elodiesune
commited on
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- adapter_config.json +1 -1
- adapter_model.safetensors +2 -2
README.md
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---
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license: mit
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base_model: facebook/
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tags:
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- generated_from_trainer
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metrics:
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# esm_ft_Aerin_Yang_et_al_2023
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This model is a fine-tuned version of [facebook/
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Rmse: 1.
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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:
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- Spearmanr Corr Enriched P Value: 0.
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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:
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- Spearmanr Corr Of Deltas Enriched P Value: 0.0000
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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:
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- Classification Thresh: 0.01
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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 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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---
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license: mit
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base_model: facebook/esm2_t33_650M_UR50D
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tags:
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- generated_from_trainer
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metrics:
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# esm_ft_Aerin_Yang_et_al_2023
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This model is a fine-tuned version of [facebook/esm2_t33_650M_UR50D](https://huggingface.co/facebook/esm2_t33_650M_UR50D) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1866
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- Rmse: 1.3040
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- Mae: 0.9754
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- Spearmanr Corr: 0.8524
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- Spearmanr Corr P Value: 0.0000
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- Pearsonr Corr: 0.8905
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- Pearsonr Corr P Value: 0.0000
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- Spearmanr Corr Of Deltas: 0.8692
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- Spearmanr Corr Of Deltas P Value: 0.0
