Skip to content
Snippets Groups Projects
Normal view History Permalink
singularity_1404675.out 2.21 MiB
Newer Older
Raymond Chia's avatar
new doc string
Raymond Chia committed
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757 758 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775 776 777 778 779 780 781 782 783 784 785 786 787 788 789 790 791 792 793 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863 864 865 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900 901 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919 920 921 922 923 924 925 926 927 928 929 930 931 932 933 934 935 936 937 938 939 940 941 942 943 944 945 946 947 948 949 950 951 952 953 954 955 956 957 958 959 960 961 962 963 964 965 966 967 968 969 970 971 972 973 974 975 976 977 978 979 980 981 982 983 984 985 986 987 988 989 990 991 992 993 994 995 996 997 998 999 1000 
2023-11-24 11:17:11.644555: 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 11:19:11.472646: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:995] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355
2023-11-24 11:19:13.662952: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:995] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355
2023-11-24 11:19:13.663211: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:995] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355
2023-11-24 11:19:13.824090: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:995] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355
2023-11-24 11:19:13.824346: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:995] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355
2023-11-24 11:19:13.824490: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:995] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355
2023-11-24 11:19:24.414951: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:995] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355
2023-11-24 11:19:24.415222: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:995] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355
2023-11-24 11:19:24.415375: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:995] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355
2023-11-24 11:19:24.415492: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1639] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 14603 MB memory:  -> device: 0, name: Quadro RTX 5000, pci bus id: 0000:0b:00.0, compute capability: 7.5
2023-11-24 11:19:44.069987: I tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:432] Loaded cuDNN version 8600
Namespace(data_input='imu+bvp', feature_method='None', lbl_str='pss', model='cnn1d', overwrite=0, subject=3, test_standing=1, train_len=5, win_shift=0.2, win_size=12)
Using pre-set data id:  1
imu-bvp_rr_Pilot03_id1_combi5.0-7.0-10.0-12.0-15.0
train
(36036, 11)
test
(287283, 10)
---CNN1D---
input shape:  (1440, 7)
x shape:  (121, 1440, 7)
Reloading Tuner from /projects/CIBCIGroup/00DataUploading/rqchia/aria-respiration-cal/subject_specific/Pilot03/imu-bvp_rr/01/cnn1d_imu-bvp_rr_Pilot03_id1_combi5.0-7.0-10.0-12.0-15.0/bayesianoptimization/tuner0.json
{'n_layers': 5, 'filter_unit0': 128, 'filter_unit1': 128, 'filter_unit2': 256, 'filter_unit3': 128, 'filter_unit4': 128, 'kernel_size0': 5, 'kernel_size1': 5, 'kernel_size2': 4, 'kernel_size3': 2, 'kernel_size4': 4, 'pool_size0': 2, 'pool_size1': 1, 'pool_size2': 2, 'pool_size3': 4, 'pool_size4': 3, 'stride_size0': 2, 'stride_size1': 3, 'stride_size2': 3, 'stride_size3': 2, 'stride_size4': 2, 'dropout0': 0.1, 'dropout1': 0.30000000000000004, 'dropout2': 0.4, 'dropout3': 0.4, 'dropout4': 0.2}

 1/31 [..............................] - ETA: 17:21
13/31 [===========>..................] - ETA: 0s   
25/31 [=======================>......] - ETA: 0s
31/31 [==============================] - ETA: 0s
31/31 [==============================] - 35s 6ms/step
2023-11-24 11:20:05.196911: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x2b3542b0 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
2023-11-24 11:20:05.196947: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Quadro RTX 5000, Compute Capability 7.5
2023-11-24 11:20:05.246652: 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 11:20:05.600808: 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.
     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
..       ...        ...     ...  ...        ...             ...           ...
439  Pilot02          8  linreg  ...  -7.684031        0.108694      0.000098
440  Pilot02          8  linreg  ...  -6.294962        0.123153      0.000010
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 rows x 18 columns]
imu-bvp_rr_Pilot03_id1_combi5.0-7.0-10.0-12.0-17.0
train
(35916, 11)
test
(287283, 10)
---CNN1D---
input shape:  (1440, 7)
x shape:  (115, 1440, 7)
Reloading Tuner from /projects/CIBCIGroup/00DataUploading/rqchia/aria-respiration-cal/subject_specific/Pilot03/imu-bvp_rr/01/cnn1d_imu-bvp_rr_Pilot03_id1_combi5.0-7.0-10.0-12.0-17.0/bayesianoptimization/tuner0.json

Search: Running Trial #18

Value             |Best Value So Far |Hyperparameter
1                 |1                 |n_layers
128               |128               |filter_unit0
3                 |4                 |kernel_size0
3                 |4                 |pool_size0
1                 |2                 |stride_size0
0.4               |0.3               |dropout0



