elodiesune
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Browse files- README.md +60 -63
- 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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| 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 |
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| 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 |
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| 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 |
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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: 0.0115
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- Rmse: 0.3448
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- Mae: 0.2552
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- Spearmanr Corr: 0.8038
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- Spearmanr Corr P Value: 0.0000
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- Pearsonr Corr: 0.9039
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- Pearsonr Corr P Value: 0.0000
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- Spearmanr Corr Of Deltas: 0.8409
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- Spearmanr Corr Of Deltas P Value: 0.0
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- Pearsonr Corr Of Deltas: 0.9035
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- Pearsonr Corr Of Deltas P Value: 0.0
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- Ranking F1 Score: 0.7462
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- Ranking Mcc: 0.5607
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- Rmse Enriched: 0.1087
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- Mae Enriched: 0.0484
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- Spearmanr Corr Enriched: 0.3486
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- Spearmanr Corr Enriched P Value: 0.0000
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- Pearsonr Corr Enriched: 0.3394
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- Pearsonr Corr Enriched P Value: 0.0000
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- Spearmanr Corr Of Deltas Enriched: 0.3932
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- Spearmanr Corr Of Deltas Enriched P Value: 0.0
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- Pearsonr Corr Of Deltas Enriched: 0.3395
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- Pearsonr Corr Of Deltas Enriched P Value: 0.0
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- Ranking F1 Score Enriched: 0.5813
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- Ranking Mcc Enriched: 0.2468
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- Classification Thresh: 0.2
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- Mcc: 0.8857
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- F1 Score: 0.9486
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- Acc: 0.9433
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- Auc: 0.9699