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- Pearsonr Corr Of Deltas: 0.8899
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- Pearsonr Corr Of Deltas P Value: 0.0
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- Ranking F1 Score: 0.7517
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- Ranking Mcc: 0.6136
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- Rmse Enriched: 0.4258
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- Mae Enriched: 0.1658
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- Spearmanr Corr Enriched: 0.0198
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- Spearmanr Corr Enriched P Value: 0.7300
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- Pearsonr Corr Enriched: 0.0288
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- Pearsonr Corr Enriched P Value: 0.6163
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- Spearmanr Corr Of Deltas Enriched: 0.0264
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- Spearmanr Corr Of Deltas Enriched P Value: 0.0000
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- Pearsonr Corr Of Deltas Enriched: 0.0258
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- Pearsonr Corr Of Deltas Enriched P Value: 0.0000
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- Ranking F1 Score Enriched: 0.0090
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- Ranking Mcc Enriched: 0.0081
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- Classification Thresh: 0.01
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- Mcc: 0.8766
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- F1 Score: 0.9325
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- Acc: 0.9388
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- Auc: 0.9746
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- Precision: 0.9387
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- Recall: 0.9379
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## Model description
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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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| 0.4938 | 1.0 | 335 | 0.2535 | 1.2092 | 0.9284 | 0.8204 | 0.0000 | 0.8408 | 0.0000 | 0.8373 | 0.0 | 0.8403 | 0.0 | 0.7401 | 0.5930 | 0.5202 | 0.3159 | -0.0457 | 0.4267 | 0.0251 | 0.6628 | -0.0210 | 0.0000 | 0.0217 | 0.0000 | 0.0042 | -0.0265 | 0.4 | 0.8223 | 0.9025 | 0.9119 | 0.9673 | 0.9118 | 0.9106 |
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| 0.2752 | 2.0 | 670 | 0.3257 | 1.2897 | 0.9506 | 0.8170 | 0.0000 | 0.8155 | 0.0000 | 0.8253 | 0.0 | 0.8146 | 0.0 | 0.7349 | 0.5841 | 0.7387 | 0.3560 | -0.0510 | 0.3749 | 0.0375 | 0.5137 | -0.0180 | 0.0001 | 0.0340 | 0.0000 | 0.0037 | -0.0305 | 0.5 | 0.7912 | 0.8743 | 0.8940 | 0.9660 | 0.9043 | 0.8871 |
