elodiesune
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Browse files- README.md +66 -60
- model.safetensors +1 -1
- training_args.bin +1 -1
README.md
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This model is a fine-tuned version of [facebook/esm2_t6_8M_UR50D](https://huggingface.co/facebook/esm2_t6_8M_UR50D) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Rmse: 0.
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- Mae: 0.
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- Spearmanr Corr: 0.
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- Spearmanr Corr P Value: 0.0000
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- Pearsonr Corr: 0.
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- Pearsonr Corr P Value: 0.0000
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- Spearmanr Corr Of Deltas: 0.
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- Spearmanr Corr Of Deltas P Value: 0.0
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- Pearsonr Corr Of Deltas: 0.
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- Pearsonr Corr Of Deltas P Value: 0.0
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- Ranking F1 Score: 0.
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- Ranking Mcc: 0.
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- Rmse Enriched: 0.
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- Mae Enriched: 0.
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- Spearmanr Corr Enriched: 0.
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- Spearmanr Corr Enriched P Value: 0.0000
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- Pearsonr Corr Enriched: 0.
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- Pearsonr Corr Enriched P Value: 0.
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- Spearmanr Corr Of Deltas Enriched: 0.
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- Spearmanr Corr Of Deltas Enriched P Value: 0.0
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- Pearsonr Corr Of Deltas Enriched: 0.
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- Pearsonr Corr Of Deltas Enriched P Value: 0.
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- Ranking F1 Score Enriched: 0.
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- Ranking Mcc Enriched: 0.
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- Classification Thresh: 0.
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- Mcc: 0.
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- F1 Score: 0.
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- Acc: 0.
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- Auc: 0.
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- Precision: 0.
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- Recall: 0.
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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| Training Loss | Epoch | Step | Validation Loss | Rmse | Mae | Spearmanr Corr | Spearmanr Corr P Value | Pearsonr Corr | Pearsonr Corr P Value | Spearmanr Corr Of Deltas | Spearmanr Corr Of Deltas P Value | Pearsonr Corr Of Deltas | Pearsonr Corr Of Deltas P Value | Ranking F1 Score | Ranking Mcc | Rmse Enriched | Mae Enriched | Spearmanr Corr Enriched | Spearmanr Corr Enriched P Value | Pearsonr Corr Enriched | Pearsonr Corr Enriched P Value | Spearmanr Corr Of Deltas Enriched | Spearmanr Corr Of Deltas Enriched P Value | Pearsonr Corr Of Deltas Enriched | Pearsonr Corr Of Deltas Enriched P Value | Ranking F1 Score Enriched | Ranking Mcc Enriched | Classification Thresh | Mcc | F1 Score | Acc | Auc | Precision | Recall |