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- Precision: 0.9443
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- Recall: 0.9415
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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: 1e-05
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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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| 0.0457 | 1.0 | 335 | 0.0169 | 0.3328 | 0.2491 | 0.8024 | 0.0000 | 0.8539 | 0.0000 | 0.8179 | 0.0 | 0.8533 | 0.0 | 0.7383 | 0.5457 | 0.1274 | 0.0556 | 0.3966 | 0.0000 | 0.1180 | 0.0242 | 0.3508 | 0.0 | 0.1183 | 0.0000 | 0.5903 | 0.2676 | 0.3 | 0.8438 | 0.9284 | 0.9224 | 0.9615 | 0.9215 | 0.9223 |
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| 0.0178 | 2.0 | 670 | 0.0199 | 0.3398 | 0.2531 | 0.8286 | 0.0000 | 0.8437 | 0.0000 | 0.8205 | 0.0 | 0.8430 | 0.0 | 0.7533 | 0.5741 | 0.0970 | 0.0415 | 0.4760 | 0.0000 | 0.0945 | 0.0713 | 0.4198 | 0.0 | 0.0950 | 0.0000 | 0.6209 | 0.3207 | 0.3 | 0.8121 | 0.9170 | 0.9060 | 0.9708 | 0.9108 | 0.9013 |
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| 0.0154 | 3.0 | 1005 | 0.0122 | 0.3365 | 0.2524 | 0.8399 | 0.0000 | 0.8976 | 0.0000 | 0.8576 | 0.0 | 0.8972 | 0.0 | 0.7581 | 0.5832 | 0.1114 | 0.0516 | 0.5044 | 0.0000 | 0.1478 | 0.0047 | 0.4355 | 0.0 | 0.1483 | 3e-323 | 0.6333 | 0.3414 | 0.2 | 0.8856 | 0.9481 | 0.9433 | 0.9762 | 0.9430 | 0.9426 |
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| 0.0146 | 4.0 | 1340 | 0.0130 | 0.3440 | 0.2530 | 0.8443 | 0.0000 | 0.8914 | 0.0000 | 0.8595 | 0.0 | 0.8909 | 0.0 | 0.7626 | 0.5917 | 0.1073 | 0.0450 | 0.5141 | 0.0000 | 0.1410 | 0.0070 | 0.4564 | 0.0 | 0.1417 | 0.0000 | 0.6390 | 0.3563 | 0.3 | 0.8737 | 0.9432 | 0.9373 | 0.9789 | 0.9382 | 0.9355 |
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| 0.0127 | 5.0 | 1675 | 0.0110 | 0.3295 | 0.2500 | 0.8528 | 0.0000 | 0.9111 | 0.0000 | 0.8731 | 0.0 | 0.9107 | 0.0 | 0.7629 | 0.5926 | 0.1260 | 0.0693 | 0.5306 | 0.0000 | 0.1824 | 0.0005 | 0.4616 | 0.0 | 0.1827 | 0.0 | 0.6453 | 0.3638 | 0.2 | 0.8982 | 0.9529 | 0.9493 | 0.9829 | 0.9482 | 0.9499 |
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| 0.0128 | 6.0 | 2010 | 0.0127 | 0.3216 | 0.2508 | 0.8420 | 0.0000 | 0.9048 | 0.0000 | 0.8709 | 0.0 | 0.9044 | 0.0 | 0.7568 | 0.5809 | 0.1427 | 0.0938 | 0.4872 | 0.0000 | 0.2327 | 0.0000 | 0.4420 | 0.0 | 0.2329 | 0.0 | 0.6263 | 0.3314 | 0.1 | 0.8978 | 0.9533 | 0.9493 | 0.9801 | 0.9486 | 0.9491 |
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| 0.0132 | 7.0 | 2345 | 0.0114 | 0.3433 | 0.2566 | 0.8554 | 0.0000 | 0.9045 | 0.0000 | 0.8729 | 0.0 | 0.9041 | 0.0 | 0.7682 | 0.6024 | 0.1078 | 0.0547 | 0.5589 | 0.0000 | 0.1991 | 0.0001 | 0.4988 | 0.0 | 0.1998 | 0.0 | 0.6605 | 0.3964 | 0.4 | 0.8963 | 0.9509 | 0.9478 | 0.9817 | 0.9467 | 0.9496 |