Trial 18 Complete [00h 00m 06s]
val_loss: 17.04376792907715

Best val_loss So Far: 15.390900611877441
Total elapsed time: 00h 00m 06s

Search: Running Trial #19

Value             |Best Value So Far |Hyperparameter
2                 |1                 |n_layers
256               |128               |filter_unit0
256               |None              |filter_unit1
2                 |4                 |kernel_size0
2                 |None              |kernel_size1
2                 |4                 |pool_size0
4                 |None              |pool_size1
4                 |2                 |stride_size0
5                 |None              |stride_size1
0.2               |0.3               |dropout0
0.1               |None              |dropout1



Trial 19 Complete [00h 00m 03s]
val_loss: 15.77706241607666

Best val_loss So Far: 15.390900611877441
Total elapsed time: 00h 00m 10s

Search: Running Trial #20

Value             |Best Value So Far |Hyperparameter
5                 |1                 |n_layers
256               |128               |filter_unit0
32                |None              |filter_unit1
32                |None              |filter_unit2
128               |None              |filter_unit3
128               |None              |filter_unit4
1                 |4                 |kernel_size0
5                 |None              |kernel_size1
5                 |None              |kernel_size2
2                 |None              |kernel_size3
3                 |None              |kernel_size4
1                 |4                 |pool_size0
3                 |None              |pool_size1
1                 |None              |pool_size2
4                 |None              |pool_size3
1                 |None              |pool_size4
1                 |2                 |stride_size0
3                 |None              |stride_size1
5                 |None              |stride_size2
1                 |None              |stride_size3
1                 |None              |stride_size4
0.3               |0.3               |dropout0
0.4               |None              |dropout1
0.2               |None              |dropout2
0                 |None              |dropout3
0.2               |None              |dropout4



Trial 20 Complete [00h 00m 06s]
val_loss: 16.144161224365234

Best val_loss So Far: 15.390900611877441
Total elapsed time: 00h 00m 16s
{'n_layers': 1, 'filter_unit0': 128, 'kernel_size0': 4, 'pool_size0': 4, 'stride_size0': 2, 'dropout0': 0.30000000000000004}
Epoch 1/200

1/4 [======>.......................] - ETA: 3s - loss: 17.1562WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which 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: 18.0509 - lr: 1.0000e-04
Epoch 2/200

1/4 [======>.......................] - ETA: 0s - loss: 17.1967WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 17.0756 - lr: 1.0000e-04
Epoch 3/200

1/4 [======>.......................] - ETA: 0s - loss: 17.3031WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 16.2296 - lr: 1.0000e-04
Epoch 4/200

1/4 [======>.......................] - ETA: 0s - loss: 15.6096WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 15.3498 - lr: 1.0000e-04
Epoch 5/200

1/4 [======>.......................] - ETA: 0s - loss: 15.0370WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 14.4843 - lr: 1.0000e-04
Epoch 6/200

1/4 [======>.......................] - ETA: 0s - loss: 13.4561WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 13.5671 - lr: 1.0000e-04
Epoch 7/200

1/4 [======>.......................] - ETA: 0s - loss: 12.8690WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 12.7249 - lr: 1.0000e-04
Epoch 8/200

1/4 [======>.......................] - ETA: 0s - loss: 11.7780WARNING: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 6ms/step - loss: 11.8129 - lr: 1.0000e-04
Epoch 9/200

1/4 [======>.......................] - ETA: 0s - loss: 11.7223WARNING: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 6ms/step - loss: 10.8512 - lr: 1.0000e-04
Epoch 10/200

1/4 [======>.......................] - ETA: 0s - loss: 9.2289WARNING: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: 9.9909 - lr: 1.0000e-04
Epoch 11/200

1/4 [======>.......................] - ETA: 0s - loss: 10.6985WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 9.1386 - lr: 1.0000e-04
Epoch 12/200

1/4 [======>.......................] - ETA: 0s - loss: 9.5148WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 8.1451 - lr: 1.0000e-04
Epoch 13/200

1/4 [======>.......................] - ETA: 0s - loss: 7.4322WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 7.3832 - lr: 1.0000e-04
Epoch 14/200

1/4 [======>.......................] - ETA: 0s - loss: 6.7001WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 6.5080 - lr: 1.0000e-04
Epoch 15/200

1/4 [======>.......................] - ETA: 0s - loss: 5.6133WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 5.8231 - lr: 1.0000e-04
Epoch 16/200

1/4 [======>.......................] - ETA: 0s - loss: 4.6576WARNING: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 6ms/step - loss: 5.1162 - lr: 1.0000e-04
Epoch 17/200

