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KanWasTaken
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WhartonDS_ClsModel

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feature_grouping
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  1. README.md +63 -63
  2. model.safetensors +1 -1
README.md CHANGED
@@ -16,9 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5043
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- - Auc Roc: 0.8462
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- - F1: 0.7532
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  ## Model description
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@@ -49,66 +49,66 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Auc Roc | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|
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- | 0.6946 | 1.0 | 24 | 0.6994 | 0.4002 | 0.3338 |
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- | 0.6861 | 2.0 | 48 | 0.6932 | 0.5146 | 0.4111 |
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- | 0.68 | 3.0 | 72 | 0.6923 | 0.5176 | 0.4953 |
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- | 0.6756 | 4.0 | 96 | 0.6993 | 0.4261 | 0.4520 |
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- | 0.6718 | 5.0 | 120 | 0.6821 | 0.6297 | 0.5368 |
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- | 0.6662 | 6.0 | 144 | 0.6745 | 0.6562 | 0.5894 |
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- | 0.6645 | 7.0 | 168 | 0.6703 | 0.6533 | 0.5914 |
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- | 0.6574 | 8.0 | 192 | 0.6600 | 0.6700 | 0.6132 |
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- | 0.6514 | 9.0 | 216 | 0.6554 | 0.6780 | 0.6057 |
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- | 0.6467 | 10.0 | 240 | 0.6611 | 0.6627 | 0.5871 |
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- | 0.6398 | 11.0 | 264 | 0.6537 | 0.6708 | 0.5927 |
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- | 0.6364 | 12.0 | 288 | 0.6482 | 0.7136 | 0.6500 |
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- | 0.6321 | 13.0 | 312 | 0.6459 | 0.6925 | 0.6129 |
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- | 0.6278 | 14.0 | 336 | 0.6326 | 0.7269 | 0.6682 |
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- | 0.6165 | 15.0 | 360 | 0.6399 | 0.6881 | 0.6022 |
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- | 0.6161 | 16.0 | 384 | 0.6145 | 0.7463 | 0.6804 |
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- | 0.6095 | 17.0 | 408 | 0.6231 | 0.7289 | 0.6634 |
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- | 0.607 | 18.0 | 432 | 0.6054 | 0.7573 | 0.6891 |
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- | 0.5999 | 19.0 | 456 | 0.6103 | 0.7856 | 0.7120 |
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- | 0.5899 | 20.0 | 480 | 0.6041 | 0.7649 | 0.6894 |
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- | 0.5864 | 21.0 | 504 | 0.5892 | 0.7759 | 0.6882 |
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- | 0.5773 | 22.0 | 528 | 0.5930 | 0.7749 | 0.6995 |
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- | 0.582 | 23.0 | 552 | 0.5915 | 0.7809 | 0.7080 |
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- | 0.576 | 24.0 | 576 | 0.6016 | 0.7700 | 0.6764 |
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- | 0.5728 | 25.0 | 600 | 0.5989 | 0.7620 | 0.6882 |
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- | 0.5688 | 26.0 | 624 | 0.5765 | 0.7826 | 0.7094 |
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- | 0.5617 | 27.0 | 648 | 0.5800 | 0.7900 | 0.6871 |
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- | 0.5545 | 28.0 | 672 | 0.5543 | 0.8018 | 0.7258 |
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- | 0.5491 | 29.0 | 696 | 0.5680 | 0.7963 | 0.7138 |
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- | 0.5481 | 30.0 | 720 | 0.5464 | 0.8149 | 0.7194 |
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- | 0.5491 | 31.0 | 744 | 0.5584 | 0.7930 | 0.7176 |
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- | 0.5464 | 32.0 | 768 | 0.5453 | 0.8199 | 0.7443 |
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- | 0.5393 | 33.0 | 792 | 0.5384 | 0.8220 | 0.7431 |
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- | 0.531 | 34.0 | 816 | 0.5351 | 0.8242 | 0.7318 |
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- | 0.5413 | 35.0 | 840 | 0.5392 | 0.8246 | 0.7301 |
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- | 0.5294 | 36.0 | 864 | 0.5298 | 0.8261 | 0.7553 |
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- | 0.5241 | 37.0 | 888 | 0.5312 | 0.8307 | 0.7393 |
