Model save
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- 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: 0.
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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: 0.0118
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- Rmse: 0.3443
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- Mae: 0.2527
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- Spearmanr Corr: 0.8270
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- Spearmanr Corr P Value: 0.0000
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- Pearsonr Corr: 0.9022
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- Pearsonr Corr P Value: 0.0000
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- Spearmanr Corr Of Deltas: 0.8557
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- Spearmanr Corr Of Deltas P Value: 0.0
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- Pearsonr Corr Of Deltas: 0.9018
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- Pearsonr Corr Of Deltas P Value: 0.0
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- Ranking F1 Score: 0.7557
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- Ranking Mcc: 0.5784
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- Rmse Enriched: 0.1268
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- Mae Enriched: 0.0534
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- Spearmanr Corr Enriched: 0.4496
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- Spearmanr Corr Enriched P Value: 0.0000
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- Pearsonr Corr Enriched: 0.1315
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- Pearsonr Corr Enriched P Value: 0.0119
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- Spearmanr Corr Of Deltas Enriched: 0.4127
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- Spearmanr Corr Of Deltas Enriched P Value: 0.0
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- Pearsonr Corr Of Deltas Enriched: 0.1320
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- Pearsonr Corr Of Deltas Enriched P Value: 0.0000
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- Ranking F1 Score Enriched: 0.6146
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- Ranking Mcc Enriched: 0.3098
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- Classification Thresh: 0.1
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- Mcc: 0.8949
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- F1 Score: 0.9517
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- Acc: 0.9478