1/4 [======>.......................] - ETA: 0s - loss: 5.0202WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 4.6797 - lr: 1.0000e-04
Epoch 18/200

1/4 [======>.......................] - ETA: 0s - loss: 4.5692WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 4.1808 - lr: 1.0000e-04
Epoch 19/200

1/4 [======>.......................] - ETA: 0s - loss: 3.0053WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 3.8318 - lr: 1.0000e-04
Epoch 20/200

1/4 [======>.......................] - ETA: 0s - loss: 3.3271WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 3.5120 - lr: 1.0000e-04
Epoch 21/200

1/4 [======>.......................] - ETA: 0s - loss: 3.6307WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 3.4913 - lr: 1.0000e-04
Epoch 22/200

1/4 [======>.......................] - ETA: 0s - loss: 3.2230WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 3.3415 - lr: 1.0000e-04
Epoch 23/200

1/4 [======>.......................] - ETA: 0s - loss: 3.7779WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 3.2682 - lr: 1.0000e-04
Epoch 24/200

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 6ms/step - loss: 3.0928 - lr: 1.0000e-04
Epoch 25/200

1/4 [======>.......................] - ETA: 0s - loss: 2.5129WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 3.0563 - lr: 1.0000e-04
Epoch 26/200

1/4 [======>.......................] - ETA: 0s - loss: 2.9090WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 3.0954 - lr: 1.0000e-04
Epoch 27/200

1/4 [======>.......................] - ETA: 0s - loss: 2.2307WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 2.9288 - lr: 1.0000e-04
Epoch 28/200

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 6ms/step - loss: 2.8016 - lr: 1.0000e-04
Epoch 29/200

1/4 [======>.......................] - ETA: 0s - loss: 3.0706WARNING: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 6ms/step - loss: 2.7944 - lr: 1.0000e-04
Epoch 30/200

1/4 [======>.......................] - ETA: 0s - loss: 2.3724WARNING: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 6ms/step - loss: 2.7371 - lr: 1.0000e-04
Epoch 31/200

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 6ms/step - loss: 2.6347 - lr: 1.0000e-04
Epoch 32/200

1/4 [======>.......................] - ETA: 0s - loss: 3.1227WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 2.5494 - lr: 1.0000e-04
Epoch 33/200

1/4 [======>.......................] - ETA: 0s - loss: 2.7186WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 2.5428 - lr: 1.0000e-04
Epoch 34/200

1/4 [======>.......................] - ETA: 0s - loss: 2.0318WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 2.5603 - lr: 1.0000e-04
Epoch 35/200

1/4 [======>.......................] - ETA: 0s - loss: 3.1986WARNING: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 6ms/step - loss: 2.4236 - lr: 1.0000e-04
Epoch 36/200

1/4 [======>.......................] - ETA: 0s - loss: 2.5010WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 2.4832 - lr: 1.0000e-04
Epoch 37/200

1/4 [======>.......................] - ETA: 0s - loss: 2.9949WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 2.4035 - lr: 1.0000e-04
Epoch 38/200

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 6ms/step - loss: 2.2534 - lr: 1.0000e-04
Epoch 39/200

1/4 [======>.......................] - ETA: 0s - loss: 2.3209WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 2.3310 - lr: 1.0000e-04
Epoch 40/200

1/4 [======>.......................] - ETA: 0s - loss: 1.7230WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 2.2881 - lr: 1.0000e-04
Epoch 41/200

1/4 [======>.......................] - ETA: 0s - loss: 2.5315WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 2.2723 - lr: 1.0000e-04
Epoch 42/200

1/4 [======>.......................] - ETA: 0s - loss: 2.3294WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 2.2810 - lr: 1.0000e-04
Epoch 43/200

1/4 [======>.......................] - ETA: 0s - loss: 2.4151WARNING: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: 2.2197 - lr: 1.0000e-04
Epoch 44/200

1/4 [======>.......................] - ETA: 0s - loss: 2.0145WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 2.0888 - lr: 1.0000e-04
Epoch 45/200

1/4 [======>.......................] - ETA: 0s - loss: 2.6368WARNING: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 6ms/step - loss: 2.1203 - lr: 1.0000e-04
Epoch 46/200

1/4 [======>.......................] - ETA: 0s - loss: 1.9635WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 2.2365 - lr: 1.0000e-04
Epoch 47/200

1/4 [======>.......................] - ETA: 0s - loss: 2.1600WARNING: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 6ms/step - loss: 2.0898 - lr: 1.0000e-04
Epoch 48/200

1/4 [======>.......................] - ETA: 0s - loss: 1.6605WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 2.0524 - lr: 1.0000e-04
Epoch 49/200

