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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


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.

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



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


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.

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


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.

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



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


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.

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


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.

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



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


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.

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


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.

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



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



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


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.

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


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.

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


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.

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


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.

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


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.

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


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.

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


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.

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



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
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