End of training
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README.md
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This model is a fine-tuned version of [facebook/esm2_t30_150M_UR50D](https://huggingface.co/facebook/esm2_t30_150M_UR50D) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.
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- Precision: 0.
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- Recall: 0.
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- F1: 0.
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- Auc: 0.
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- Mcc: 0.
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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.
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| No log | 2.0 | 216 | 0.
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| No log | 3.0 | 324 | 0.
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### Framework versions
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This model is a fine-tuned version of [facebook/esm2_t30_150M_UR50D](https://huggingface.co/facebook/esm2_t30_150M_UR50D) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6608
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- Accuracy: 0.7158
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- Precision: 0.1682
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- Recall: 0.5068
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- F1: 0.2526
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- Auc: 0.6223
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- Mcc: 0.1585
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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 | 0.6768 | 0.6886 | 0.1465 | 0.4740 | 0.2238 | 0.5925 | 0.1175 |
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| No log | 2.0 | 216 | 0.6646 | 0.6935 | 0.1628 | 0.5397 | 0.2502 | 0.6247 | 0.1573 |
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| No log | 3.0 | 324 | 0.6608 | 0.7158 | 0.1682 | 0.5068 | 0.2526 | 0.6223 | 0.1585 |
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### Framework versions
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model.safetensors
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