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- Auc: 0.9733
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- Precision: 0.9469
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- Recall: 0.9480
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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: 0.0003
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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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| 0.0368 | 1.0 | 335 | 0.0239 | 0.3395 | 0.2614 | 0.8390 | 0.0000 | 0.8381 | 0.0000 | 0.8097 | 0.0 | 0.8374 | 0.0 | 0.7584 | 0.5839 | 0.0925 | 0.0549 | 0.5519 | 0.0000 | 0.1172 | 0.0251 | 0.4781 | 0.0 | 0.1176 | 0.0000 | 0.6553 | 0.3844 | 0.4 | 0.8355 | 0.9270 | 0.9179 | 0.9705 | 0.9214 | 0.9141 |
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| 0.0191 | 2.0 | 670 | 0.0173 | 0.3249 | 0.2465 | 0.7892 | 0.0000 | 0.8535 | 0.0000 | 0.8145 | 0.0 | 0.8528 | 0.0 | 0.7266 | 0.5233 | 0.1084 | 0.0489 | 0.2940 | 0.0000 | 0.1205 | 0.0213 | 0.3037 | 0.0 | 0.1208 | 0.0000 | 0.5487 | 0.1942 | 0.3 | 0.8223 | 0.9199 | 0.9119 | 0.9666 | 0.9120 | 0.9103 |
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| 0.0162 | 3.0 | 1005 | 0.0138 | 0.3270 | 0.2500 | 0.8416 | 0.0000 | 0.8937 | 0.0000 | 0.8491 | 0.0 | 0.8933 | 0.0 | 0.7589 | 0.5849 | 0.0967 | 0.0423 | 0.5222 | 0.0000 | 0.1219 | 0.0198 | 0.4401 | 0.0 | 0.1222 | 0.0000 | 0.6407 | 0.3548 | 0.3 | 0.8706 | 0.9412 | 0.9358 | 0.9761 | 0.9354 | 0.9352 |
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| 0.0158 | 4.0 | 1340 | 0.0123 | 0.3362 | 0.2517 | 0.8412 | 0.0000 | 0.8971 | 0.0000 | 0.8542 | 0.0 | 0.8967 | 0.0 | 0.7588 | 0.5844 | 0.1129 | 0.0575 | 0.5069 | 0.0000 | 0.1366 | 0.0090 | 0.4247 | 0.0 | 0.1375 | 0.0000 | 0.6356 | 0.3529 | 0.2 | 0.8827 | 0.9472 | 0.9418 | 0.9785 | 0.9426 | 0.9401 |
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| 0.0142 | 5.0 | 1675 | 0.0168 | 0.3146 | 0.2517 | 0.8398 | 0.0000 | 0.8908 | 0.0000 | 0.8678 | 0.0 | 0.8904 | 0.0 | 0.7585 | 0.5843 | 0.1673 | 0.1280 | 0.5514 | 0.0000 | 0.1956 | 0.0002 | 0.4590 | 0.0 | 0.1955 | 0.0 | 0.6535 | 0.3791 | 0.1 | 0.8888 | 0.9491 | 0.9448 | 0.9715 | 0.9441 | 0.9447 |
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| 0.0137 | 6.0 | 2010 | 0.0106 | 0.3371 | 0.2508 | 0.8554 | 0.0000 | 0.9120 | 0.0000 | 0.8749 | 0.0 | 0.9116 | 0.0 | 0.7667 | 0.6000 | 0.1186 | 0.0571 | 0.5721 | 0.0000 | 0.1610 | 0.0020 | 0.4929 | 0.0 | 0.1620 | 0.0 | 0.6663 | 0.4042 | 0.3 | 0.9042 | 0.9557 | 0.9522 | 0.9813 | 0.9512 | 0.9529 |
