |stride_size0
2 |1 |stride_size1
3 |4 |stride_size2
5 |None |stride_size3
3 |None |stride_size4
0.2 |0.1 |dropout0
0.3 |0.1 |dropout1
0 |0.3 |dropout2
0.3 |None |dropout3
0.1 |None |dropout4
[2K
[2K
Trial 20 Complete [00h 00m 06s]
val_loss: 19.87238311767578
Best val_loss So Far: 18.46847152709961
Total elapsed time: 00h 01m 11s
{'n_layers': 3, 'filter_unit0': 32, 'filter_unit1': 32, 'filter_unit2': 32, 'kernel_size0': 3, 'kernel_size1': 2, 'kernel_size2': 1, 'pool_size0': 3, 'pool_size1': 1, 'pool_size2': 5, 'stride_size0': 4, 'stride_size1': 1, 'stride_size2': 4, 'dropout0': 0.1, 'dropout1': 0.1, 'dropout2': 0.30000000000000004}
Epoch 1/200
1/4 [======>.......................] - ETA: 6s - loss: 10.1612WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 2s 14ms/step - loss: 10.2296 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 10.3338WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 9.8766 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 8.7019WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 9.6065 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 8.5745WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 9.4913 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 9.1915WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 9.1889 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 8.6175WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 8.7180 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 8.2164WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 8.7515 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 8.2437WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 8.5850 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 8.6165WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 8.0640 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 7.4215WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 8.4320 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 7.4205WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.7578 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 7.9725WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.6165 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 9.2283WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.6325 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 6.7592WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.3548 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 8.6878WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.2656 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 7.5888WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 6.9445 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 7.7639WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.1719 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 6.1287WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 6.7379 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1312WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 6.3306 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 6.0840WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 6.8436 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3787WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 6.4355 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 5.6561WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 6.3803 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 8.2686WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 6.2422 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 6.6583WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 6.0959 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 6.2460WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 6.1334 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 7.7993WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 6.2137 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 6.2349WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 6.0828 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 6.4875WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.9806 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 5.6305WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.8408 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 6.8053WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 6.0841 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 5.9562WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.6145 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0199WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.7629 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 5.9663WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.7216 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9489WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.4622 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 6.3530WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.9870 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3865WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.5705 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8306WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.4063 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6734WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.5099 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4319WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.6038 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0871WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.3174 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 5.7748WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.2696 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 6.5852WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.3238 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0726WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.1503 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1787WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.1272 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 5.6220WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.0501 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3061WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.2087 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9047WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.8439 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5237WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.7176 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8580WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.1294 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5827WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.8454 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6036WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.7208 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3738WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.6517 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8791WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.8018 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0277WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.7318 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4271WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.9023 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2560WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.8539 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1140WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.4925 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6051WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.6547 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0497WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.7272 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0519WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.7734 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1333WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.4279 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7563WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.3905 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5353WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.7025 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0923WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.3574 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4689WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1388 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3213WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.5604 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5976WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.4150 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3013WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2495 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9625WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.7471 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0582WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.5794 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9403WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.4357 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2926WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.0955 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5203WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2478 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3627WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.4005 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5471WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2540 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8629WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.4462 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1968WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.0785 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7856WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2524 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0590WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1905 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8158WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.9126 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3949WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.7796 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0922WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.0955 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5018WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.0846 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4506WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.9073 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3604WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1973 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1209WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.8825 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5561WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.0571 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5620WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.8355 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4226WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.8565 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1134WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1251 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5977WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.0409 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9227WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.8789 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4310WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.8799 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9618WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.0244 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7518WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.9125 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8383WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.7188 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8243WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.7876 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0080WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.9404 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1281WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.6270 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1318WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.8155 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9831WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.9593 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0226WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.8648 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6319WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.7290 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2054WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.7336 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2822WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.7043 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2982WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.9144 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0988WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.6497 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2342WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.6093 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1844WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.9232 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9879WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.0631 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6515WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.4442 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5316WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.6799 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7535WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.7776 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8242WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.8167 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0578WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.7920 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4783WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.5522 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1872WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.3415 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6588WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.4505 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7501WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.8590 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8874WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.4392 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7284WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.6582 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5814WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.4769 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6199WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.6962 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9727WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.0080 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3767WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.4720 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6912WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.5043 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5620WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.8687 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1708WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.5372 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6434WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.7462 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5072WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.4909 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0494WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.3488 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4931WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.5303 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2125WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.8898 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1027WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.6947 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5192WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.5841 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3179WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.5487 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0398WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.5234 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2730WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.5160 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0417WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.4770 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3776WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.8928 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2433WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.7773 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8861WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.3844 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3610WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.7702 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4115WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.5644 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7013WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.6774 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4262WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.7080 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4843WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.5496 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8843WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.6814 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4513WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.5933 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1538WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.6326 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1826WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.8600 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5833WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.7086 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8222WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.8216 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0323WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.4783 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5438WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.5559 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5264WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.7208 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6008WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.4754 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6095WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.6510 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5260WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.6028 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4407WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.5355 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7270WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.4894 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9909WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.5756 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7048WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.6907 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8314WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.5865 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3733WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.6163 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9356WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.5003 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0827WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.7671 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7097WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.7968 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6208WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.6906 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0169WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.6495 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6552WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.5597 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4632WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.7932 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3880WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.6449 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5816WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.5066 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3381WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.5999 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6144WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.7367 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4683WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.4867 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0954WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.8313 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2347WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.5082 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7410WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.3533 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3490WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.4199 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1566WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.8938 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7602WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.5965 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4339WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.7471 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1427WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.6917 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2100WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.6050 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4416WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.8516 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6240WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.5523 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0881WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.6684 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3856WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.4367 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7892WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.5832 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4360WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.7261 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2282WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.6498 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4412WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.4319 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0167WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.5790 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8776WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.6271 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9546WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.2827 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2313WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.5380 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0300WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.5974 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2523WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.6480 - lr: 4.5400e-09
{'n_layers': 3, 'filter_unit0': 32, 'filter_unit1': 32, 'filter_unit2': 32, 'kernel_size0': 3, 'kernel_size1': 2, 'kernel_size2': 1, 'pool_size0': 3, 'pool_size1': 1, 'pool_size2': 5, 'stride_size0': 4, 'stride_size1': 1, 'stride_size2': 4, 'dropout0': 0.1, 'dropout1': 0.1, 'dropout2': 0.30000000000000004}
1/39 [..............................] - ETA: 9s
31/39 [======================>.......] - ETA: 0s
39/39 [==============================] - 0s 2ms/step
WARNING:tensorflow:Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
adding new entry
subject config_id mdl_str ... r2 pearsonr_coeff pearsonr_pval
0 Pilot02 0 linreg ... -9.864563 0.038776 0.364940
1 Pilot02 0 linreg ... -11.875765 0.070097 0.101171
2 Pilot02 0 linreg ... -11.069278 0.047023 0.271822
3 Pilot02 0 linreg ... -25.345517 0.016892 0.693177
4 Pilot02 0 linreg ... -15.299470 0.118749 0.005380
.. ... ... ... ... ... ... ...
464 Pilot03 1 cnn1d ... -1.944831 -0.112322 0.000433
465 Pilot02 1 cnn1d ... -0.624393 0.099391 0.000442
466 Pilot03 1 cnn1d ... -0.874047 -0.081670 0.010616
467 Pilot02 1 cnn1d ... -3.204918 -0.000019 0.999474
468 Pilot02 1 cnn1d ... -7.105183 -0.024868 0.380458
[469 rows x 18 columns]
imu-bvp_rr_Pilot02_id1_combi5.0-10.0-15.0-17.0-20.0
train
(35921, 11)
test
(364536, 10)
---CNN1D---
input shape: (1440, 7)
x shape: (110, 1440, 7)
Search: Running Trial #1
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
256 |256 |filter_unit0
5 |5 |kernel_size0
4 |4 |pool_size0
5 |5 |stride_size0
0.2 |0.2 |dropout0
[2K
[2K
Trial 1 Complete [00h 00m 03s]
val_loss: 20.354515075683594
Best val_loss So Far: 20.354515075683594
Total elapsed time: 00h 00m 03s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
256 |256 |filter_unit0
128 |None |filter_unit1
128 |None |filter_unit2
256 |None |filter_unit3
32 |None |filter_unit4
1 |5 |kernel_size0
5 |None |kernel_size1
4 |None |kernel_size2
3 |None |kernel_size3
5 |None |kernel_size4
1 |4 |pool_size0
1 |None |pool_size1
1 |None |pool_size2
2 |None |pool_size3
5 |None |pool_size4
2 |5 |stride_size0
5 |None |stride_size1
2 |None |stride_size2
5 |None |stride_size3
3 |None |stride_size4
0.3 |0.2 |dropout0
0.2 |None |dropout1
0 |None |dropout2
0.1 |None |dropout3
0 |None |dropout4
[2K
[2K
Trial 2 Complete [00h 00m 06s]
val_loss: 19.717798233032227
Best val_loss So Far: 19.717798233032227
Total elapsed time: 00h 00m 10s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
5 |5 |n_layers
128 |256 |filter_unit0
64 |128 |filter_unit1
256 |128 |filter_unit2
256 |256 |filter_unit3
64 |32 |filter_unit4
3 |1 |kernel_size0
4 |5 |kernel_size1
2 |4 |kernel_size2
3 |3 |kernel_size3
2 |5 |kernel_size4
4 |1 |pool_size0
5 |1 |pool_size1
4 |1 |pool_size2
3 |2 |pool_size3
4 |5 |pool_size4
3 |2 |stride_size0
2 |5 |stride_size1
2 |2 |stride_size2
4 |5 |stride_size3
2 |3 |stride_size4
0.2 |0.3 |dropout0
0.3 |0.2 |dropout1
0.2 |0 |dropout2
0 |0.1 |dropout3
0 |0 |dropout4
[2K
[2K
Trial 3 Complete [00h 00m 05s]
val_loss: 19.754961013793945
Best val_loss So Far: 19.717798233032227
Total elapsed time: 00h 00m 15s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
1 |5 |n_layers
32 |256 |filter_unit0
5 |1 |kernel_size0
4 |1 |pool_size0
1 |2 |stride_size0
0 |0.3 |dropout0
[2K
[2K
Trial 4 Complete [00h 00m 02s]
val_loss: 19.12824821472168
Best val_loss So Far: 19.12824821472168
Total elapsed time: 00h 00m 17s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
32 |32 |filter_unit0
256 |None |filter_unit1
128 |None |filter_unit2
256 |None |filter_unit3
4 |5 |kernel_size0
4 |None |kernel_size1
3 |None |kernel_size2
2 |None |kernel_size3
4 |4 |pool_size0
1 |None |pool_size1
2 |None |pool_size2
2 |None |pool_size3
2 |1 |stride_size0
2 |None |stride_size1
4 |None |stride_size2
5 |None |stride_size3
0.2 |0 |dropout0
0 |None |dropout1
0 |None |dropout2
0 |None |dropout3
[2K
[2K
Trial 5 Complete [00h 00m 05s]
val_loss: 19.519407272338867
Best val_loss So Far: 19.12824821472168
Total elapsed time: 00h 00m 23s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
128 |32 |filter_unit0
5 |5 |kernel_size0
5 |4 |pool_size0
4 |1 |stride_size0
0.4 |0 |dropout0
[2K
[2K
Trial 6 Complete [00h 00m 02s]
val_loss: 20.645875930786133
Best val_loss So Far: 19.12824821472168
Total elapsed time: 00h 00m 25s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
64 |32 |filter_unit0
32 |None |filter_unit1
4 |5 |kernel_size0
5 |None |kernel_size1
3 |4 |pool_size0
1 |None |pool_size1
5 |1 |stride_size0
4 |None |stride_size1
0.4 |0 |dropout0
0 |None |dropout1
[2K
[2K
Trial 7 Complete [00h 00m 03s]
val_loss: 20.660633087158203
Best val_loss So Far: 19.12824821472168
Total elapsed time: 00h 00m 29s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
64 |32 |filter_unit0
256 |None |filter_unit1
32 |None |filter_unit2
3 |5 |kernel_size0
3 |None |kernel_size1
5 |None |kernel_size2
5 |4 |pool_size0
2 |None |pool_size1
1 |None |pool_size2
2 |1 |stride_size0
2 |None |stride_size1
5 |None |stride_size2
0.1 |0 |dropout0
0.1 |None |dropout1
0.4 |None |dropout2
[2K
[2K
Trial 8 Complete [00h 00m 05s]
val_loss: 19.39665985107422
Best val_loss So Far: 19.12824821472168
Total elapsed time: 00h 00m 33s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
64 |32 |filter_unit0
64 |None |filter_unit1
32 |None |filter_unit2
256 |None |filter_unit3
5 |5 |kernel_size0
5 |None |kernel_size1
3 |None |kernel_size2
4 |None |kernel_size3
4 |4 |pool_size0
4 |None |pool_size1
4 |None |pool_size2
1 |None |pool_size3
4 |1 |stride_size0
4 |None |stride_size1
4 |None |stride_size2
1 |None |stride_size3
0.3 |0 |dropout0
0.1 |None |dropout1
0 |None |dropout2
0 |None |dropout3
[2K
[2K
Trial 9 Complete [00h 00m 05s]
val_loss: 19.76679229736328
Best val_loss So Far: 19.12824821472168
Total elapsed time: 00h 00m 38s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
64 |32 |filter_unit0
3 |5 |kernel_size0
3 |4 |pool_size0
5 |1 |stride_size0
0.2 |0 |dropout0
[2K
[2K
Trial 10 Complete [00h 00m 03s]
val_loss: 18.059940338134766
Best val_loss So Far: 18.059940338134766
Total elapsed time: 00h 00m 40s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
256 |64 |filter_unit0
128 |None |filter_unit1
256 |None |filter_unit2
32 |None |filter_unit3
1 |3 |kernel_size0
3 |None |kernel_size1
2 |None |kernel_size2
1 |None |kernel_size3
3 |3 |pool_size0
5 |None |pool_size1
4 |None |pool_size2
4 |None |pool_size3
3 |5 |stride_size0
3 |None |stride_size1
2 |None |stride_size2
4 |None |stride_size3
0 |0.2 |dropout0
0.3 |None |dropout1
0.3 |None |dropout2
0.4 |None |dropout3
[2K
[2K
Trial 11 Complete [00h 00m 06s]
val_loss: 19.81037712097168
Best val_loss So Far: 18.059940338134766
Total elapsed time: 00h 00m 46s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
64 |64 |filter_unit0
128 |None |filter_unit1
32 |None |filter_unit2
5 |3 |kernel_size0
2 |None |kernel_size1
4 |None |kernel_size2
3 |3 |pool_size0
1 |None |pool_size1
3 |None |pool_size2
1 |5 |stride_size0
1 |None |stride_size1
1 |None |stride_size2
0.3 |0.2 |dropout0
0 |None |dropout1
0.1 |None |dropout2
[2K
[2K
Trial 12 Complete [00h 00m 04s]
val_loss: 21.746044158935547
Best val_loss So Far: 18.059940338134766
Total elapsed time: 00h 00m 50s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
128 |64 |filter_unit0
32 |None |filter_unit1
5 |3 |kernel_size0
3 |None |kernel_size1
2 |3 |pool_size0
2 |None |pool_size1
2 |5 |stride_size0
5 |None |stride_size1
0.4 |0.2 |dropout0
0 |None |dropout1
[2K
[2K
Trial 13 Complete [00h 00m 04s]
val_loss: 20.762359619140625
Best val_loss So Far: 18.059940338134766
Total elapsed time: 00h 00m 54s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
128 |64 |filter_unit0
256 |None |filter_unit1
128 |None |filter_unit2
128 |None |filter_unit3
2 |3 |kernel_size0
4 |None |kernel_size1
2 |None |kernel_size2
3 |None |kernel_size3
4 |3 |pool_size0
3 |None |pool_size1
5 |None |pool_size2
1 |None |pool_size3
1 |5 |stride_size0
4 |None |stride_size1
4 |None |stride_size2
3 |None |stride_size3
0.1 |0.2 |dropout0
0.3 |None |dropout1
0.1 |None |dropout2
0.2 |None |dropout3
[2K
[2K
Trial 14 Complete [00h 00m 06s]
val_loss: 19.198305130004883
Best val_loss So Far: 18.059940338134766
Total elapsed time: 00h 01m 00s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
32 |64 |filter_unit0
3 |3 |kernel_size0
1 |3 |pool_size0
2 |5 |stride_size0
0.3 |0.2 |dropout0
[2K
[2K
Trial 15 Complete [00h 00m 02s]
val_loss: 18.72052574157715
Best val_loss So Far: 18.059940338134766
Total elapsed time: 00h 01m 02s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
32 |64 |filter_unit0
32 |None |filter_unit1
4 |3 |kernel_size0
4 |None |kernel_size1
5 |3 |pool_size0
2 |None |pool_size1
3 |5 |stride_size0
1 |None |stride_size1
0.4 |0.2 |dropout0
0.2 |None |dropout1
[2K
[2K
Trial 16 Complete [00h 00m 03s]
val_loss: 20.388580322265625
Best val_loss So Far: 18.059940338134766
Total elapsed time: 00h 01m 05s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
128 |64 |filter_unit0
3 |3 |kernel_size0
3 |3 |pool_size0
5 |5 |stride_size0
0.2 |0.2 |dropout0
[2K
[2K
Trial 17 Complete [00h 00m 02s]
val_loss: 21.486692428588867
Best val_loss So Far: 18.059940338134766
Total elapsed time: 00h 01m 07s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
64 |64 |filter_unit0
4 |3 |kernel_size0
5 |3 |pool_size0
3 |5 |stride_size0
0 |0.2 |dropout0
[2K
[2K
Trial 18 Complete [00h 00m 02s]
val_loss: 20.747840881347656
Best val_loss So Far: 18.059940338134766
Total elapsed time: 00h 01m 09s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
128 |64 |filter_unit0
128 |None |filter_unit1
256 |None |filter_unit2
2 |3 |kernel_size0
5 |None |kernel_size1
3 |None |kernel_size2
4 |3 |pool_size0
3 |None |pool_size1
3 |None |pool_size2
2 |5 |stride_size0
2 |None |stride_size1
5 |None |stride_size2
0.1 |0.2 |dropout0
0 |None |dropout1
0.4 |None |dropout2
[2K
[2K
Trial 19 Complete [00h 00m 04s]
val_loss: 19.607202529907227
Best val_loss So Far: 18.059940338134766
Total elapsed time: 00h 01m 14s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
32 |64 |filter_unit0
64 |None |filter_unit1
256 |None |filter_unit2
3 |3 |kernel_size0
2 |None |kernel_size1
3 |None |kernel_size2
3 |3 |pool_size0
5 |None |pool_size1
1 |None |pool_size2
5 |5 |stride_size0
1 |None |stride_size1
3 |None |stride_size2
0 |0.2 |dropout0
0.4 |None |dropout1
0.4 |None |dropout2
[2K
[2K
Trial 20 Complete [00h 00m 04s]
val_loss: 20.251482009887695
Best val_loss So Far: 18.059940338134766
Total elapsed time: 00h 01m 17s
{'n_layers': 1, 'filter_unit0': 64, 'kernel_size0': 3, 'pool_size0': 3, 'stride_size0': 5, 'dropout0': 0.2}
Epoch 1/200
1/4 [======>.......................] - ETA: 2s - loss: 6.6684WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 1s 12ms/step - loss: 6.7276 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 6.7043WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 6.7314 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 6.7099WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 6.4854 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 6.5608WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 6.4209 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 6.6364WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 6.3040 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 6.2249WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 6.2402 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 5.9965WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 6.1544 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 6.6255WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 6.0488 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8133WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.8873 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4685WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.8260 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 6.3581WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.6644 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 6.2590WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.7129 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4019WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.6384 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 6.1023WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.5407 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8294WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.6095 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8587WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.4087 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 6.1298WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.4820 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2123WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.3044 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 5.5120WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.2505 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 5.5779WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.2111 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 5.5495WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.1661 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1034WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.1308 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 5.5506WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.1282 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4940WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.0891 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8584WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.0149 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0446WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.9280 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4015WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.0077 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1263WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.8284 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7714WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.8669 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0957WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.7583 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7741WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.8000 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0984WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.7353 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0727WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.7439 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7847WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.7163 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4091WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.5639 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4492WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.6083 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7882WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.5447 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7087WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.5880 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3432WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.4552 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1258WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.4858 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1647WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.4086 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1545WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.3418 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6048WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2937 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5233WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.3322 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1988WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1652 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6308WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2745 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3738WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2322 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4342WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1590 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1429WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.0239 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0830WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1744 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9030WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1154 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3878WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1723 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9464WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.0384 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6055WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.0499 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6951WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.9855 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4879WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.9192 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3572WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.9094 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9269WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.9025 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7481WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.8127 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7749WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.7836 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3837WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.8389 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7245WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.7156 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5436WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.8122 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9278WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.6524 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7775WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.5586 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6496WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.7057 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7828WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.6396 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9983WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.6709 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8106WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.7202 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5615WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.6891 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5640WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.5807 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6349WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.4159 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5876WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.5869 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2330WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.5800 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6883WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.5578 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8336WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.4275 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5434WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.4408 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3082WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.4383 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0956WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.3979 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3503WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.4343 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2281WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.3584 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0045WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.3077 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8983WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.3757 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0412WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.2864 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3549WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.3965 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8292WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.3194 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9462WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.2444 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3830WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.3864 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9554WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.2593 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6648WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.3167 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6767WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.2308 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0221WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.2291 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4795WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.2583 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1472WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.2231 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0751WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.1716 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4687WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.2733 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5721WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.1694 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9831WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0405 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8893WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0928 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7984WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.1525 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7451WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.1141 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8659WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.1535 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7930WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.1106 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7584WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0841 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9114WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9817 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7703WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.1955 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8505WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.1338 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7449WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9197 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9504WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9956 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2538WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0103 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2743WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9622 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0378WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9760 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6748WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.1137 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1481WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0482 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0305WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0154 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0582WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0074 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0947WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0497 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3615WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9933 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9316WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9819 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5409WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9961 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6474WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0720 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5551WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0219 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9826WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9451 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2266WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9644 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3247WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0612 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9698WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.1052 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1483WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0163 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2141WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0178 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9043WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0391 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6568WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0279 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8578WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0198 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1733WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9997 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2338WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9969 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8238WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9407 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6806WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9760 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8590WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0398 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1151WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0271 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2050WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0332 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5281WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9459 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7673WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9219 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0649WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.8721 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0416WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9213 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1567WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9813 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5736WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0134 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1250WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9688 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1421WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0425 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2485WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0353 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1457WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0126 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6616WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9697 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8782WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0109 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3127WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0271 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7438WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9549 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2965WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.8974 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5921WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9824 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9065WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0659 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8457WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0353 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1587WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0667 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0084WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9054 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9062WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9822 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9737WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9445 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2588WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0126 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2756WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0181 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9951WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0129 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9017WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9803 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8095WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.8903 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9208WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0451 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2387WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9527 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2226WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9910 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0593WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9261 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9996WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0364 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7592WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0271 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0658WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0432 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6609WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9884 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8922WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9884 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4669WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9254 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4197WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9301 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0744WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0549 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8539WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9704 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8010WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0445 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5805WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0033 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9325WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0586 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0328WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0119 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3166WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0463 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9293WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9838 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8492WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9055 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5819WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9597 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9994WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0146 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7799WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9836 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4860WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9506 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5137WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9443 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8401WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.8813 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4860WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9874 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9593WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9493 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0291WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0590 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9629WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9586 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4558WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.1135 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0582WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0170 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2011WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9856 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2845WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0583 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9238WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0122 - lr: 4.5400e-09
{'n_layers': 1, 'filter_unit0': 64, 'kernel_size0': 3, 'pool_size0': 3, 'stride_size0': 5, 'dropout0': 0.2}
1/39 [..............................] - ETA: 4s
30/39 [======================>.......] - ETA: 0s
39/39 [==============================] - 0s 2ms/step
WARNING:tensorflow:Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.13
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.13
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.14
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.14
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.15
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.15
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.16
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.16
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.17
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.17
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.18
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.18
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.19
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.19
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.20
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.20
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.21
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.21
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.22
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.22
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.23
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.23
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.24
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.24
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.25
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.25
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.26
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.26
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.27
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.27
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.28
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.28
adding new entry
subject config_id mdl_str ... r2 pearsonr_coeff pearsonr_pval
0 Pilot02 0 linreg ... -9.864563 0.038776 0.364940
1 Pilot02 0 linreg ... -11.875765 0.070097 0.101171
2 Pilot02 0 linreg ... -11.069278 0.047023 0.271822
3 Pilot02 0 linreg ... -25.345517 0.016892 0.693177
4 Pilot02 0 linreg ... -15.299470 0.118749 0.005380
.. ... ... ... ... ... ... ...