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| 0.2159 | 3.0 | 1005 | 0.1902 | 1.2032 | 0.9481 | 0.8455 | 0.0000 | 0.8884 | 0.0000 | 0.8669 | 0.0 | 0.8879 | 0.0 | 0.7548 | 0.6178 | 0.3961 | 0.3346 | -0.0930 | 0.1051 | 0.0012 | 0.9836 | -0.0892 | 0.0000 | -0.0040 | 0.3873 | 0.0017 | -0.0443 | 0.1 | 0.8855 | 0.9384 | 0.9418 | 0.9780 | 0.9410 | 0.9444 |
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| 0.2044 | 4.0 | 1340 | 0.1532 | 1.2455 | 0.9411 | 0.8558 | 0.0000 | 0.9075 | 0.0000 | 0.8799 | 0.0 | 0.9071 | 0.0 | 0.7603 | 0.6276 | 0.3365 | 0.1489 | -0.0300 | 0.6018 | 0.0202 | 0.7255 | -0.0078 | 0.0938 | 0.0149 | 0.0014 | 0.0047 | -0.0236 | 0.01 | 0.9069 | 0.9496 | 0.9537 | 0.9812 | 0.9529 | 0.9540 |
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| 0.2002 | 5.0 | 1675 | 0.1957 | 1.2367 | 0.9569 | 0.8530 | 0.0000 | 0.8912 | 0.0000 | 0.8720 | 0.0 | 0.8908 | 0.0 | 0.7601 | 0.6269 | 0.3756 | 0.1658 | -0.0394 | 0.4925 | 0.0224 | 0.6968 | -0.0179 | 0.0001 | 0.0166 | 0.0003 | 0.0047 | -0.0236 | 0.1 | 0.8646 | 0.9251 | 0.9328 | 0.9793 | 0.9335 | 0.9311 |
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| 0.1686 | 6.0 | 2010 | 0.1751 | 1.2966 | 0.9666 | 0.8597 | 0.0000 | 0.8974 | 0.0000 | 0.8809 | 0.0 | 0.8969 | 0.0 | 0.7640 | 0.6335 | 0.2937 | 0.0892 | -0.0078 | 0.8915 | 0.0168 | 0.7699 | 0.0004 | 0.9369 | 0.0103 | 0.0272 | 0.0066 | -0.0100 | 0.4 | 0.8900 | 0.9408 | 0.9448 | 0.9835 | 0.9437 | 0.9464 |
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| 0.1666 | 7.0 | 2345 | 0.1886 | 1.3305 | 0.9939 | 0.8594 | 0.0000 | 0.8981 | 0.0000 | 0.8830 | 0.0 | 0.8976 | 0.0 | 0.7629 | 0.6317 | 0.4580 | 0.1687 | -0.0556 | 0.3332 | 0.0208 | 0.7177 | -0.0320 | 0.0000 | 0.0148 | 0.0015 | 0.0035 | -0.0323 | 0.4 | 0.8797 | 0.9333 | 0.9403 | 0.9821 | 0.9412 | 0.9385 |
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| 0.175 | 8.0 | 2680 | 0.1513 | 1.2717 | 0.9535 | 0.8644 | 0.0000 | 0.9088 | 0.0000 | 0.8868 | 0.0 | 0.9084 | 0.0 | 0.7605 | 0.6281 | 0.3927 | 0.1653 | 0.0734 | 0.2014 | 0.0291 | 0.6124 | 0.0560 | 0.0000 | 0.0235 | 0.0000 | 0.0129 | 0.0377 | 0.01 | 0.9007 | 0.9456 | 0.9507 | 0.9856 | 0.9507 | 0.9499 |
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| 0.1496 | 9.0 | 3015 | 0.1598 | 1.2104 | 0.9346 | 0.8628 | 0.0000 | 0.9057 | 0.0000 | 0.8865 | 0.0 | 0.9053 | 0.0 | 0.7645 | 0.6343 | 0.3926 | 0.2572 | -0.0185 | 0.7482 | 0.0192 | 0.7387 | -0.0108 | 0.0198 | 0.0144 | 0.0019 | 0.0066 | -0.0099 | 0.01 | 0.8978 | 0.9444 | 0.9493 | 0.9829 | 0.9486 | 0.9491 |
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| 0.1661 | 10.0 | 3350 | 0.1847 | 1.2898 | 0.9926 | 0.8547 | 0.0000 | 0.8971 | 0.0000 | 0.8766 | 0.0 | 0.8966 | 0.0 | 0.7579 | 0.6233 | 0.3976 | 0.2023 | 0.0464 | 0.4197 | 0.0285 | 0.6194 | 0.0384 | 0.0000 | 0.0241 | 0.0000 | 0.0097 | 0.0130 | 0.5 | 0.8886 | 0.9386 | 0.9448 | 0.9826 | 0.9453 | 0.9434 |