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| 0.0126 | 8.0 | 2680 | 0.0102 | 0.3406 | 0.2534 | 0.8532 | 0.0000 | 0.9147 | 0.0000 | 0.8726 | 0.0 | 0.9144 | 0.0 | 0.7666 | 0.5995 | 0.1055 | 0.0502 | 0.5277 | 0.0000 | 0.2092 | 0.0001 | 0.5016 | 0.0 | 0.2096 | 0.0 | 0.6467 | 0.3657 | 0.2 | 0.9007 | 0.9549 | 0.9507 | 0.9837 | 0.9505 | 0.9502 |
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| 0.0109 | 9.0 | 3015 | 0.0113 | 0.3258 | 0.2487 | 0.8447 | 0.0000 | 0.9075 | 0.0000 | 0.8640 | 0.0 | 0.9071 | 0.0 | 0.7624 | 0.5915 | 0.1122 | 0.0640 | 0.5127 | 0.0000 | 0.1976 | 0.0001 | 0.4825 | 0.0 | 0.1980 | 0.0 | 0.6417 | 0.3598 | 0.3 | 0.9008 | 0.9546 | 0.9507 | 0.9792 | 0.9501 | 0.9508 |
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| 0.0121 | 10.0 | 3350 | 0.0117 | 0.3405 | 0.2551 | 0.8562 | 0.0000 | 0.9021 | 0.0000 | 0.8732 | 0.0 | 0.9017 | 0.0 | 0.7735 | 0.6124 | 0.1122 | 0.0600 | 0.5724 | 0.0000 | 0.2630 | 0.0000 | 0.5500 | 0.0 | 0.2633 | 0.0 | 0.6699 | 0.4107 | 0.2 | 0.8886 | 0.9498 | 0.9448 | 0.9810 | 0.9453 | 0.9434 |
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| 0.0104 | 11.0 | 3685 | 0.0101 | 0.3483 | 0.2610 | 0.8541 | 0.0000 | 0.9170 | 0.0000 | 0.8767 | 0.0 | 0.9166 | 0.0 | 0.7672 | 0.6005 | 0.1144 | 0.0597 | 0.5600 | 0.0000 | 0.2552 | 0.0000 | 0.5152 | 0.0 | 0.2556 | 0.0 | 0.6575 | 0.3857 | 0.3 | 0.9106 | 0.9582 | 0.9552 | 0.9803 | 0.9541 | 0.9565 |
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| 0.0099 | 12.0 | 4020 | 0.0100 | 0.3366 | 0.2521 | 0.8428 | 0.0000 | 0.9167 | 0.0000 | 0.8706 | 0.0 | 0.9163 | 0.0 | 0.7657 | 0.5976 | 0.1222 | 0.0597 | 0.5215 | 0.0000 | 0.2140 | 0.0000 | 0.4926 | 0.0 | 0.2144 | 0.0 | 0.6474 | 0.3688 | 0.2 | 0.9075 | 0.9569 | 0.9537 | 0.9779 | 0.9526 | 0.9548 |
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| 0.01 | 13.0 | 4355 | 0.0101 | 0.3378 | 0.2531 | 0.8391 | 0.0000 | 0.9153 | 0.0000 | 0.8652 | 0.0 | 0.9149 | 0.0 | 0.7653 | 0.5968 | 0.1090 | 0.0555 | 0.5014 | 0.0000 | 0.2643 | 0.0000 | 0.5051 | 0.0 | 0.2647 | 0.0 | 0.6407 | 0.3528 | 0.2 | 0.9007 | 0.9547 | 0.9507 | 0.9776 | 0.9502 | 0.9505 |
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| 0.0085 | 14.0 | 4690 | 0.0105 | 0.3467 | 0.2611 | 0.8378 | 0.0000 | 0.9187 | 0.0000 | 0.8644 | 0.0 | 0.9184 | 0.0 | 0.7628 | 0.5921 | 0.1045 | 0.0537 | 0.4971 | 0.0000 | 0.2514 | 0.0000 | 0.5049 | 0.0 | 0.2517 | 0.0 | 0.6374 | 0.3498 | 0.3 | 0.9039 | 0.9559 | 0.9522 | 0.9781 | 0.9515 | 0.9524 |
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| 0.0076 | 15.0 | 5025 | 0.0112 | 0.3340 | 0.2521 | 0.8376 | 0.0000 | 0.9055 | 0.0000 | 0.8601 | 0.0 | 0.9051 | 0.0 | 0.7636 | 0.5939 | 0.1119 | 0.0552 | 0.5053 | 0.0000 | 0.2708 | 0.0000 | 0.4951 | 0.0 | 0.2707 | 0.0 | 0.6414 | 0.3516 | 0.2 | 0.8796 | 0.9455 | 0.9403 | 0.9761 | 0.9403 | 0.9393 |
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| 0.0076 | 16.0 | 5360 | 0.0127 | 0.3390 | 0.2526 | 0.8338 | 0.0000 | 0.8929 | 0.0000 | 0.8475 | 0.0 | 0.8924 | 0.0 | 0.7628 | 0.5921 | 0.0993 | 0.0441 | 0.4698 | 0.0000 | 0.2604 | 0.0000 | 0.4818 | 0.0 | 0.2604 | 0.0 | 0.6314 | 0.3332 | 0.4 | 0.9007 | 0.9547 | 0.9507 | 0.9774 | 0.9502 | 0.9505 |