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| 0.0125 | 7.0 | 2345 | 0.0104 | 0.3384 | 0.2506 | 0.8486 | 0.0000 | 0.9126 | 0.0000 | 0.8697 | 0.0 | 0.9122 | 0.0 | 0.7664 | 0.5992 | 0.1090 | 0.0470 | 0.5953 | 0.0000 | 0.1442 | 0.0058 | 0.5055 | 0.0 | 0.1449 | 0.0000 | 0.6775 | 0.4255 | 0.3 | 0.9009 | 0.9545 | 0.9507 | 0.9729 | 0.9499 | 0.9510 |
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| 0.0146 | 8.0 | 2680 | 0.0110 | 0.3377 | 0.2511 | 0.8541 | 0.0000 | 0.9087 | 0.0000 | 0.8764 | 0.0 | 0.9083 | 0.0 | 0.7670 | 0.6003 | 0.1227 | 0.0602 | 0.5695 | 0.0000 | 0.1724 | 0.0009 | 0.4932 | 0.0 | 0.1730 | 0.0 | 0.6632 | 0.3971 | 0.3 | 0.8897 | 0.9484 | 0.9448 | 0.9804 | 0.9436 | 0.9461 |
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| 0.012 | 9.0 | 3015 | 0.0127 | 0.3163 | 0.2479 | 0.8394 | 0.0000 | 0.9007 | 0.0000 | 0.8577 | 0.0 | 0.9002 | 0.0 | 0.7559 | 0.5792 | 0.1152 | 0.0755 | 0.5027 | 0.0000 | 0.1354 | 0.0096 | 0.4798 | 0.0 | 0.1361 | 0.0000 | 0.6357 | 0.3501 | 0.4 | 0.8967 | 0.9508 | 0.9478 | 0.9777 | 0.9468 | 0.9499 |
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| 0.0132 | 10.0 | 3350 | 0.0112 | 0.3392 | 0.2526 | 0.8414 | 0.0000 | 0.9081 | 0.0000 | 0.8693 | 0.0 | 0.9077 | 0.0 | 0.7602 | 0.5871 | 0.1302 | 0.0666 | 0.4997 | 0.0000 | 0.1768 | 0.0007 | 0.4451 | 0.0 | 0.1778 | 0.0 | 0.6333 | 0.3425 | 0.1 | 0.9039 | 0.9559 | 0.9522 | 0.9795 | 0.9515 | 0.9524 |
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| 0.0123 | 11.0 | 3685 | 0.0125 | 0.3436 | 0.2536 | 0.8421 | 0.0000 | 0.8961 | 0.0000 | 0.8602 | 0.0 | 0.8957 | 0.0 | 0.7628 | 0.5924 | 0.1236 | 0.0551 | 0.5778 | 0.0000 | 0.1610 | 0.0020 | 0.5033 | 0.0 | 0.1612 | 0.0 | 0.6673 | 0.4044 | 0.2 | 0.8886 | 0.9495 | 0.9448 | 0.9699 | 0.9447 | 0.9439 |
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| 0.0113 | 12.0 | 4020 | 0.0157 | 0.3234 | 0.2460 | 0.8069 | 0.0000 | 0.8683 | 0.0000 | 0.8269 | 0.0 | 0.8678 | 0.0 | 0.7382 | 0.5454 | 0.0965 | 0.0477 | 0.3508 | 0.0000 | 0.1291 | 0.0136 | 0.3726 | 0.0 | 0.1293 | 0.0000 | 0.5735 | 0.2320 | 0.4 | 0.8796 | 0.9452 | 0.9403 | 0.9723 | 0.9398 | 0.9398 |
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| 0.0128 | 13.0 | 4355 | 0.0117 | 0.3242 | 0.2487 | 0.8498 | 0.0000 | 0.9067 | 0.0000 | 0.8684 | 0.0 | 0.9063 | 0.0 | 0.7653 | 0.5971 | 0.1212 | 0.0738 | 0.5620 | 0.0000 | 0.1619 | 0.0019 | 0.5158 | 0.0 | 0.1624 | 0.0 | 0.6634 | 0.4001 | 0.2 | 0.8948 | 0.9519 | 0.9478 | 0.9779 | 0.9471 | 0.9477 |
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| 0.0107 | 14.0 | 4690 | 0.0108 | 0.3258 | 0.2483 | 0.8382 | 0.0000 | 0.9126 | 0.0000 | 0.8626 | 0.0 | 0.9122 | 0.0 | 0.7560 | 0.5795 | 0.1035 | 0.0497 | 0.4962 | 0.0000 | 0.1673 | 0.0013 | 0.4627 | 0.0 | 0.1678 | 0.0 | 0.6294 | 0.3338 | 0.3 | 0.9071 | 0.9571 | 0.9537 | 0.9771 | 0.9528 | 0.9543 |