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| 0.1468 | 11.0 | 3685 | 0.1594 | 1.3265 | 0.9881 | 0.8636 | 0.0000 | 0.9097 | 0.0000 | 0.8859 | 0.0 | 0.9093 | 0.0 | 0.7646 | 0.6344 | 0.3627 | 0.1214 | 0.0694 | 0.2266 | 0.0261 | 0.6496 | 0.0492 | 0.0000 | 0.0203 | 0.0000 | 0.0118 | 0.0278 | 0.4 | 0.9067 | 0.9493 | 0.9537 | 0.9826 | 0.9533 | 0.9535 |
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| 0.1335 | 12.0 | 4020 | 0.1444 | 1.2719 | 0.9618 | 0.8635 | 0.0000 | 0.9128 | 0.0000 | 0.8861 | 0.0 | 0.9123 | 0.0 | 0.7605 | 0.6278 | 0.3261 | 0.1369 | 0.0510 | 0.3749 | 0.0288 | 0.6166 | 0.0418 | 0.0000 | 0.0235 | 0.0000 | 0.0107 | 0.0202 | 0.3 | 0.8977 | 0.9443 | 0.9493 | 0.9848 | 0.9488 | 0.9488 |
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| 0.1455 | 13.0 | 4355 | 0.1524 | 1.2873 | 0.9697 | 0.8599 | 0.0000 | 0.9108 | 0.0000 | 0.8845 | 0.0 | 0.9104 | 0.0 | 0.7567 | 0.6217 | 0.3473 | 0.1380 | 0.0291 | 0.6131 | 0.0249 | 0.6644 | 0.0266 | 0.0000 | 0.0206 | 0.0000 | 0.0088 | 0.0066 | 0.3 | 0.9007 | 0.9456 | 0.9507 | 0.9809 | 0.9507 | 0.9499 |
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| 0.1234 | 14.0 | 4690 | 0.1629 | 1.2232 | 0.9520 | 0.8462 | 0.0000 | 0.9086 | 0.0000 | 0.8739 | 0.0 | 0.9082 | 0.0 | 0.7468 | 0.6049 | 0.4183 | 0.3193 | 0.0288 | 0.6159 | 0.0254 | 0.6591 | 0.0314 | 0.0000 | 0.0222 | 0.0000 | 0.0089 | 0.0075 | 0.1 | 0.8980 | 0.9448 | 0.9493 | 0.9755 | 0.9483 | 0.9497 |
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| 0.101 | 15.0 | 5025 | 0.1536 | 1.2280 | 0.9416 | 0.8432 | 0.0000 | 0.9082 | 0.0000 | 0.8777 | 0.0 | 0.9077 | 0.0 | 0.7476 | 0.6062 | 0.3486 | 0.1792 | 0.0452 | 0.4314 | 0.0215 | 0.7083 | 0.0353 | 0.0000 | 0.0174 | 0.0002 | 0.0106 | 0.0210 | 0.4 | 0.9097 | 0.9507 | 0.9552 | 0.9717 | 0.9551 | 0.9546 |
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| 0.1104 | 16.0 | 5360 | 0.1496 | 1.2724 | 0.9555 | 0.8490 | 0.0000 | 0.9110 | 0.0000 | 0.8765 | 0.0 | 0.9106 | 0.0 | 0.7527 | 0.6146 | 0.3090 | 0.1124 | 0.0794 | 0.1668 | 0.0333 | 0.5620 | 0.0717 | 0.0000 | 0.0296 | 0.0000 | 0.0127 | 0.0354 | 0.2 | 0.9160 | 0.9545 | 0.9582 | 0.9756 | 0.9573 | 0.9587 |
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| 0.0955 | 17.0 | 5695 | 0.1477 | 1.3251 | 0.9872 | 0.8473 | 0.0000 | 0.9169 | 0.0000 | 0.8809 | 0.0 | 0.9166 | 0.0 | 0.7492 | 0.6089 | 0.2794 | 0.0980 | 0.0277 | 0.6301 | 0.0192 | 0.7383 | 0.0257 | 0.0000 | 0.0176 | 0.0002 | 0.0087 | 0.0056 | 0.3 | 0.9253 | 0.9596 | 0.9627 | 0.9750 | 0.9617 | 0.9636 |
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| 0.092 | 18.0 | 6030 | 0.1689 | 1.2765 | 0.9631 | 0.8479 | 0.0000 | 0.8984 | 0.0000 | 0.8675 | 0.0 | 0.8979 | 0.0 | 0.7504 | 0.6107 | 0.4028 | 0.1760 | 0.1107 | 0.0534 | 0.0433 | 0.4517 | 0.0830 | 0.0000 | 0.0390 | 0.0000 | 0.0154 | 0.0569 | 0.1 | 0.8917 | 0.9402 | 0.9463 | 0.9752 | 0.9469 | 0.9448 |
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| 0.0782 | 19.0 | 6365 | 0.1967 | 1.3323 | 1.0076 | 0.8417 | 0.0000 | 0.8921 | 0.0000 | 0.8583 | 0.0 | 0.8916 | 0.0 | 0.7489 | 0.6081 | 0.4646 | 0.2140 | -0.0076 | 0.8947 | 0.0022 | 0.9697 | -0.0239 | 0.0000 | -0.0015 | 0.7406 | 0.0067 | -0.0091 | 0.1 | 0.8917 | 0.9402 | 0.9463 | 0.9704 | 0.9469 | 0.9448 |