466 Pilot03 1 cnn1d ... -0.874047 -0.081670 0.010616
467 Pilot02 1 cnn1d ... -3.204918 -0.000019 0.999474
468 Pilot02 1 cnn1d ... -7.105183 -0.024868 0.380458
469 Pilot03 1 cnn1d ... -1.055924 -0.124536 0.000094
470 Pilot02 1 cnn1d ... -2.355931 -0.002365 0.933531
[471 rows x 18 columns]
imu-bvp_rr_Pilot02_id1_combi5.0-12.0-15.0-17.0-20.0
train
(35921, 11)
test
(364536, 10)
---CNN1D---
input shape: (1440, 7)
x shape: (115, 1440, 7)
Search: Running Trial #1
Value |Best Value So Far |Hyperparameter
2 |2 |n_layers
32 |32 |filter_unit0
128 |128 |filter_unit1
4 |4 |kernel_size0
4 |4 |kernel_size1
4 |4 |pool_size0
4 |4 |pool_size1
3 |3 |stride_size0
4 |4 |stride_size1
0.3 |0.3 |dropout0
0.1 |0.1 |dropout1
[2K
[2K
Trial 1 Complete [00h 00m 03s]
val_loss: 21.419540405273438
Best val_loss So Far: 21.419540405273438
Total elapsed time: 00h 00m 03s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
5 |2 |n_layers
256 |32 |filter_unit0
128 |128 |filter_unit1
128 |None |filter_unit2
128 |None |filter_unit3
256 |None |filter_unit4
3 |4 |kernel_size0
4 |4 |kernel_size1
3 |None |kernel_size2
1 |None |kernel_size3
1 |None |kernel_size4
4 |4 |pool_size0
1 |4 |pool_size1
5 |None |pool_size2
4 |None |pool_size3
5 |None |pool_size4
3 |3 |stride_size0
1 |4 |stride_size1
1 |None |stride_size2
1 |None |stride_size3
1 |None |stride_size4
0.3 |0.3 |dropout0
0.4 |0.1 |dropout1
0.1 |None |dropout2
0.2 |None |dropout3
0.4 |None |dropout4
[2K
[2K
Trial 2 Complete [00h 00m 07s]
val_loss: 19.42477035522461
Best val_loss So Far: 19.42477035522461
Total elapsed time: 00h 00m 10s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
5 |5 |n_layers
256 |256 |filter_unit0
128 |128 |filter_unit1
32 |128 |filter_unit2
128 |128 |filter_unit3
128 |256 |filter_unit4
3 |3 |kernel_size0
3 |4 |kernel_size1
4 |3 |kernel_size2
3 |1 |kernel_size3
4 |1 |kernel_size4
3 |4 |pool_size0
1 |1 |pool_size1
3 |5 |pool_size2
3 |4 |pool_size3
4 |5 |pool_size4
1 |3 |stride_size0
3 |1 |stride_size1
3 |1 |stride_size2
3 |1 |stride_size3
2 |1 |stride_size4
0.4 |0.3 |dropout0
0.1 |0.4 |dropout1
0 |0.1 |dropout2
0.2 |0.2 |dropout3
0 |0.4 |dropout4
[2K
[2K
Trial 3 Complete [00h 00m 07s]
val_loss: 18.878856658935547
Best val_loss So Far: 18.878856658935547
Total elapsed time: 00h 00m 16s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
3 |5 |n_layers
64 |256 |filter_unit0
128 |128 |filter_unit1
128 |32 |filter_unit2
1 |3 |kernel_size0
3 |3 |kernel_size1
5 |4 |kernel_size2
4 |3 |pool_size0
5 |1 |pool_size1
3 |3 |pool_size2
2 |1 |stride_size0
3 |3 |stride_size1
3 |3 |stride_size2
0 |0.4 |dropout0
0 |0.1 |dropout1
0.1 |0 |dropout2
[2K
[2K
Trial 4 Complete [00h 00m 04s]
val_loss: 19.53423309326172
Best val_loss So Far: 18.878856658935547
Total elapsed time: 00h 00m 20s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
4 |5 |n_layers
64 |256 |filter_unit0
128 |128 |filter_unit1
256 |32 |filter_unit2
64 |128 |filter_unit3
1 |3 |kernel_size0
5 |3 |kernel_size1
5 |4 |kernel_size2
2 |3 |kernel_size3
1 |3 |pool_size0
5 |1 |pool_size1
2 |3 |pool_size2
1 |3 |pool_size3
4 |1 |stride_size0
3 |3 |stride_size1
5 |3 |stride_size2
5 |3 |stride_size3
0.2 |0.4 |dropout0
0.3 |0.1 |dropout1
0.1 |0 |dropout2
0.2 |0.2 |dropout3
[2K
[2K
Trial 5 Complete [00h 00m 05s]
val_loss: 19.81926918029785
Best val_loss So Far: 18.878856658935547
Total elapsed time: 00h 00m 25s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
3 |5 |n_layers
32 |256 |filter_unit0
256 |128 |filter_unit1
64 |32 |filter_unit2
2 |3 |kernel_size0
1 |3 |kernel_size1
5 |4 |kernel_size2
5 |3 |pool_size0
1 |1 |pool_size1
3 |3 |pool_size2
3 |1 |stride_size0
2 |3 |stride_size1
5 |3 |stride_size2
0.4 |0.4 |dropout0
0.3 |0.1 |dropout1
0.3 |0 |dropout2
[2K
[2K
Trial 6 Complete [00h 00m 04s]
val_loss: 19.382278442382812
Best val_loss So Far: 18.878856658935547
Total elapsed time: 00h 00m 28s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
4 |5 |n_layers
32 |256 |filter_unit0
256 |128 |filter_unit1
64 |32 |filter_unit2
64 |128 |filter_unit3
1 |3 |kernel_size0
2 |3 |kernel_size1
5 |4 |kernel_size2
4 |3 |kernel_size3
5 |3 |pool_size0
1 |1 |pool_size1
2 |3 |pool_size2
5 |3 |pool_size3
3 |1 |stride_size0
1 |3 |stride_size1
3 |3 |stride_size2
4 |3 |stride_size3
0.4 |0.4 |dropout0
0.2 |0.1 |dropout1
0 |0 |dropout2
0.3 |0.2 |dropout3
[2K
[2K
Trial 7 Complete [00h 00m 06s]
val_loss: 19.619895935058594
Best val_loss So Far: 18.878856658935547
Total elapsed time: 00h 00m 34s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
1 |5 |n_layers
128 |256 |filter_unit0
5 |3 |kernel_size0
2 |3 |pool_size0
2 |1 |stride_size0
0.3 |0.4 |dropout0
[2K
[2K
Trial 8 Complete [00h 00m 03s]
val_loss: 19.596115112304688
Best val_loss So Far: 18.878856658935547
Total elapsed time: 00h 00m 37s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
3 |5 |n_layers
32 |256 |filter_unit0
128 |128 |filter_unit1
32 |32 |filter_unit2
1 |3 |kernel_size0
2 |3 |kernel_size1
5 |4 |kernel_size2
4 |3 |pool_size0
4 |1 |pool_size1
2 |3 |pool_size2
4 |1 |stride_size0
1 |3 |stride_size1
1 |3 |stride_size2
0.1 |0.4 |dropout0
0.3 |0.1 |dropout1
0.3 |0 |dropout2
[2K
[2K
Trial 9 Complete [00h 00m 04s]
val_loss: 20.58957290649414
Best val_loss So Far: 18.878856658935547
Total elapsed time: 00h 00m 40s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
2 |5 |n_layers
32 |256 |filter_unit0
64 |128 |filter_unit1
1 |3 |kernel_size0
1 |3 |kernel_size1
5 |3 |pool_size0
2 |1 |pool_size1
3 |1 |stride_size0
1 |3 |stride_size1
0.2 |0.4 |dropout0
0 |0.1 |dropout1
[2K
[2K
Trial 10 Complete [00h 00m 03s]
val_loss: 19.308012008666992
Best val_loss So Far: 18.878856658935547
Total elapsed time: 00h 00m 43s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
5 |5 |n_layers
256 |256 |filter_unit0
64 |128 |filter_unit1
128 |32 |filter_unit2
32 |128 |filter_unit3
64 |128 |filter_unit4
2 |3 |kernel_size0
1 |3 |kernel_size1
1 |4 |kernel_size2
1 |3 |kernel_size3
2 |4 |kernel_size4
4 |3 |pool_size0
3 |1 |pool_size1
1 |3 |pool_size2
3 |3 |pool_size3
4 |4 |pool_size4
1 |1 |stride_size0
3 |3 |stride_size1
3 |3 |stride_size2
4 |3 |stride_size3
3 |2 |stride_size4
0.4 |0.4 |dropout0
0.4 |0.1 |dropout1
0.2 |0 |dropout2
0.4 |0.2 |dropout3
0.1 |0 |dropout4
[2K
[2K
Trial 11 Complete [00h 00m 06s]
val_loss: 19.988086700439453
Best val_loss So Far: 18.878856658935547
Total elapsed time: 00h 00m 49s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
5 |5 |n_layers
32 |256 |filter_unit0
256 |128 |filter_unit1
256 |32 |filter_unit2
64 |128 |filter_unit3
128 |128 |filter_unit4
5 |3 |kernel_size0
5 |3 |kernel_size1
5 |4 |kernel_size2
1 |3 |kernel_size3
4 |4 |kernel_size4
4 |3 |pool_size0
3 |1 |pool_size1
2 |3 |pool_size2
2 |3 |pool_size3
5 |4 |pool_size4
3 |1 |stride_size0
3 |3 |stride_size1
2 |3 |stride_size2
5 |3 |stride_size3
1 |2 |stride_size4
0.2 |0.4 |dropout0
0.4 |0.1 |dropout1
0.1 |0 |dropout2
0.4 |0.2 |dropout3
0.1 |0 |dropout4
[2K
[2K
Trial 12 Complete [00h 00m 07s]
val_loss: 19.48443031311035
Best val_loss So Far: 18.878856658935547
Total elapsed time: 00h 00m 56s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
5 |5 |n_layers
128 |256 |filter_unit0
32 |128 |filter_unit1
64 |32 |filter_unit2
32 |128 |filter_unit3
128 |128 |filter_unit4
4 |3 |kernel_size0
2 |3 |kernel_size1
1 |4 |kernel_size2
1 |3 |kernel_size3
2 |4 |kernel_size4
3 |3 |pool_size0
1 |1 |pool_size1
5 |3 |pool_size2
1 |3 |pool_size3
1 |4 |pool_size4
4 |1 |stride_size0
1 |3 |stride_size1
3 |3 |stride_size2
1 |3 |stride_size3
5 |2 |stride_size4
0.4 |0.4 |dropout0
0.1 |0.1 |dropout1
0.3 |0 |dropout2
0 |0.2 |dropout3
0.3 |0 |dropout4
[2K
[2K
Trial 13 Complete [00h 00m 06s]
val_loss: 19.746976852416992
Best val_loss So Far: 18.878856658935547
Total elapsed time: 00h 01m 02s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
4 |5 |n_layers
256 |256 |filter_unit0
64 |128 |filter_unit1
256 |32 |filter_unit2
32 |128 |filter_unit3
3 |3 |kernel_size0
5 |3 |kernel_size1
3 |4 |kernel_size2
5 |3 |kernel_size3
4 |3 |pool_size0
1 |1 |pool_size1
1 |3 |pool_size2
4 |3 |pool_size3
3 |1 |stride_size0
3 |3 |stride_size1
2 |3 |stride_size2
5 |3 |stride_size3
0.1 |0.4 |dropout0
0.2 |0.1 |dropout1
0 |0 |dropout2
0 |0.2 |dropout3
[2K
[2K
Trial 14 Complete [00h 00m 05s]
val_loss: 19.864343643188477
Best val_loss So Far: 18.878856658935547
Total elapsed time: 00h 01m 07s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
4 |5 |n_layers
128 |256 |filter_unit0
128 |128 |filter_unit1
32 |32 |filter_unit2
128 |128 |filter_unit3
4 |3 |kernel_size0
1 |3 |kernel_size1
1 |4 |kernel_size2
5 |3 |kernel_size3
2 |3 |pool_size0
3 |1 |pool_size1
1 |3 |pool_size2
4 |3 |pool_size3
4 |1 |stride_size0
3 |3 |stride_size1
4 |3 |stride_size2
2 |3 |stride_size3
0.2 |0.4 |dropout0
0 |0.1 |dropout1
0.3 |0 |dropout2
0.1 |0.2 |dropout3
[2K
[2K
Trial 15 Complete [00h 00m 05s]
val_loss: 19.95073890686035
Best val_loss So Far: 18.878856658935547
Total elapsed time: 00h 01m 12s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
4 |5 |n_layers
128 |256 |filter_unit0
128 |128 |filter_unit1
64 |32 |filter_unit2
128 |128 |filter_unit3
1 |3 |kernel_size0
4 |3 |kernel_size1
4 |4 |kernel_size2
2 |3 |kernel_size3
2 |3 |pool_size0
3 |1 |pool_size1
1 |3 |pool_size2
1 |3 |pool_size3
3 |1 |stride_size0
1 |3 |stride_size1
5 |3 |stride_size2
5 |3 |stride_size3
0 |0.4 |dropout0
0 |0.1 |dropout1
0 |0 |dropout2
0.1 |0.2 |dropout3
[2K
[2K
Trial 16 Complete [00h 00m 05s]
val_loss: 19.630460739135742
Best val_loss So Far: 18.878856658935547
Total elapsed time: 00h 01m 17s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
2 |5 |n_layers
256 |256 |filter_unit0
32 |128 |filter_unit1
5 |3 |kernel_size0
1 |3 |kernel_size1
5 |3 |pool_size0
3 |1 |pool_size1
1 |1 |stride_size0
3 |3 |stride_size1
0.1 |0.4 |dropout0
0.2 |0.1 |dropout1
[2K
[2K
Trial 17 Complete [00h 00m 03s]
val_loss: 20.576766967773438
Best val_loss So Far: 18.878856658935547
Total elapsed time: 00h 01m 21s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
2 |5 |n_layers
256 |256 |filter_unit0
128 |128 |filter_unit1
5 |3 |kernel_size0
2 |3 |kernel_size1
2 |3 |pool_size0
1 |1 |pool_size1
3 |1 |stride_size0
4 |3 |stride_size1
0.1 |0.4 |dropout0
0 |0.1 |dropout1
[2K
[2K
Trial 18 Complete [00h 00m 03s]
val_loss: 19.40152931213379
Best val_loss So Far: 18.878856658935547
Total elapsed time: 00h 01m 24s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
1 |5 |n_layers
64 |256 |filter_unit0
4 |3 |kernel_size0
2 |3 |pool_size0
4 |1 |stride_size0
0.3 |0.4 |dropout0
[2K
[2K
Trial 19 Complete [00h 00m 03s]
val_loss: 17.405519485473633
Best val_loss So Far: 17.405519485473633
Total elapsed time: 00h 01m 27s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
128 |64 |filter_unit0
256 |None |filter_unit1
64 |None |filter_unit2
128 |None |filter_unit3
5 |4 |kernel_size0
2 |None |kernel_size1
3 |None |kernel_size2
3 |None |kernel_size3
4 |2 |pool_size0
1 |None |pool_size1
3 |None |pool_size2
5 |None |pool_size3
5 |4 |stride_size0
1 |None |stride_size1
3 |None |stride_size2
1 |None |stride_size3
0.2 |0.3 |dropout0
0.1 |None |dropout1
0.4 |None |dropout2
0.3 |None |dropout3
[2K
[2K
Trial 20 Complete [00h 00m 05s]
val_loss: 19.58138656616211
Best val_loss So Far: 17.405519485473633
Total elapsed time: 00h 01m 33s
{'n_layers': 1, 'filter_unit0': 64, 'kernel_size0': 4, 'pool_size0': 2, 'stride_size0': 4, 'dropout0': 0.30000000000000004}
Epoch 1/200
1/4 [======>.......................] - ETA: 2s - loss: 6.9688WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 1s 13ms/step - loss: 7.4142 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 6.9957WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 7.1566 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 6.7392WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 6.9217 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 6.9274WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 6.7000 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 5.5458WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 6.6036 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 7.0550WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 6.3065 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 6.2774WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 6.1045 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 6.0517WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 6.0110 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 6.2588WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.7528 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0669WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.6819 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3390WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.6072 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 5.5016WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.3706 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4734WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.2649 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4991WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.3246 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4355WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.0161 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1465WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 5.0254 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4093WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.9223 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5981WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.6213 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2458WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.8713 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9037WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.6871 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9300WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.5334 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9463WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.6671 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3514WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.3757 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9588WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.4499 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2367WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2409 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4131WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.3057 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6897WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2482 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0693WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1210 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7022WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2200 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7574WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.0544 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5064WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.1003 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9835WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.2463 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3824WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.9576 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2681WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 4.0280 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7494WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.8714 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2666WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.9227 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3917WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.9863 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6839WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.9711 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1658WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.8745 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0661WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.9518 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5781WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.8940 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6206WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.9389 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6594WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.6763 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4580WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.7364 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1483WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.9369 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4984WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.7532 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5534WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.6443 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4320WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.6625 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9144WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.7241 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2668WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.6336 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8780WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.6495 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9486WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.6814 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8937WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.3858 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0616WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.6018 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6770WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.5274 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4445WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.4657 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9964WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.6922 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7103WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.6677 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5245WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.4213 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1359WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.3086 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3082WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.4136 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7474WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.4194 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4598WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.3659 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6386WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.5118 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6688WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.3848 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8738WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.2923 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4001WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.4206 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2583WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.3800 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0102WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.3172 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6884WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.2972 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2110WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.3767 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0466WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.2056 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6315WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.1522 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6517WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.3076 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8409WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0133 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0264WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.1544 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0317WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0906 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0589WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0489 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5840WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.3325 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7544WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.1114 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4803WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0604 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4522WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0833 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8893WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0830 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9070WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0493 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0862WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0181 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0828WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0943 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2160WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9647 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6813WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.8503 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9616WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0647 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2737WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.8989 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3871WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.8526 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5912WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9904 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0575WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 3.0099 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9989WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.7728 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8821WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.8382 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4967WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.8529 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7147WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9618 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8729WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.7453 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8663WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9305 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3350WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9678 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4441WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9244 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8808WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.8405 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0558WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.8475 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9600WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9562 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0139WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.8391 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5614WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.8282 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0510WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.8429 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4117WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.7450 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6737WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.7436 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9493WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.7618 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9130WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.8428 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6462WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.7223 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1694WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.7429 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6130WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.7388 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4012WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.7294 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0809WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.8982 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8345WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.7642 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4361WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.8489 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7340WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.8014 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7653WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.6732 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3962WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.7015 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8646WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.8375 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7678WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.6970 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7546WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.6527 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4623WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.6450 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2228WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.8488 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7416WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.6542 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4761WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.8525 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8812WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.8323 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9621WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.7266 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5940WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.7114 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2470WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.7321 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1142WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.7110 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4994WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.6944 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6909WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.8299 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3655WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.6760 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7152WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.6671 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5917WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.7735 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7526WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.7012 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4912WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.6596 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4115WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.7191 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7848WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.7210 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2982WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.7700 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1647WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.7278 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7543WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.7946 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6170WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.8334 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8196WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.7143 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6780WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.8684 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0472WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.6804 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8895WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.7319 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2820WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.7297 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9988WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.7411 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5988WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.6981 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8445WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.6709 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5188WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.7467 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5751WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9113 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6261WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.7240 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0048WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.7041 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7093WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.7318 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1784WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.7824 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8334WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.6676 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7014WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.7309 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8239WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.6672 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7307WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.7183 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8006WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.6646 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2685WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.5819 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7615WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.7893 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1849WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.7834 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5013WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.7165 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9791WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.7344 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5237WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.6529 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1923WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.7794 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2656WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.7460 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5497WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.6734 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2800WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.5725 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7551WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.8540 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6800WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.7265 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3326WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.7474 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8621WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.6945 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7682WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.6732 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6201WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.7871 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0762WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.6512 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7454WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.8869 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1567WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.7693 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7954WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.7896 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9400WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.7261 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1218WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.7767 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4586WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.6772 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3906WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.6559 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8942WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.7344 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1721WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.7343 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5973WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.6893 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7477WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.8582 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2214WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.7668 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4793WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.8124 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8162WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.7291 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8088WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.8241 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9011WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.6886 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7534WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.6942 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4826WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 5ms/step - loss: 2.9180 - lr: 4.5400e-09
{'n_layers': 1, 'filter_unit0': 64, 'kernel_size0': 4, 'pool_size0': 2, 'stride_size0': 4, 'dropout0': 0.30000000000000004}
1/39 [..............................] - ETA: 4s
31/39 [======================>.......] - ETA: 0s
39/39 [==============================] - 0s 2ms/step
WARNING:tensorflow:Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0038s vs `on_train_batch_end` time: 0.0245s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0038s vs `on_train_batch_end` time: 0.0245s). Check your callbacks.
adding new entry
subject config_id mdl_str ... r2 pearsonr_coeff pearsonr_pval
0 Pilot02 0 linreg ... -9.864563 0.038776 0.364940
1 Pilot02 0 linreg ... -11.875765 0.070097 0.101171
2 Pilot02 0 linreg ... -11.069278 0.047023 0.271822
3 Pilot02 0 linreg ... -25.345517 0.016892 0.693177
4 Pilot02 0 linreg ... -15.299470 0.118749 0.005380
.. ... ... ... ... ... ... ...
468 Pilot02 1 cnn1d ... -7.105183 -0.024868 0.380458
469 Pilot03 1 cnn1d ... -1.055924 -0.124536 0.000094
470 Pilot02 1 cnn1d ... -2.355931 -0.002365 0.933531
471 Pilot03 1 cnn1d ... -0.395886 -0.064913 0.042399
472 Pilot02 1 cnn1d ... -3.237121 -0.038198 0.177827
[473 rows x 18 columns]
imu-bvp_rr_Pilot02_id1_combi7.0-10.0-12.0-15.0-17.0
train
(35920, 11)
test
(364536, 10)
---CNN1D---
input shape: (1440, 7)
x shape: (120, 1440, 7)
Search: Running Trial #1
Value |Best Value So Far |Hyperparameter
2 |2 |n_layers
256 |256 |filter_unit0
256 |256 |filter_unit1
1 |1 |kernel_size0
1 |1 |kernel_size1
4 |4 |pool_size0
3 |3 |pool_size1
1 |1 |stride_size0
5 |5 |stride_size1
0.4 |0.4 |dropout0
0.1 |0.1 |dropout1
[2K
[2K
Trial 1 Complete [00h 00m 04s]
val_loss: 16.471460342407227
Best val_loss So Far: 16.471460342407227
Total elapsed time: 00h 00m 04s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
3 |2 |n_layers
32 |256 |filter_unit0
64 |256 |filter_unit1
32 |None |filter_unit2
4 |1 |kernel_size0
1 |1 |kernel_size1
1 |None |kernel_size2
3 |4 |pool_size0
5 |3 |pool_size1
1 |None |pool_size2
1 |1 |stride_size0
4 |5 |stride_size1
5 |None |stride_size2
0.2 |0.4 |dropout0
0 |0.1 |dropout1
0.2 |None |dropout2
[2K
[2K
Trial 2 Complete [00h 00m 03s]
val_loss: 16.028837203979492
Best val_loss So Far: 16.028837203979492
Total elapsed time: 00h 00m 07s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
4 |3 |n_layers
32 |32 |filter_unit0
128 |64 |filter_unit1
256 |32 |filter_unit2
32 |None |filter_unit3
1 |4 |kernel_size0
1 |1 |kernel_size1
4 |1 |kernel_size2
4 |None |kernel_size3
1 |3 |pool_size0
2 |5 |pool_size1
4 |1 |pool_size2
3 |None |pool_size3
4 |1 |stride_size0
3 |4 |stride_size1
1 |5 |stride_size2
1 |None |stride_size3
0.3 |0.2 |dropout0
0.4 |0 |dropout1
0.4 |0.2 |dropout2
0.1 |None |dropout3
[2K
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0024s vs `on_train_batch_end` time: 0.0096s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0024s vs `on_train_batch_end` time: 0.0096s). Check your callbacks.