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| 0.0125 | 15.0 | 5025 | 0.0132 | 0.3195 | 0.2505 | 0.8460 | 0.0000 | 0.9089 | 0.0000 | 0.8722 | 0.0 | 0.9085 | 0.0 | 0.7629 | 0.5930 | 0.1381 | 0.1020 | 0.5664 | 0.0000 | 0.1496 | 0.0042 | 0.5031 | 0.0 | 0.1502 | 0.0 | 0.6655 | 0.3981 | 0.3 | 0.9046 | 0.9554 | 0.9522 | 0.9739 | 0.9511 | 0.9535 |
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| 0.0125 | 16.0 | 5360 | 0.0146 | 0.3214 | 0.2459 | 0.8445 | 0.0000 | 0.8801 | 0.0000 | 0.8415 | 0.0 | 0.8796 | 0.0 | 0.7643 | 0.5949 | 0.0930 | 0.0479 | 0.5248 | 0.0000 | 0.1544 | 0.0031 | 0.4631 | 0.0 | 0.1549 | 0.0 | 0.6446 | 0.3688 | 0.4 | 0.8889 | 0.9490 | 0.9448 | 0.9777 | 0.9439 | 0.9450 |
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| 0.0126 | 17.0 | 5695 | 0.0112 | 0.3369 | 0.2511 | 0.8425 | 0.0000 | 0.9056 | 0.0000 | 0.8695 | 0.0 | 0.9052 | 0.0 | 0.7631 | 0.5929 | 0.1271 | 0.0566 | 0.5552 | 0.0000 | 0.1545 | 0.0031 | 0.4927 | 0.0 | 0.1551 | 0.0 | 0.6629 | 0.3955 | 0.2 | 0.8869 | 0.9469 | 0.9433 | 0.9726 | 0.9422 | 0.9447 |
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| 0.0116 | 18.0 | 6030 | 0.0109 | 0.3288 | 0.2488 | 0.8338 | 0.0000 | 0.9089 | 0.0000 | 0.8593 | 0.0 | 0.9085 | 0.0 | 0.7522 | 0.5721 | 0.1108 | 0.0557 | 0.4819 | 0.0000 | 0.1698 | 0.0011 | 0.4525 | 0.0 | 0.1701 | 0.0 | 0.6265 | 0.3348 | 0.3 | 0.9069 | 0.9572 | 0.9537 | 0.9756 | 0.9529 | 0.9540 |
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| 0.0117 | 19.0 | 6365 | 0.0118 | 0.3361 | 0.2531 | 0.8544 | 0.0000 | 0.9035 | 0.0000 | 0.8668 | 0.0 | 0.9031 | 0.0 | 0.7694 | 0.6052 | 0.1044 | 0.0478 | 0.5969 | 0.0000 | 0.1606 | 0.0021 | 0.5274 | 0.0 | 0.1609 | 0.0 | 0.6776 | 0.4224 | 0.3 | 0.8948 | 0.9519 | 0.9478 | 0.9761 | 0.9471 | 0.9477 |
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| 0.0102 | 20.0 | 6700 | 0.0112 | 0.3345 | 0.2504 | 0.8508 | 0.0000 | 0.9058 | 0.0000 | 0.8715 | 0.0 | 0.9055 | 0.0 | 0.7709 | 0.6075 | 0.1136 | 0.0571 | 0.5586 | 0.0000 | 0.2075 | 0.0001 | 0.5282 | 0.0 | 0.2083 | 0.0 | 0.6659 | 0.4030 | 0.2 | 0.8736 | 0.9431 | 0.9373 | 0.9781 | 0.9379 | 0.9357 |
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| 0.0115 | 21.0 | 7035 | 0.0161 | 0.3463 | 0.2581 | 0.8401 | 0.0000 | 0.8686 | 0.0000 | 0.8441 | 0.0 | 0.8680 | 0.0 | 0.7654 | 0.5971 | 0.1231 | 0.0590 | 0.5930 | 0.0000 | 0.1560 | 0.0028 | 0.5049 | 0.0 | 0.1569 | 0.0 | 0.6728 | 0.4166 | 0.3 | 0.8526 | 0.9328 | 0.9269 | 0.9661 | 0.9262 | 0.9264 |