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|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:--------------:|:----------------------:|:-------------:|:---------------------:|:------------------------:|:--------------------------------:|:-----------------------:|:-------------------------------:|:----------------:|:-----------:|:-------------:|:------------:|:-----------------------:|:-------------------------------:|:----------------------:|:------------------------------:|:---------------------------------:|:-----------------------------------------:|:--------------------------------:|:----------------------------------------:|:-------------------------:|:--------------------:|:---------------------:|:------:|:--------:|:------:|:------:|:---------:|:------:|
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### Framework versions
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This model is a fine-tuned version of [facebook/esm2_t6_8M_UR50D](https://huggingface.co/facebook/esm2_t6_8M_UR50D) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0111
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- Rmse: 0.3306
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- Mae: 0.2493
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- Spearmanr Corr: 0.8522
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- Spearmanr Corr P Value: 0.0000
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- Pearsonr Corr: 0.9108
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- Pearsonr Corr P Value: 0.0000
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- Spearmanr Corr Of Deltas: 0.8703
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- Spearmanr Corr Of Deltas P Value: 0.0
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- Pearsonr Corr Of Deltas: 0.9104
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- Pearsonr Corr Of Deltas P Value: 0.0
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- Ranking F1 Score: 0.7710
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- Ranking Mcc: 0.6081
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- Rmse Enriched: 0.1210
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- Mae Enriched: 0.0675
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- Spearmanr Corr Enriched: 0.5778
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- Spearmanr Corr Enriched P Value: 0.0000
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- Pearsonr Corr Enriched: 0.1383
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- Pearsonr Corr Enriched P Value: 0.0082
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- Spearmanr Corr Of Deltas Enriched: 0.5093
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- Spearmanr Corr Of Deltas Enriched P Value: 0.0
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- Pearsonr Corr Of Deltas Enriched: 0.1388