1/4 [======>.......................] - ETA: 0s - loss: 2.0868WARNING: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 6ms/step - loss: 1.9630 - lr: 1.0000e-04
Epoch 50/200

1/4 [======>.......................] - ETA: 0s - loss: 2.1804WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 2.1751 - lr: 1.0000e-04
Epoch 51/200

1/4 [======>.......................] - ETA: 0s - loss: 1.8608WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.9320 - lr: 1.0000e-04
Epoch 52/200

1/4 [======>.......................] - ETA: 0s - loss: 1.8585WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.9741 - lr: 1.0000e-04
Epoch 53/200

1/4 [======>.......................] - ETA: 0s - loss: 2.0457WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.9319 - lr: 1.0000e-04
Epoch 54/200

1/4 [======>.......................] - ETA: 0s - loss: 1.7769WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.8579 - lr: 1.0000e-04
Epoch 55/200

1/4 [======>.......................] - ETA: 0s - loss: 1.6825WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.8758 - lr: 1.0000e-04
Epoch 56/200

1/4 [======>.......................] - ETA: 0s - loss: 1.8490WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.9180 - lr: 1.0000e-04
Epoch 57/200

1/4 [======>.......................] - ETA: 0s - loss: 2.2550WARNING: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 6ms/step - loss: 1.8506 - lr: 1.0000e-04
Epoch 58/200

1/4 [======>.......................] - ETA: 0s - loss: 1.7420WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.7698 - lr: 1.0000e-04
Epoch 59/200

1/4 [======>.......................] - ETA: 0s - loss: 2.3776WARNING: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 6ms/step - loss: 1.8530 - lr: 1.0000e-04
Epoch 60/200

1/4 [======>.......................] - ETA: 0s - loss: 1.2541WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.6700 - lr: 1.0000e-04
Epoch 61/200

1/4 [======>.......................] - ETA: 0s - loss: 1.4014WARNING: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: 1.7600 - lr: 1.0000e-04
Epoch 62/200

1/4 [======>.......................] - ETA: 0s - loss: 1.4127WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.7578 - lr: 1.0000e-04
Epoch 63/200

1/4 [======>.......................] - ETA: 0s - loss: 1.7426WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.6870 - lr: 1.0000e-04
Epoch 64/200

1/4 [======>.......................] - ETA: 0s - loss: 1.2673WARNING: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 6ms/step - loss: 1.6577 - lr: 1.0000e-04
Epoch 65/200

1/4 [======>.......................] - ETA: 0s - loss: 1.7267WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.6367 - lr: 1.0000e-04
Epoch 66/200

1/4 [======>.......................] - ETA: 0s - loss: 1.2904WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.5885 - lr: 1.0000e-04
Epoch 67/200

1/4 [======>.......................] - ETA: 0s - loss: 2.1698WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.6071 - lr: 1.0000e-04
Epoch 68/200

1/4 [======>.......................] - ETA: 0s - loss: 2.1969WARNING: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: 1.5947 - lr: 1.0000e-04
Epoch 69/200

1/4 [======>.......................] - ETA: 0s - loss: 1.6456WARNING: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 6ms/step - loss: 1.5174 - lr: 1.0000e-04
Epoch 70/200

1/4 [======>.......................] - ETA: 0s - loss: 1.5397WARNING: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 6ms/step - loss: 1.5820 - lr: 1.0000e-04
Epoch 71/200

1/4 [======>.......................] - ETA: 0s - loss: 1.7567WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.5133 - lr: 1.0000e-04
Epoch 72/200

1/4 [======>.......................] - ETA: 0s - loss: 2.1545WARNING: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: 1.7620 - lr: 1.0000e-04
Epoch 73/200

1/4 [======>.......................] - ETA: 0s - loss: 1.6080WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.5526 - lr: 1.0000e-04
Epoch 74/200

1/4 [======>.......................] - ETA: 0s - loss: 1.7083WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.6680 - lr: 1.0000e-04
Epoch 75/200

1/4 [======>.......................] - ETA: 0s - loss: 1.1415WARNING: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: 1.4949 - lr: 1.0000e-04
Epoch 76/200

1/4 [======>.......................] - ETA: 0s - loss: 0.8890WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.4412 - lr: 1.0000e-04
Epoch 77/200

1/4 [======>.......................] - ETA: 0s - loss: 1.5462WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.4400 - lr: 1.0000e-04
Epoch 78/200

1/4 [======>.......................] - ETA: 0s - loss: 1.5185WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.4088 - lr: 1.0000e-04
Epoch 79/200