[2K
Trial 3 Complete [00h 00m 04s]
val_loss: 16.371564865112305
Best val_loss So Far: 16.028837203979492
Total elapsed time: 00h 00m 12s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
1 |3 |n_layers
256 |32 |filter_unit0
4 |4 |kernel_size0
3 |3 |pool_size0
4 |1 |stride_size0
0.1 |0.2 |dropout0
[2K
[2K
Trial 4 Complete [00h 00m 03s]
val_loss: 15.591987609863281
Best val_loss So Far: 15.591987609863281
Total elapsed time: 00h 00m 15s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
32 |256 |filter_unit0
32 |None |filter_unit1
128 |None |filter_unit2
32 |None |filter_unit3
32 |None |filter_unit4
5 |4 |kernel_size0
3 |None |kernel_size1
1 |None |kernel_size2
2 |None |kernel_size3
1 |None |kernel_size4
1 |3 |pool_size0
5 |None |pool_size1
3 |None |pool_size2
3 |None |pool_size3
4 |None |pool_size4
1 |4 |stride_size0
5 |None |stride_size1
2 |None |stride_size2
4 |None |stride_size3
1 |None |stride_size4
0.2 |0.1 |dropout0
0 |None |dropout1
0.2 |None |dropout2
0.3 |None |dropout3
0 |None |dropout4
[2K
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0032s vs `on_train_batch_end` time: 0.0042s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0032s vs `on_train_batch_end` time: 0.0042s). Check your callbacks.
[2K
Trial 5 Complete [00h 00m 05s]
val_loss: 16.77256202697754
Best val_loss So Far: 15.591987609863281
Total elapsed time: 00h 00m 20s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
64 |256 |filter_unit0
256 |None |filter_unit1
1 |4 |kernel_size0
3 |None |kernel_size1
4 |3 |pool_size0
1 |None |pool_size1
5 |4 |stride_size0
2 |None |stride_size1
0.3 |0.1 |dropout0
0.3 |None |dropout1
[2K
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0045s vs `on_train_batch_end` time: 0.0064s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0045s vs `on_train_batch_end` time: 0.0064s). Check your callbacks.
[2K
Trial 6 Complete [00h 00m 03s]
val_loss: 16.880996704101562
Best val_loss So Far: 15.591987609863281
Total elapsed time: 00h 00m 22s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
128 |256 |filter_unit0
128 |None |filter_unit1
32 |None |filter_unit2
256 |None |filter_unit3
3 |4 |kernel_size0
5 |None |kernel_size1
3 |None |kernel_size2
2 |None |kernel_size3
3 |3 |pool_size0
4 |None |pool_size1
4 |None |pool_size2
1 |None |pool_size3
5 |4 |stride_size0
1 |None |stride_size1
3 |None |stride_size2
2 |None |stride_size3
0.2 |0.1 |dropout0
0.1 |None |dropout1
0.1 |None |dropout2
0.4 |None |dropout3
[2K
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0040s vs `on_train_batch_end` time: 0.0082s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0040s vs `on_train_batch_end` time: 0.0082s). Check your callbacks.
[2K
Trial 7 Complete [00h 00m 04s]
val_loss: 16.65203285217285
Best val_loss So Far: 15.591987609863281
Total elapsed time: 00h 00m 27s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
128 |256 |filter_unit0
256 |None |filter_unit1
32 |None |filter_unit2
1 |4 |kernel_size0
2 |None |kernel_size1
2 |None |kernel_size2
3 |3 |pool_size0
2 |None |pool_size1
4 |None |pool_size2
3 |4 |stride_size0
5 |None |stride_size1
1 |None |stride_size2
0.3 |0.1 |dropout0
0.1 |None |dropout1
0.3 |None |dropout2
[2K
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0050s vs `on_train_batch_end` time: 0.0190s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0050s vs `on_train_batch_end` time: 0.0190s). Check your callbacks.
[2K
Trial 8 Complete [00h 00m 04s]
val_loss: 16.26979637145996
Best val_loss So Far: 15.591987609863281
Total elapsed time: 00h 00m 31s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
256 |256 |filter_unit0
256 |None |filter_unit1
128 |None |filter_unit2
128 |None |filter_unit3
64 |None |filter_unit4
3 |4 |kernel_size0
2 |None |kernel_size1
4 |None |kernel_size2
4 |None |kernel_size3
1 |None |kernel_size4
4 |3 |pool_size0
4 |None |pool_size1
2 |None |pool_size2
4 |None |pool_size3
5 |None |pool_size4
2 |4 |stride_size0
4 |None |stride_size1
2 |None |stride_size2
3 |None |stride_size3
1 |None |stride_size4
0.1 |0.1 |dropout0
0.4 |None |dropout1
0.3 |None |dropout2
0.2 |None |dropout3
0.3 |None |dropout4
[2K
[2K
Trial 9 Complete [00h 00m 07s]
val_loss: 16.622385025024414
Best val_loss So Far: 15.591987609863281
Total elapsed time: 00h 00m 38s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
64 |256 |filter_unit0
32 |None |filter_unit1
3 |4 |kernel_size0
4 |None |kernel_size1
1 |3 |pool_size0
5 |None |pool_size1
4 |4 |stride_size0
2 |None |stride_size1
0.2 |0.1 |dropout0
0 |None |dropout1
[2K
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0033s vs `on_train_batch_end` time: 0.0147s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0033s vs `on_train_batch_end` time: 0.0147s). Check your callbacks.
[2K
Trial 10 Complete [00h 00m 03s]
val_loss: 15.868534088134766
Best val_loss So Far: 15.591987609863281
Total elapsed time: 00h 00m 41s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
256 |256 |filter_unit0
64 |None |filter_unit1
3 |4 |kernel_size0
1 |None |kernel_size1
4 |3 |pool_size0
2 |None |pool_size1
1 |4 |stride_size0
3 |None |stride_size1
0 |0.1 |dropout0
0.4 |None |dropout1
[2K
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0056s vs `on_train_batch_end` time: 0.0084s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0056s vs `on_train_batch_end` time: 0.0084s). Check your callbacks.
[2K
Trial 11 Complete [00h 00m 04s]
val_loss: 17.36485481262207
Best val_loss So Far: 15.591987609863281
Total elapsed time: 00h 00m 45s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
256 |256 |filter_unit0
32 |None |filter_unit1
32 |None |filter_unit2
32 |None |filter_unit3
256 |None |filter_unit4
2 |4 |kernel_size0
2 |None |kernel_size1
1 |None |kernel_size2
5 |None |kernel_size3
1 |None |kernel_size4
5 |3 |pool_size0
2 |None |pool_size1
1 |None |pool_size2
3 |None |pool_size3
4 |None |pool_size4
5 |4 |stride_size0
3 |None |stride_size1
3 |None |stride_size2
3 |None |stride_size3
5 |None |stride_size4
0.4 |0.1 |dropout0
0.2 |None |dropout1
0.4 |None |dropout2
0.2 |None |dropout3
0 |None |dropout4
[2K
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0041s vs `on_train_batch_end` time: 0.0054s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0041s vs `on_train_batch_end` time: 0.0054s). Check your callbacks.
[2K
Trial 12 Complete [00h 00m 06s]
val_loss: 16.701980590820312
Best val_loss So Far: 15.591987609863281
Total elapsed time: 00h 00m 50s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
64 |256 |filter_unit0
128 |None |filter_unit1
32 |None |filter_unit2
4 |4 |kernel_size0
4 |None |kernel_size1
5 |None |kernel_size2
4 |3 |pool_size0
2 |None |pool_size1
5 |None |pool_size2
2 |4 |stride_size0
2 |None |stride_size1
2 |None |stride_size2
0.4 |0.1 |dropout0
0.1 |None |dropout1
0.2 |None |dropout2
[2K
[2K
Trial 13 Complete [00h 00m 04s]
val_loss: 16.38019371032715
Best val_loss So Far: 15.591987609863281
Total elapsed time: 00h 00m 55s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
32 |256 |filter_unit0
256 |None |filter_unit1
1 |4 |kernel_size0
4 |None |kernel_size1
5 |3 |pool_size0
5 |None |pool_size1
5 |4 |stride_size0
5 |None |stride_size1
0.3 |0.1 |dropout0
0.4 |None |dropout1
[2K
[2K
Trial 14 Complete [00h 00m 03s]
val_loss: 18.23012924194336
Best val_loss So Far: 15.591987609863281
Total elapsed time: 00h 00m 57s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
32 |256 |filter_unit0
128 |None |filter_unit1
2 |4 |kernel_size0
1 |None |kernel_size1
1 |3 |pool_size0
4 |None |pool_size1
3 |4 |stride_size0
3 |None |stride_size1
0.3 |0.1 |dropout0
0.2 |None |dropout1
[2K
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0040s vs `on_train_batch_end` time: 0.0081s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0040s vs `on_train_batch_end` time: 0.0081s). Check your callbacks.
[2K
Trial 15 Complete [00h 00m 03s]
val_loss: 16.375864028930664
Best val_loss So Far: 15.591987609863281
Total elapsed time: 00h 01m 01s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
64 |256 |filter_unit0
128 |None |filter_unit1
256 |None |filter_unit2
3 |4 |kernel_size0
3 |None |kernel_size1
3 |None |kernel_size2
1 |3 |pool_size0
5 |None |pool_size1
4 |None |pool_size2
3 |4 |stride_size0
1 |None |stride_size1
5 |None |stride_size2
0.4 |0.1 |dropout0
0.3 |None |dropout1
0.4 |None |dropout2
[2K
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0037s vs `on_train_batch_end` time: 0.0160s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0037s vs `on_train_batch_end` time: 0.0160s). Check your callbacks.
[2K
Trial 16 Complete [00h 00m 04s]
val_loss: 17.042659759521484
Best val_loss So Far: 15.591987609863281
Total elapsed time: 00h 01m 05s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
256 |256 |filter_unit0
256 |None |filter_unit1
128 |None |filter_unit2
4 |4 |kernel_size0
5 |None |kernel_size1
2 |None |kernel_size2
1 |3 |pool_size0
5 |None |pool_size1
4 |None |pool_size2
3 |4 |stride_size0
5 |None |stride_size1
1 |None |stride_size2
0 |0.1 |dropout0
0 |None |dropout1
0.1 |None |dropout2
[2K
[2K
Trial 17 Complete [00h 00m 05s]
val_loss: 15.91845703125
Best val_loss So Far: 15.591987609863281
Total elapsed time: 00h 01m 10s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
32 |256 |filter_unit0
256 |None |filter_unit1
64 |None |filter_unit2
256 |None |filter_unit3
128 |None |filter_unit4
4 |4 |kernel_size0
3 |None |kernel_size1
1 |None |kernel_size2
2 |None |kernel_size3
1 |None |kernel_size4
5 |3 |pool_size0
3 |None |pool_size1
3 |None |pool_size2
5 |None |pool_size3
5 |None |pool_size4
2 |4 |stride_size0
3 |None |stride_size1
4 |None |stride_size2
2 |None |stride_size3
3 |None |stride_size4
0.1 |0.1 |dropout0
0.3 |None |dropout1
0.4 |None |dropout2
0.3 |None |dropout3
0.2 |None |dropout4
[2K
[2K
Trial 18 Complete [00h 00m 06s]
val_loss: 16.3033447265625
Best val_loss So Far: 15.591987609863281
Total elapsed time: 00h 01m 16s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
128 |256 |filter_unit0
64 |None |filter_unit1
64 |None |filter_unit2
128 |None |filter_unit3
2 |4 |kernel_size0
3 |None |kernel_size1
4 |None |kernel_size2
3 |None |kernel_size3
1 |3 |pool_size0
1 |None |pool_size1
1 |None |pool_size2
2 |None |pool_size3
5 |4 |stride_size0
4 |None |stride_size1
1 |None |stride_size2
1 |None |stride_size3
0.3 |0.1 |dropout0
0 |None |dropout1
0.4 |None |dropout2
0.2 |None |dropout3
[2K
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0050s vs `on_train_batch_end` time: 0.0311s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0050s vs `on_train_batch_end` time: 0.0311s). Check your callbacks.
[2K
Trial 19 Complete [00h 00m 05s]
val_loss: 17.00205421447754
Best val_loss So Far: 15.591987609863281
Total elapsed time: 00h 01m 21s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
128 |256 |filter_unit0
256 |None |filter_unit1
128 |None |filter_unit2
64 |None |filter_unit3
128 |None |filter_unit4
1 |4 |kernel_size0
2 |None |kernel_size1
2 |None |kernel_size2
2 |None |kernel_size3
2 |None |kernel_size4
4 |3 |pool_size0
5 |None |pool_size1
3 |None |pool_size2
1 |None |pool_size3
1 |None |pool_size4
1 |4 |stride_size0
1 |None |stride_size1
3 |None |stride_size2
5 |None |stride_size3
5 |None |stride_size4
0.3 |0.1 |dropout0
0.4 |None |dropout1
0.1 |None |dropout2
0.1 |None |dropout3
0 |None |dropout4
[2K
[2K
Trial 20 Complete [00h 00m 06s]
val_loss: 16.780359268188477
Best val_loss So Far: 15.591987609863281
Total elapsed time: 00h 01m 27s
{'n_layers': 1, 'filter_unit0': 256, 'kernel_size0': 4, 'pool_size0': 3, 'stride_size0': 4, 'dropout0': 0.1}
Epoch 1/200
1/4 [======>.......................] - ETA: 2s - loss: 9.0843WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 1s 14ms/step - loss: 8.5515 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 8.8980WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 7.3757 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 7.1070WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 6.2744 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 6.2455WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 5.2851 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0683WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 4.5273 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3551WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 4.3203 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9086WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 4.0182 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4321WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 3.8466 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5524WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 3.7161 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1865WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 3.5418 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5199WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 3.3212 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4643WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 3.0543 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0570WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 2.9143 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7594WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 2.7925 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1431WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 2.6829 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7099WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 2.5337 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1455WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 2.3941 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2039WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 2.3946 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5419WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 2.2988 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0453WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 2.2036 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1608WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 2.2247 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5812WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 2.0906 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8362WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 2.0542 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0908WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.9806 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5899WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.9824 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3230WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.8590 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5659WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.8401 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2467WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.7767 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6297WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.7417 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0099WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.7641 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7261WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.6724 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9746WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.7307 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9479WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.6295 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2486WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.5206 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9376WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.6569 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7737WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.5483 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6885WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.5762 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3310WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.4162 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6949WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.5417 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5752WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.4453 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2748WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.4142 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9528WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.5048 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4459WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.3638 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3488WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.3645 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1598WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.2921 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0075WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.3072 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0094WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.2378 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1195WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.2475 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9071WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.2579 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0220WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.2345 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4446WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.2562 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3476WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.1322 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2986WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.2401 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9390WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.1156 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 0.7630WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.1401 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1612WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.1159 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2052WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.0625 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0385WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.1199 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9752WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.1090 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0284WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 1.0232 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1593WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.0124 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 0.7166WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.9516 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 0.7430WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.0403 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0938WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 1.0260 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9195WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.8925 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0187WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.9870 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1009WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.9882 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9497WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.9416 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8746WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.9093 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8621WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.9157 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9472WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.8951 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 0.7997WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.8497 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1078WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.8785 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8906WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.9900 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8393WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.9246 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8302WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.8736 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9213WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.8514 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8022WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.8271 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0546WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.8432 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8983WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.9097 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8162WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.7703 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8605WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.7677 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 0.6592WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.7429 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 0.6062WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.7974 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8540WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.8535 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 0.6180WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.7816 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8269WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.7847 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 0.6975WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.7099 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 0.7489WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.7393 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 0.7125WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.7293 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 0.4426WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.6035 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8915WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 16ms/step - loss: 0.7724 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 0.6065WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.6596 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 0.7012WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.7859 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 0.5800WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.6846 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 0.5335WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.7233 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 0.7878WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.7118 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 0.6530WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.6482 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 0.7136WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.7065 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 0.5603WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.7641 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1202WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.7328 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 0.5420WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.5694 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 0.6760WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.5894 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 0.6484WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.6305 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 0.6754WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.6381 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 0.5377WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.6000 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 0.6036WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 0.7047 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 0.6532WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.6151 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 0.6440WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.5490 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 0.6793WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.6299 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 0.7253WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.6892 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 0.4648WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.5737 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 0.6134WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.5685 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 0.4414WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.5779 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 0.4641WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.5182 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 0.5467WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.5988 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 0.6215WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.6157 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 0.5005WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.5148 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 0.3811WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.5180 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 0.4888WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.5714 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 0.4624WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.5629 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 0.6219WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.5809 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 0.5580WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.5828 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 0.4931WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.5361 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 0.5667WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.5663 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 0.5079WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.5217 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 0.6140WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.5693 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 0.4968WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.5297 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 0.3151WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.6402 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 0.5027WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.5763 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 0.5966WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.5228 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 0.5681WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.5135 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8631WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.7001 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 0.6044WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.6226 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 0.4980WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.5207 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 0.5163WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.5285 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 0.6471WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.5393 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 0.5433WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.5740 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 0.6153WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.4946 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 0.5100WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.5062 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 0.7196WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.5293 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 0.5550WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.5989 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 0.6321WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.5230 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 0.6355WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.5519 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 0.6923WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.5831 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 0.5305WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.5071 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 0.6919WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.6116 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 0.5470WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.5473 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 0.5699WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.5421 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 0.6810WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.5545 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 0.5139WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.5253 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 0.5879WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.4841 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 0.5507WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.6607 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 0.6086WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.6143 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8068WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.5778 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8620WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.5960 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 0.5740WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.6138 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 0.5341WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.5960 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 0.7096WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.5640 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 0.4516WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.5258 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 0.5241WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.5695 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8235WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.7150 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8417WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.6993 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 0.7027WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.6166 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 0.5043WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.5307 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 0.5556WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.5439 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 0.4998WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.5755 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 0.4116WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.6634 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 0.5451WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 14ms/step - loss: 0.4843 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 0.5454WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.5482 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 0.5799WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.5792 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 0.5056WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.5938 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 0.6796WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.6999 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 0.7025WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.5612 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 0.5743WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.4991 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 0.5589WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.5180 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 0.5293WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.5316 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 0.6223WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.5389 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 0.4333WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.5171 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 0.6654WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.5776 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0171WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.8075 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 0.5404WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.4600 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 0.5938WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.5334 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 0.4983WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.5416 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 0.5523WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.6103 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 0.4734WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.4769 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 0.4577WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.5841 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 0.4406WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.5907 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 0.5073WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.5226 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 0.7103WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.7118 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 0.5078WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.5506 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 0.5930WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.5629 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 0.5107WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.5437 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 0.5383WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.5293 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 0.4787WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.5465 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9979WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.6837 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 0.4755WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.4701 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 0.6312WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.5958 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 0.4807WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.5456 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 0.5787WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 13ms/step - loss: 0.5464 - lr: 4.5400e-09
{'n_layers': 1, 'filter_unit0': 256, 'kernel_size0': 4, 'pool_size0': 3, 'stride_size0': 4, 'dropout0': 0.1}
1/39 [..............................] - ETA: 4s
14/39 [=========>....................] - ETA: 0s
27/39 [===================>..........] - ETA: 0s
39/39 [==============================] - 0s 4ms/step
WARNING:tensorflow:Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
adding new entry
subject config_id mdl_str ... r2 pearsonr_coeff pearsonr_pval
0 Pilot02 0 linreg ... -9.864563 0.038776 3.649402e-01
1 Pilot02 0 linreg ... -11.875765 0.070097 1.011711e-01
2 Pilot02 0 linreg ... -11.069278 0.047023 2.718220e-01
3 Pilot02 0 linreg ... -25.345517 0.016892 6.931765e-01
4 Pilot02 0 linreg ... -15.299470 0.118749 5.380273e-03
.. ... ... ... ... ... ... ...