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- Pearsonr Corr Of Deltas Enriched P Value: 0.0000
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- Ranking F1 Score Enriched: 0.6722
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- Ranking Mcc Enriched: 0.4113
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- Classification Thresh: 0.3
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- Mcc: 0.8926
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- F1 Score: 0.9499
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- Acc: 0.9463
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- Auc: 0.9778
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- Precision: 0.9451
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- Recall: 0.9475
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.001
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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| Training Loss | Epoch | Step | Validation Loss | Rmse | Mae | Spearmanr Corr | Spearmanr Corr P Value | Pearsonr Corr | Pearsonr Corr P Value | Spearmanr Corr Of Deltas | Spearmanr Corr Of Deltas P Value | Pearsonr Corr Of Deltas | Pearsonr Corr Of Deltas P Value | Ranking F1 Score | Ranking Mcc | Rmse Enriched | Mae Enriched | Spearmanr Corr Enriched | Spearmanr Corr Enriched P Value | Pearsonr Corr Enriched | Pearsonr Corr Enriched P Value | Spearmanr Corr Of Deltas Enriched | Spearmanr Corr Of Deltas Enriched P Value | Pearsonr Corr Of Deltas Enriched | Pearsonr Corr Of Deltas Enriched P Value | Ranking F1 Score Enriched | Ranking Mcc Enriched | Classification Thresh | Mcc | F1 Score | Acc | Auc | Precision | Recall |
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|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:--------------:|:----------------------:|:-------------:|:---------------------:|:------------------------:|:--------------------------------:|:-----------------------:|:-------------------------------:|:----------------:|:-----------:|:-------------:|:------------:|:-----------------------:|:-------------------------------:|:----------------------:|:------------------------------:|:---------------------------------:|:-----------------------------------------:|:--------------------------------:|:----------------------------------------:|:-------------------------:|:--------------------:|:---------------------:|:------:|:--------:|:------:|:------:|:---------:|:------:|
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| 0.038 | 1.0 | 335 | 0.0209 | 0.3315 | 0.2524 | 0.8158 | 0.0000 | 0.8282 | 0.0000 | 0.7984 | 0.0 | 0.8274 | 0.0 | 0.7496 | 0.5671 | 0.1044 | 0.0512 | 0.5212 | 0.0000 | 0.1479 | 0.0046 | 0.4274 | 0.0 | 0.1481 | 0.0000 | 0.6431 | 0.3596 | 0.3 | 0.8185 | 0.9198 | 0.9090 | 0.9573 | 0.9145 | 0.9040 |
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| 0.0245 | 2.0 | 670 | 0.0145 | 0.3226 | 0.2470 | 0.8075 | 0.0000 | 0.8774 | 0.0000 | 0.8309 | 0.0 | 0.8769 | 0.0 | 0.7425 | 0.5536 | 0.1099 | 0.0566 | 0.3775 | 0.0000 | 0.1397 | 0.0075 | 0.3448 | 0.0 | 0.1396 | 0.0000 | 0.5868 | 0.2564 | 0.3 | 0.8585 | 0.9361 | 0.9299 | 0.9686 | 0.9299 | 0.9286 |