1/4 [======>.......................] - ETA: 0s - loss: 1.1173WARNING: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 6ms/step - loss: 1.5463 - lr: 1.0000e-04
Epoch 80/200

1/4 [======>.......................] - ETA: 0s - loss: 1.2676WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.4784 - lr: 1.0000e-04
Epoch 81/200

1/4 [======>.......................] - ETA: 0s - loss: 1.5482WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.4079 - lr: 1.0000e-04
Epoch 82/200

1/4 [======>.......................] - ETA: 0s - loss: 1.5131WARNING: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: 1.3906 - lr: 1.0000e-04
Epoch 83/200

1/4 [======>.......................] - ETA: 0s - loss: 1.2622WARNING: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 6ms/step - loss: 1.3364 - lr: 1.0000e-04
Epoch 84/200

1/4 [======>.......................] - ETA: 0s - loss: 1.1686WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.3683 - lr: 1.0000e-04
Epoch 85/200

1/4 [======>.......................] - ETA: 0s - loss: 1.5244WARNING: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 6ms/step - loss: 1.4011 - lr: 1.0000e-04
Epoch 86/200

1/4 [======>.......................] - ETA: 0s - loss: 1.1340WARNING: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: 1.2658 - lr: 1.0000e-04
Epoch 87/200

1/4 [======>.......................] - ETA: 0s - loss: 1.2901WARNING: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: 1.3600 - lr: 1.0000e-04
Epoch 88/200

1/4 [======>.......................] - ETA: 0s - loss: 0.9455WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.3022 - lr: 1.0000e-04
Epoch 89/200

1/4 [======>.......................] - ETA: 0s - loss: 1.2880WARNING: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 6ms/step - loss: 1.2395 - lr: 1.0000e-04
Epoch 90/200

1/4 [======>.......................] - ETA: 0s - loss: 1.2586WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.2740 - lr: 1.0000e-04
Epoch 91/200

1/4 [======>.......................] - ETA: 0s - loss: 1.5492WARNING: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 6ms/step - loss: 1.3872 - lr: 1.0000e-04
Epoch 92/200

1/4 [======>.......................] - ETA: 0s - loss: 1.1408WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.2114 - lr: 1.0000e-04
Epoch 93/200

1/4 [======>.......................] - ETA: 0s - loss: 0.8359WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.2321 - lr: 1.0000e-04
Epoch 94/200

1/4 [======>.......................] - ETA: 0s - loss: 1.2453WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.3444 - lr: 1.0000e-04
Epoch 95/200

1/4 [======>.......................] - ETA: 0s - loss: 0.9857WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.1626 - lr: 1.0000e-04
Epoch 96/200

1/4 [======>.......................] - ETA: 0s - loss: 1.0575WARNING: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 6ms/step - loss: 1.2504 - lr: 1.0000e-04
Epoch 97/200

1/4 [======>.......................] - ETA: 0s - loss: 1.1253WARNING: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 6ms/step - loss: 1.2313 - lr: 1.0000e-04
Epoch 98/200

1/4 [======>.......................] - ETA: 0s - loss: 0.8475WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.2286 - lr: 1.0000e-04
Epoch 99/200

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 6ms/step - loss: 1.2244 - lr: 1.0000e-04
Epoch 100/200

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 6ms/step - loss: 1.2740 - lr: 1.0000e-04
Epoch 101/200

1/4 [======>.......................] - ETA: 0s - loss: 1.4029WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.2482 - lr: 9.0484e-05
Epoch 102/200

1/4 [======>.......................] - ETA: 0s - loss: 1.3154WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.3363 - lr: 8.1873e-05
Epoch 103/200

1/4 [======>.......................] - ETA: 0s - loss: 0.8257WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.0975 - lr: 7.4082e-05
Epoch 104/200

1/4 [======>.......................] - ETA: 0s - loss: 0.9465WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.1629 - lr: 6.7032e-05
Epoch 105/200

1/4 [======>.......................] - ETA: 0s - loss: 1.2544WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.0445 - lr: 6.0653e-05
Epoch 106/200

1/4 [======>.......................] - ETA: 0s - loss: 0.9454WARNING: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: 1.1138 - lr: 5.4881e-05
Epoch 107/200

1/4 [======>.......................] - ETA: 0s - loss: 1.4373WARNING: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 6ms/step - loss: 1.2019 - lr: 4.9659e-05
Epoch 108/200

1/4 [======>.......................] - ETA: 0s - loss: 1.1229WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.1290 - lr: 4.4933e-05
Epoch 109/200

1/4 [======>.......................] - ETA: 0s - loss: 0.9823WARNING: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 6ms/step - loss: 1.1192 - lr: 4.0657e-05
Epoch 110/200