470 Pilot02 1 cnn1d ... -2.355931 -0.002365 9.335314e-01
471 Pilot03 1 cnn1d ... -0.395886 -0.064913 4.239948e-02
472 Pilot02 1 cnn1d ... -3.237121 -0.038198 1.778268e-01
473 Pilot03 1 cnn1d ... -0.866313 -0.168026 1.253021e-07
474 Pilot02 1 cnn1d ... -2.588828 -0.028648 3.122942e-01
[475 rows x 18 columns]
imu-bvp_rr_Pilot02_id1_combi7.0-10.0-12.0-15.0-20.0
train
(35920, 11)
test
(364536, 10)
---CNN1D---
input shape: (1440, 7)
x shape: (115, 1440, 7)
Search: Running Trial #1
Value |Best Value So Far |Hyperparameter
3 |3 |n_layers
64 |64 |filter_unit0
32 |32 |filter_unit1
32 |32 |filter_unit2
2 |2 |kernel_size0
3 |3 |kernel_size1
2 |2 |kernel_size2
5 |5 |pool_size0
3 |3 |pool_size1
1 |1 |pool_size2
2 |2 |stride_size0
5 |5 |stride_size1
2 |2 |stride_size2
0.2 |0.2 |dropout0
0.1 |0.1 |dropout1
0.2 |0.2 |dropout2
[2K
[2K
Trial 1 Complete [00h 00m 04s]
val_loss: 19.258821487426758
Best val_loss So Far: 19.258821487426758
Total elapsed time: 00h 00m 04s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
1 |3 |n_layers
32 |64 |filter_unit0
2 |2 |kernel_size0
4 |5 |pool_size0
2 |2 |stride_size0
0.2 |0.2 |dropout0
[2K
[2K
Trial 2 Complete [00h 00m 02s]
val_loss: 17.288803100585938
Best val_loss So Far: 17.288803100585938
Total elapsed time: 00h 00m 06s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
64 |32 |filter_unit0
64 |None |filter_unit1
32 |None |filter_unit2
32 |None |filter_unit3
1 |2 |kernel_size0
2 |None |kernel_size1
2 |None |kernel_size2
2 |None |kernel_size3
5 |4 |pool_size0
4 |None |pool_size1
4 |None |pool_size2
1 |None |pool_size3
5 |2 |stride_size0
2 |None |stride_size1
4 |None |stride_size2
3 |None |stride_size3
0.1 |0.2 |dropout0
0.1 |None |dropout1
0 |None |dropout2
0.4 |None |dropout3
[2K
[2K
Trial 3 Complete [00h 00m 04s]
val_loss: 19.126291275024414
Best val_loss So Far: 17.288803100585938
Total elapsed time: 00h 00m 11s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
256 |32 |filter_unit0
64 |None |filter_unit1
1 |2 |kernel_size0
5 |None |kernel_size1
5 |4 |pool_size0
2 |None |pool_size1
1 |2 |stride_size0
5 |None |stride_size1
0.2 |0.2 |dropout0
0.3 |None |dropout1
[2K
[2K
Trial 4 Complete [00h 00m 03s]
val_loss: 19.935365676879883
Best val_loss So Far: 17.288803100585938
Total elapsed time: 00h 00m 14s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
256 |32 |filter_unit0
64 |None |filter_unit1
128 |None |filter_unit2
128 |None |filter_unit3
128 |None |filter_unit4
3 |2 |kernel_size0
1 |None |kernel_size1
1 |None |kernel_size2
5 |None |kernel_size3
1 |None |kernel_size4
5 |4 |pool_size0
5 |None |pool_size1
3 |None |pool_size2
5 |None |pool_size3
5 |None |pool_size4
4 |2 |stride_size0
4 |None |stride_size1
4 |None |stride_size2
2 |None |stride_size3
3 |None |stride_size4
0 |0.2 |dropout0
0.3 |None |dropout1
0.3 |None |dropout2
0.2 |None |dropout3
0 |None |dropout4
[2K
[2K
Trial 5 Complete [00h 00m 06s]
val_loss: 19.098840713500977
Best val_loss So Far: 17.288803100585938
Total elapsed time: 00h 00m 20s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
32 |32 |filter_unit0
256 |None |filter_unit1
64 |None |filter_unit2
3 |2 |kernel_size0
4 |None |kernel_size1
4 |None |kernel_size2
1 |4 |pool_size0
1 |None |pool_size1
1 |None |pool_size2
2 |2 |stride_size0
1 |None |stride_size1
5 |None |stride_size2
0.4 |0.2 |dropout0
0.4 |None |dropout1
0.3 |None |dropout2
[2K
[2K
Trial 6 Complete [00h 00m 04s]
val_loss: 18.745487213134766
Best val_loss So Far: 17.288803100585938
Total elapsed time: 00h 00m 25s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
32 |32 |filter_unit0
32 |None |filter_unit1
256 |None |filter_unit2
32 |None |filter_unit3
256 |None |filter_unit4
5 |2 |kernel_size0
5 |None |kernel_size1
4 |None |kernel_size2
4 |None |kernel_size3
5 |None |kernel_size4
5 |4 |pool_size0
2 |None |pool_size1
2 |None |pool_size2
3 |None |pool_size3
1 |None |pool_size4
4 |2 |stride_size0
4 |None |stride_size1
2 |None |stride_size2
2 |None |stride_size3
4 |None |stride_size4
0.1 |0.2 |dropout0
0.2 |None |dropout1
0.4 |None |dropout2
0.3 |None |dropout3
0.1 |None |dropout4
[2K
[2K
Trial 7 Complete [00h 00m 06s]
val_loss: 19.046907424926758
Best val_loss So Far: 17.288803100585938
Total elapsed time: 00h 00m 31s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
32 |32 |filter_unit0
5 |2 |kernel_size0
5 |4 |pool_size0
5 |2 |stride_size0
0.2 |0.2 |dropout0
[2K
[2K
Trial 8 Complete [00h 00m 03s]
val_loss: 17.026844024658203
Best val_loss So Far: 17.026844024658203
Total elapsed time: 00h 00m 33s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
64 |32 |filter_unit0
3 |5 |kernel_size0
1 |5 |pool_size0
4 |5 |stride_size0
0 |0.2 |dropout0
[2K
[2K
Trial 9 Complete [00h 00m 03s]
val_loss: 19.63560676574707
Best val_loss So Far: 17.026844024658203
Total elapsed time: 00h 00m 36s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
32 |32 |filter_unit0
256 |None |filter_unit1
128 |None |filter_unit2
128 |None |filter_unit3
128 |None |filter_unit4
5 |5 |kernel_size0
5 |None |kernel_size1
4 |None |kernel_size2
1 |None |kernel_size3
1 |None |kernel_size4
4 |5 |pool_size0
1 |None |pool_size1
1 |None |pool_size2
5 |None |pool_size3
4 |None |pool_size4
2 |5 |stride_size0
2 |None |stride_size1
4 |None |stride_size2
2 |None |stride_size3
4 |None |stride_size4
0.1 |0.2 |dropout0
0.2 |None |dropout1
0.3 |None |dropout2
0.1 |None |dropout3
0.2 |None |dropout4
[2K
[2K
Trial 10 Complete [00h 00m 06s]
val_loss: 18.94676971435547
Best val_loss So Far: 17.026844024658203
Total elapsed time: 00h 00m 42s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
32 |32 |filter_unit0
128 |None |filter_unit1
256 |None |filter_unit2
4 |5 |kernel_size0
1 |None |kernel_size1
1 |None |kernel_size2
3 |5 |pool_size0
1 |None |pool_size1
5 |None |pool_size2
1 |5 |stride_size0
5 |None |stride_size1
3 |None |stride_size2
0 |0.2 |dropout0
0.4 |None |dropout1
0.3 |None |dropout2
[2K
[2K
Trial 11 Complete [00h 00m 04s]
val_loss: 19.220905303955078
Best val_loss So Far: 17.026844024658203
Total elapsed time: 00h 00m 47s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
32 |32 |filter_unit0
64 |None |filter_unit1
32 |None |filter_unit2
32 |None |filter_unit3
32 |None |filter_unit4
4 |5 |kernel_size0
4 |None |kernel_size1
1 |None |kernel_size2
4 |None |kernel_size3
3 |None |kernel_size4
3 |5 |pool_size0
5 |None |pool_size1
2 |None |pool_size2
2 |None |pool_size3
2 |None |pool_size4
1 |5 |stride_size0
4 |None |stride_size1
3 |None |stride_size2
3 |None |stride_size3
2 |None |stride_size4
0.1 |0.2 |dropout0
0.1 |None |dropout1
0 |None |dropout2
0 |None |dropout3
0.4 |None |dropout4
[2K
[2K
Trial 12 Complete [00h 00m 05s]
val_loss: 19.318180084228516
Best val_loss So Far: 17.026844024658203
Total elapsed time: 00h 00m 52s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
256 |32 |filter_unit0
256 |None |filter_unit1
1 |5 |kernel_size0
5 |None |kernel_size1
4 |5 |pool_size0
2 |None |pool_size1
1 |5 |stride_size0
1 |None |stride_size1
0.1 |0.2 |dropout0
0 |None |dropout1
[2K
[2K
Trial 13 Complete [00h 00m 04s]
val_loss: 19.23763084411621
Best val_loss So Far: 17.026844024658203
Total elapsed time: 00h 00m 56s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
128 |32 |filter_unit0
128 |None |filter_unit1
32 |None |filter_unit2
2 |5 |kernel_size0
4 |None |kernel_size1
3 |None |kernel_size2
3 |5 |pool_size0
1 |None |pool_size1
3 |None |pool_size2
5 |5 |stride_size0
4 |None |stride_size1
2 |None |stride_size2
0.1 |0.2 |dropout0
0 |None |dropout1
0 |None |dropout2
[2K
[2K
Trial 14 Complete [00h 00m 04s]
val_loss: 18.83361053466797
Best val_loss So Far: 17.026844024658203
Total elapsed time: 00h 01m 00s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
128 |32 |filter_unit0
256 |None |filter_unit1
128 |None |filter_unit2
128 |None |filter_unit3
1 |5 |kernel_size0
4 |None |kernel_size1
1 |None |kernel_size2
5 |None |kernel_size3
4 |5 |pool_size0
5 |None |pool_size1
4 |None |pool_size2
3 |None |pool_size3
3 |5 |stride_size0
1 |None |stride_size1
3 |None |stride_size2
2 |None |stride_size3
0.2 |0.2 |dropout0
0.4 |None |dropout1
0 |None |dropout2
0.2 |None |dropout3
[2K
[2K
Trial 15 Complete [00h 00m 05s]
val_loss: 17.669649124145508
Best val_loss So Far: 17.026844024658203
Total elapsed time: 00h 01m 06s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
32 |32 |filter_unit0
32 |None |filter_unit1
128 |None |filter_unit2
1 |5 |kernel_size0
5 |None |kernel_size1
4 |None |kernel_size2
3 |5 |pool_size0
3 |None |pool_size1
2 |None |pool_size2
2 |5 |stride_size0
2 |None |stride_size1
5 |None |stride_size2
0.2 |0.2 |dropout0
0.4 |None |dropout1
0.3 |None |dropout2
[2K
[2K
Trial 16 Complete [00h 00m 04s]
val_loss: 20.06836700439453
Best val_loss So Far: 17.026844024658203
Total elapsed time: 00h 01m 10s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
128 |32 |filter_unit0
256 |None |filter_unit1
3 |5 |kernel_size0
4 |None |kernel_size1
2 |5 |pool_size0
1 |None |pool_size1
1 |5 |stride_size0
5 |None |stride_size1
0.1 |0.2 |dropout0
0 |None |dropout1
[2K
[2K
Trial 17 Complete [00h 00m 04s]
val_loss: 19.27328872680664
Best val_loss So Far: 17.026844024658203
Total elapsed time: 00h 01m 14s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
256 |32 |filter_unit0
32 |None |filter_unit1
256 |None |filter_unit2
256 |None |filter_unit3
4 |5 |kernel_size0
1 |None |kernel_size1
1 |None |kernel_size2
3 |None |kernel_size3
2 |5 |pool_size0
4 |None |pool_size1
2 |None |pool_size2
2 |None |pool_size3
4 |5 |stride_size0
3 |None |stride_size1
1 |None |stride_size2
2 |None |stride_size3
0.1 |0.2 |dropout0
0.1 |None |dropout1
0.3 |None |dropout2
0 |None |dropout3
[2K
[2K
Trial 18 Complete [00h 00m 05s]
val_loss: 19.071718215942383
Best val_loss So Far: 17.026844024658203
Total elapsed time: 00h 01m 19s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
128 |32 |filter_unit0
256 |None |filter_unit1
32 |None |filter_unit2
64 |None |filter_unit3
5 |5 |kernel_size0
5 |None |kernel_size1
4 |None |kernel_size2
2 |None |kernel_size3
4 |5 |pool_size0
4 |None |pool_size1
3 |None |pool_size2
4 |None |pool_size3
3 |5 |stride_size0
2 |None |stride_size1
1 |None |stride_size2
5 |None |stride_size3
0 |0.2 |dropout0
0.2 |None |dropout1
0.1 |None |dropout2
0.2 |None |dropout3
[2K
[2K
Trial 19 Complete [00h 00m 06s]
val_loss: 19.11241912841797
Best val_loss So Far: 17.026844024658203
Total elapsed time: 00h 01m 25s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
4 |1 |n_layers
64 |32 |filter_unit0
32 |None |filter_unit1
64 |None |filter_unit2
64 |None |filter_unit3
1 |5 |kernel_size0
4 |None |kernel_size1
2 |None |kernel_size2
4 |None |kernel_size3
3 |5 |pool_size0
4 |None |pool_size1
1 |None |pool_size2
5 |None |pool_size3
3 |5 |stride_size0
2 |None |stride_size1
2 |None |stride_size2
1 |None |stride_size3
0 |0.2 |dropout0
0.1 |None |dropout1
0.4 |None |dropout2
0.3 |None |dropout3
[2K
[2K
Trial 20 Complete [00h 00m 05s]
val_loss: 19.116430282592773
Best val_loss So Far: 17.026844024658203
Total elapsed time: 00h 01m 29s
{'n_layers': 1, 'filter_unit0': 32, 'kernel_size0': 5, 'pool_size0': 5, 'stride_size0': 5, 'dropout0': 0.2}
Epoch 1/200
1/4 [======>.......................] - ETA: 2s - loss: 20.1165WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 1s 4ms/step - loss: 20.5137 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 20.1145WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 20.2204 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 21.3413WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 20.1277 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 19.5855WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 19.8700 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 20.2061WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 19.5726 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 20.0071WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 19.3614 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 19.0870WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 19.1483 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 19.0936WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 18.8818 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 18.4122WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 18.6733 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 20.4191WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 18.4343 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 19.2147WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 18.3235 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 16.7680WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 18.0315 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 17.5011WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 17.8530 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 17.6765WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 17.5475 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 17.1823WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 17.3969 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 16.7019WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 17.0359 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 17.2465WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 16.9192 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 17.0941WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 16.5973 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 17.0095WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 16.3059 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 15.9318WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 16.1372 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 15.7508WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 15.9130 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 14.6340WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 15.6758 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 14.9631WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 15.4517 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 15.4240WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 15.2020 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 16.0399WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 14.8871 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 15.2463WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 14.6576 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 13.9657WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 14.4108 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 14.2007WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 14.1741 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 13.9013WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 13.8836 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 13.1969WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 13.7038 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 11.8341WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 13.3377 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 13.8702WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 13.1505 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 13.1891WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 12.7973 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 12.5137WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 12.4273 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 13.0116WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 12.2774 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 12.0607WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 11.8373 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 11.8020WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 11.6654 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 12.5295WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 11.3322 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 12.2271WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 10.9942 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 11.5082WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 10.6327 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 9.4113WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 10.3206 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 10.3645WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 10.1224 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 9.5581WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 9.7979 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 10.0958WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 9.4336 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 9.7961WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 9.1591 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 7.8473WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 8.6040 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 8.1207WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 8.4473 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 7.9128WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 8.1605 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 7.9522WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.8949 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 7.7036WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.4863 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 6.9520WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 7.2165 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 6.0957WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.7548 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 8.2941WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.7101 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 6.3331WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.4681 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 6.4334WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 6.2409 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 7.6202WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 6.0299 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 6.7247WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.9446 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8327WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.7297 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 5.5481WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.6499 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4156WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.5926 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0725WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 5.4184 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 5.9237WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.2708 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6038WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 5.1193 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 5.6735WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.9466 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0699WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.8861 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8833WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.9712 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1089WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.8047 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4850WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.7790 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 5.7991WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.7010 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4019WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.5440 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4486WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.6787 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7794WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.4638 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5424WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.6447 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2680WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.4532 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2949WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.4070 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9162WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.4404 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8544WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.4079 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3049WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.2937 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7627WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3065 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2150WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.2923 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4448WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.2913 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7223WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.3341 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1703WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.1057 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5078WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.2295 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2779WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.1636 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0006WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.1695 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8443WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.2035 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8698WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.1233 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7715WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.0371 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0255WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.0476 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8066WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.0164 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9670WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.0174 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9631WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.0524 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2339WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.8952 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8634WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9475 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8311WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 4.0134 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1653WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.0396 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7345WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.9408 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6891WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.8529 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0201WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.9151 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9510WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.8146 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2472WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 4.0011 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1169WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.8877 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8002WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.8842 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5484WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.8300 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9615WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6834 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0307WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5901 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7733WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7728 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7298WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.7864 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4058WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.8457 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8949WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.7425 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4386WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.6854 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2591WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7530 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0847WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.8446 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7952WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.5950 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0155WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6924 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2029WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7279 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8313WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.6111 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6977WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.8924 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2569WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6660 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1705WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.7561 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5762WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7998 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2713WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7834 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4668WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.7008 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6164WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7436 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2394WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6805 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6038WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.8157 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1433WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6748 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3343WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5921 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8018WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.8527 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1805WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5995 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7399WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.6832 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5670WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.8267 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0119WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.6125 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7607WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6980 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9205WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5731 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1568WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.6855 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5554WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7297 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6169WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.8268 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5980WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7896 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4768WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.6984 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6043WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6980 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0570WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5807 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2088WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6764 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6005WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6450 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1327WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.8140 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5606WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7829 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7115WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.7084 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2593WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.6471 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3168WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6866 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9229WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6739 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8294WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.8454 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8900WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7002 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7616WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6457 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0199WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7906 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4396WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5695 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8993WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.8204 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5714WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.7443 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6520WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5788 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6434WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.6748 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4637WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7743 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2133WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6414 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5503WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.6498 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8422WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.7043 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5297WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.4924 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8277WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6371 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6367WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.7456 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8951WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6802 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0373WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5645 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1957WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5997 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2124WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7808 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8854WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5260 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3767WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6745 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0248WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.7885 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3763WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7128 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6010WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5667 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8986WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.5261 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4736WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7849 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4834WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6673 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9434WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6714 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1110WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.6036 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5329WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.8078 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3730WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6276 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7572WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.8440 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7136WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7896 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9655WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.6301 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8349WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.7096 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8269WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5740 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4854WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6225 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9146WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.5702 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6972WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.6768 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1840WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.5719 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8886WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6663 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5976WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6223 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9570WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7861 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0171WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 3ms/step - loss: 3.6646 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2402WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6656 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9377WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6279 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6822WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.7961 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9740WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 4ms/step - loss: 3.6158 - lr: 4.5400e-09
{'n_layers': 1, 'filter_unit0': 32, 'kernel_size0': 5, 'pool_size0': 5, 'stride_size0': 5, 'dropout0': 0.2}
1/39 [..............................] - ETA: 4s
39/39 [==============================] - 0s 1ms/step
WARNING:tensorflow:Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
adding new entry
subject config_id mdl_str ... r2 pearsonr_coeff pearsonr_pval
0 Pilot02 0 linreg ... -9.864563 0.038776 3.649402e-01
1 Pilot02 0 linreg ... -11.875765 0.070097 1.011711e-01
2 Pilot02 0 linreg ... -11.069278 0.047023 2.718220e-01
3 Pilot02 0 linreg ... -25.345517 0.016892 6.931765e-01
4 Pilot02 0 linreg ... -15.299470 0.118749 5.380273e-03
.. ... ... ... ... ... ... ...