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| 0.0182 | 3.0 | 1005 | 0.0150 | 0.3305 | 0.2520 | 0.8266 | 0.0000 | 0.8710 | 0.0000 | 0.8456 | 0.0 | 0.8705 | 0.0 | 0.7519 | 0.5715 | 0.1311 | 0.0681 | 0.4981 | 0.0000 | 0.1616 | 0.0019 | 0.3962 | 0.0 | 0.1615 | 0.0 | 0.6348 | 0.3449 | 0.3 | 0.8592 | 0.9348 | 0.9299 | 0.9679 | 0.9287 | 0.9305 |
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| 0.0182 | 4.0 | 1340 | 0.0168 | 0.3479 | 0.2560 | 0.8355 | 0.0000 | 0.8663 | 0.0000 | 0.8395 | 0.0 | 0.8657 | 0.0 | 0.7545 | 0.5765 | 0.0995 | 0.0415 | 0.5134 | 0.0000 | 0.1067 | 0.0417 | 0.4565 | 0.0 | 0.1074 | 0.0000 | 0.6363 | 0.3490 | 0.3 | 0.8418 | 0.9298 | 0.9209 | 0.9732 | 0.925 | 0.9169 |
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| 0.016 | 5.0 | 1675 | 0.0161 | 0.3140 | 0.2513 | 0.8407 | 0.0000 | 0.8933 | 0.0000 | 0.8636 | 0.0 | 0.8929 | 0.0 | 0.7598 | 0.5867 | 0.1561 | 0.1224 | 0.5345 | 0.0000 | 0.2082 | 0.0001 | 0.4651 | 0.0 | 0.2087 | 0.0 | 0.6463 | 0.3658 | 0.2 | 0.8828 | 0.9464 | 0.9418 | 0.9746 | 0.9410 | 0.9417 |
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| 0.0165 | 6.0 | 2010 | 0.0130 | 0.3258 | 0.2485 | 0.8377 | 0.0000 | 0.8901 | 0.0000 | 0.8557 | 0.0 | 0.8896 | 0.0 | 0.7571 | 0.5816 | 0.1145 | 0.0628 | 0.4912 | 0.0000 | 0.1737 | 0.0009 | 0.4237 | 0.0 | 0.1743 | 0.0 | 0.6328 | 0.3385 | 0.2 | 0.8617 | 0.9380 | 0.9313 | 0.9774 | 0.9325 | 0.9292 |
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| 0.015 | 7.0 | 2345 | 0.0115 | 0.3478 | 0.2582 | 0.8443 | 0.0000 | 0.9082 | 0.0000 | 0.8633 | 0.0 | 0.9078 | 0.0 | 0.7631 | 0.5928 | 0.1256 | 0.0575 | 0.5489 | 0.0000 | 0.1400 | 0.0074 | 0.4376 | 0.0 | 0.1408 | 0.0000 | 0.6547 | 0.3820 | 0.2 | 0.8979 | 0.9532 | 0.9493 | 0.9755 | 0.9485 | 0.9494 |
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| 0.0161 | 8.0 | 2680 | 0.0131 | 0.3262 | 0.2470 | 0.8447 | 0.0000 | 0.8908 | 0.0000 | 0.8638 | 0.0 | 0.8903 | 0.0 | 0.7637 | 0.5940 | 0.1046 | 0.0477 | 0.5252 | 0.0000 | 0.1337 | 0.0106 | 0.4596 | 0.0 | 0.1344 | 0.0000 | 0.6426 | 0.3571 | 0.4 | 0.8862 | 0.9474 | 0.9433 | 0.9788 | 0.9423 | 0.9439 |
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| 0.0143 | 9.0 | 3015 | 0.0124 | 0.3131 | 0.2477 | 0.8564 | 0.0000 | 0.9061 | 0.0000 | 0.8713 | 0.0 | 0.9057 | 0.0 | 0.7723 | 0.6103 | 0.1166 | 0.0766 | 0.6197 | 0.0000 | 0.1191 | 0.0229 | 0.5005 | 0.0 | 0.1197 | 0.0000 | 0.6849 | 0.4376 | 0.2 | 0.8856 | 0.9482 | 0.9433 | 0.9762 | 0.9433 | 0.9423 |
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| 0.0147 | 10.0 | 3350 | 0.0120 | 0.3388 | 0.2528 | 0.8504 | 0.0000 | 0.9032 | 0.0000 | 0.8649 | 0.0 | 0.9028 | 0.0 | 0.7674 | 0.6009 | 0.1253 | 0.0623 | 0.5835 | 0.0000 | 0.1332 | 0.0108 | 0.4718 | 0.0 | 0.1338 | 0.0000 | 0.6686 | 0.4078 | 0.2 | 0.8827 | 0.9465 | 0.9418 | 0.9754 | 0.9412 | 0.9415 |
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| 0.014 | 11.0 | 3685 | 0.0151 | 0.3394 | 0.2509 | 0.8267 | 0.0000 | 0.8718 | 0.0000 | 0.8449 | 0.0 | 0.8713 | 0.0 | 0.7517 | 0.5711 | 0.1322 | 0.0565 | 0.4668 | 0.0000 | 0.1225 | 0.0192 | 0.3979 | 0.0 | 0.1223 | 0.0000 | 0.6187 | 0.3171 | 0.3 | 0.8509 | 0.9302 | 0.9254 | 0.9720 | 0.9242 | 0.9267 |