1/4 [======>.......................] - ETA: 0s - loss: 1.3755WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.1637 - lr: 3.6788e-05
Epoch 111/200

1/4 [======>.......................] - ETA: 0s - loss: 1.0961WARNING: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 6ms/step - loss: 1.1249 - lr: 3.3287e-05
Epoch 112/200

1/4 [======>.......................] - ETA: 0s - loss: 0.9629WARNING: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 6ms/step - loss: 1.1839 - lr: 3.0119e-05
Epoch 113/200

1/4 [======>.......................] - ETA: 0s - loss: 1.0776WARNING: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 6ms/step - loss: 1.1578 - lr: 2.7253e-05
Epoch 114/200

1/4 [======>.......................] - ETA: 0s - loss: 1.5290WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.1458 - lr: 2.4660e-05
Epoch 115/200

1/4 [======>.......................] - ETA: 0s - loss: 0.7416WARNING: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 6ms/step - loss: 1.0222 - lr: 2.2313e-05
Epoch 116/200

1/4 [======>.......................] - ETA: 0s - loss: 1.0860WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.0420 - lr: 2.0190e-05
Epoch 117/200

1/4 [======>.......................] - ETA: 0s - loss: 1.0372WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.1231 - lr: 1.8268e-05
Epoch 118/200

1/4 [======>.......................] - ETA: 0s - loss: 0.7507WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.0668 - lr: 1.6530e-05
Epoch 119/200

1/4 [======>.......................] - ETA: 0s - loss: 1.7675WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.2936 - lr: 1.4957e-05
Epoch 120/200

1/4 [======>.......................] - ETA: 0s - loss: 1.0839WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.1689 - lr: 1.3534e-05
Epoch 121/200

1/4 [======>.......................] - ETA: 0s - loss: 0.6883WARNING: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 6ms/step - loss: 1.1722 - lr: 1.2246e-05
Epoch 122/200

1/4 [======>.......................] - ETA: 0s - loss: 1.1299WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.0791 - lr: 1.1080e-05
Epoch 123/200

1/4 [======>.......................] - ETA: 0s - loss: 1.3409WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.1230 - lr: 1.0026e-05
Epoch 124/200

1/4 [======>.......................] - ETA: 0s - loss: 1.4089WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.0789 - lr: 9.0718e-06
Epoch 125/200

1/4 [======>.......................] - ETA: 0s - loss: 1.2235WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.0545 - lr: 8.2085e-06
Epoch 126/200

1/4 [======>.......................] - ETA: 0s - loss: 0.8910WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.1226 - lr: 7.4273e-06
Epoch 127/200

1/4 [======>.......................] - ETA: 0s - loss: 1.0236WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.0780 - lr: 6.7205e-06
Epoch 128/200

1/4 [======>.......................] - ETA: 0s - loss: 0.8575WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.0598 - lr: 6.0810e-06
Epoch 129/200

1/4 [======>.......................] - ETA: 0s - loss: 1.5532WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.1271 - lr: 5.5023e-06
Epoch 130/200

1/4 [======>.......................] - ETA: 0s - loss: 0.6362WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.0910 - lr: 4.9787e-06
Epoch 131/200

1/4 [======>.......................] - ETA: 0s - loss: 1.2017WARNING: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 6ms/step - loss: 1.3115 - lr: 4.5049e-06
Epoch 132/200

1/4 [======>.......................] - ETA: 0s - loss: 1.1295WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.1771 - lr: 4.0762e-06
Epoch 133/200

1/4 [======>.......................] - ETA: 0s - loss: 0.9583WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.0734 - lr: 3.6883e-06
Epoch 134/200

1/4 [======>.......................] - ETA: 0s - loss: 1.0070WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.0727 - lr: 3.3373e-06
Epoch 135/200

1/4 [======>.......................] - ETA: 0s - loss: 0.8769WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.1345 - lr: 3.0197e-06
Epoch 136/200

1/4 [======>.......................] - ETA: 0s - loss: 1.1211WARNING: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 6ms/step - loss: 1.1415 - lr: 2.7324e-06
Epoch 137/200

1/4 [======>.......................] - ETA: 0s - loss: 1.5554WARNING: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 6ms/step - loss: 1.1736 - lr: 2.4723e-06
Epoch 138/200

1/4 [======>.......................] - ETA: 0s - loss: 1.2018WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.1226 - lr: 2.2371e-06
Epoch 139/200

1/4 [======>.......................] - ETA: 0s - loss: 1.0044WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.0631 - lr: 2.0242e-06
Epoch 140/200

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 6ms/step - loss: 1.1245 - lr: 1.8316e-06
Epoch 141/200