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- | 0.5233 | 38.0 | 912 | 0.5311 | 0.8362 | 0.7539 |
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- | 0.5163 | 39.0 | 936 | 0.5198 | 0.8282 | 0.7445 |
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- | 0.5274 | 40.0 | 960 | 0.5187 | 0.8365 | 0.7475 |
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- | 0.5158 | 41.0 | 984 | 0.5306 | 0.8355 | 0.7355 |
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- | 0.5159 | 42.0 | 1008 | 0.5183 | 0.8345 | 0.7379 |
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- | 0.5175 | 43.0 | 1032 | 0.5166 | 0.8329 | 0.7470 |
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- | 0.5088 | 44.0 | 1056 | 0.5075 | 0.8413 | 0.7494 |
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- | 0.5061 | 45.0 | 1080 | 0.5123 | 0.8455 | 0.7492 |
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- | 0.524 | 46.0 | 1104 | 0.5118 | 0.8421 | 0.7464 |
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- | 0.516 | 47.0 | 1128 | 0.5119 | 0.8394 | 0.7394 |
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- | 0.5043 | 48.0 | 1152 | 0.5098 | 0.8375 | 0.7537 |
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- | 0.5125 | 49.0 | 1176 | 0.5080 | 0.8382 | 0.7438 |
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- | 0.5078 | 50.0 | 1200 | 0.5056 | 0.8406 | 0.7492 |
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- | 0.5064 | 51.0 | 1224 | 0.5015 | 0.8451 | 0.7531 |
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- | 0.5072 | 52.0 | 1248 | 0.5071 | 0.8406 | 0.7561 |
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- | 0.5152 | 53.0 | 1272 | 0.5138 | 0.8378 | 0.7478 |
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- | 0.5123 | 54.0 | 1296 | 0.5022 | 0.8454 | 0.7609 |
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- | 0.5124 | 55.0 | 1320 | 0.5032 | 0.8459 | 0.7716 |
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- | 0.5056 | 56.0 | 1344 | 0.5083 | 0.8425 | 0.7502 |
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- | 0.5044 | 57.0 | 1368 | 0.5032 | 0.8467 | 0.7547 |
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- | 0.5161 | 58.0 | 1392 | 0.5146 | 0.8328 | 0.7464 |
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- | 0.5045 | 59.0 | 1416 | 0.5036 | 0.8456 | 0.7547 |
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- | 0.5044 | 60.0 | 1440 | 0.5043 | 0.8462 | 0.7532 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2321
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+ - Auc Roc: 0.9733
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+ - F1: 0.9180
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Auc Roc | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|
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+ | 0.6867 | 1.0 | 24 | 0.6946 | 0.4032 | 0.3328 |
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+ | 0.669 | 2.0 | 48 | 0.6939 | 0.3556 | 0.3870 |
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+ | 0.6525 | 3.0 | 72 | 0.6943 | 0.4651 | 0.4785 |
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+ | 0.6385 | 4.0 | 96 | 0.6943 | 0.4137 | 0.3457 |
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+ | 0.6269 | 5.0 | 120 | 0.6841 | 0.6255 | 0.5463 |
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+ | 0.6056 | 6.0 | 144 | 0.6594 | 0.7160 | 0.5929 |
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+ | 0.5931 | 7.0 | 168 | 0.6276 | 0.8175 | 0.7434 |
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+ | 0.5769 | 8.0 | 192 | 0.6095 | 0.7805 | 0.6345 |
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+ | 0.5621 | 9.0 | 216 | 0.5912 | 0.8197 | 0.6743 |
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+ | 0.5431 | 10.0 | 240 | 0.5745 | 0.8568 | 0.7837 |
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+ | 0.5264 | 11.0 | 264 | 0.5599 | 0.8599 | 0.7661 |
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+ | 0.5138 | 12.0 | 288 | 0.5102 | 0.8799 | 0.8002 |
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+ | 0.4982 | 13.0 | 312 | 0.5327 | 0.8859 | 0.7199 |
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+ | 0.4885 | 14.0 | 336 | 0.5418 | 0.8999 | 0.7225 |
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+ | 0.4684 | 15.0 | 360 | 0.5488 | 0.8854 | 0.7436 |
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+ | 0.4539 | 16.0 | 384 | 0.4811 | 0.9111 | 0.8367 |
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+ | 0.4451 | 17.0 | 408 | 0.4769 | 0.9188 | 0.8343 |
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+ | 0.4359 | 18.0 | 432 | 0.4694 | 0.9203 | 0.8440 |