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| 0.0162 | 12.0 | 4020 | 0.0125 | 0.3347 | 0.2483 | 0.8461 | 0.0000 | 0.8945 | 0.0000 | 0.8537 | 0.0 | 0.8940 | 0.0 | 0.7631 | 0.5929 | 0.1150 | 0.0537 | 0.5391 | 0.0000 | 0.1000 | 0.0562 | 0.4447 | 0.0 | 0.1007 | 0.0000 | 0.6500 | 0.3694 | 0.3 | 0.8829 | 0.9462 | 0.9418 | 0.9779 | 0.9409 | 0.9420 |
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| 0.0162 | 13.0 | 4355 | 0.0165 | 0.3158 | 0.2495 | 0.8230 | 0.0000 | 0.8684 | 0.0000 | 0.8456 | 0.0 | 0.8680 | 0.0 | 0.7492 | 0.5664 | 0.1513 | 0.1012 | 0.4649 | 0.0000 | 0.1911 | 0.0002 | 0.3978 | 0.0 | 0.1908 | 0.0 | 0.6176 | 0.3108 | 0.1 | 0.8620 | 0.9383 | 0.9313 | 0.9694 | 0.9334 | 0.9286 |
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| 0.0149 | 14.0 | 4690 | 0.0118 | 0.3240 | 0.2506 | 0.8240 | 0.0000 | 0.9063 | 0.0000 | 0.8565 | 0.0 | 0.9058 | 0.0 | 0.7520 | 0.5717 | 0.1088 | 0.0547 | 0.4151 | 0.0000 | 0.1528 | 0.0034 | 0.3628 | 0.0 | 0.1530 | 0.0 | 0.6027 | 0.2809 | 0.2 | 0.8917 | 0.9507 | 0.9463 | 0.9773 | 0.9458 | 0.9458 |
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| 0.0131 | 15.0 | 5025 | 0.0118 | 0.3238 | 0.2501 | 0.8574 | 0.0000 | 0.9031 | 0.0000 | 0.8767 | 0.0 | 0.9027 | 0.0 | 0.7724 | 0.6110 | 0.1250 | 0.0702 | 0.6054 | 0.0000 | 0.1976 | 0.0001 | 0.4866 | 0.0 | 0.1974 | 0.0 | 0.6779 | 0.4211 | 0.2 | 0.8949 | 0.9517 | 0.9478 | 0.9783 | 0.9469 | 0.9480 |
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| 0.0131 | 16.0 | 5360 | 0.0130 | 0.3150 | 0.2469 | 0.8498 | 0.0000 | 0.8979 | 0.0000 | 0.8552 | 0.0 | 0.8974 | 0.0 | 0.7671 | 0.6003 | 0.1060 | 0.0659 | 0.5602 | 0.0000 | 0.1186 | 0.0235 | 0.4725 | 0.0 | 0.1190 | 0.0000 | 0.6586 | 0.3893 | 0.2 | 0.8561 | 0.9358 | 0.9284 | 0.9785 | 0.9308 | 0.9254 |
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| 0.0137 | 17.0 | 5695 | 0.0129 | 0.3380 | 0.2502 | 0.8438 | 0.0000 | 0.8905 | 0.0000 | 0.8597 | 0.0 | 0.8900 | 0.0 | 0.7604 | 0.5879 | 0.1175 | 0.0539 | 0.5465 | 0.0000 | 0.1454 | 0.0054 | 0.4599 | 0.0 | 0.1458 | 0.0000 | 0.6494 | 0.3709 | 0.2 | 0.8736 | 0.9426 | 0.9373 | 0.9754 | 0.9370 | 0.9365 |
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| 0.0137 | 18.0 | 6030 | 0.0132 | 0.3250 | 0.2464 | 0.8467 | 0.0000 | 0.8891 | 0.0000 | 0.8493 | 0.0 | 0.8886 | 0.0 | 0.7603 | 0.5875 | 0.1005 | 0.0494 | 0.5406 | 0.0000 | 0.0979 | 0.0616 | 0.4716 | 0.0 | 0.0986 | 0.0000 | 0.6487 | 0.3743 | 0.3 | 0.8767 | 0.9447 | 0.9388 | 0.9786 | 0.9399 | 0.9368 |
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| 0.0146 | 19.0 | 6365 | 0.0102 | 0.3318 | 0.2495 | 0.8438 | 0.0000 | 0.9145 | 0.0000 | 0.8632 | 0.0 | 0.9141 | 0.0 | 0.7637 | 0.5940 | 0.1105 | 0.0537 | 0.5224 | 0.0000 | 0.1566 | 0.0027 | 0.4352 | 0.0 | 0.1568 | 0.0 | 0.6453 | 0.3639 | 0.2 | 0.9158 | 0.9615 | 0.9582 | 0.9783 | 0.9577 | 0.9581 |
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| 0.014 | 20.0 | 6700 | 0.0123 | 0.3263 | 0.2479 | 0.8477 | 0.0000 | 0.8972 | 0.0000 | 0.8622 | 0.0 | 0.8967 | 0.0 | 0.7682 | 0.6022 | 0.1180 | 0.0612 | 0.5451 | 0.0000 | 0.1459 | 0.0052 | 0.4474 | 0.0 | 0.1468 | 0.0000 | 0.6527 | 0.3791 | 0.2 | 0.8766 | 0.9439 | 0.9388 | 0.9785 | 0.9384 | 0.9382 |
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| 0.0132 | 21.0 | 7035 | 0.0110 | 0.3425 | 0.2555 | 0.8511 | 0.0000 | 0.9090 | 0.0000 | 0.8671 | 0.0 | 0.9086 | 0.0 | 0.7689 | 0.6039 | 0.1058 | 0.0504 | 0.5635 | 0.0000 | 0.1368 | 0.0089 | 0.4661 | 0.0 | 0.1372 | 0.0000 | 0.6556 | 0.3808 | 0.2 | 0.8916 | 0.9510 | 0.9463 | 0.9791 | 0.9463 | 0.9453 |