1/4 [======>.......................] - ETA: 0s - loss: 1.0110WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.0583 - lr: 1.6573e-06
Epoch 142/200

1/4 [======>.......................] - ETA: 0s - loss: 1.1509WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.1877 - lr: 1.4996e-06
Epoch 143/200

1/4 [======>.......................] - ETA: 0s - loss: 1.0398WARNING: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 6ms/step - loss: 1.0831 - lr: 1.3569e-06
Epoch 144/200

1/4 [======>.......................] - ETA: 0s - loss: 0.8706WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.1151 - lr: 1.2277e-06
Epoch 145/200

1/4 [======>.......................] - ETA: 0s - loss: 1.1562WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.0905 - lr: 1.1109e-06
Epoch 146/200

1/4 [======>.......................] - ETA: 0s - loss: 1.3285WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.1114 - lr: 1.0052e-06
Epoch 147/200

1/4 [======>.......................] - ETA: 0s - loss: 1.4770WARNING: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 6ms/step - loss: 1.1882 - lr: 9.0953e-07
Epoch 148/200

1/4 [======>.......................] - ETA: 0s - loss: 0.8901WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.0940 - lr: 8.2297e-07
Epoch 149/200

1/4 [======>.......................] - ETA: 0s - loss: 1.1635WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.1110 - lr: 7.4466e-07
Epoch 150/200

1/4 [======>.......................] - ETA: 0s - loss: 1.5236WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.3444 - lr: 6.7379e-07
Epoch 151/200

1/4 [======>.......................] - ETA: 0s - loss: 1.3888WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.2430 - lr: 6.0967e-07
Epoch 152/200

1/4 [======>.......................] - ETA: 0s - loss: 0.9385WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.0732 - lr: 5.5165e-07
Epoch 153/200

1/4 [======>.......................] - ETA: 0s - loss: 1.0488WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.1789 - lr: 4.9916e-07
Epoch 154/200

1/4 [======>.......................] - ETA: 0s - loss: 1.1326WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.1570 - lr: 4.5166e-07
Epoch 155/200

1/4 [======>.......................] - ETA: 0s - loss: 1.3080WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.2770 - lr: 4.0868e-07
Epoch 156/200

1/4 [======>.......................] - ETA: 0s - loss: 1.4717WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.1663 - lr: 3.6979e-07
Epoch 157/200

1/4 [======>.......................] - ETA: 0s - loss: 1.1573WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.1178 - lr: 3.3460e-07
Epoch 158/200

1/4 [======>.......................] - ETA: 0s - loss: 0.9146WARNING: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 6ms/step - loss: 1.0764 - lr: 3.0275e-07
Epoch 159/200

1/4 [======>.......................] - ETA: 0s - loss: 1.0918WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.0619 - lr: 2.7394e-07
Epoch 160/200

1/4 [======>.......................] - ETA: 0s - loss: 0.7773WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.2685 - lr: 2.4787e-07
Epoch 161/200

1/4 [======>.......................] - ETA: 0s - loss: 1.0532WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.2074 - lr: 2.2429e-07
Epoch 162/200

1/4 [======>.......................] - ETA: 0s - loss: 1.1205WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.0673 - lr: 2.0294e-07
Epoch 163/200

1/4 [======>.......................] - ETA: 0s - loss: 0.9615WARNING: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 6ms/step - loss: 1.0873 - lr: 1.8363e-07
Epoch 164/200

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 6ms/step - loss: 1.1797 - lr: 1.6616e-07
Epoch 165/200

1/4 [======>.......................] - ETA: 0s - loss: 1.0798WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 0.9891 - lr: 1.5034e-07
Epoch 166/200

1/4 [======>.......................] - ETA: 0s - loss: 0.9603WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.1003 - lr: 1.3604e-07
Epoch 167/200

1/4 [======>.......................] - ETA: 0s - loss: 0.9843WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.2072 - lr: 1.2309e-07
Epoch 168/200

1/4 [======>.......................] - ETA: 0s - loss: 1.1181WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.0345 - lr: 1.1138e-07
Epoch 169/200

1/4 [======>.......................] - ETA: 0s - loss: 1.0560WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.0739 - lr: 1.0078e-07
Epoch 170/200

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 6ms/step - loss: 1.0078 - lr: 9.1188e-08
Epoch 171/200

1/4 [======>.......................] - ETA: 0s - loss: 1.0998WARNING: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 6ms/step - loss: 1.0424 - lr: 8.2510e-08
Epoch 172/200

1/4 [======>.......................] - ETA: 0s - loss: 0.8966WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.0166 - lr: 7.4658e-08
Epoch 173/200

1/4 [======>.......................] - ETA: 0s - loss: 1.0411WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.0129 - lr: 6.7554e-08
Epoch 174/200