472 Pilot02 1 cnn1d ... -3.237121 -0.038198 1.778268e-01
473 Pilot03 1 cnn1d ... -0.866313 -0.168026 1.253021e-07
474 Pilot02 1 cnn1d ... -2.588828 -0.028648 3.122942e-01
475 Pilot03 1 cnn1d ... -0.785958 -0.111936 4.529562e-04
476 Pilot02 1 cnn1d ... -3.861058 -0.032041 2.584131e-01
[477 rows x 18 columns]
imu-bvp_rr_Pilot02_id1_combi7.0-10.0-12.0-17.0-20.0
train
(35920, 11)
test
(364536, 10)
---CNN1D---
input shape: (1440, 7)
x shape: (115, 1440, 7)
Search: Running Trial #1
Value |Best Value So Far |Hyperparameter
5 |5 |n_layers
32 |32 |filter_unit0
32 |32 |filter_unit1
128 |128 |filter_unit2
32 |32 |filter_unit3
32 |32 |filter_unit4
3 |3 |kernel_size0
3 |3 |kernel_size1
5 |5 |kernel_size2
1 |1 |kernel_size3
5 |5 |kernel_size4
1 |1 |pool_size0
3 |3 |pool_size1
4 |4 |pool_size2
3 |3 |pool_size3
4 |4 |pool_size4
4 |4 |stride_size0
2 |2 |stride_size1
4 |4 |stride_size2
4 |4 |stride_size3
3 |3 |stride_size4
0.2 |0.2 |dropout0
0.1 |0.1 |dropout1
0.2 |0.2 |dropout2
0.2 |0.2 |dropout3
0.2 |0.2 |dropout4
[2K
[2K
Trial 1 Complete [00h 00m 06s]
val_loss: 19.728784561157227
Best val_loss So Far: 19.728784561157227
Total elapsed time: 00h 00m 06s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
4 |5 |n_layers
256 |32 |filter_unit0
32 |32 |filter_unit1
32 |128 |filter_unit2
256 |32 |filter_unit3
2 |3 |kernel_size0
4 |3 |kernel_size1
3 |5 |kernel_size2
2 |1 |kernel_size3
1 |1 |pool_size0
4 |3 |pool_size1
3 |4 |pool_size2
5 |3 |pool_size3
3 |4 |stride_size0
5 |2 |stride_size1
1 |4 |stride_size2
3 |4 |stride_size3
0.1 |0.2 |dropout0
0.4 |0.1 |dropout1
0.2 |0.2 |dropout2
0.2 |0.2 |dropout3
[2K
[2K
Trial 2 Complete [00h 00m 05s]
val_loss: 19.53774642944336
Best val_loss So Far: 19.53774642944336
Total elapsed time: 00h 00m 11s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
3 |4 |n_layers
64 |256 |filter_unit0
256 |32 |filter_unit1
128 |32 |filter_unit2
1 |2 |kernel_size0
3 |4 |kernel_size1
3 |3 |kernel_size2
2 |1 |pool_size0
3 |4 |pool_size1
4 |3 |pool_size2
1 |3 |stride_size0
2 |5 |stride_size1
3 |1 |stride_size2
0 |0.1 |dropout0
0.2 |0.4 |dropout1
0.4 |0.2 |dropout2
[2K
[2K
Trial 3 Complete [00h 00m 05s]
val_loss: 19.640396118164062
Best val_loss So Far: 19.53774642944336
Total elapsed time: 00h 00m 16s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
1 |4 |n_layers
32 |256 |filter_unit0
4 |2 |kernel_size0
3 |1 |pool_size0
2 |3 |stride_size0
0.1 |0.1 |dropout0
[2K
[2K
Trial 4 Complete [00h 00m 02s]
val_loss: 20.027101516723633
Best val_loss So Far: 19.53774642944336
Total elapsed time: 00h 00m 18s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
2 |4 |n_layers
64 |256 |filter_unit0
128 |32 |filter_unit1
5 |2 |kernel_size0
5 |4 |kernel_size1
2 |1 |pool_size0
1 |4 |pool_size1
3 |3 |stride_size0
3 |5 |stride_size1
0.4 |0.1 |dropout0
0 |0.4 |dropout1
[2K
[2K
Trial 5 Complete [00h 00m 03s]
val_loss: 20.37518310546875
Best val_loss So Far: 19.53774642944336
Total elapsed time: 00h 00m 22s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
2 |4 |n_layers
128 |256 |filter_unit0
128 |32 |filter_unit1
4 |2 |kernel_size0
5 |4 |kernel_size1
4 |1 |pool_size0
2 |4 |pool_size1
2 |3 |stride_size0
3 |5 |stride_size1
0.1 |0.1 |dropout0
0.2 |0.4 |dropout1
[2K
[2K
Trial 6 Complete [00h 00m 03s]
val_loss: 19.478347778320312
Best val_loss So Far: 19.478347778320312
Total elapsed time: 00h 00m 24s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
1 |2 |n_layers
128 |128 |filter_unit0
2 |4 |kernel_size0
1 |4 |pool_size0
2 |2 |stride_size0
0.3 |0.1 |dropout0
[2K
[2K
Trial 7 Complete [00h 00m 03s]
val_loss: 19.278976440429688
Best val_loss So Far: 19.278976440429688
Total elapsed time: 00h 00m 27s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
128 |128 |filter_unit0
128 |None |filter_unit1
64 |None |filter_unit2
128 |None |filter_unit3
128 |None |filter_unit4
1 |2 |kernel_size0
3 |None |kernel_size1
3 |None |kernel_size2
2 |None |kernel_size3
3 |None |kernel_size4
1 |1 |pool_size0
4 |None |pool_size1
3 |None |pool_size2
3 |None |pool_size3
1 |None |pool_size4
1 |2 |stride_size0
4 |None |stride_size1
2 |None |stride_size2
2 |None |stride_size3
1 |None |stride_size4
0.4 |0.3 |dropout0
0.3 |None |dropout1
0.3 |None |dropout2
0 |None |dropout3
0.4 |None |dropout4
[2K
[2K
Trial 8 Complete [00h 00m 05s]
val_loss: 19.461698532104492
Best val_loss So Far: 19.278976440429688
Total elapsed time: 00h 00m 33s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
256 |128 |filter_unit0
256 |None |filter_unit1
32 |None |filter_unit2
256 |None |filter_unit3
32 |None |filter_unit4
5 |2 |kernel_size0
1 |None |kernel_size1
4 |None |kernel_size2
2 |None |kernel_size3
4 |None |kernel_size4
5 |1 |pool_size0
4 |None |pool_size1
4 |None |pool_size2
2 |None |pool_size3
3 |None |pool_size4
2 |2 |stride_size0
1 |None |stride_size1
3 |None |stride_size2
5 |None |stride_size3
5 |None |stride_size4
0.4 |0.3 |dropout0
0.1 |None |dropout1
0.2 |None |dropout2
0.2 |None |dropout3
0 |None |dropout4
[2K
[2K
Trial 9 Complete [00h 00m 06s]
val_loss: 19.8394775390625
Best val_loss So Far: 19.278976440429688
Total elapsed time: 00h 00m 38s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
64 |128 |filter_unit0
64 |None |filter_unit1
256 |None |filter_unit2
3 |2 |kernel_size0
1 |None |kernel_size1
5 |None |kernel_size2
4 |1 |pool_size0
5 |None |pool_size1
1 |None |pool_size2
5 |2 |stride_size0
1 |None |stride_size1
1 |None |stride_size2
0.4 |0.3 |dropout0
0.2 |None |dropout1
0.1 |None |dropout2
[2K
[2K
Trial 10 Complete [00h 00m 04s]
val_loss: 18.926738739013672
Best val_loss So Far: 18.926738739013672
Total elapsed time: 00h 00m 42s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
3 |3 |n_layers
128 |64 |filter_unit0
128 |64 |filter_unit1
256 |256 |filter_unit2
1 |3 |kernel_size0
1 |1 |kernel_size1
5 |5 |kernel_size2
5 |4 |pool_size0
2 |5 |pool_size1
1 |1 |pool_size2
1 |5 |stride_size0
1 |1 |stride_size1
3 |1 |stride_size2
0 |0.4 |dropout0
0.2 |0.2 |dropout1
0 |0.1 |dropout2
[2K
[2K
Trial 11 Complete [00h 00m 04s]
val_loss: 19.286436080932617
Best val_loss So Far: 18.926738739013672
Total elapsed time: 00h 00m 46s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
2 |3 |n_layers
256 |64 |filter_unit0
128 |64 |filter_unit1
3 |3 |kernel_size0
3 |1 |kernel_size1
1 |4 |pool_size0
2 |5 |pool_size1
1 |5 |stride_size0
1 |1 |stride_size1
0 |0.4 |dropout0
0.4 |0.2 |dropout1
[2K
[2K
Trial 12 Complete [00h 00m 04s]
val_loss: 19.756805419921875
Best val_loss So Far: 18.926738739013672
Total elapsed time: 00h 00m 50s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
1 |3 |n_layers
64 |64 |filter_unit0
4 |3 |kernel_size0
1 |4 |pool_size0
4 |5 |stride_size0
0.4 |0.4 |dropout0
[2K
[2K
Trial 13 Complete [00h 00m 03s]
val_loss: 19.401844024658203
Best val_loss So Far: 18.926738739013672
Total elapsed time: 00h 00m 52s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
3 |3 |n_layers
256 |64 |filter_unit0
32 |64 |filter_unit1
32 |256 |filter_unit2
3 |3 |kernel_size0
4 |1 |kernel_size1
5 |5 |kernel_size2
2 |4 |pool_size0
1 |5 |pool_size1
2 |1 |pool_size2
1 |5 |stride_size0
5 |1 |stride_size1
1 |1 |stride_size2
0.3 |0.4 |dropout0
0.4 |0.2 |dropout1
0.1 |0.1 |dropout2
[2K
[2K
Trial 14 Complete [00h 00m 04s]
val_loss: 19.432283401489258
Best val_loss So Far: 18.926738739013672
Total elapsed time: 00h 00m 57s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
4 |3 |n_layers
32 |64 |filter_unit0
256 |64 |filter_unit1
256 |256 |filter_unit2
256 |None |filter_unit3
2 |3 |kernel_size0
5 |1 |kernel_size1
2 |5 |kernel_size2
2 |None |kernel_size3
5 |4 |pool_size0
2 |5 |pool_size1
4 |1 |pool_size2
5 |None |pool_size3
1 |5 |stride_size0
1 |1 |stride_size1
2 |1 |stride_size2
2 |None |stride_size3
0.4 |0.4 |dropout0
0.1 |0.2 |dropout1
0 |0.1 |dropout2
0.1 |None |dropout3
[2K
[2K
Trial 15 Complete [00h 00m 06s]
val_loss: 19.158039093017578
Best val_loss So Far: 18.926738739013672
Total elapsed time: 00h 01m 03s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
5 |3 |n_layers
64 |64 |filter_unit0
256 |64 |filter_unit1
128 |256 |filter_unit2
128 |None |filter_unit3
256 |None |filter_unit4
2 |3 |kernel_size0
2 |1 |kernel_size1
1 |5 |kernel_size2
4 |None |kernel_size3
3 |None |kernel_size4
2 |4 |pool_size0
5 |5 |pool_size1
2 |1 |pool_size2
4 |None |pool_size3
1 |None |pool_size4
4 |5 |stride_size0
5 |1 |stride_size1
4 |1 |stride_size2
4 |None |stride_size3
1 |None |stride_size4
0.1 |0.4 |dropout0
0.2 |0.2 |dropout1
0.3 |0.1 |dropout2
0.3 |None |dropout3
0.2 |None |dropout4
[2K
[2K
Trial 16 Complete [00h 00m 05s]
val_loss: 19.809123992919922
Best val_loss So Far: 18.926738739013672
Total elapsed time: 00h 01m 09s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
2 |3 |n_layers
32 |64 |filter_unit0
32 |64 |filter_unit1
3 |3 |kernel_size0
3 |1 |kernel_size1
1 |4 |pool_size0
3 |5 |pool_size1
1 |5 |stride_size0
5 |1 |stride_size1
0.3 |0.4 |dropout0
0.2 |0.2 |dropout1
[2K
[2K
Trial 17 Complete [00h 00m 03s]
val_loss: 20.469058990478516
Best val_loss So Far: 18.926738739013672
Total elapsed time: 00h 01m 12s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
4 |3 |n_layers
256 |64 |filter_unit0
256 |64 |filter_unit1
64 |256 |filter_unit2
32 |None |filter_unit3
2 |3 |kernel_size0
2 |1 |kernel_size1
4 |5 |kernel_size2
2 |None |kernel_size3
2 |4 |pool_size0
2 |5 |pool_size1
1 |1 |pool_size2
2 |None |pool_size3
5 |5 |stride_size0
4 |1 |stride_size1
4 |1 |stride_size2
4 |None |stride_size3
0.3 |0.4 |dropout0
0.1 |0.2 |dropout1
0.4 |0.1 |dropout2
0.4 |None |dropout3
[2K
[2K
Trial 18 Complete [00h 00m 05s]
val_loss: 19.89264678955078
Best val_loss So Far: 18.926738739013672
Total elapsed time: 00h 01m 17s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
4 |3 |n_layers
64 |64 |filter_unit0
256 |64 |filter_unit1
128 |256 |filter_unit2
128 |None |filter_unit3
1 |3 |kernel_size0
1 |1 |kernel_size1
1 |5 |kernel_size2
2 |None |kernel_size3
4 |4 |pool_size0
4 |5 |pool_size1
1 |1 |pool_size2
3 |None |pool_size3
2 |5 |stride_size0
1 |1 |stride_size1
3 |1 |stride_size2
1 |None |stride_size3
0.3 |0.4 |dropout0
0.1 |0.2 |dropout1
0.1 |0.1 |dropout2
0.1 |None |dropout3
[2K
[2K
Trial 19 Complete [00h 00m 05s]
val_loss: 19.745651245117188
Best val_loss So Far: 18.926738739013672
Total elapsed time: 00h 01m 22s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
5 |3 |n_layers
256 |64 |filter_unit0
128 |64 |filter_unit1
64 |256 |filter_unit2
256 |None |filter_unit3
256 |None |filter_unit4
3 |3 |kernel_size0
2 |1 |kernel_size1
4 |5 |kernel_size2
3 |None |kernel_size3
2 |None |kernel_size4
5 |4 |pool_size0
1 |5 |pool_size1
3 |1 |pool_size2
1 |None |pool_size3
1 |None |pool_size4
2 |5 |stride_size0
4 |1 |stride_size1
4 |1 |stride_size2
4 |None |stride_size3
3 |None |stride_size4
0.2 |0.4 |dropout0
0.2 |0.2 |dropout1
0.3 |0.1 |dropout2
0 |None |dropout3
0 |None |dropout4
[2K
[2K
Trial 20 Complete [00h 00m 06s]
val_loss: 19.584091186523438
Best val_loss So Far: 18.926738739013672
Total elapsed time: 00h 01m 28s
{'n_layers': 3, 'filter_unit0': 64, 'filter_unit1': 64, 'filter_unit2': 256, 'kernel_size0': 3, 'kernel_size1': 1, 'kernel_size2': 5, 'pool_size0': 4, 'pool_size1': 5, 'pool_size2': 1, 'stride_size0': 5, 'stride_size1': 1, 'stride_size2': 1, 'dropout0': 0.4, 'dropout1': 0.2, 'dropout2': 0.1}
Epoch 1/200
1/4 [======>.......................] - ETA: 6s - loss: 16.6443
4/4 [==============================] - ETA: 0s - loss: 15.0038WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 2s 39ms/step - loss: 15.0038 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 13.4218WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 11.0272 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 7.1633WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 7.2110 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 6.7101WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 5.2694 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5033WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 5.2218 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8527WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 5.1043 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3613WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 5.0062 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9064WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 10ms/step - loss: 5.1432 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3839WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 4.7157 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1694WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 4.5615 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7041WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 4.6871 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7717WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 4.1621 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0183WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 4.0477 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0581WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.7382 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1666WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.6421 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1662WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.6138 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5506WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.7785 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7689WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.4348 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2402WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.4586 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8072WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.4562 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4141WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.5424 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4134WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.4961 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9226WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.8351 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6794WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.4728 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7879WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.6286 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7952WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.2095 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2123WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.4493 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9964WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.2411 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5781WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.3189 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0150WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.2460 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9382WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.1457 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3408WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.0324 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5244WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.8575 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1620WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.7381 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9203WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.1850 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5454WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.3516 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7522WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.9504 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2759WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.8139 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0444WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.9618 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4071WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.8103 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4817WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.8429 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1505WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.3795 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3510WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.1177 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4036WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.6145 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3543WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.6462 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6645WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.6511 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6204WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.6751 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4149WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.9146 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4631WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 3.1508 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8941WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.8542 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8435WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.6814 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8775WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.9213 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2843WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5793 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5586WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4448 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8644WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.6579 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7993WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.7895 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6724WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.6093 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4725WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.6451 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3506WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4666 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8075WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.7848 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9658WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.8306 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8412WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.6974 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9642WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5567 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2464WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.6396 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7896WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.9324 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3402WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.6838 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5205WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4177 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5864WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.6337 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3735WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.7186 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0919WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.6583 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1034WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.6157 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5986WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.3458 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3622WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5383 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6456WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.3393 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9367WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.7579 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4252WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2298 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2319WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4982 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4433WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5475 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8319WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5294 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8898WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.7195 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1011WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2999 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2183WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2936 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4495WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5484 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7941WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2978 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3083WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2309 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0505WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.3377 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4739WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2753 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7234WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.3311 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3585WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1526 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0483WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.3131 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4784WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1976 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1028WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4567 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0255WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2869 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3335WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1428 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5538WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4803 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5191WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5259 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8764WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.3694 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9522WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.8935 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1095WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.3411 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2774WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.9967 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3116WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2322 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7404WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1571 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1581WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4578 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0527WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1610 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9110WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.9947 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5728WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.0974 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0827WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2175 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0836WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.0919 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0106WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2174 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3715WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.3032 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1950WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.9105 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0843WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2004 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7449WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.3057 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2468WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1913 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9759WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2090 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2027WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1455 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7481WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.8979 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2965WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4693 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7168WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2367 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6941WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.3941 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7932WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.0851 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8786WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.0810 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3452WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.9765 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8454WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1041 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3485WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2712 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9408WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1068 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6346WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4466 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 1.4449WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.8144 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2784WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1884 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6067WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.3716 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9796WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1983 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0746WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1544 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9247WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2232 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2688WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2893 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0741WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4896 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1376WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.9299 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1921WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2397 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3490WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.0026 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8557WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.9345 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0056WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2085 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2736WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1349 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3692WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.3091 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4560WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.0933 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9160WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.0053 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4344WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2672 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3273WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2006 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4696WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2244 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9652WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1066 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0616WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.0288 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1653WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2733 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8261WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.8745 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0281WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1130 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4725WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4976 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1149WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1323 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2326WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.3213 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9832WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.3955 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5013WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1701 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3006WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2042 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1052WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1294 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1081WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.0848 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3581WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1321 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5054WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1785 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7214WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.0473 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8373WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.3485 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6536WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.0592 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4285WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1938 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7997WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.5417 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7252WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1464 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0355WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.3469 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0824WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.4515 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6510WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1933 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6944WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.3546 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0786WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2437 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2885WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.3539 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9816WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2686 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4792WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2361 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2363WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1654 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2265WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1909 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2589WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2298 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9104WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1737 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0962WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.3760 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3530WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2272 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4925WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1943 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0774WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1970 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8853WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1853 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0546WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.3449 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5656WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.0158 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0830WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 10ms/step - loss: 1.9812 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5808WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2453 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0246WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.0908 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1587WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2505 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8495WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.0799 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1532WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 1.9985 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3631WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.1611 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4244WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.3865 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2870WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 10ms/step - loss: 2.3069 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5122WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 10ms/step - loss: 2.0984 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3587WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 10ms/step - loss: 2.3270 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7710WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.3494 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2947WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 9ms/step - loss: 2.2541 - lr: 4.5400e-09
{'n_layers': 3, 'filter_unit0': 64, 'filter_unit1': 64, 'filter_unit2': 256, 'kernel_size0': 3, 'kernel_size1': 1, 'kernel_size2': 5, 'pool_size0': 4, 'pool_size1': 5, 'pool_size2': 1, 'stride_size0': 5, 'stride_size1': 1, 'stride_size2': 1, 'dropout0': 0.4, 'dropout1': 0.2, 'dropout2': 0.1}
1/39 [..............................] - ETA: 9s
19/39 [=============>................] - ETA: 0s
37/39 [===========================>..] - ETA: 0s
39/39 [==============================] - 0s 4ms/step
WARNING:tensorflow:Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
adding new entry
subject config_id mdl_str ... r2 pearsonr_coeff pearsonr_pval
0 Pilot02 0 linreg ... -9.864563 0.038776 0.364940
1 Pilot02 0 linreg ... -11.875765 0.070097 0.101171
2 Pilot02 0 linreg ... -11.069278 0.047023 0.271822
3 Pilot02 0 linreg ... -25.345517 0.016892 0.693177
4 Pilot02 0 linreg ... -15.299470 0.118749 0.005380
.. ... ... ... ... ... ... ...
474 Pilot02 1 cnn1d ... -2.588828 -0.028648 0.312294
475 Pilot03 1 cnn1d ... -0.785958 -0.111936 0.000453
476 Pilot02 1 cnn1d ... -3.861058 -0.032041 0.258413
477 Pilot03 1 cnn1d ... -0.296593 -0.012099 0.705502
478 Pilot02 1 cnn1d ... -1.008970 -0.015068 0.595148
[479 rows x 18 columns]
imu-bvp_rr_Pilot02_id1_combi7.0-10.0-15.0-17.0-20.0
train
(35920, 11)
test
(364536, 10)
---CNN1D---
input shape: (1440, 7)
x shape: (115, 1440, 7)
Search: Running Trial #1
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
64 |64 |filter_unit0
1 |1 |kernel_size0
4 |4 |pool_size0
1 |1 |stride_size0
0 |0 |dropout0
[2K
[2K
Trial 1 Complete [00h 00m 03s]
val_loss: 18.642993927001953
Best val_loss So Far: 18.642993927001953
Total elapsed time: 00h 00m 03s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
1 |1 |n_layers
64 |64 |filter_unit0
4 |1 |kernel_size0
3 |4 |pool_size0
2 |1 |stride_size0
0 |0 |dropout0
[2K
[2K
Trial 2 Complete [00h 00m 02s]
val_loss: 20.42367935180664
Best val_loss So Far: 18.642993927001953
Total elapsed time: 00h 00m 05s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
64 |64 |filter_unit0
32 |None |filter_unit1
256 |None |filter_unit2
4 |1 |kernel_size0
5 |None |kernel_size1
1 |None |kernel_size2
5 |4 |pool_size0
5 |None |pool_size1
3 |None |pool_size2
1 |1 |stride_size0
3 |None |stride_size1
1 |None |stride_size2
0 |0 |dropout0
0.2 |None |dropout1
0.2 |None |dropout2
[2K
[2K
Trial 3 Complete [00h 00m 04s]
val_loss: 19.059240341186523
Best val_loss So Far: 18.642993927001953
Total elapsed time: 00h 00m 09s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
256 |64 |filter_unit0
128 |None |filter_unit1
3 |1 |kernel_size0
1 |None |kernel_size1
3 |4 |pool_size0
4 |None |pool_size1
3 |1 |stride_size0
3 |None |stride_size1
0 |0 |dropout0
0.2 |None |dropout1
[2K
[2K
Trial 4 Complete [00h 00m 03s]
val_loss: 19.516860961914062
Best val_loss So Far: 18.642993927001953
Total elapsed time: 00h 00m 12s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
5 |1 |n_layers
32 |64 |filter_unit0
64 |None |filter_unit1
256 |None |filter_unit2
256 |None |filter_unit3
128 |None |filter_unit4
1 |1 |kernel_size0
1 |None |kernel_size1
2 |None |kernel_size2
5 |None |kernel_size3
3 |None |kernel_size4
3 |4 |pool_size0
5 |None |pool_size1
5 |None |pool_size2
5 |None |pool_size3
4 |None |pool_size4
3 |1 |stride_size0
4 |None |stride_size1
1 |None |stride_size2
1 |None |stride_size3
1 |None |stride_size4
0.4 |0 |dropout0
0 |None |dropout1
0 |None |dropout2
0.4 |None |dropout3
0.3 |None |dropout4
[2K
[2K
Trial 5 Complete [00h 00m 06s]
val_loss: 18.64549446105957
Best val_loss So Far: 18.642993927001953
Total elapsed time: 00h 00m 18s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
32 |64 |filter_unit0
256 |None |filter_unit1
5 |1 |kernel_size0
1 |None |kernel_size1
4 |4 |pool_size0
4 |None |pool_size1
3 |1 |stride_size0
1 |None |stride_size1
0.1 |0 |dropout0
0.4 |None |dropout1
[2K
[2K
Trial 6 Complete [00h 00m 03s]
val_loss: 19.455045700073242
Best val_loss So Far: 18.642993927001953
Total elapsed time: 00h 00m 22s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
64 |64 |filter_unit0
32 |None |filter_unit1
1 |1 |kernel_size0
4 |None |kernel_size1
5 |4 |pool_size0
2 |None |pool_size1
4 |1 |stride_size0
1 |None |stride_size1
0.2 |0 |dropout0
0 |None |dropout1
[2K
[2K
Trial 7 Complete [00h 00m 03s]
val_loss: 18.238672256469727
Best val_loss So Far: 18.238672256469727
Total elapsed time: 00h 00m 25s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
5 |2 |n_layers
128 |64 |filter_unit0
128 |32 |filter_unit1
128 |None |filter_unit2
64 |None |filter_unit3
128 |None |filter_unit4
5 |1 |kernel_size0
4 |4 |kernel_size1
2 |None |kernel_size2
2 |None |kernel_size3
5 |None |kernel_size4
3 |5 |pool_size0
4 |2 |pool_size1
1 |None |pool_size2
3 |None |pool_size3
3 |None |pool_size4
3 |4 |stride_size0
3 |1 |stride_size1
4 |None |stride_size2
4 |None |stride_size3
1 |None |stride_size4
0.3 |0.2 |dropout0
0 |0 |dropout1
0 |None |dropout2
0.1 |None |dropout3
0.4 |None |dropout4
[2K
[2K
Trial 8 Complete [00h 00m 06s]
val_loss: 19.588123321533203
Best val_loss So Far: 18.238672256469727
Total elapsed time: 00h 00m 31s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
4 |2 |n_layers
128 |64 |filter_unit0
256 |32 |filter_unit1
128 |None |filter_unit2
64 |None |filter_unit3
4 |1 |kernel_size0
4 |4 |kernel_size1
3 |None |kernel_size2
5 |None |kernel_size3
5 |5 |pool_size0
1 |2 |pool_size1
2 |None |pool_size2
2 |None |pool_size3
1 |4 |stride_size0
1 |1 |stride_size1
2 |None |stride_size2
5 |None |stride_size3
0 |0.2 |dropout0
0.3 |0 |dropout1
0.1 |None |dropout2
0.2 |None |dropout3
[2K
[2K
Trial 9 Complete [00h 00m 06s]
val_loss: 19.485746383666992
Best val_loss So Far: 18.238672256469727
Total elapsed time: 00h 00m 37s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
4 |2 |n_layers
64 |64 |filter_unit0
256 |32 |filter_unit1
32 |None |filter_unit2
256 |None |filter_unit3
3 |1 |kernel_size0
5 |4 |kernel_size1
4 |None |kernel_size2
1 |None |kernel_size3
4 |5 |pool_size0
1 |2 |pool_size1
5 |None |pool_size2
3 |None |pool_size3
2 |4 |stride_size0
5 |1 |stride_size1
5 |None |stride_size2
3 |None |stride_size3
0 |0.2 |dropout0
0.2 |0 |dropout1
0.1 |None |dropout2
0.4 |None |dropout3
[2K
[2K
Trial 10 Complete [00h 00m 05s]
val_loss: 19.76249122619629
Best val_loss So Far: 18.238672256469727
Total elapsed time: 00h 00m 42s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
2 |2 |n_layers
128 |64 |filter_unit0
256 |32 |filter_unit1
4 |1 |kernel_size0
2 |4 |kernel_size1
4 |5 |pool_size0
2 |2 |pool_size1