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| 0.0121 | 22.0 | 7370 | 0.0121 | 0.3345 | 0.2509 | 0.8548 | 0.0000 | 0.9004 | 0.0000 | 0.8649 | 0.0 | 0.8999 | 0.0 | 0.7736 | 0.6126 | 0.1201 | 0.0630 | 0.5958 | 0.0000 | 0.1415 | 0.0068 | 0.5002 | 0.0 | 0.1421 | 0.0000 | 0.6788 | 0.4265 | 0.2 | 0.8827 | 0.9465 | 0.9418 | 0.9777 | 0.9412 | 0.9415 |
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| 0.0127 | 23.0 | 7705 | 0.0121 | 0.3290 | 0.2501 | 0.8416 | 0.0000 | 0.9051 | 0.0000 | 0.8652 | 0.0 | 0.9047 | 0.0 | 0.7622 | 0.5912 | 0.1298 | 0.0773 | 0.5242 | 0.0000 | 0.1694 | 0.0012 | 0.4502 | 0.0 | 0.1701 | 0.0 | 0.6456 | 0.3641 | 0.3 | 0.8960 | 0.9510 | 0.9478 | 0.9768 | 0.9467 | 0.9494 |
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| 0.0124 | 24.0 | 8040 | 0.0114 | 0.3410 | 0.2521 | 0.8606 | 0.0000 | 0.9044 | 0.0000 | 0.8724 | 0.0 | 0.9040 | 0.0 | 0.7773 | 0.6195 | 0.1134 | 0.0500 | 0.6115 | 0.0000 | 0.1403 | 0.0073 | 0.5075 | 0.0 | 0.1409 | 0.0000 | 0.6787 | 0.4268 | 0.2 | 0.8887 | 0.9492 | 0.9448 | 0.9799 | 0.9442 | 0.9445 |
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| 0.0124 | 25.0 | 8375 | 0.0125 | 0.3433 | 0.2569 | 0.8541 | 0.0000 | 0.9005 | 0.0000 | 0.8656 | 0.0 | 0.9001 | 0.0 | 0.7684 | 0.6032 | 0.1213 | 0.0604 | 0.5910 | 0.0000 | 0.1409 | 0.0070 | 0.4780 | 0.0 | 0.1412 | 0.0000 | 0.6702 | 0.4086 | 0.1 | 0.8737 | 0.9432 | 0.9373 | 0.9775 | 0.9382 | 0.9355 |
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| 0.0132 | 26.0 | 8710 | 0.0140 | 0.3280 | 0.2488 | 0.8406 | 0.0000 | 0.8811 | 0.0000 | 0.8502 | 0.0 | 0.8805 | 0.0 | 0.7646 | 0.5959 | 0.1100 | 0.0637 | 0.5411 | 0.0000 | 0.1550 | 0.0030 | 0.4777 | 0.0 | 0.1553 | 0.0 | 0.6539 | 0.3757 | 0.2 | 0.8503 | 0.9333 | 0.9254 | 0.9738 | 0.9282 | 0.9221 |
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| 0.0145 | 27.0 | 9045 | 0.0135 | 0.3307 | 0.2494 | 0.8445 | 0.0000 | 0.8862 | 0.0000 | 0.8564 | 0.0 | 0.8857 | 0.0 | 0.7652 | 0.5969 | 0.1328 | 0.0676 | 0.5786 | 0.0000 | 0.1629 | 0.0018 | 0.4697 | 0.0 | 0.1628 | 0.0 | 0.6666 | 0.4034 | 0.1 | 0.8706 | 0.9418 | 0.9358 | 0.9718 | 0.9365 | 0.9341 |
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113 |
+
| 0.0125 | 28.0 | 9380 | 0.0212 | 0.3222 | 0.2533 | 0.8398 | 0.0000 | 0.8542 | 0.0000 | 0.8541 | 0.0 | 0.8535 | 0.0 | 0.7620 | 0.5907 | 0.1959 | 0.1420 | 0.5024 | 0.0000 | 0.2541 | 0.0000 | 0.4328 | 0.0 | 0.2539 | 0.0 | 0.6354 | 0.3445 | 0.1 | 0.8777 | 0.9428 | 0.9388 | 0.9783 | 0.9377 | 0.9401 |
|
114 |
+
| 0.0152 | 29.0 | 9715 | 0.0128 | 0.3229 | 0.2477 | 0.8454 | 0.0000 | 0.8933 | 0.0000 | 0.8586 | 0.0 | 0.8928 | 0.0 | 0.7656 | 0.5975 | 0.1134 | 0.0639 | 0.5512 | 0.0000 | 0.1683 | 0.0012 | 0.4725 | 0.0 | 0.1687 | 0.0 | 0.6538 | 0.3816 | 0.2 | 0.8738 | 0.9434 | 0.9373 | 0.9757 | 0.9386 | 0.9352 |
|
115 |
+
| 0.0117 | 30.0 | 10050 | 0.0136 | 0.3341 | 0.2490 | 0.8443 | 0.0000 | 0.8882 | 0.0000 | 0.8529 | 0.0 | 0.8877 | 0.0 | 0.7634 | 0.5933 | 0.0941 | 0.0371 | 0.5213 | 0.0000 | 0.1168 | 0.0256 | 0.4651 | 0.0 | 0.1173 | 0.0000 | 0.6432 | 0.3612 | 0.3 | 0.8676 | 0.9405 | 0.9343 | 0.9789 | 0.9352 | 0.9325 |