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| 0.0074 | 17.0 | 5695 | 0.0104 | 0.3409 | 0.2548 | 0.8314 | 0.0000 | 0.9136 | 0.0000 | 0.8614 | 0.0 | 0.9132 | 0.0 | 0.7612 | 0.5888 | 0.1275 | 0.0623 | 0.4924 | 0.0000 | 0.2687 | 0.0000 | 0.4792 | 0.0 | 0.2688 | 0.0 | 0.6344 | 0.3466 | 0.2 | 0.9135 | 0.9597 | 0.9567 | 0.9739 | 0.9556 | 0.9578 |
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| 0.0061 | 18.0 | 6030 | 0.0122 | 0.3333 | 0.2516 | 0.8174 | 0.0000 | 0.8983 | 0.0000 | 0.8411 | 0.0 | 0.8978 | 0.0 | 0.7558 | 0.5789 | 0.0991 | 0.0471 | 0.4463 | 0.0000 | 0.2951 | 0.0000 | 0.4610 | 0.0 | 0.2950 | 0.0 | 0.6196 | 0.3127 | 0.3 | 0.8976 | 0.9537 | 0.9493 | 0.9697 | 0.9493 | 0.9483 |
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| 0.006 | 19.0 | 6365 | 0.0121 | 0.3397 | 0.2534 | 0.8115 | 0.0000 | 0.8985 | 0.0000 | 0.8396 | 0.0 | 0.8981 | 0.0 | 0.7480 | 0.5640 | 0.1099 | 0.0489 | 0.4107 | 0.0000 | 0.2072 | 0.0001 | 0.4105 | 0.0 | 0.2070 | 0.0 | 0.6068 | 0.2891 | 0.3 | 0.8917 | 0.9505 | 0.9463 | 0.9682 | 0.9456 | 0.9461 |
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| 0.0055 | 20.0 | 6700 | 0.0128 | 0.3416 | 0.2555 | 0.8161 | 0.0000 | 0.8961 | 0.0000 | 0.8479 | 0.0 | 0.8957 | 0.0 | 0.7536 | 0.5747 | 0.1441 | 0.0721 | 0.4605 | 0.0000 | 0.2624 | 0.0000 | 0.4353 | 0.0 | 0.2620 | 0.0 | 0.6264 | 0.3244 | 0.1 | 0.8917 | 0.9507 | 0.9463 | 0.9649 | 0.9458 | 0.9458 |
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| 0.0045 | 21.0 | 7035 | 0.0141 | 0.3466 | 0.2568 | 0.8023 | 0.0000 | 0.8842 | 0.0000 | 0.8310 | 0.0 | 0.8836 | 0.0 | 0.7466 | 0.5614 | 0.1088 | 0.0489 | 0.4081 | 0.0000 | 0.2964 | 0.0000 | 0.4405 | 0.0 | 0.2963 | 0.0 | 0.6071 | 0.2891 | 0.2 | 0.8651 | 0.9398 | 0.9328 | 0.9628 | 0.9351 | 0.9300 |
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| 0.0039 | 22.0 | 7370 | 0.0123 | 0.3494 | 0.2602 | 0.8125 | 0.0000 | 0.8992 | 0.0000 | 0.8404 | 0.0 | 0.8988 | 0.0 | 0.7571 | 0.5811 | 0.1101 | 0.0519 | 0.4386 | 0.0000 | 0.2610 | 0.0000 | 0.4420 | 0.0 | 0.2613 | 0.0 | 0.6171 | 0.3131 | 0.3 | 0.9038 | 0.9560 | 0.9522 | 0.9659 | 0.9517 | 0.9521 |
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| 0.0039 | 23.0 | 7705 | 0.0132 | 0.3372 | 0.2538 | 0.8103 | 0.0000 | 0.8940 | 0.0000 | 0.8460 | 0.0 | 0.8936 | 0.0 | 0.7533 | 0.5739 | 0.1437 | 0.0779 | 0.4146 | 0.0000 | 0.2517 | 0.0000 | 0.4034 | 0.0 | 0.2514 | 0.0 | 0.6069 | 0.2882 | 0.1 | 0.8796 | 0.9452 | 0.9403 | 0.9686 | 0.9398 | 0.9398 |
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| 0.0033 | 24.0 | 8040 | 0.0127 | 0.3479 | 0.2607 | 0.8095 | 0.0000 | 0.8960 | 0.0000 | 0.8400 | 0.0 | 0.8955 | 0.0 | 0.7516 | 0.5707 | 0.1111 | 0.0543 | 0.4278 | 0.0000 | 0.3469 | 0.0000 | 0.4484 | 0.0 | 0.3469 | 0.0 | 0.6156 | 0.3099 | 0.2 | 0.8767 | 0.9447 | 0.9388 | 0.9653 | 0.9399 | 0.9368 |
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110 |
+