5 |4 |stride_size0
5 |1 |stride_size1
0.2 |0.2 |dropout0
0 |0 |dropout1
[2K
[2K
Trial 11 Complete [00h 00m 03s]
val_loss: 19.76923179626465
Best val_loss So Far: 18.238672256469727
Total elapsed time: 00h 00m 45s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
5 |2 |n_layers
128 |64 |filter_unit0
128 |32 |filter_unit1
256 |None |filter_unit2
256 |None |filter_unit3
64 |None |filter_unit4
3 |1 |kernel_size0
3 |4 |kernel_size1
2 |None |kernel_size2
1 |None |kernel_size3
2 |None |kernel_size4
1 |5 |pool_size0
3 |2 |pool_size1
4 |None |pool_size2
4 |None |pool_size3
3 |None |pool_size4
5 |4 |stride_size0
4 |1 |stride_size1
5 |None |stride_size2
4 |None |stride_size3
5 |None |stride_size4
0.1 |0.2 |dropout0
0 |0 |dropout1
0.2 |None |dropout2
0.4 |None |dropout3
0 |None |dropout4
[2K
[2K
Trial 12 Complete [00h 00m 05s]
val_loss: 19.770875930786133
Best val_loss So Far: 18.238672256469727
Total elapsed time: 00h 00m 51s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
3 |2 |n_layers
64 |64 |filter_unit0
64 |32 |filter_unit1
64 |None |filter_unit2
2 |1 |kernel_size0
4 |4 |kernel_size1
4 |None |kernel_size2
2 |5 |pool_size0
4 |2 |pool_size1
5 |None |pool_size2
2 |4 |stride_size0
2 |1 |stride_size1
3 |None |stride_size2
0.1 |0.2 |dropout0
0.2 |0 |dropout1
0.1 |None |dropout2
[2K
[2K
Trial 13 Complete [00h 00m 05s]
val_loss: 19.506526947021484
Best val_loss So Far: 18.238672256469727
Total elapsed time: 00h 00m 55s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
1 |2 |n_layers
64 |64 |filter_unit0
4 |1 |kernel_size0
2 |5 |pool_size0
5 |4 |stride_size0
0 |0.2 |dropout0
[2K
[2K
Trial 14 Complete [00h 00m 03s]
val_loss: 19.803611755371094
Best val_loss So Far: 18.238672256469727
Total elapsed time: 00h 00m 58s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
5 |2 |n_layers
128 |64 |filter_unit0
128 |32 |filter_unit1
32 |None |filter_unit2
256 |None |filter_unit3
128 |None |filter_unit4
4 |1 |kernel_size0
4 |4 |kernel_size1
2 |None |kernel_size2
3 |None |kernel_size3
5 |None |kernel_size4
5 |5 |pool_size0
4 |2 |pool_size1
1 |None |pool_size2
3 |None |pool_size3
2 |None |pool_size4
2 |4 |stride_size0
3 |1 |stride_size1
3 |None |stride_size2
3 |None |stride_size3
2 |None |stride_size4
0 |0.2 |dropout0
0.1 |0 |dropout1
0 |None |dropout2
0.2 |None |dropout3
0.3 |None |dropout4
[2K
[2K
Trial 15 Complete [00h 00m 06s]
val_loss: 19.23748207092285
Best val_loss So Far: 18.238672256469727
Total elapsed time: 00h 01m 04s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
3 |2 |n_layers
128 |64 |filter_unit0
64 |32 |filter_unit1
64 |None |filter_unit2
2 |1 |kernel_size0
5 |4 |kernel_size1
3 |None |kernel_size2
4 |5 |pool_size0
2 |2 |pool_size1
4 |None |pool_size2
4 |4 |stride_size0
2 |1 |stride_size1
5 |None |stride_size2
0.1 |0.2 |dropout0
0.4 |0 |dropout1
0 |None |dropout2
[2K
[2K
Trial 16 Complete [00h 00m 04s]
val_loss: 20.024436950683594
Best val_loss So Far: 18.238672256469727
Total elapsed time: 00h 01m 08s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
4 |2 |n_layers
128 |64 |filter_unit0
128 |32 |filter_unit1
64 |None |filter_unit2
32 |None |filter_unit3
4 |1 |kernel_size0
2 |4 |kernel_size1
1 |None |kernel_size2
5 |None |kernel_size3
1 |5 |pool_size0
1 |2 |pool_size1
1 |None |pool_size2
5 |None |pool_size3
2 |4 |stride_size0
1 |1 |stride_size1
4 |None |stride_size2
3 |None |stride_size3
0.2 |0.2 |dropout0
0.3 |0 |dropout1
0.3 |None |dropout2
0 |None |dropout3
[2K
[2K
Trial 17 Complete [00h 00m 05s]
val_loss: 19.644676208496094
Best val_loss So Far: 18.238672256469727
Total elapsed time: 00h 01m 13s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
4 |2 |n_layers
256 |64 |filter_unit0
64 |32 |filter_unit1
64 |None |filter_unit2
32 |None |filter_unit3
3 |1 |kernel_size0
3 |4 |kernel_size1
3 |None |kernel_size2
3 |None |kernel_size3
1 |5 |pool_size0
1 |2 |pool_size1
3 |None |pool_size2
4 |None |pool_size3
3 |4 |stride_size0
3 |1 |stride_size1
4 |None |stride_size2
5 |None |stride_size3
0.1 |0.2 |dropout0
0.4 |0 |dropout1
0.3 |None |dropout2
0.1 |None |dropout3
[2K
[2K
Trial 18 Complete [00h 00m 05s]
val_loss: 19.860204696655273
Best val_loss So Far: 18.238672256469727
Total elapsed time: 00h 01m 19s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
2 |2 |n_layers
128 |64 |filter_unit0
128 |32 |filter_unit1
4 |1 |kernel_size0
4 |4 |kernel_size1
2 |5 |pool_size0
4 |2 |pool_size1
3 |4 |stride_size0
4 |1 |stride_size1
0.1 |0.2 |dropout0
0.4 |0 |dropout1
[2K
[2K
Trial 19 Complete [00h 00m 03s]
val_loss: 20.706693649291992
Best val_loss So Far: 18.238672256469727
Total elapsed time: 00h 01m 22s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
4 |2 |n_layers
128 |64 |filter_unit0
256 |32 |filter_unit1
256 |None |filter_unit2
32 |None |filter_unit3
1 |1 |kernel_size0
3 |4 |kernel_size1
5 |None |kernel_size2
1 |None |kernel_size3
3 |5 |pool_size0
1 |2 |pool_size1
4 |None |pool_size2
2 |None |pool_size3
4 |4 |stride_size0
2 |1 |stride_size1
3 |None |stride_size2
5 |None |stride_size3
0.1 |0.2 |dropout0
0.4 |0 |dropout1
0.1 |None |dropout2
0.2 |None |dropout3
[2K
[2K
Trial 20 Complete [00h 00m 06s]
val_loss: 19.523813247680664
Best val_loss So Far: 18.238672256469727
Total elapsed time: 00h 01m 27s
{'n_layers': 2, 'filter_unit0': 64, 'filter_unit1': 32, 'kernel_size0': 1, 'kernel_size1': 4, 'pool_size0': 5, 'pool_size1': 2, 'stride_size0': 4, 'stride_size1': 1, 'dropout0': 0.2, 'dropout1': 0.0}
Epoch 1/200
1/4 [======>.......................] - ETA: 4s - loss: 18.0918
4/4 [==============================] - ETA: 0s - loss: 17.4459WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 2s 22ms/step - loss: 17.4459 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 16.4187WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 17.1398 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 17.5292WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 16.8336 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 17.2045WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 16.5858 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 15.3019WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 16.3856 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 15.9454WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 15.8894 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 14.7573WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 15.5074 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 15.6458WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 15.3000 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 15.1444WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 14.9774 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 14.5461WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 14.2809 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 14.4045WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 14.3907 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 14.2777WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 14.0017 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 13.6266WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 13.7675 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 13.6786WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 13.5614 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 12.8056WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 13.0966 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 12.9575WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 13.0647 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 14.4256WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 12.5035 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 12.6862WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 12.2624 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 11.7908WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 11.9640 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 11.6370WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 11.7793 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 11.0008WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 11.4400 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 12.1300WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 11.1442 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 10.6613WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 10.9110 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 10.5843WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 10.7515 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 10.0336WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 10.3881 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 9.5230WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 10.3427 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 9.8223WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 9.8671 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 8.7065WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 9.7311 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 9.1013WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 9.4703 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 9.6519WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 9.2145 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 8.9870WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 9.0837 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 9.0793WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 8.5418 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 8.2139WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 8.5162 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 8.1755WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 8.5150 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 8.6244WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 8.3184 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 7.5787WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 7.9903 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 7.7210WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 10ms/step - loss: 7.6649 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 8.2237WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 7.6502 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 8.4109WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 7.4705 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 8.7356WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 7.1663 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 6.3662WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 7.2099 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4346WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 7.0706 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 7.5055WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 6.5883 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 6.3293WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 6.6453 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8620WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 6.5657 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 6.2751WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 6.5757 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 6.1100WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 6.3529 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 7.1555WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 6.1986 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 6.4894WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 5.9990 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 6.1938WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 6.1194 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 6.5353WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 5.9340 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3541WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 5.8365 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 5.7846WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 5.7611 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7419WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 5.5699 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4119WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 5.3226 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0229WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 5.3752 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2705WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 5.4182 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8759WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 5.2916 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9608WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.9684 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 5.5419WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 5.1367 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2751WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.9377 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0805WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 5.0568 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8268WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.8249 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6626WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.9031 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4341WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.5161 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7524WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.7676 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 5.5899WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.6330 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9527WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.6543 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 4.6484WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.7016 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 5.6165WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.4613 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9091WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.7091 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4726WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.3893 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2901WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.2481 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1183WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.4244 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 5.0767WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.4443 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1631WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.0713 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9892WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.3702 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8839WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.8844 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1789WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.1151 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4378WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.1790 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4013WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.0569 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4001WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.1125 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4600WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.8504 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2402WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.0842 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1343WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.0266 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6803WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.9448 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6987WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.9384 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3398WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.9949 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5216WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.9417 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8793WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.6821 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2475WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.6120 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0192WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.7510 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8928WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.6356 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3581WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.7007 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3314WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.8113 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3916WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.4693 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2578WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.6048 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2585WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.4791 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9072WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.3354 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2416WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.5205 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0609WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.3077 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3893WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.4340 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3754WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2009 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5257WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.3056 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1513WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2004 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7920WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2877 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0350WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0813 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9756WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0917 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8406WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.4415 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8936WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.4042 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0934WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.3238 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3364WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.4097 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5632WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1633 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3800WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2321 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5701WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.3623 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6257WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2822 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0862WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1626 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9681WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.3334 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2001WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.3785 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9060WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.9947 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2634WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2721 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0543WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2181 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4819WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1679 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2900WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.3123 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9573WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1631 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7247WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2728 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1547WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1126 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9275WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.3999 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4397WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2767 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7109WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1685 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5539WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.3418 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5568WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2225 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5368WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.4355 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5158WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1619 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2516WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1387 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9213WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.3776 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6704WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.4182 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0989WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.4718 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1575WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2390 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2210WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.9537 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6870WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1001 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8876WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0061 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9499WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.3686 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8733WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.3797 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2225WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0420 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2753WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.3329 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 1.8781WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.9540 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9661WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1938 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6937WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2536 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0694WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2929 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5977WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1836 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9075WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.3609 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9694WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0355 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6094WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2345 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8719WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0390 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0302WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2301 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1475WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1343 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3063WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2368 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3769WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2208 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8520WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1528 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7968WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2894 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8065WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.3657 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9561WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2528 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0102WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1296 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6701WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2939 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1881WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.3544 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0106WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1689 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4608WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2144 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4229WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2680 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4527WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.3875 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0727WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2399 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3823WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0079 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1527WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1747 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2985WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.3220 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6240WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.5376 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3778WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2951 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3183WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0345 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7124WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.3343 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9517WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.3468 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4726WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2104 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5924WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.3862 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0272WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0986 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8596WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2899 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4191WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0588 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3588WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0507 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3674WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2370 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2301WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2870 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2059WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2546 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4972WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2416 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3368WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1189 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5065WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.3801 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1813WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2213 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9661WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.6670 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7071WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1935 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1361WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.3913 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3835WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1558 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0019WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2464 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3202WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1756 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2466WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2980 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0224WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2994 - lr: 4.5400e-09
{'n_layers': 2, 'filter_unit0': 64, 'filter_unit1': 32, 'kernel_size0': 1, 'kernel_size1': 4, 'pool_size0': 5, 'pool_size1': 2, 'stride_size0': 4, 'stride_size1': 1, 'dropout0': 0.2, 'dropout1': 0.0}
1/39 [..............................] - ETA: 7s
27/39 [===================>..........] - ETA: 0s
39/39 [==============================] - 0s 2ms/step
WARNING:tensorflow:Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.13
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.13
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.14
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.14
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.15
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.15
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.16
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.16
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.17
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.17
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.18
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.18
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.19
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.19
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.20
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.20
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.21
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.21
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.22
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.22
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.23
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.23
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.24
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.24
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.25
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.25
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.26
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.26
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.27
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.27
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.28
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.28
adding new entry
subject config_id mdl_str ... r2 pearsonr_coeff pearsonr_pval
0 Pilot02 0 linreg ... -9.864563 0.038776 0.364940
1 Pilot02 0 linreg ... -11.875765 0.070097 0.101171
2 Pilot02 0 linreg ... -11.069278 0.047023 0.271822
3 Pilot02 0 linreg ... -25.345517 0.016892 0.693177
4 Pilot02 0 linreg ... -15.299470 0.118749 0.005380
.. ... ... ... ... ... ... ...
477 Pilot03 1 cnn1d ... -0.296593 -0.012099 0.705502
478 Pilot02 1 cnn1d ... -1.008970 -0.015068 0.595148
479 Pilot03 1 cnn1d ... -5.057236 -0.069644 0.029419
480 Pilot03 1 cnn1d ... -0.531484 -0.093171 0.003542
481 Pilot02 1 cnn1d ... -8.579331 -0.017832 0.529434
[482 rows x 18 columns]
imu-bvp_rr_Pilot02_id1_combi7.0-12.0-15.0-17.0-20.0
train
(35920, 11)
test
(364536, 10)
---CNN1D---
input shape: (1440, 7)
x shape: (115, 1440, 7)
Search: Running Trial #1
Value |Best Value So Far |Hyperparameter
4 |4 |n_layers
128 |128 |filter_unit0
64 |64 |filter_unit1
32 |32 |filter_unit2
32 |32 |filter_unit3
5 |5 |kernel_size0
4 |4 |kernel_size1
1 |1 |kernel_size2
4 |4 |kernel_size3
2 |2 |pool_size0
2 |2 |pool_size1
4 |4 |pool_size2
2 |2 |pool_size3
4 |4 |stride_size0
5 |5 |stride_size1
2 |2 |stride_size2
5 |5 |stride_size3
0 |0 |dropout0
0.3 |0.3 |dropout1
0.1 |0.1 |dropout2
0.4 |0.4 |dropout3
[2K
[2K
Trial 1 Complete [00h 00m 05s]
val_loss: 19.31045150756836
Best val_loss So Far: 19.31045150756836
Total elapsed time: 00h 00m 05s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
2 |4 |n_layers
256 |128 |filter_unit0
32 |64 |filter_unit1
3 |5 |kernel_size0
5 |4 |kernel_size1
2 |2 |pool_size0
3 |2 |pool_size1
1 |4 |stride_size0
5 |5 |stride_size1
0.3 |0 |dropout0
0 |0.3 |dropout1
[2K
[2K
Trial 2 Complete [00h 00m 03s]
val_loss: 20.457475662231445
Best val_loss So Far: 19.31045150756836
Total elapsed time: 00h 00m 09s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
3 |4 |n_layers
128 |128 |filter_unit0
128 |64 |filter_unit1
64 |32 |filter_unit2
5 |5 |kernel_size0
3 |4 |kernel_size1
1 |1 |kernel_size2
4 |2 |pool_size0
1 |2 |pool_size1
2 |4 |pool_size2
4 |4 |stride_size0
2 |5 |stride_size1
4 |2 |stride_size2
0.4 |0 |dropout0
0.1 |0.3 |dropout1
0.4 |0.1 |dropout2
[2K
[2K
Trial 3 Complete [00h 00m 05s]
val_loss: 20.91737174987793
Best val_loss So Far: 19.31045150756836
Total elapsed time: 00h 00m 14s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
4 |4 |n_layers
32 |128 |filter_unit0
128 |64 |filter_unit1
64 |32 |filter_unit2
256 |32 |filter_unit3
1 |5 |kernel_size0
3 |4 |kernel_size1
5 |1 |kernel_size2
1 |4 |kernel_size3
4 |2 |pool_size0
1 |2 |pool_size1
2 |4 |pool_size2
3 |2 |pool_size3
4 |4 |stride_size0
5 |5 |stride_size1
3 |2 |stride_size2
3 |5 |stride_size3
0.3 |0 |dropout0
0.3 |0.3 |dropout1
0.1 |0.1 |dropout2
0.2 |0.4 |dropout3
[2K
[2K
Trial 4 Complete [00h 00m 05s]
val_loss: 19.79937171936035
Best val_loss So Far: 19.31045150756836
Total elapsed time: 00h 00m 19s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
1 |4 |n_layers
32 |128 |filter_unit0
5 |5 |kernel_size0
5 |2 |pool_size0
4 |4 |stride_size0
0.1 |0 |dropout0
[2K
[2K
Trial 5 Complete [00h 00m 02s]
val_loss: 20.066181182861328
Best val_loss So Far: 19.31045150756836
Total elapsed time: 00h 00m 21s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
3 |4 |n_layers
64 |128 |filter_unit0
32 |64 |filter_unit1
32 |32 |filter_unit2
3 |5 |kernel_size0
2 |4 |kernel_size1
5 |1 |kernel_size2
4 |2 |pool_size0
4 |2 |pool_size1
2 |4 |pool_size2
1 |4 |stride_size0
5 |5 |stride_size1
1 |2 |stride_size2
0.4 |0 |dropout0
0 |0.3 |dropout1
0 |0.1 |dropout2
[2K
[2K
Trial 6 Complete [00h 00m 04s]
val_loss: 19.17190170288086
Best val_loss So Far: 19.17190170288086
Total elapsed time: 00h 00m 25s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
1 |3 |n_layers
32 |64 |filter_unit0
5 |3 |kernel_size0
2 |4 |pool_size0
3 |1 |stride_size0
0.2 |0.4 |dropout0
[2K
[2K
Trial 7 Complete [00h 00m 03s]
val_loss: 19.149559020996094
Best val_loss So Far: 19.149559020996094
Total elapsed time: 00h 00m 28s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
3 |1 |n_layers
128 |32 |filter_unit0
128 |None |filter_unit1
64 |None |filter_unit2
1 |5 |kernel_size0
2 |None |kernel_size1
3 |None |kernel_size2
1 |2 |pool_size0
2 |None |pool_size1
2 |None |pool_size2
2 |3 |stride_size0
5 |None |stride_size1
5 |None |stride_size2
0.3 |0.2 |dropout0
0.4 |None |dropout1
0.1 |None |dropout2
[2K
[2K
Trial 8 Complete [00h 00m 04s]
val_loss: 19.283323287963867
Best val_loss So Far: 19.149559020996094
Total elapsed time: 00h 00m 32s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
256 |32 |filter_unit0
64 |None |filter_unit1
5 |5 |kernel_size0
2 |None |kernel_size1
4 |2 |pool_size0
2 |None |pool_size1
5 |3 |stride_size0
3 |None |stride_size1
0 |0.2 |dropout0
0.3 |None |dropout1
[2K
[2K
Trial 9 Complete [00h 00m 03s]
val_loss: 19.655521392822266
Best val_loss So Far: 19.149559020996094
Total elapsed time: 00h 00m 35s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
2 |1 |n_layers
64 |32 |filter_unit0
128 |None |filter_unit1
3 |5 |kernel_size0
5 |None |kernel_size1
4 |2 |pool_size0
4 |None |pool_size1
3 |3 |stride_size0
3 |None |stride_size1
0 |0.2 |dropout0
0 |None |dropout1
[2K
[2K
Trial 10 Complete [00h 00m 03s]
val_loss: 18.57119369506836
Best val_loss So Far: 18.57119369506836
Total elapsed time: 00h 00m 38s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
4 |2 |n_layers
32 |64 |filter_unit0
32 |128 |filter_unit1
128 |None |filter_unit2
32 |None |filter_unit3
3 |3 |kernel_size0
3 |5 |kernel_size1
5 |None |kernel_size2
3 |None |kernel_size3
5 |4 |pool_size0
2 |4 |pool_size1
5 |None |pool_size2
3 |None |pool_size3
4 |3 |stride_size0
2 |3 |stride_size1
4 |None |stride_size2
2 |None |stride_size3
0 |0 |dropout0
0.2 |0 |dropout1
0.4 |None |dropout2
0.4 |None |dropout3
[2K
[2K
Trial 11 Complete [00h 00m 04s]
val_loss: 19.254566192626953
Best val_loss So Far: 18.57119369506836
Total elapsed time: 00h 00m 42s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
3 |2 |n_layers
32 |64 |filter_unit0
128 |128 |filter_unit1
128 |None |filter_unit2
5 |3 |kernel_size0
1 |5 |kernel_size1
3 |None |kernel_size2
3 |4 |pool_size0
5 |4 |pool_size1
4 |None |pool_size2
3 |3 |stride_size0
3 |3 |stride_size1
4 |None |stride_size2
0.1 |0 |dropout0
0.4 |0 |dropout1
0.3 |None |dropout2
[2K
[2K
Trial 12 Complete [00h 00m 03s]
val_loss: 20.250638961791992
Best val_loss So Far: 18.57119369506836
Total elapsed time: 00h 00m 45s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
5 |2 |n_layers
128 |64 |filter_unit0
128 |128 |filter_unit1
64 |None |filter_unit2
32 |None |filter_unit3
64 |None |filter_unit4
3 |3 |kernel_size0
2 |5 |kernel_size1
1 |None |kernel_size2
4 |None |kernel_size3
3 |None |kernel_size4
3 |4 |pool_size0
5 |4 |pool_size1
5 |None |pool_size2
5 |None |pool_size3
3 |None |pool_size4
5 |3 |stride_size0
2 |3 |stride_size1
2 |None |stride_size2
1 |None |stride_size3
5 |None |stride_size4
0 |0 |dropout0
0 |0 |dropout1
0.4 |None |dropout2
0.2 |None |dropout3
0.4 |None |dropout4
[2K
[2K
Trial 13 Complete [00h 00m 05s]
val_loss: 19.26824378967285
Best val_loss So Far: 18.57119369506836
Total elapsed time: 00h 00m 51s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
2 |2 |n_layers
128 |64 |filter_unit0
32 |128 |filter_unit1
3 |3 |kernel_size0
2 |5 |kernel_size1
4 |4 |pool_size0
4 |4 |pool_size1
3 |3 |stride_size0
3 |3 |stride_size1
0 |0 |dropout0
0.3 |0 |dropout1
[2K
[2K
Trial 14 Complete [00h 00m 04s]
val_loss: 20.111291885375977
Best val_loss So Far: 18.57119369506836
Total elapsed time: 00h 00m 55s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
2 |2 |n_layers
32 |64 |filter_unit0
128 |128 |filter_unit1
4 |3 |kernel_size0
2 |5 |kernel_size1
2 |4 |pool_size0
5 |4 |pool_size1
4 |3 |stride_size0
1 |3 |stride_size1
0 |0 |dropout0
0.3 |0 |dropout1
[2K
[2K
Trial 15 Complete [00h 00m 04s]
val_loss: 18.93747329711914
Best val_loss So Far: 18.57119369506836
Total elapsed time: 00h 00m 59s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
5 |2 |n_layers
256 |64 |filter_unit0
256 |128 |filter_unit1
32 |None |filter_unit2
128 |None |filter_unit3
32 |None |filter_unit4
3 |3 |kernel_size0
3 |5 |kernel_size1
4 |None |kernel_size2
2 |None |kernel_size3
3 |None |kernel_size4
2 |4 |pool_size0
2 |4 |pool_size1
1 |None |pool_size2
1 |None |pool_size3
1 |None |pool_size4
2 |3 |stride_size0
1 |3 |stride_size1
1 |None |stride_size2
5 |None |stride_size3
2 |None |stride_size4
0.2 |0 |dropout0
0.4 |0 |dropout1
0.3 |None |dropout2
0 |None |dropout3
0.4 |None |dropout4
[2K
[2K
Trial 16 Complete [00h 00m 05s]
val_loss: 19.776538848876953
Best val_loss So Far: 18.57119369506836
Total elapsed time: 00h 01m 04s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
4 |2 |n_layers
128 |64 |filter_unit0
32 |128 |filter_unit1
256 |None |filter_unit2
32 |None |filter_unit3
3 |3 |kernel_size0
1 |5 |kernel_size1
2 |None |kernel_size2
5 |None |kernel_size3
1 |4 |pool_size0
4 |4 |pool_size1
2 |None |pool_size2
4 |None |pool_size3
3 |3 |stride_size0
1 |3 |stride_size1
2 |None |stride_size2
3 |None |stride_size3
0.3 |0 |dropout0
0.4 |0 |dropout1
0.3 |None |dropout2
0.4 |None |dropout3
[2K
[2K
Trial 17 Complete [00h 00m 04s]
val_loss: 19.6254940032959
Best val_loss So Far: 18.57119369506836
Total elapsed time: 00h 01m 08s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
4 |2 |n_layers
32 |64 |filter_unit0
128 |128 |filter_unit1
256 |None |filter_unit2
256 |None |filter_unit3
2 |3 |kernel_size0
4 |5 |kernel_size1
2 |None |kernel_size2
5 |None |kernel_size3
1 |4 |pool_size0
1 |4 |pool_size1
3 |None |pool_size2
2 |None |pool_size3
3 |3 |stride_size0
5 |3 |stride_size1
1 |None |stride_size2
5 |None |stride_size3
0.3 |0 |dropout0
0.2 |0 |dropout1
0 |None |dropout2
0.1 |None |dropout3
[2K
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0112s vs `on_train_batch_end` time: 0.0121s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0112s vs `on_train_batch_end` time: 0.0121s). Check your callbacks.