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| 0.0653 | 20.0 | 6700 | 0.1748 | 1.3168 | 0.9878 | 0.8381 | 0.0000 | 0.8992 | 0.0000 | 0.8648 | 0.0 | 0.8987 | 0.0 | 0.7428 | 0.5978 | 0.3921 | 0.1505 | 0.0208 | 0.7180 | 0.0240 | 0.6763 | 0.0183 | 0.0001 | 0.0209 | 0.0000 | 0.0086 | 0.0047 | 0.01 | 0.9007 | 0.9460 | 0.9507 | 0.9769 | 0.9502 | 0.9505 |
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| 0.0543 | 21.0 | 7035 | 0.1661 | 1.2932 | 0.9593 | 0.8383 | 0.0000 | 0.9011 | 0.0000 | 0.8711 | 0.0 | 0.9007 | 0.0 | 0.7431 | 0.5987 | 0.3842 | 0.1158 | 0.0348 | 0.5445 | 0.0220 | 0.7016 | 0.0322 | 0.0000 | 0.0175 | 0.0002 | 0.0096 | 0.0125 | 0.5 | 0.9037 | 0.9472 | 0.9522 | 0.9727 | 0.9524 | 0.9513 |
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| 0.0433 | 22.0 | 7370 | 0.1857 | 1.3158 | 0.9815 | 0.8419 | 0.0000 | 0.8927 | 0.0000 | 0.8633 | 0.0 | 0.8922 | 0.0 | 0.7460 | 0.6033 | 0.4318 | 0.1646 | 0.0819 | 0.1536 | 0.0448 | 0.4355 | 0.0908 | 0.0000 | 0.0411 | 0.0000 | 0.0133 | 0.0414 | 0.5 | 0.8917 | 0.9402 | 0.9463 | 0.9719 | 0.9469 | 0.9448 |
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| 0.0574 | 23.0 | 7705 | 0.1825 | 1.2687 | 0.9548 | 0.8301 | 0.0000 | 0.8911 | 0.0000 | 0.8544 | 0.0 | 0.8906 | 0.0 | 0.7335 | 0.5823 | 0.3508 | 0.1376 | -0.0593 | 0.3020 | -0.0099 | 0.8631 | -0.0590 | 0.0000 | -0.0132 | 0.0044 | 0.0043 | -0.0286 | 0.3 | 0.8948 | 0.9429 | 0.9478 | 0.9730 | 0.9471 | 0.9477 |
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| 0.0335 | 24.0 | 8040 | 0.1617 | 1.2991 | 0.9685 | 0.8421 | 0.0000 | 0.9046 | 0.0000 | 0.8658 | 0.0 | 0.9042 | 0.0 | 0.7458 | 0.6034 | 0.3635 | 0.1360 | -0.0155 | 0.7881 | 0.0156 | 0.7865 | -0.0113 | 0.0149 | 0.0127 | 0.0062 | 0.0063 | -0.0123 | 0.2 | 0.9097 | 0.9508 | 0.9552 | 0.9737 | 0.9549 | 0.9549 |
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| 0.0295 | 25.0 | 8375 | 0.1653 | 1.2827 | 0.9651 | 0.8380 | 0.0000 | 0.9006 | 0.0000 | 0.8691 | 0.0 | 0.9002 | 0.0 | 0.7416 | 0.5961 | 0.3310 | 0.1374 | 0.0113 | 0.8441 | 0.0235 | 0.6823 | 0.0193 | 0.0000 | 0.0219 | 0.0000 | 0.0081 | 0.0012 | 0.0 | 0.8984 | 0.9452 | 0.9493 | 0.9720 | 0.9482 | 0.9502 |
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| 0.0315 | 26.0 | 8710 | 0.1616 | 1.2790 | 0.9562 | 0.8416 | 0.0000 | 0.9034 | 0.0000 | 0.8710 | 0.0 | 0.9029 | 0.0 | 0.7477 | 0.6060 | 0.3236 | 0.1149 | -0.0325 | 0.5715 | -0.0133 | 0.8172 | -0.0490 | 0.0000 | -0.0169 | 0.0003 | 0.0051 | -0.0210 | 0.4 | 0.8976 | 0.9439 | 0.9493 | 0.9722 | 0.9493 | 0.9483 |
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| 0.0226 | 27.0 | 9045 | 0.1603 | 1.2680 | 0.9567 | 0.8503 | 0.0000 | 0.9027 | 0.0000 | 0.8707 | 0.0 | 0.9023 | 0.0 | 0.7555 | 0.6194 | 0.3718 | 0.1684 | -0.0399 | 0.4874 | -0.0298 | 0.6037 | -0.0508 | 0.0000 | -0.0356 | 0.0000 | 0.0045 | -0.0246 | 0.01 | 0.8917 | 0.9412 | 0.9463 | 0.9776 | 0.9456 | 0.9461 |