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| 0.0117 | 22.0 | 7370 | 0.0120 | 0.3405 | 0.2545 | 0.8534 | 0.0000 | 0.9043 | 0.0000 | 0.8761 | 0.0 | 0.9039 | 0.0 | 0.7714 | 0.6087 | 0.1368 | 0.0701 | 0.6228 | 0.0000 | 0.2155 | 0.0000 | 0.5478 | 0.0 | 0.2159 | 0.0 | 0.6897 | 0.4461 | 0.1 | 0.8951 | 0.9516 | 0.9478 | 0.9718 | 0.9468 | 0.9483 |
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| 0.0116 | 23.0 | 7705 | 0.0132 | 0.3305 | 0.2528 | 0.8544 | 0.0000 | 0.9042 | 0.0000 | 0.8794 | 0.0 | 0.9038 | 0.0 | 0.7714 | 0.6085 | 0.1444 | 0.0940 | 0.6086 | 0.0000 | 0.2120 | 0.0000 | 0.5492 | 0.0 | 0.2125 | 0.0 | 0.6805 | 0.4300 | 0.1 | 0.8980 | 0.9530 | 0.9493 | 0.9750 | 0.9483 | 0.9497 |
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| 0.0093 | 24.0 | 8040 | 0.0111 | 0.3400 | 0.2520 | 0.8521 | 0.0000 | 0.9061 | 0.0000 | 0.8729 | 0.0 | 0.9057 | 0.0 | 0.7696 | 0.6050 | 0.1150 | 0.0505 | 0.5651 | 0.0000 | 0.1819 | 0.0005 | 0.5233 | 0.0 | 0.1821 | 0.0 | 0.6639 | 0.3993 | 0.3 | 0.8922 | 0.9501 | 0.9463 | 0.9783 | 0.9452 | 0.9469 |
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| 0.0091 | 25.0 | 8375 | 0.0113 | 0.3428 | 0.2551 | 0.8530 | 0.0000 | 0.9064 | 0.0000 | 0.8742 | 0.0 | 0.9060 | 0.0 | 0.7728 | 0.6111 | 0.1108 | 0.0517 | 0.5993 | 0.0000 | 0.2057 | 0.0001 | 0.5658 | 0.0 | 0.2062 | 0.0 | 0.6798 | 0.4295 | 0.2 | 0.8856 | 0.9481 | 0.9433 | 0.9750 | 0.9430 | 0.9426 |
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| 0.0093 | 26.0 | 8710 | 0.0133 | 0.3265 | 0.2502 | 0.8411 | 0.0000 | 0.8922 | 0.0000 | 0.8604 | 0.0 | 0.8918 | 0.0 | 0.7662 | 0.5985 | 0.1360 | 0.0814 | 0.5408 | 0.0000 | 0.2034 | 0.0001 | 0.5065 | 0.0 | 0.2040 | 0.0 | 0.6564 | 0.3852 | 0.3 | 0.8847 | 0.9451 | 0.9418 | 0.9726 | 0.9408 | 0.9439 |
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| 0.0095 | 27.0 | 9045 | 0.0124 | 0.3291 | 0.2506 | 0.8483 | 0.0000 | 0.9009 | 0.0000 | 0.8764 | 0.0 | 0.9004 | 0.0 | 0.7697 | 0.6052 | 0.1449 | 0.0812 | 0.5791 | 0.0000 | 0.2252 | 0.0000 | 0.5108 | 0.0 | 0.2251 | 0.0 | 0.6706 | 0.4098 | 0.1 | 0.8989 | 0.9525 | 0.9493 | 0.9728 | 0.9481 | 0.9507 |
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113 |
+
| 0.008 | 28.0 | 9380 | 0.0127 | 0.3341 | 0.2527 | 0.8271 | 0.0000 | 0.8960 | 0.0000 | 0.8627 | 0.0 | 0.8956 | 0.0 | 0.7571 | 0.5813 | 0.1434 | 0.0802 | 0.4711 | 0.0000 | 0.2507 | 0.0000 | 0.4771 | 0.0 | 0.2512 | 0.0 | 0.6247 | 0.3255 | 0.1 | 0.8862 | 0.9474 | 0.9433 | 0.9706 | 0.9423 | 0.9439 |
|
114 |
+
| 0.0094 | 29.0 | 9715 | 0.0123 | 0.3328 | 0.2531 | 0.8452 | 0.0000 | 0.8956 | 0.0000 | 0.8634 | 0.0 | 0.8952 | 0.0 | 0.7659 | 0.5980 | 0.1165 | 0.0676 | 0.5272 | 0.0000 | 0.3011 | 0.0000 | 0.5127 | 0.0 | 0.3016 | 0.0 | 0.6466 | 0.3687 | 0.3 | 0.8856 | 0.9481 | 0.9433 | 0.9782 | 0.9430 | 0.9426 |