[2K
Trial 18 Complete [00h 00m 05s]
val_loss: 18.75307846069336
Best val_loss So Far: 18.57119369506836
Total elapsed time: 00h 01m 13s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
2 |2 |n_layers
256 |64 |filter_unit0
256 |128 |filter_unit1
5 |3 |kernel_size0
2 |5 |kernel_size1
1 |4 |pool_size0
2 |4 |pool_size1
2 |3 |stride_size0
1 |3 |stride_size1
0.1 |0 |dropout0
0.3 |0 |dropout1
[2K
[2K
Trial 19 Complete [00h 00m 03s]
val_loss: 19.81642723083496
Best val_loss So Far: 18.57119369506836
Total elapsed time: 00h 01m 17s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
2 |2 |n_layers
32 |64 |filter_unit0
64 |128 |filter_unit1
4 |3 |kernel_size0
2 |5 |kernel_size1
5 |4 |pool_size0
5 |4 |pool_size1
1 |3 |stride_size0
5 |3 |stride_size1
0.4 |0 |dropout0
0 |0 |dropout1
[2K
[2K
Trial 20 Complete [00h 00m 03s]
val_loss: 20.98583221435547
Best val_loss So Far: 18.57119369506836
Total elapsed time: 00h 01m 20s
{'n_layers': 2, 'filter_unit0': 64, 'filter_unit1': 128, 'kernel_size0': 3, 'kernel_size1': 5, 'pool_size0': 4, 'pool_size1': 4, 'stride_size0': 3, 'stride_size1': 3, 'dropout0': 0.0, 'dropout1': 0.0}
Epoch 1/200
1/4 [======>.......................] - ETA: 4s - loss: 8.2921
4/4 [==============================] - ETA: 0s - loss: 7.9048WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 2s 21ms/step - loss: 7.9048 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 6.1513WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 6.8231 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 6.4171WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 5.9385 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 5.9422WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 5.3409 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2350WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 4.8524 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8770WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 4.4022 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2444WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 4.0576 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2208WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 3.7717 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9643WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 3.3638 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4224WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 3.2266 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3987WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.9919 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2423WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.8041 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2392WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 2.6602 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7911WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.5463 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7295WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.3920 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1571WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.2345 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4250WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.0916 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0842WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 2.0428 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0016WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.8457 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9971WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.7861 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 1.7072WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.7005 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6007WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.5872 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 1.6410WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.5217 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2441WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.4522 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 1.3998WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 1.4995 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9064WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.3586 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 1.5614WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.2366 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9569WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.2129 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9807WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.1734 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0062WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.0940 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 0.8607WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.9700 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 1.2765WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 1.1650 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 0.7334WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.9705 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 0.9851WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.9823 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 1.0010WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.8364 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 0.4509WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.7379 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 0.5161WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.7981 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 1.1188WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.7452 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 0.4918WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.7419 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 0.6365WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.9095 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 0.4854WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.7238 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 0.6619WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.8072 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 0.5384WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.6925 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 0.4306WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.6839 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 0.6187WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.6214 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 0.4995WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.5510 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 0.4004WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.5893 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 0.4170WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.5092 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 0.6718WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.4591 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 0.2902WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.5236 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 0.4235WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.5119 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 0.3907WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.5849 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 0.7638WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.5317 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 0.3072WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.3739 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 0.3995WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.4515 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 0.3715WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.3659 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 0.1996WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.3591 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 0.2032WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.3405 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 0.3465WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.3875 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 0.4199WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.4259 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 0.2584WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.4026 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 0.3240WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.3457 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 0.2927WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.3476 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 0.2989WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.2422 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 0.2501WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.2543 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 0.2470WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.3111 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 0.3665WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.4302 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 0.4293WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.4134 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 0.3242WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.2783 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 0.2795WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.2915 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 0.2516WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.3134 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 0.2854WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.2833 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 0.6428WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.4098 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 0.4750WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.3825 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 0.2502WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.4022 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 0.2068WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.2192 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 0.6039WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.5073 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 0.2983WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.3656 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 0.6573WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.5361 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 0.2667WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.3436 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 0.1814WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.4342 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 0.2295WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.3308 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 0.2317WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.3042 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 0.4896WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.4288 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 0.4103WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 17ms/step - loss: 0.5604 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 0.2966WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.3805 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 0.2087WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.2315 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 0.2391WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.2595 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 0.3014WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.2987 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 0.3508WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.3581 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 0.2658WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.2829 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 0.2504WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.3007 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 0.3128WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.3243 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 0.2867WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.3271 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 0.2192WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.3856 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 0.3108WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.3051 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 0.5325WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.3800 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 0.2590WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.2591 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 0.2426WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.3305 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 0.2158WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.2315 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 0.1821WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.2944 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 0.2390WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.3281 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 0.1910WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.2222 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 0.3260WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.2802 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 0.2514WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.2686 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 0.1350WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.2455 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 0.2553WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.2924 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 0.1782WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.1954 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 0.2035WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.2220 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 0.4040WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.2934 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 0.1564WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.2113 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 0.2715WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.2225 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 0.1703WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.2020 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 0.1568WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.1943 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 0.1352WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.1665 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 0.2681WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.2132 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 0.1211WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.2152 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 0.1303WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.1760 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 0.1534WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.1627 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 0.1848WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.1449 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 0.0984WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.1844 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 0.2086WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.1794 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 0.3023WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.2800 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 0.1075WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.2361 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 0.1256WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.2489 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 0.2467WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.3007 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 0.1937WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.1764 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 0.1478WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.1421 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 0.3273WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.2020 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 0.1444WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.1734 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 0.1195WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.1591 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 0.1775WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.1507 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 0.2008WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.2080 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 0.2822WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.2747 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 0.1435WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.1591 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 0.1579WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.1888 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 0.0974WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.1487 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 0.1067WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.1771 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 0.1684WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.1966 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 0.2605WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.2111 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 0.1077WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 8ms/step - loss: 0.1809 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 0.1312WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.1704 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 0.0955WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.1508 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 0.0866WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.1344 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 0.1159WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.1264 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 0.2039WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.1779 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 0.2401WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.2347 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 0.1541WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.1514 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 0.0998WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.1248 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 0.3306WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.2492 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 0.3365WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.3031 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 0.1948WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.2966 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 0.2903WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.2193 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 0.3542WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.3776 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 0.4076WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.2564 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 0.2191WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.2679 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 0.0824WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.2148 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 0.0938WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.1776 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 0.2280WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.2934 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 0.1493WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.1345 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 0.1557WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.1615 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 0.0983WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.1314 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 0.0904WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.1092 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 0.0977WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.1229 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 0.1674WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.2066 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 0.0952WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.1794 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 0.2218WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.2107 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 0.1691WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.1718 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 0.1468WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.1682 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 0.1139WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.2022 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 0.1995WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.2194 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 0.2630WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.1971 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 0.1469WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.1453 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 0.1233WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.1241 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 0.1582WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.1841 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 0.2721WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.1955 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 0.2466WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.2020 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 0.2132WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.1961 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 0.0738WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.1330 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 0.3952WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.2858 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 0.1838WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.1919 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 0.1272WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.1193 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 0.1821WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.1666 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 0.1345WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.2327 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 0.3231WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.4260 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 0.1190WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.1482 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 0.3657WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.2409 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 0.1796WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.1490 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 0.1177WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.1473 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 0.2260WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.1596 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 0.1517WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.1411 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 0.1249WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.1809 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 0.1898WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.2263 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 0.4064WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.2578 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 0.2627WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.1716 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 0.1964WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.1466 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 0.2281WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.1711 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 0.0988WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.1431 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 0.1510WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.1283 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 0.4909WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 7ms/step - loss: 0.2793 - lr: 4.5400e-09
{'n_layers': 2, 'filter_unit0': 64, 'filter_unit1': 128, 'kernel_size0': 3, 'kernel_size1': 5, 'pool_size0': 4, 'pool_size1': 4, 'stride_size0': 3, 'stride_size1': 3, 'dropout0': 0.0, 'dropout1': 0.0}
1/39 [..............................] - ETA: 7s
21/39 [===============>..............] - ETA: 0s
39/39 [==============================] - ETA: 0s
39/39 [==============================] - 0s 3ms/step
WARNING:tensorflow:Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.13
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.13
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.14
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.14
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.15
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.15
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.16
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.16
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.17
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.17
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.18
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.18
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.19
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.19
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.20
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.20
adding new entry
subject config_id mdl_str ... r2 pearsonr_coeff pearsonr_pval
0 Pilot02 0 linreg ... -9.864563 0.038776 0.364940
1 Pilot02 0 linreg ... -11.875765 0.070097 0.101171
2 Pilot02 0 linreg ... -11.069278 0.047023 0.271822
3 Pilot02 0 linreg ... -25.345517 0.016892 0.693177
4 Pilot02 0 linreg ... -15.299470 0.118749 0.005380
.. ... ... ... ... ... ... ...
478 Pilot02 1 cnn1d ... -1.008970 -0.015068 0.595148
479 Pilot03 1 cnn1d ... -5.057236 -0.069644 0.029419
480 Pilot03 1 cnn1d ... -0.531484 -0.093171 0.003542
481 Pilot02 1 cnn1d ... -8.579331 -0.017832 0.529434
482 Pilot02 1 cnn1d ... -1.102534 -0.050187 0.076579
[483 rows x 18 columns]
imu-bvp_rr_Pilot02_id1_combi10.0-12.0-15.0-17.0-20.0
train
(35920, 11)
test
(364536, 10)
---CNN1D---
input shape: (1440, 7)
x shape: (120, 1440, 7)
Search: Running Trial #1
Value |Best Value So Far |Hyperparameter
2 |2 |n_layers
64 |64 |filter_unit0
32 |32 |filter_unit1
3 |3 |kernel_size0
4 |4 |kernel_size1
1 |1 |pool_size0
5 |5 |pool_size1
4 |4 |stride_size0
3 |3 |stride_size1
0.3 |0.3 |dropout0
0.4 |0.4 |dropout1
[2K
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0058s vs `on_train_batch_end` time: 0.0134s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0058s vs `on_train_batch_end` time: 0.0134s). Check your callbacks.
[2K
Trial 1 Complete [00h 00m 03s]
val_loss: 18.16773796081543
Best val_loss So Far: 18.16773796081543
Total elapsed time: 00h 00m 03s
Search: Running Trial #2
Value |Best Value So Far |Hyperparameter
5 |2 |n_layers
128 |64 |filter_unit0
64 |32 |filter_unit1
32 |None |filter_unit2
64 |None |filter_unit3
256 |None |filter_unit4
5 |3 |kernel_size0
4 |4 |kernel_size1
1 |None |kernel_size2
2 |None |kernel_size3
5 |None |kernel_size4
4 |1 |pool_size0
3 |5 |pool_size1
1 |None |pool_size2
5 |None |pool_size3
4 |None |pool_size4
1 |4 |stride_size0
2 |3 |stride_size1
1 |None |stride_size2
4 |None |stride_size3
4 |None |stride_size4
0.1 |0.3 |dropout0
0.2 |0.4 |dropout1
0.3 |None |dropout2
0 |None |dropout3
0.4 |None |dropout4
[2K
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0058s vs `on_train_batch_end` time: 0.0191s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0058s vs `on_train_batch_end` time: 0.0191s). Check your callbacks.
[2K
Trial 2 Complete [00h 00m 06s]
val_loss: 19.09092140197754
Best val_loss So Far: 18.16773796081543
Total elapsed time: 00h 00m 09s
Search: Running Trial #3
Value |Best Value So Far |Hyperparameter
4 |2 |n_layers
128 |64 |filter_unit0
256 |32 |filter_unit1
256 |None |filter_unit2
32 |None |filter_unit3
4 |3 |kernel_size0
2 |4 |kernel_size1
3 |None |kernel_size2
3 |None |kernel_size3
1 |1 |pool_size0
3 |5 |pool_size1
4 |None |pool_size2
4 |None |pool_size3
2 |4 |stride_size0
1 |3 |stride_size1
5 |None |stride_size2
1 |None |stride_size3
0 |0.3 |dropout0
0.3 |0.4 |dropout1
0.4 |None |dropout2
0 |None |dropout3
[2K
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0039s vs `on_train_batch_end` time: 0.0167s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0039s vs `on_train_batch_end` time: 0.0167s). Check your callbacks.
[2K
Trial 3 Complete [00h 00m 06s]
val_loss: 18.336790084838867
Best val_loss So Far: 18.16773796081543
Total elapsed time: 00h 00m 15s
Search: Running Trial #4
Value |Best Value So Far |Hyperparameter
3 |2 |n_layers
128 |64 |filter_unit0
256 |32 |filter_unit1
128 |None |filter_unit2
2 |3 |kernel_size0
5 |4 |kernel_size1
1 |None |kernel_size2
2 |1 |pool_size0
4 |5 |pool_size1
4 |None |pool_size2
2 |4 |stride_size0
1 |3 |stride_size1
3 |None |stride_size2
0.2 |0.3 |dropout0
0.3 |0.4 |dropout1
0.3 |None |dropout2
[2K
[2K
Trial 4 Complete [00h 00m 05s]
val_loss: 19.342039108276367
Best val_loss So Far: 18.16773796081543
Total elapsed time: 00h 00m 20s
Search: Running Trial #5
Value |Best Value So Far |Hyperparameter
4 |2 |n_layers
64 |64 |filter_unit0
64 |32 |filter_unit1
128 |None |filter_unit2
32 |None |filter_unit3
2 |3 |kernel_size0
4 |4 |kernel_size1
1 |None |kernel_size2
4 |None |kernel_size3
4 |1 |pool_size0
4 |5 |pool_size1
3 |None |pool_size2
2 |None |pool_size3
3 |4 |stride_size0
4 |3 |stride_size1
3 |None |stride_size2
3 |None |stride_size3
0 |0.3 |dropout0
0 |0.4 |dropout1
0.2 |None |dropout2
0 |None |dropout3
[2K
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0049s vs `on_train_batch_end` time: 0.0091s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0049s vs `on_train_batch_end` time: 0.0091s). Check your callbacks.
[2K
Trial 5 Complete [00h 00m 05s]
val_loss: 19.802471160888672
Best val_loss So Far: 18.16773796081543
Total elapsed time: 00h 00m 25s
Search: Running Trial #6
Value |Best Value So Far |Hyperparameter
4 |2 |n_layers
128 |64 |filter_unit0
32 |32 |filter_unit1
128 |None |filter_unit2
32 |None |filter_unit3
5 |3 |kernel_size0
3 |4 |kernel_size1
3 |None |kernel_size2
4 |None |kernel_size3
4 |1 |pool_size0
1 |5 |pool_size1
1 |None |pool_size2
5 |None |pool_size3
1 |4 |stride_size0
3 |3 |stride_size1
3 |None |stride_size2
3 |None |stride_size3
0.1 |0.3 |dropout0
0 |0.4 |dropout1
0.1 |None |dropout2
0 |None |dropout3
[2K
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0038s vs `on_train_batch_end` time: 0.0225s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0038s vs `on_train_batch_end` time: 0.0225s). Check your callbacks.
[2K
Trial 6 Complete [00h 00m 05s]
val_loss: 19.91840171813965
Best val_loss So Far: 18.16773796081543
Total elapsed time: 00h 00m 29s
Search: Running Trial #7
Value |Best Value So Far |Hyperparameter
3 |2 |n_layers
128 |64 |filter_unit0
256 |32 |filter_unit1
32 |None |filter_unit2
3 |3 |kernel_size0
1 |4 |kernel_size1
3 |None |kernel_size2
2 |1 |pool_size0
4 |5 |pool_size1
3 |None |pool_size2
1 |4 |stride_size0
1 |3 |stride_size1
2 |None |stride_size2
0.3 |0.3 |dropout0
0.1 |0.4 |dropout1
0.2 |None |dropout2
[2K
[2K
Trial 7 Complete [00h 00m 04s]
val_loss: 19.8938045501709
Best val_loss So Far: 18.16773796081543
Total elapsed time: 00h 00m 33s
Search: Running Trial #8
Value |Best Value So Far |Hyperparameter
4 |2 |n_layers
32 |64 |filter_unit0
32 |32 |filter_unit1
64 |None |filter_unit2
32 |None |filter_unit3
4 |3 |kernel_size0
1 |4 |kernel_size1
1 |None |kernel_size2
1 |None |kernel_size3
2 |1 |pool_size0
4 |5 |pool_size1
3 |None |pool_size2
2 |None |pool_size3
1 |4 |stride_size0
3 |3 |stride_size1
3 |None |stride_size2
1 |None |stride_size3
0.3 |0.3 |dropout0
0.3 |0.4 |dropout1
0.4 |None |dropout2
0 |None |dropout3
[2K
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0057s vs `on_train_batch_end` time: 0.0100s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0057s vs `on_train_batch_end` time: 0.0100s). Check your callbacks.
[2K
Trial 8 Complete [00h 00m 04s]
val_loss: 19.563058853149414
Best val_loss So Far: 18.16773796081543
Total elapsed time: 00h 00m 38s
Search: Running Trial #9
Value |Best Value So Far |Hyperparameter
5 |2 |n_layers
256 |64 |filter_unit0
64 |32 |filter_unit1
32 |None |filter_unit2
64 |None |filter_unit3
32 |None |filter_unit4
1 |3 |kernel_size0
3 |4 |kernel_size1
3 |None |kernel_size2
2 |None |kernel_size3
4 |None |kernel_size4
4 |1 |pool_size0
3 |5 |pool_size1
1 |None |pool_size2
3 |None |pool_size3
4 |None |pool_size4
3 |4 |stride_size0
3 |3 |stride_size1
1 |None |stride_size2
3 |None |stride_size3
5 |None |stride_size4
0.1 |0.3 |dropout0
0.1 |0.4 |dropout1
0.4 |None |dropout2
0.4 |None |dropout3
0.2 |None |dropout4
[2K
[2K
Trial 9 Complete [00h 00m 06s]
val_loss: 19.56657600402832
Best val_loss So Far: 18.16773796081543
Total elapsed time: 00h 00m 44s
Search: Running Trial #10
Value |Best Value So Far |Hyperparameter
1 |2 |n_layers
32 |64 |filter_unit0
2 |3 |kernel_size0
5 |1 |pool_size0
3 |4 |stride_size0
0.2 |0.3 |dropout0
[2K
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0057s vs `on_train_batch_end` time: 0.0113s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0057s vs `on_train_batch_end` time: 0.0113s). Check your callbacks.
[2K
Trial 10 Complete [00h 00m 03s]
val_loss: 19.39495849609375
Best val_loss So Far: 18.16773796081543
Total elapsed time: 00h 00m 47s
Search: Running Trial #11
Value |Best Value So Far |Hyperparameter
5 |2 |n_layers
256 |64 |filter_unit0
256 |32 |filter_unit1
128 |None |filter_unit2
128 |None |filter_unit3
128 |None |filter_unit4
1 |3 |kernel_size0
1 |4 |kernel_size1
1 |None |kernel_size2
5 |None |kernel_size3
1 |None |kernel_size4
1 |1 |pool_size0
5 |5 |pool_size1
4 |None |pool_size2
2 |None |pool_size3
1 |None |pool_size4
5 |4 |stride_size0
5 |3 |stride_size1
1 |None |stride_size2
4 |None |stride_size3
4 |None |stride_size4
0.2 |0.3 |dropout0
0 |0.4 |dropout1
0.1 |None |dropout2
0.4 |None |dropout3
0.1 |None |dropout4
[2K
[2K
Trial 11 Complete [00h 00m 06s]
val_loss: 19.599241256713867
Best val_loss So Far: 18.16773796081543
Total elapsed time: 00h 00m 53s
Search: Running Trial #12
Value |Best Value So Far |Hyperparameter
3 |2 |n_layers
32 |64 |filter_unit0
32 |32 |filter_unit1
128 |None |filter_unit2
5 |3 |kernel_size0
2 |4 |kernel_size1
4 |None |kernel_size2
1 |1 |pool_size0
3 |5 |pool_size1
1 |None |pool_size2
5 |4 |stride_size0
4 |3 |stride_size1
4 |None |stride_size2
0.2 |0.3 |dropout0
0.2 |0.4 |dropout1
0.2 |None |dropout2
[2K
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0058s vs `on_train_batch_end` time: 0.0158s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0058s vs `on_train_batch_end` time: 0.0158s). Check your callbacks.
[2K
Trial 12 Complete [00h 00m 04s]
val_loss: 19.882234573364258
Best val_loss So Far: 18.16773796081543
Total elapsed time: 00h 00m 57s
Search: Running Trial #13
Value |Best Value So Far |Hyperparameter
5 |2 |n_layers
128 |64 |filter_unit0
32 |32 |filter_unit1
64 |None |filter_unit2
256 |None |filter_unit3
64 |None |filter_unit4
4 |3 |kernel_size0
1 |4 |kernel_size1
3 |None |kernel_size2
3 |None |kernel_size3
3 |None |kernel_size4
3 |1 |pool_size0
4 |5 |pool_size1
4 |None |pool_size2
1 |None |pool_size3
4 |None |pool_size4
1 |4 |stride_size0
1 |3 |stride_size1
2 |None |stride_size2
5 |None |stride_size3
4 |None |stride_size4
0.2 |0.3 |dropout0
0.4 |0.4 |dropout1
0.3 |None |dropout2
0.2 |None |dropout3
0.3 |None |dropout4
[2K
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0042s vs `on_train_batch_end` time: 0.0123s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0042s vs `on_train_batch_end` time: 0.0123s). Check your callbacks.
[2K
Trial 13 Complete [00h 00m 05s]
val_loss: 19.923654556274414
Best val_loss So Far: 18.16773796081543
Total elapsed time: 00h 01m 02s
Search: Running Trial #14
Value |Best Value So Far |Hyperparameter
4 |2 |n_layers
128 |64 |filter_unit0
256 |32 |filter_unit1
256 |None |filter_unit2
32 |None |filter_unit3
2 |3 |kernel_size0
2 |4 |kernel_size1
1 |None |kernel_size2
1 |None |kernel_size3
2 |1 |pool_size0
5 |5 |pool_size1
1 |None |pool_size2
4 |None |pool_size3
2 |4 |stride_size0
3 |3 |stride_size1
4 |None |stride_size2
2 |None |stride_size3
0.4 |0.3 |dropout0
0 |0.4 |dropout1
0.4 |None |dropout2
0.2 |None |dropout3
[2K
[2K
Trial 14 Complete [00h 00m 04s]
val_loss: 19.684850692749023
Best val_loss So Far: 18.16773796081543
Total elapsed time: 00h 01m 07s
Search: Running Trial #15
Value |Best Value So Far |Hyperparameter
5 |2 |n_layers
128 |64 |filter_unit0
32 |32 |filter_unit1
128 |None |filter_unit2
32 |None |filter_unit3
256 |None |filter_unit4
3 |3 |kernel_size0
2 |4 |kernel_size1
5 |None |kernel_size2
5 |None |kernel_size3
3 |None |kernel_size4
1 |1 |pool_size0
3 |5 |pool_size1
2 |None |pool_size2
5 |None |pool_size3
2 |None |pool_size4
3 |4 |stride_size0
5 |3 |stride_size1
4 |None |stride_size2
2 |None |stride_size3
4 |None |stride_size4
0.1 |0.3 |dropout0
0.4 |0.4 |dropout1
0.4 |None |dropout2
0.2 |None |dropout3
0 |None |dropout4
[2K
[2K
Trial 15 Complete [00h 00m 06s]
val_loss: 19.608327865600586
Best val_loss So Far: 18.16773796081543
Total elapsed time: 00h 01m 12s
Search: Running Trial #16
Value |Best Value So Far |Hyperparameter
5 |2 |n_layers
128 |64 |filter_unit0
128 |32 |filter_unit1
256 |None |filter_unit2
256 |None |filter_unit3
64 |None |filter_unit4
3 |3 |kernel_size0
3 |4 |kernel_size1
2 |None |kernel_size2
1 |None |kernel_size3
2 |None |kernel_size4
1 |1 |pool_size0
3 |5 |pool_size1
4 |None |pool_size2
4 |None |pool_size3
3 |None |pool_size4
5 |4 |stride_size0
4 |3 |stride_size1
5 |None |stride_size2
4 |None |stride_size3
5 |None |stride_size4
0.1 |0.3 |dropout0
0 |0.4 |dropout1
0.2 |None |dropout2
0.4 |None |dropout3
0 |None |dropout4
[2K
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0041s vs `on_train_batch_end` time: 0.0043s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0041s vs `on_train_batch_end` time: 0.0043s). Check your callbacks.