| 0.003 | 25.0 | 8375 | 0.0121 | 0.3479 | 0.2597 | 0.8132 | 0.0000 | 0.9000 | 0.0000 | 0.8462 | 0.0 | 0.8996 | 0.0 | 0.7520 | 0.5716 | 0.1262 | 0.0618 | 0.4124 | 0.0000 | 0.3042 | 0.0000 | 0.4236 | 0.0 | 0.3042 | 0.0 | 0.6028 | 0.2898 | 0.1 | 0.8739 | 0.9435 | 0.9373 | 0.9707 | 0.9390 | 0.9349 |
|
111 |
+
| 0.0027 | 26.0 | 8710 | 0.0141 | 0.3378 | 0.2563 | 0.7971 | 0.0000 | 0.8867 | 0.0000 | 0.8330 | 0.0 | 0.8862 | 0.0 | 0.7432 | 0.5549 | 0.1394 | 0.0782 | 0.3634 | 0.0000 | 0.2692 | 0.0000 | 0.3876 | 0.0 | 0.2691 | 0.0 | 0.5857 | 0.2507 | 0.2 | 0.8738 | 0.9421 | 0.9373 | 0.9651 | 0.9365 | 0.9373 |
|
112 |
+
| 0.0029 | 27.0 | 9045 | 0.0134 | 0.3422 | 0.2562 | 0.8072 | 0.0000 | 0.8889 | 0.0000 | 0.8378 | 0.0 | 0.8884 | 0.0 | 0.7485 | 0.5651 | 0.1347 | 0.0667 | 0.3800 | 0.0000 | 0.2701 | 0.0000 | 0.3820 | 0.0 | 0.2699 | 0.0 | 0.5947 | 0.2723 | 0.2 | 0.8860 | 0.9475 | 0.9433 | 0.9690 | 0.9423 | 0.9436 |
|
113 |
+
| 0.0023 | 28.0 | 9380 | 0.0129 | 0.3483 | 0.2584 | 0.8008 | 0.0000 | 0.8953 | 0.0000 | 0.8409 | 0.0 | 0.8948 | 0.0 | 0.7456 | 0.5596 | 0.1399 | 0.0669 | 0.3622 | 0.0000 | 0.2433 | 0.0000 | 0.3747 | 0.0 | 0.2432 | 0.0 | 0.5834 | 0.2531 | 0.2 | 0.8755 | 0.9410 | 0.9373 | 0.9678 | 0.9363 | 0.9392 |
|
114 |
+
| 0.0023 | 29.0 | 9715 | 0.0116 | 0.3449 | 0.2572 | 0.8196 | 0.0000 | 0.9036 | 0.0000 | 0.8522 | 0.0 | 0.9032 | 0.0 | 0.7544 | 0.5761 | 0.1160 | 0.0567 | 0.4145 | 0.0000 | 0.3447 | 0.0000 | 0.4413 | 0.0 | 0.3448 | 0.0 | 0.6033 | 0.2866 | 0.2 | 0.8916 | 0.9510 | 0.9463 | 0.9742 | 0.9463 | 0.9453 |
|
115 |
+
| 0.0019 | 30.0 | 10050 | 0.0113 | 0.3466 | 0.2582 | 0.8139 | 0.0000 | 0.9069 | 0.0000 | 0.8477 | 0.0 | 0.9065 | 0.0 | 0.7491 | 0.5661 | 0.1095 | 0.0524 | 0.3669 | 0.0000 | 0.2801 | 0.0000 | 0.3968 | 0.0 | 0.2802 | 0.0 | 0.5870 | 0.2555 | 0.3 | 0.9069 | 0.9572 | 0.9537 | 0.9747 | 0.9529 | 0.9540 |
|
116 |
+
| 0.0021 | 31.0 | 10385 | 0.0134 | 0.3437 | 0.2568 | 0.8092 | 0.0000 | 0.8879 | 0.0000 | 0.8404 | 0.0 | 0.8874 | 0.0 | 0.7471 | 0.5624 | 0.1313 | 0.0650 | 0.3865 | 0.0000 | 0.3201 | 0.0000 | 0.4064 | 0.0 | 0.3206 | 0.0 | 0.5983 | 0.2789 | 0.2 | 0.8736 | 0.9425 | 0.9373 | 0.9679 | 0.9368 | 0.9368 |
|
117 |
+
| 0.002 | 32.0 | 10720 | 0.0116 | 0.3467 | 0.2571 | 0.8021 | 0.0000 | 0.9044 | 0.0000 | 0.8401 | 0.0 | 0.9040 | 0.0 | 0.7438 | 0.5561 | 0.1203 | 0.0553 | 0.3136 | 0.0000 | 0.2986 | 0.0000 | 0.3496 | 0.0 | 0.2985 | 0.0 | 0.5679 | 0.2216 | 0.2 | 0.8948 | 0.9519 | 0.9478 | 0.9732 | 0.9471 | 0.9477 |
|
118 |
+
| 0.0014 | 33.0 | 11055 | 0.0115 | 0.3448 | 0.2552 | 0.8038 | 0.0000 | 0.9039 | 0.0000 | 0.8409 | 0.0 | 0.9035 | 0.0 | 0.7462 | 0.5607 | 0.1087 | 0.0484 | 0.3486 | 0.0000 | 0.3394 | 0.0000 | 0.3932 | 0.0 | 0.3395 | 0.0 | 0.5813 | 0.2468 | 0.2 | 0.8857 | 0.9486 | 0.9433 | 0.9699 | 0.9443 | 0.9415 |
|
|
|
|
|
|
|
119 |
|
120 |
|
121 |
### 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 sha256:10d92f18c89d5114aa14395b59e678070c6e91ac459b249b6dc2020e3016c8a3
|
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 sha256:3975fd3844be5b180f560f79ac7e1d209ccde4d15a2eb6e86604e3b8fff0c083
|
3 |
size 5304
|