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114 |
+
| 0.0179 | 28.0 | 9380 | 0.1941 | 1.3060 | 0.9771 | 0.8367 | 0.0000 | 0.8866 | 0.0000 | 0.8588 | 0.0 | 0.8860 | 0.0 | 0.7425 | 0.5976 | 0.4350 | 0.1661 | -0.0699 | 0.2235 | -0.0418 | 0.4668 | -0.0655 | 0.0000 | -0.0460 | 0.0000 | 0.0030 | -0.0386 | 0.01 | 0.8797 | 0.9346 | 0.9403 | 0.9706 | 0.9396 | 0.9401 |
|
115 |
+
| 0.0161 | 29.0 | 9715 | 0.1587 | 1.2891 | 0.9602 | 0.8433 | 0.0000 | 0.9051 | 0.0000 | 0.8761 | 0.0 | 0.9047 | 0.0 | 0.7439 | 0.6003 | 0.3450 | 0.1193 | -0.0258 | 0.6531 | 0.0184 | 0.7491 | -0.0041 | 0.3762 | 0.0157 | 0.0007 | 0.0069 | -0.0087 | 0.3 | 0.9098 | 0.9510 | 0.9552 | 0.9716 | 0.9547 | 0.9551 |
|
116 |
+
| 0.0114 | 30.0 | 10050 | 0.1846 | 1.2979 | 0.9739 | 0.8431 | 0.0000 | 0.8907 | 0.0000 | 0.8642 | 0.0 | 0.8902 | 0.0 | 0.7453 | 0.6025 | 0.4478 | 0.1884 | -0.0554 | 0.3352 | 0.0043 | 0.9403 | -0.0448 | 0.0000 | -0.0001 | 0.9772 | 0.0042 | -0.0289 | 0.4 | 0.8774 | 0.9306 | 0.9388 | 0.9741 | 0.9417 | 0.9358 |
|
117 |
+
| 0.0141 | 31.0 | 10385 | 0.2011 | 1.2868 | 0.9639 | 0.8359 | 0.0000 | 0.8798 | 0.0000 | 0.8548 | 0.0 | 0.8792 | 0.0 | 0.7433 | 0.5987 | 0.4572 | 0.1858 | -0.0351 | 0.5418 | 0.0036 | 0.9495 | -0.0353 | 0.0000 | 0.0000 | 0.9935 | 0.0055 | -0.0186 | 0.1 | 0.8645 | 0.9256 | 0.9328 | 0.9682 | 0.9329 | 0.9316 |
|
118 |
+
| 0.0127 | 32.0 | 10720 | 0.1691 | 1.3026 | 0.9661 | 0.8472 | 0.0000 | 0.9008 | 0.0000 | 0.8763 | 0.0 | 0.9003 | 0.0 | 0.7469 | 0.6050 | 0.3351 | 0.0883 | 0.0272 | 0.6358 | 0.0202 | 0.7252 | 0.0285 | 0.0000 | 0.0159 | 0.0006 | 0.0090 | 0.0082 | 0.5 | 0.9038 | 0.9477 | 0.9522 | 0.9755 | 0.9517 | 0.9521 |
|
119 |
+
| 0.0089 | 33.0 | 11055 | 0.1789 | 1.2859 | 0.9594 | 0.8411 | 0.0000 | 0.8933 | 0.0000 | 0.8655 | 0.0 | 0.8928 | 0.0 | 0.7433 | 0.5990 | 0.3454 | 0.1187 | -0.0189 | 0.7421 | 0.0195 | 0.7345 | -0.0072 | 0.1216 | 0.0166 | 0.0004 | 0.0065 | -0.0113 | 0.0 | 0.8897 | 0.9406 | 0.9448 | 0.9695 | 0.9436 | 0.9461 |
|
120 |
+
| 0.0065 | 34.0 | 11390 | 0.1866 | 1.3040 | 0.9754 | 0.8524 | 0.0000 | 0.8905 | 0.0000 | 0.8692 | 0.0 | 0.8899 | 0.0 | 0.7517 | 0.6136 | 0.4258 | 0.1658 | 0.0198 | 0.7300 | 0.0288 | 0.6163 | 0.0264 | 0.0000 | 0.0258 | 0.0000 | 0.0090 | 0.0081 | 0.01 | 0.8766 | 0.9325 | 0.9388 | 0.9746 | 0.9387 | 0.9379 |
|
121 |
|
122 |
|
123 |
### Framework versions
|
adapter_config.json
CHANGED
@@ -1,6 +1,6 @@
|
|
1 |
{
|
2 |
"auto_mapping": null,
|
3 |
-
"base_model_name_or_path": "facebook/
|
4 |
"fan_in_fan_out": false,
|
5 |
"feedforward_modules": [
|
6 |
"value",
|
|
|
1 |
{
|
2 |
"auto_mapping": null,
|
3 |
+
"base_model_name_or_path": "facebook/esm2_t33_650M_UR50D",
|
4 |
"fan_in_fan_out": false,
|
5 |
"feedforward_modules": [
|
6 |
"value",
|
adapter_model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:108bb927c4c0d064a4a474555fe5aad03762116cc9d690a957d861dfc4809f4b
|
3 |
+
size 440692544
|