|
116 |
+
| 0.011 | 31.0 | 10385 | 0.0158 | 0.3293 | 0.2543 | 0.8330 | 0.0000 | 0.8818 | 0.0000 | 0.8491 | 0.0 | 0.8812 | 0.0 | 0.7580 | 0.5833 | 0.1442 | 0.1010 | 0.5286 | 0.0000 | 0.1291 | 0.0136 | 0.4536 | 0.0 | 0.1297 | 0.0000 | 0.6454 | 0.3616 | 0.2 | 0.8675 | 0.9399 | 0.9343 | 0.9701 | 0.9340 | 0.9335 |
|
117 |
+
| 0.0145 | 32.0 | 10720 | 0.0126 | 0.3373 | 0.2508 | 0.8394 | 0.0000 | 0.8927 | 0.0000 | 0.8549 | 0.0 | 0.8923 | 0.0 | 0.7615 | 0.5898 | 0.1046 | 0.0478 | 0.5271 | 0.0000 | 0.1537 | 0.0032 | 0.4602 | 0.0 | 0.1539 | 0.0 | 0.6463 | 0.3637 | 0.3 | 0.8766 | 0.9441 | 0.9388 | 0.9749 | 0.9387 | 0.9379 |
|
118 |
+
| 0.012 | 33.0 | 11055 | 0.0132 | 0.3342 | 0.2503 | 0.8562 | 0.0000 | 0.8886 | 0.0000 | 0.8727 | 0.0 | 0.8881 | 0.0 | 0.7737 | 0.6129 | 0.1347 | 0.0668 | 0.6093 | 0.0000 | 0.1682 | 0.0013 | 0.4913 | 0.0 | 0.1686 | 0.0 | 0.6799 | 0.4291 | 0.1 | 0.8858 | 0.9477 | 0.9433 | 0.9774 | 0.9425 | 0.9434 |
|
119 |
+
| 0.0113 | 34.0 | 11390 | 0.0111 | 0.3364 | 0.2489 | 0.8561 | 0.0000 | 0.9062 | 0.0000 | 0.8695 | 0.0 | 0.9058 | 0.0 | 0.7718 | 0.6095 | 0.1158 | 0.0502 | 0.5813 | 0.0000 | 0.1314 | 0.0120 | 0.4868 | 0.0 | 0.1320 | 0.0000 | 0.6684 | 0.4049 | 0.2 | 0.8918 | 0.9504 | 0.9463 | 0.9804 | 0.9455 | 0.9464 |
|
120 |
+
| 0.0113 | 35.0 | 11725 | 0.0118 | 0.3413 | 0.2542 | 0.8545 | 0.0000 | 0.9031 | 0.0000 | 0.8657 | 0.0 | 0.9026 | 0.0 | 0.7723 | 0.6105 | 0.1042 | 0.0460 | 0.5860 | 0.0000 | 0.1317 | 0.0118 | 0.4950 | 0.0 | 0.1321 | 0.0000 | 0.6731 | 0.4123 | 0.2 | 0.8856 | 0.9482 | 0.9433 | 0.9784 | 0.9433 | 0.9423 |
|
121 |
+
| 0.0099 | 36.0 | 12060 | 0.0122 | 0.3514 | 0.2605 | 0.8461 | 0.0000 | 0.9016 | 0.0000 | 0.8687 | 0.0 | 0.9012 | 0.0 | 0.7696 | 0.6051 | 0.1288 | 0.0645 | 0.5650 | 0.0000 | 0.1560 | 0.0028 | 0.4806 | 0.0 | 0.1566 | 0.0 | 0.6647 | 0.3975 | 0.2 | 0.8986 | 0.9526 | 0.9493 | 0.9758 | 0.9481 | 0.9505 |
|
122 |
+
| 0.0113 | 37.0 | 12395 | 0.0127 | 0.3301 | 0.2495 | 0.8422 | 0.0000 | 0.8980 | 0.0000 | 0.8641 | 0.0 | 0.8975 | 0.0 | 0.7670 | 0.6000 | 0.1362 | 0.0761 | 0.5706 | 0.0000 | 0.1543 | 0.0031 | 0.4834 | 0.0 | 0.1546 | 0.0 | 0.6673 | 0.4070 | 0.2 | 0.8869 | 0.9469 | 0.9433 | 0.9716 | 0.9422 | 0.9447 |
|
123 |
+
| 0.01 | 38.0 | 12730 | 0.0115 | 0.3294 | 0.2480 | 0.8506 | 0.0000 | 0.9036 | 0.0000 | 0.8639 | 0.0 | 0.9032 | 0.0 | 0.7680 | 0.6028 | 0.1084 | 0.0467 | 0.5947 | 0.0000 | 0.1379 | 0.0083 | 0.5140 | 0.0 | 0.1382 | 0.0000 | 0.6786 | 0.4224 | 0.3 | 0.8953 | 0.9515 | 0.9478 | 0.9746 | 0.9467 | 0.9486 |
|
124 |
+
| 0.0107 | 39.0 | 13065 | 0.0111 | 0.3306 | 0.2493 | 0.8522 | 0.0000 | 0.9108 | 0.0000 | 0.8703 | 0.0 | 0.9104 | 0.0 | 0.7710 | 0.6081 | 0.1210 | 0.0675 | 0.5778 | 0.0000 | 0.1383 | 0.0082 | 0.5093 | 0.0 | 0.1388 | 0.0000 | 0.6722 | 0.4113 | 0.3 | 0.8926 | 0.9499 | 0.9463 | 0.9778 | 0.9451 | 0.9475 |
|
125 |
|
126 |
|
127 |
### Framework versions
|
model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 31374504
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9acc318e4466c494916ee129a9e7fdffef8d21174bfdb93fe4740ecd3dd32188
|
3 |
size 31374504
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 5304
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1689c000800f072a29aaa75dfc834ed916fdf091865edba14606af61d6bf7fe1
|
3 |
size 5304
|