1/4 [======>.......................] - ETA: 0s - loss: 1.1192WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.2564 - lr: 6.1125e-08
Epoch 175/200

1/4 [======>.......................] - ETA: 0s - loss: 1.1765WARNING: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: 1.0827 - lr: 5.5308e-08
Epoch 176/200

1/4 [======>.......................] - ETA: 0s - loss: 1.0532WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.0627 - lr: 5.0045e-08
Epoch 177/200

1/4 [======>.......................] - ETA: 0s - loss: 1.4567WARNING: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 6ms/step - loss: 1.0944 - lr: 4.5283e-08
Epoch 178/200

1/4 [======>.......................] - ETA: 0s - loss: 0.7299WARNING: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 6ms/step - loss: 1.0076 - lr: 4.0973e-08
Epoch 179/200

1/4 [======>.......................] - ETA: 0s - loss: 0.9663WARNING: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 6ms/step - loss: 1.1718 - lr: 3.7074e-08
Epoch 180/200

1/4 [======>.......................] - ETA: 0s - loss: 0.8067WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.1206 - lr: 3.3546e-08
Epoch 181/200

1/4 [======>.......................] - ETA: 0s - loss: 1.6794WARNING: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 6ms/step - loss: 1.1033 - lr: 3.0354e-08
Epoch 182/200

1/4 [======>.......................] - ETA: 0s - loss: 0.9032WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.0593 - lr: 2.7465e-08
Epoch 183/200

1/4 [======>.......................] - ETA: 0s - loss: 1.1974WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.0709 - lr: 2.4852e-08
Epoch 184/200

1/4 [======>.......................] - ETA: 0s - loss: 1.2390WARNING: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 6ms/step - loss: 1.0787 - lr: 2.2487e-08
Epoch 185/200

1/4 [======>.......................] - ETA: 0s - loss: 0.8012WARNING: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: 1.0906 - lr: 2.0347e-08
Epoch 186/200

1/4 [======>.......................] - ETA: 0s - loss: 1.4861WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 7ms/step - loss: 1.0308 - lr: 1.8410e-08
Epoch 187/200

1/4 [======>.......................] - ETA: 0s - loss: 1.5730WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.2007 - lr: 1.6659e-08
Epoch 188/200

1/4 [======>.......................] - ETA: 0s - loss: 1.2048WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.0357 - lr: 1.5073e-08
Epoch 189/200

1/4 [======>.......................] - ETA: 0s - loss: 1.1718WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.1280 - lr: 1.3639e-08
Epoch 190/200

1/4 [======>.......................] - ETA: 0s - loss: 0.9849WARNING: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 6ms/step - loss: 1.1379 - lr: 1.2341e-08
Epoch 191/200

1/4 [======>.......................] - ETA: 0s - loss: 0.9942WARNING: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: 1.1483 - lr: 1.1167e-08
Epoch 192/200

1/4 [======>.......................] - ETA: 0s - loss: 1.1436WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.0995 - lr: 1.0104e-08
Epoch 193/200

1/4 [======>.......................] - ETA: 0s - loss: 0.9220WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 0.9947 - lr: 9.1424e-09
Epoch 194/200

1/4 [======>.......................] - ETA: 0s - loss: 1.0678WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.0188 - lr: 8.2724e-09
Epoch 195/200

1/4 [======>.......................] - ETA: 0s - loss: 0.7851WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.2442 - lr: 7.4851e-09
Epoch 196/200

1/4 [======>.......................] - ETA: 0s - loss: 0.8825WARNING: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: 1.0216 - lr: 6.7728e-09
Epoch 197/200

1/4 [======>.......................] - ETA: 0s - loss: 1.3289WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.3068 - lr: 6.1283e-09
Epoch 198/200

1/4 [======>.......................] - ETA: 0s - loss: 0.9332WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 0.9834 - lr: 5.5451e-09
Epoch 199/200

1/4 [======>.......................] - ETA: 0s - loss: 1.2293WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.1291 - lr: 5.0174e-09
Epoch 200/200

1/4 [======>.......................] - ETA: 0s - loss: 1.0052WARNING:tensorflow:Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss
Early stopping conditioned on metric `val_loss` which is not available. Available metrics are: loss

4/4 [==============================] - 0s 6ms/step - loss: 1.0914 - lr: 4.5400e-09
{'n_layers': 1, 'filter_unit0': 128, 'kernel_size0': 4, 'pool_size0': 4, 'stride_size0': 2, 'dropout0': 0.30000000000000004}

 1/31 [..............................] - ETA: 4s
26/31 [========================>.....] - ETA: 0s
31/31 [==============================] - 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
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
Show full blame