[2K
Trial 16 Complete [00h 00m 05s]
val_loss: 19.549652099609375
Best val_loss So Far: 18.16773796081543
Total elapsed time: 00h 01m 17s
Search: Running Trial #17
Value |Best Value So Far |Hyperparameter
3 |2 |n_layers
64 |64 |filter_unit0
64 |32 |filter_unit1
64 |None |filter_unit2
2 |3 |kernel_size0
4 |4 |kernel_size1
4 |None |kernel_size2
2 |1 |pool_size0
4 |5 |pool_size1
5 |None |pool_size2
2 |4 |stride_size0
2 |3 |stride_size1
3 |None |stride_size2
0.1 |0.3 |dropout0
0.2 |0.4 |dropout1
0.1 |None |dropout2
[2K
[2K
Trial 17 Complete [00h 00m 04s]
val_loss: 20.628541946411133
Best val_loss So Far: 18.16773796081543
Total elapsed time: 00h 01m 21s
Search: Running Trial #18
Value |Best Value So Far |Hyperparameter
1 |2 |n_layers
64 |64 |filter_unit0
4 |3 |kernel_size0
2 |1 |pool_size0
5 |4 |stride_size0
0 |0.3 |dropout0
[2K
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0065s vs `on_train_batch_end` time: 0.0081s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0065s vs `on_train_batch_end` time: 0.0081s). Check your callbacks.
[2K
Trial 18 Complete [00h 00m 03s]
val_loss: 19.634645462036133
Best val_loss So Far: 18.16773796081543
Total elapsed time: 00h 01m 24s
Search: Running Trial #19
Value |Best Value So Far |Hyperparameter
5 |2 |n_layers
128 |64 |filter_unit0
128 |32 |filter_unit1
32 |None |filter_unit2
256 |None |filter_unit3
128 |None |filter_unit4
4 |3 |kernel_size0
4 |4 |kernel_size1
2 |None |kernel_size2
3 |None |kernel_size3
5 |None |kernel_size4
5 |1 |pool_size0
4 |5 |pool_size1
1 |None |pool_size2
3 |None |pool_size3
2 |None |pool_size4
2 |4 |stride_size0
3 |3 |stride_size1
3 |None |stride_size2
3 |None |stride_size3
2 |None |stride_size4
0 |0.3 |dropout0
0.1 |0.4 |dropout1
0 |None |dropout2
0.2 |None |dropout3
0.3 |None |dropout4
[2K
WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0038s vs `on_train_batch_end` time: 0.0053s). Check your callbacks.
Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0038s vs `on_train_batch_end` time: 0.0053s). Check your callbacks.
[2K
Trial 19 Complete [00h 00m 06s]
val_loss: 19.16533088684082
Best val_loss So Far: 18.16773796081543
Total elapsed time: 00h 01m 29s
Search: Running Trial #20
Value |Best Value So Far |Hyperparameter
3 |2 |n_layers
128 |64 |filter_unit0
64 |32 |filter_unit1
64 |None |filter_unit2
2 |3 |kernel_size0
5 |4 |kernel_size1
3 |None |kernel_size2
4 |1 |pool_size0
2 |5 |pool_size1
4 |None |pool_size2
4 |4 |stride_size0
2 |3 |stride_size1
5 |None |stride_size2
0.1 |0.3 |dropout0
0.4 |0.4 |dropout1
0 |None |dropout2
[2K
[2K
Trial 20 Complete [00h 00m 04s]
val_loss: 19.241846084594727
Best val_loss So Far: 18.16773796081543
Total elapsed time: 00h 01m 34s
{'n_layers': 2, 'filter_unit0': 64, 'filter_unit1': 32, 'kernel_size0': 3, 'kernel_size1': 4, 'pool_size0': 1, 'pool_size1': 5, 'stride_size0': 4, 'stride_size1': 3, 'dropout0': 0.30000000000000004, 'dropout1': 0.4}
Epoch 1/200
1/4 [======>.......................] - ETA: 4s - loss: 8.5117WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 2s 14ms/step - loss: 8.4558 - lr: 1.0000e-04
Epoch 2/200
1/4 [======>.......................] - ETA: 0s - loss: 7.8358WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 8.3709 - lr: 1.0000e-04
Epoch 3/200
1/4 [======>.......................] - ETA: 0s - loss: 7.8835WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 8.0346 - lr: 1.0000e-04
Epoch 4/200
1/4 [======>.......................] - ETA: 0s - loss: 7.6810WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 7.6298 - lr: 1.0000e-04
Epoch 5/200
1/4 [======>.......................] - ETA: 0s - loss: 6.7483WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 7.6333 - lr: 1.0000e-04
Epoch 6/200
1/4 [======>.......................] - ETA: 0s - loss: 7.3511WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 7.1463 - lr: 1.0000e-04
Epoch 7/200
1/4 [======>.......................] - ETA: 0s - loss: 7.6199WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 7.2927 - lr: 1.0000e-04
Epoch 8/200
1/4 [======>.......................] - ETA: 0s - loss: 7.0365WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 7.0339 - lr: 1.0000e-04
Epoch 9/200
1/4 [======>.......................] - ETA: 0s - loss: 7.2685WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 6.7294 - lr: 1.0000e-04
Epoch 10/200
1/4 [======>.......................] - ETA: 0s - loss: 6.0785WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 6.4519 - lr: 1.0000e-04
Epoch 11/200
1/4 [======>.......................] - ETA: 0s - loss: 6.8035WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 6.0854 - lr: 1.0000e-04
Epoch 12/200
1/4 [======>.......................] - ETA: 0s - loss: 6.3901WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 6.0470 - lr: 1.0000e-04
Epoch 13/200
1/4 [======>.......................] - ETA: 0s - loss: 6.9840WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 6.1483 - lr: 1.0000e-04
Epoch 14/200
1/4 [======>.......................] - ETA: 0s - loss: 5.9010WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 5.6621 - lr: 1.0000e-04
Epoch 15/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4414WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 5.5174 - lr: 1.0000e-04
Epoch 16/200
1/4 [======>.......................] - ETA: 0s - loss: 5.8675WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 5.5089 - lr: 1.0000e-04
Epoch 17/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9975WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 5.2000 - lr: 1.0000e-04
Epoch 18/200
1/4 [======>.......................] - ETA: 0s - loss: 5.3433WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 5.2660 - lr: 1.0000e-04
Epoch 19/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9305WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.9375 - lr: 1.0000e-04
Epoch 20/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2281WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.9788 - lr: 1.0000e-04
Epoch 21/200
1/4 [======>.......................] - ETA: 0s - loss: 5.2061WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.9500 - lr: 1.0000e-04
Epoch 22/200
1/4 [======>.......................] - ETA: 0s - loss: 4.8355WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.6314 - lr: 1.0000e-04
Epoch 23/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3355WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.9685 - lr: 1.0000e-04
Epoch 24/200
1/4 [======>.......................] - ETA: 0s - loss: 5.4543WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.4641 - lr: 1.0000e-04
Epoch 25/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3610WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.7201 - lr: 1.0000e-04
Epoch 26/200
1/4 [======>.......................] - ETA: 0s - loss: 4.4718WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.3423 - lr: 1.0000e-04
Epoch 27/200
1/4 [======>.......................] - ETA: 0s - loss: 4.1545WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.7807 - lr: 1.0000e-04
Epoch 28/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7091WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.4508 - lr: 1.0000e-04
Epoch 29/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3530WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.0335 - lr: 1.0000e-04
Epoch 30/200
1/4 [======>.......................] - ETA: 0s - loss: 4.7622WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.5599 - lr: 1.0000e-04
Epoch 31/200
1/4 [======>.......................] - ETA: 0s - loss: 5.1381WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.1458 - lr: 1.0000e-04
Epoch 32/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9001WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.5372 - lr: 1.0000e-04
Epoch 33/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8323WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.9821 - lr: 1.0000e-04
Epoch 34/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5285WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.7931 - lr: 1.0000e-04
Epoch 35/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2587WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.0036 - lr: 1.0000e-04
Epoch 36/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5024WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.0548 - lr: 1.0000e-04
Epoch 37/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5713WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.8447 - lr: 1.0000e-04
Epoch 38/200
1/4 [======>.......................] - ETA: 0s - loss: 3.9981WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.1200 - lr: 1.0000e-04
Epoch 39/200
1/4 [======>.......................] - ETA: 0s - loss: 4.5540WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.1385 - lr: 1.0000e-04
Epoch 40/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3143WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.5678 - lr: 1.0000e-04
Epoch 41/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4955WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.5476 - lr: 1.0000e-04
Epoch 42/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7317WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.4992 - lr: 1.0000e-04
Epoch 43/200
1/4 [======>.......................] - ETA: 0s - loss: 4.9622WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 4.0290 - lr: 1.0000e-04
Epoch 44/200
1/4 [======>.......................] - ETA: 0s - loss: 4.0878WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.8250 - lr: 1.0000e-04
Epoch 45/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7667WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.6879 - lr: 1.0000e-04
Epoch 46/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7956WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.3903 - lr: 1.0000e-04
Epoch 47/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1516WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.4702 - lr: 1.0000e-04
Epoch 48/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6493WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.5532 - lr: 1.0000e-04
Epoch 49/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8836WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.4658 - lr: 1.0000e-04
Epoch 50/200
1/4 [======>.......................] - ETA: 0s - loss: 3.6626WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.3896 - lr: 1.0000e-04
Epoch 51/200
1/4 [======>.......................] - ETA: 0s - loss: 4.3425WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.5485 - lr: 1.0000e-04
Epoch 52/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1172WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0590 - lr: 1.0000e-04
Epoch 53/200
1/4 [======>.......................] - ETA: 0s - loss: 4.2739WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.9794 - lr: 1.0000e-04
Epoch 54/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4300WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.3954 - lr: 1.0000e-04
Epoch 55/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8898WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.4031 - lr: 1.0000e-04
Epoch 56/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8358WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.5684 - lr: 1.0000e-04
Epoch 57/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0982WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.4594 - lr: 1.0000e-04
Epoch 58/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9016WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2668 - lr: 1.0000e-04
Epoch 59/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1906WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.5332 - lr: 1.0000e-04
Epoch 60/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7897WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1066 - lr: 1.0000e-04
Epoch 61/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2836WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.4019 - lr: 1.0000e-04
Epoch 62/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0603WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.4477 - lr: 1.0000e-04
Epoch 63/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9238WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.5699 - lr: 1.0000e-04
Epoch 64/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1765WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2902 - lr: 1.0000e-04
Epoch 65/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1223WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1366 - lr: 1.0000e-04
Epoch 66/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9231WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.3234 - lr: 1.0000e-04
Epoch 67/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9009WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0496 - lr: 1.0000e-04
Epoch 68/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2966WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.3449 - lr: 1.0000e-04
Epoch 69/200
1/4 [======>.......................] - ETA: 0s - loss: 3.8961WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0994 - lr: 1.0000e-04
Epoch 70/200
1/4 [======>.......................] - ETA: 0s - loss: 3.7939WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2484 - lr: 1.0000e-04
Epoch 71/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7913WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.9627 - lr: 1.0000e-04
Epoch 72/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9713WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0126 - lr: 1.0000e-04
Epoch 73/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7671WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.6370 - lr: 1.0000e-04
Epoch 74/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2408WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1081 - lr: 1.0000e-04
Epoch 75/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9419WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0606 - lr: 1.0000e-04
Epoch 76/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7708WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.2757 - lr: 1.0000e-04
Epoch 77/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0136WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0403 - lr: 1.0000e-04
Epoch 78/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9762WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0726 - lr: 1.0000e-04
Epoch 79/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8038WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.8760 - lr: 1.0000e-04
Epoch 80/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7621WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.7596 - lr: 1.0000e-04
Epoch 81/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3682WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.7632 - lr: 1.0000e-04
Epoch 82/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1675WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.7931 - lr: 1.0000e-04
Epoch 83/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5226WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1420 - lr: 1.0000e-04
Epoch 84/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0036WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.6943 - lr: 1.0000e-04
Epoch 85/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8992WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.1320 - lr: 1.0000e-04
Epoch 86/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8825WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5855 - lr: 1.0000e-04
Epoch 87/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6213WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.8547 - lr: 1.0000e-04
Epoch 88/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1969WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.9267 - lr: 1.0000e-04
Epoch 89/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0843WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4763 - lr: 1.0000e-04
Epoch 90/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5595WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.9040 - lr: 1.0000e-04
Epoch 91/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2283WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.7786 - lr: 1.0000e-04
Epoch 92/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8787WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.8321 - lr: 1.0000e-04
Epoch 93/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1454WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.9855 - lr: 1.0000e-04
Epoch 94/200
1/4 [======>.......................] - ETA: 0s - loss: 3.3893WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.8927 - lr: 1.0000e-04
Epoch 95/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1740WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.6482 - lr: 1.0000e-04
Epoch 96/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9044WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.8155 - lr: 1.0000e-04
Epoch 97/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6409WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.7344 - lr: 1.0000e-04
Epoch 98/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9122WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.7112 - lr: 1.0000e-04
Epoch 99/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5539WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.7323 - lr: 1.0000e-04
Epoch 100/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7613WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5004 - lr: 1.0000e-04
Epoch 101/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1953WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5055 - lr: 9.0484e-05
Epoch 102/200
1/4 [======>.......................] - ETA: 0s - loss: 3.2522WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4939 - lr: 8.1873e-05
Epoch 103/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8851WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.6394 - lr: 7.4082e-05
Epoch 104/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7750WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5267 - lr: 6.7032e-05
Epoch 105/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3966WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.7651 - lr: 6.0653e-05
Epoch 106/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9756WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.9047 - lr: 5.4881e-05
Epoch 107/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9322WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5938 - lr: 4.9659e-05
Epoch 108/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7607WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.7363 - lr: 4.4933e-05
Epoch 109/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5737WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5403 - lr: 4.0657e-05
Epoch 110/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9097WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.8348 - lr: 3.6788e-05
Epoch 111/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9114WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5240 - lr: 3.3287e-05
Epoch 112/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6012WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.8445 - lr: 3.0119e-05
Epoch 113/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5866WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.6708 - lr: 2.7253e-05
Epoch 114/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4680WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4243 - lr: 2.4660e-05
Epoch 115/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2670WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3083 - lr: 2.2313e-05
Epoch 116/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5028WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5071 - lr: 2.0190e-05
Epoch 117/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6264WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.8860 - lr: 1.8268e-05
Epoch 118/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5428WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.6077 - lr: 1.6530e-05
Epoch 119/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5638WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.8924 - lr: 1.4957e-05
Epoch 120/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9697WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5788 - lr: 1.3534e-05
Epoch 121/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5500WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5148 - lr: 1.2246e-05
Epoch 122/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7617WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.7364 - lr: 1.1080e-05
Epoch 123/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4299WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.6078 - lr: 1.0026e-05
Epoch 124/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9171WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5881 - lr: 9.0718e-06
Epoch 125/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2181WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5733 - lr: 8.2085e-06
Epoch 126/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7483WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.6473 - lr: 7.4273e-06
Epoch 127/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4014WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4712 - lr: 6.7205e-06
Epoch 128/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1405WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2382 - lr: 6.0810e-06
Epoch 129/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7684WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5666 - lr: 5.5023e-06
Epoch 130/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6888WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5824 - lr: 4.9787e-06
Epoch 131/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8803WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.6984 - lr: 4.5049e-06
Epoch 132/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9351WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5671 - lr: 4.0762e-06
Epoch 133/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2366WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4370 - lr: 3.6883e-06
Epoch 134/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2478WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4799 - lr: 3.3373e-06
Epoch 135/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1973WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4161 - lr: 3.0197e-06
Epoch 136/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1145WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3548 - lr: 2.7324e-06
Epoch 137/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5561WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.7092 - lr: 2.4723e-06
Epoch 138/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3467WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5602 - lr: 2.2371e-06
Epoch 139/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4041WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.7800 - lr: 2.0242e-06
Epoch 140/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2945WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.9026 - lr: 1.8316e-06
Epoch 141/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5650WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.8083 - lr: 1.6573e-06
Epoch 142/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5798WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5274 - lr: 1.4996e-06
Epoch 143/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4597WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5209 - lr: 1.3569e-06
Epoch 144/200
1/4 [======>.......................] - ETA: 0s - loss: 3.5116WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.8487 - lr: 1.2277e-06
Epoch 145/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1976WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3224 - lr: 1.1109e-06
Epoch 146/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0238WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4578 - lr: 1.0052e-06
Epoch 147/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2967WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2437 - lr: 9.0953e-07
Epoch 148/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4487WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.6371 - lr: 8.2297e-07
Epoch 149/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2189WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4327 - lr: 7.4466e-07
Epoch 150/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8457WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.6192 - lr: 6.7379e-07
Epoch 151/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9942WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2875 - lr: 6.0967e-07
Epoch 152/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7052WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5163 - lr: 5.5165e-07
Epoch 153/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1053WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5677 - lr: 4.9916e-07
Epoch 154/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8947WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.7312 - lr: 4.5166e-07
Epoch 155/200
1/4 [======>.......................] - ETA: 0s - loss: 3.1239WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5506 - lr: 4.0868e-07
Epoch 156/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9106WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 3.0239 - lr: 3.6979e-07
Epoch 157/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3921WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5672 - lr: 3.3460e-07
Epoch 158/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8266WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.6746 - lr: 3.0275e-07
Epoch 159/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4193WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.2659 - lr: 2.7394e-07
Epoch 160/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2537WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3808 - lr: 2.4787e-07
Epoch 161/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6682WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5571 - lr: 2.2429e-07
Epoch 162/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4014WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.7216 - lr: 2.0294e-07
Epoch 163/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4001WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.6243 - lr: 1.8363e-07
Epoch 164/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4851WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3571 - lr: 1.6616e-07
Epoch 165/200
1/4 [======>.......................] - ETA: 0s - loss: 2.1340WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3971 - lr: 1.5034e-07
Epoch 166/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5737WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5493 - lr: 1.3604e-07
Epoch 167/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8921WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.6866 - lr: 1.2309e-07
Epoch 168/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4943WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.7907 - lr: 1.1138e-07
Epoch 169/200
1/4 [======>.......................] - ETA: 0s - loss: 3.4151WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.7311 - lr: 1.0078e-07
Epoch 170/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8810WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.7981 - lr: 9.1188e-08
Epoch 171/200
1/4 [======>.......................] - ETA: 0s - loss: 2.0574WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.6529 - lr: 8.2510e-08
Epoch 172/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5680WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.7525 - lr: 7.4658e-08
Epoch 173/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5792WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.7897 - lr: 6.7554e-08
Epoch 174/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6805WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5172 - lr: 6.1125e-08
Epoch 175/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8250WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5865 - lr: 5.5308e-08
Epoch 176/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8469WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.6280 - lr: 5.0045e-08
Epoch 177/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5616WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.6966 - lr: 4.5283e-08
Epoch 178/200
1/4 [======>.......................] - ETA: 0s - loss: 2.2373WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5316 - lr: 4.0973e-08
Epoch 179/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0662WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.6969 - lr: 3.7074e-08
Epoch 180/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5327WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5547 - lr: 3.3546e-08
Epoch 181/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7424WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.7958 - lr: 3.0354e-08
Epoch 182/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8569WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.8745 - lr: 2.7465e-08
Epoch 183/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6330WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.6911 - lr: 2.4852e-08
Epoch 184/200
1/4 [======>.......................] - ETA: 0s - loss: 3.0565WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.6043 - lr: 2.2487e-08
Epoch 185/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3562WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3851 - lr: 2.0347e-08
Epoch 186/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6027WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.8507 - lr: 1.8410e-08
Epoch 187/200
1/4 [======>.......................] - ETA: 0s - loss: 1.9027WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.6424 - lr: 1.6659e-08
Epoch 188/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4505WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3432 - lr: 1.5073e-08
Epoch 189/200
1/4 [======>.......................] - ETA: 0s - loss: 2.9392WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5827 - lr: 1.3639e-08
Epoch 190/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3632WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.6782 - lr: 1.2341e-08
Epoch 191/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8012WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4352 - lr: 1.1167e-08
Epoch 192/200
1/4 [======>.......................] - ETA: 0s - loss: 2.3583WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.4768 - lr: 1.0104e-08
Epoch 193/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6916WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.3350 - lr: 9.1424e-09
Epoch 194/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4759WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.6036 - lr: 8.2724e-09
Epoch 195/200
1/4 [======>.......................] - ETA: 0s - loss: 2.7927WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5630 - lr: 7.4851e-09
Epoch 196/200
1/4 [======>.......................] - ETA: 0s - loss: 2.5585WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.6641 - lr: 6.7728e-09
Epoch 197/200
1/4 [======>.......................] - ETA: 0s - loss: 2.4676WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.7902 - lr: 6.1283e-09
Epoch 198/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6769WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.7092 - lr: 5.5451e-09
Epoch 199/200
1/4 [======>.......................] - ETA: 0s - loss: 2.6037WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.5933 - lr: 5.0174e-09
Epoch 200/200
1/4 [======>.......................] - ETA: 0s - loss: 2.8033WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
4/4 [==============================] - 0s 6ms/step - loss: 2.8671 - lr: 4.5400e-09
{'n_layers': 2, 'filter_unit0': 64, 'filter_unit1': 32, 'kernel_size0': 3, 'kernel_size1': 4, 'pool_size0': 1, 'pool_size1': 5, 'stride_size0': 4, 'stride_size1': 3, 'dropout0': 0.30000000000000004, 'dropout1': 0.4}
1/39 [..............................] - ETA: 9s
27/39 [===================>..........] - ETA: 0s
39/39 [==============================] - 0s 2ms/step
adding new entry
subject config_id mdl_str ... r2 pearsonr_coeff pearsonr_pval
0 Pilot02 0 linreg ... -9.864563 0.038776 0.364940
1 Pilot02 0 linreg ... -11.875765 0.070097 0.101171
2 Pilot02 0 linreg ... -11.069278 0.047023 0.271822
3 Pilot02 0 linreg ... -25.345517 0.016892 0.693177
4 Pilot02 0 linreg ... -15.299470 0.118749 0.005380
.. ... ... ... ... ... ... ...
480 Pilot03 1 cnn1d ... -0.531484 -0.093171 0.003542
481 Pilot02 1 cnn1d ... -8.579331 -0.017832 0.529434
482 Pilot02 1 cnn1d ... -1.102534 -0.050187 0.076579
483 Pilot03 1 cnn1d ... -2.516991 -0.101124 0.001543
484 Pilot02 1 cnn1d ... -9.384893 -0.004659 0.869503
[485 rows x 18 columns]
Namespace(data_input='imu+bvp', feature_method='None', lbl_str='pss', model='cnn1d', overwrite=0, subject=2, test_standing=1, train_len=5, win_shift=0.2, win_size=12)
WARNING:tensorflow:Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.13
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.13
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.14
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.14
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.15
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.15
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.16
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.16
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.17
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.17
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.18
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.18
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.19
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.19
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.20
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.20
WARNING:tensorflow:Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
Detecting that an object or model or tf.train.Checkpoint is being deleted with unrestored values. See the following logs for the specific values in question. To silence these warnings, use `status.expect_partial()`. See https://www.tensorflow.org/api_docs/python/tf/train/Checkpoint#restorefor details about the status object returned by the restore function.
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.1
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.2
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.3
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.4
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.5
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.6
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.7
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.8
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.9
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.10
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.11
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.12
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.13
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.13
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.14
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.14
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.15
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.15
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.16
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.16
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.17
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.17
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.18
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.18
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.19
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.19
WARNING:tensorflow:Value in checkpoint could not be found in the restored object: (root).optimizer._variables.20
Value in checkpoint could not be found in the restored object: (root).optimizer._variables.20