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End of training

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README.md CHANGED
@@ -20,13 +20,13 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [facebook/esm2_t12_35M_UR50D](https://huggingface.co/facebook/esm2_t12_35M_UR50D) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6688
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- - Accuracy: 0.6211
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- - Precision: 0.1405
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- - Recall: 0.5863
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- - F1: 0.2267
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- - Auc: 0.6055
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- - Mcc: 0.1264
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  ## Model description
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@@ -58,9 +58,9 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Auc | Mcc |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:------:|:------:|
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- | No log | 1.0 | 108 | 0.6805 | 0.5162 | 0.1158 | 0.6192 | 0.1952 | 0.5623 | 0.0730 |
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- | No log | 2.0 | 216 | 0.6716 | 0.5824 | 0.1306 | 0.6027 | 0.2147 | 0.5915 | 0.1080 |
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- | No log | 3.0 | 324 | 0.6688 | 0.6211 | 0.1405 | 0.5863 | 0.2267 | 0.6055 | 0.1264 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [facebook/esm2_t12_35M_UR50D](https://huggingface.co/facebook/esm2_t12_35M_UR50D) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6696
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+ - Accuracy: 0.7332
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+ - Precision: 0.1614
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+ - Recall: 0.4329
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+ - F1: 0.2351
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+ - Auc: 0.5987
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+ - Mcc: 0.1329
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Auc | Mcc |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:------:|:------:|
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+ | No log | 1.0 | 108 | 0.6843 | 0.7039 | 0.1240 | 0.3507 | 0.1832 | 0.5458 | 0.0605 |
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+ | No log | 2.0 | 216 | 0.6733 | 0.7257 | 0.1561 | 0.4301 | 0.2290 | 0.5934 | 0.1245 |
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+ | No log | 3.0 | 324 | 0.6696 | 0.7332 | 0.1614 | 0.4329 | 0.2351 | 0.5987 | 0.1329 |
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  ### Framework versions
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