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+ | 0.4222 | 19.0 | 456 | 0.4808 | 0.9236 | 0.8215 |
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+ | 0.408 | 20.0 | 480 | 0.4217 | 0.9286 | 0.8658 |
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+ | 0.3967 | 21.0 | 504 | 0.4193 | 0.9276 | 0.8475 |
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+ | 0.386 | 22.0 | 528 | 0.4244 | 0.9214 | 0.8457 |
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+ | 0.3873 | 23.0 | 552 | 0.3868 | 0.9431 | 0.8687 |
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+ | 0.3751 | 24.0 | 576 | 0.3742 | 0.9483 | 0.8873 |
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+ | 0.3679 | 25.0 | 600 | 0.3668 | 0.9478 | 0.8774 |
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+ | 0.3634 | 26.0 | 624 | 0.3732 | 0.9478 | 0.8666 |
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+ | 0.3557 | 27.0 | 648 | 0.3957 | 0.9495 | 0.8681 |
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+ | 0.3421 | 28.0 | 672 | 0.3342 | 0.9467 | 0.8818 |
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+ | 0.3424 | 29.0 | 696 | 0.3314 | 0.9519 | 0.8771 |
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+ | 0.3344 | 30.0 | 720 | 0.3045 | 0.9604 | 0.8935 |
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+ | 0.339 | 31.0 | 744 | 0.3084 | 0.9618 | 0.8988 |
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+ | 0.3238 | 32.0 | 768 | 0.3854 | 0.9584 | 0.8850 |
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+ | 0.3133 | 33.0 | 792 | 0.3031 | 0.9638 | 0.8988 |
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+ | 0.317 | 34.0 | 816 | 0.2811 | 0.9649 | 0.9048 |
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+ | 0.3151 | 35.0 | 840 | 0.2650 | 0.9661 | 0.9088 |
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+ | 0.3137 | 36.0 | 864 | 0.3104 | 0.9647 | 0.8754 |
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+ | 0.307 | 37.0 | 888 | 0.2695 | 0.9697 | 0.9103 |
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+ | 0.306 | 38.0 | 912 | 0.2897 | 0.9628 | 0.8994 |
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+ | 0.2928 | 39.0 | 936 | 0.3111 | 0.9640 | 0.8798 |
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+ | 0.3068 | 40.0 | 960 | 0.2492 | 0.9707 | 0.9126 |
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+ | 0.2963 | 41.0 | 984 | 0.2642 | 0.9703 | 0.9165 |
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+ | 0.2915 | 42.0 | 1008 | 0.2567 | 0.9694 | 0.9141 |
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+ | 0.2951 | 43.0 | 1032 | 0.2470 | 0.9710 | 0.9118 |
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+ | 0.2891 | 44.0 | 1056 | 0.2389 | 0.9718 | 0.9142 |
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+ | 0.2836 | 45.0 | 1080 | 0.2411 | 0.9724 | 0.9172 |
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+ | 0.3091 | 46.0 | 1104 | 0.2401 | 0.9719 | 0.9134 |
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+ | 0.2877 | 47.0 | 1128 | 0.2476 | 0.9712 | 0.9126 |
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+ | 0.2777 | 48.0 | 1152 | 0.2516 | 0.9702 | 0.9110 |
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+ | 0.285 | 49.0 | 1176 | 0.2367 | 0.9732 | 0.9180 |
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+ | 0.2841 | 50.0 | 1200 | 0.2435 | 0.9728 | 0.9110 |
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+ | 0.2809 | 51.0 | 1224 | 0.2388 | 0.9723 | 0.9119 |
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+ | 0.283 | 52.0 | 1248 | 0.2335 | 0.9729 | 0.9165 |
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+ | 0.2946 | 53.0 | 1272 | 0.2365 | 0.9726 | 0.9180 |
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+ | 0.2924 | 54.0 | 1296 | 0.2338 | 0.9734 | 0.9172 |
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+ | 0.289 | 55.0 | 1320 | 0.2333 | 0.9731 | 0.9165 |
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+ | 0.2815 | 56.0 | 1344 | 0.2316 | 0.9737 | 0.9157 |
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+ | 0.2808 | 57.0 | 1368 | 0.2333 | 0.9734 | 0.9157 |
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+ | 0.2961 | 58.0 | 1392 | 0.2332 | 0.9735 | 0.9157 |
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+ | 0.2806 | 59.0 | 1416 | 0.2336 | 0.9730 | 0.9126 |
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+ | 0.274 | 60.0 | 1440 | 0.2321 | 0.9733 | 0.9180 |
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  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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  size 94329848
 
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  size 94329848