|
115 |
+
| 0.0089 | 30.0 | 10050 | 0.0116 | 0.3349 | 0.2540 | 0.8419 | 0.0000 | 0.9032 | 0.0000 | 0.8641 | 0.0 | 0.9029 | 0.0 | 0.7658 | 0.5979 | 0.1180 | 0.0566 | 0.5577 | 0.0000 | 0.1858 | 0.0004 | 0.4886 | 0.0 | 0.1862 | 0.0 | 0.6595 | 0.3900 | 0.2 | 0.8893 | 0.9487 | 0.9448 | 0.9712 | 0.9437 | 0.9455 |
|
116 |
+
| 0.0081 | 31.0 | 10385 | 0.0121 | 0.3387 | 0.2550 | 0.8447 | 0.0000 | 0.8990 | 0.0000 | 0.8667 | 0.0 | 0.8985 | 0.0 | 0.7618 | 0.5903 | 0.1345 | 0.0715 | 0.5383 | 0.0000 | 0.2538 | 0.0000 | 0.4798 | 0.0 | 0.2544 | 0.0 | 0.6537 | 0.3838 | 0.1 | 0.8826 | 0.9468 | 0.9418 | 0.9751 | 0.9417 | 0.9409 |
|
117 |
+
| 0.0088 | 32.0 | 10720 | 0.0118 | 0.3411 | 0.2556 | 0.8240 | 0.0000 | 0.9041 | 0.0000 | 0.8592 | 0.0 | 0.9038 | 0.0 | 0.7546 | 0.5764 | 0.1306 | 0.0703 | 0.4212 | 0.0000 | 0.2830 | 0.0000 | 0.4539 | 0.0 | 0.2837 | 0.0 | 0.6071 | 0.2959 | 0.2 | 0.8982 | 0.9529 | 0.9493 | 0.9740 | 0.9482 | 0.9499 |
|
118 |
+
| 0.008 | 33.0 | 11055 | 0.0112 | 0.3393 | 0.2517 | 0.8367 | 0.0000 | 0.9055 | 0.0000 | 0.8643 | 0.0 | 0.9052 | 0.0 | 0.7640 | 0.5943 | 0.1189 | 0.0519 | 0.5074 | 0.0000 | 0.2336 | 0.0000 | 0.5053 | 0.0 | 0.2341 | 0.0 | 0.6415 | 0.3584 | 0.2 | 0.8888 | 0.9491 | 0.9448 | 0.9735 | 0.9441 | 0.9447 |
|
119 |
+
| 0.008 | 34.0 | 11390 | 0.0115 | 0.3398 | 0.2506 | 0.8301 | 0.0000 | 0.9030 | 0.0000 | 0.8587 | 0.0 | 0.9027 | 0.0 | 0.7590 | 0.5848 | 0.1253 | 0.0516 | 0.4709 | 0.0000 | 0.1866 | 0.0003 | 0.4762 | 0.0 | 0.1870 | 0.0 | 0.6245 | 0.3255 | 0.3 | 0.8960 | 0.9510 | 0.9478 | 0.9725 | 0.9467 | 0.9494 |
|
120 |
+
| 0.0082 | 35.0 | 11725 | 0.0134 | 0.3420 | 0.2573 | 0.8238 | 0.0000 | 0.8875 | 0.0000 | 0.8514 | 0.0 | 0.8871 | 0.0 | 0.7558 | 0.5787 | 0.1301 | 0.0648 | 0.4920 | 0.0000 | 0.1935 | 0.0002 | 0.4611 | 0.0 | 0.1939 | 0.0 | 0.6271 | 0.3371 | 0.1 | 0.8796 | 0.9455 | 0.9403 | 0.9651 | 0.9403 | 0.9393 |
|
121 |
+
| 0.0069 | 36.0 | 12060 | 0.0118 | 0.3443 | 0.2527 | 0.8270 | 0.0000 | 0.9022 | 0.0000 | 0.8557 | 0.0 | 0.9018 | 0.0 | 0.7557 | 0.5784 | 0.1268 | 0.0534 | 0.4496 | 0.0000 | 0.1315 | 0.0119 | 0.4127 | 0.0 | 0.1320 | 0.0000 | 0.6146 | 0.3098 | 0.1 | 0.8949 | 0.9517 | 0.9478 | 0.9733 | 0.9469 | 0.9480 |
|
122 |
|
123 |
|
124 |
### 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:ce9bbd8383a1623555cb9e8e6733e0b23e90ffae9ca103cb3606cef37cf4edf7
|
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 sha256:32b384d661eaeffbc6cc2c1ab0712fcbf9de4ae599187b1bf47218f37fbccd6f
|
3 |
size 5304
|