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Model save

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  1. README.md +8 -8
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@@ -17,8 +17,8 @@ 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: 7.7829
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- - F1: 0.0026
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  ## Model description
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | F1 |
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- |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | No log | 1.0 | 41 | 8.3558 | 0.0026 |
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- | No log | 2.0 | 82 | 7.9209 | 0.0026 |
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- | No log | 3.0 | 123 | 7.7829 | 0.0026 |
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  ### Framework versions
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  - Transformers 4.34.0
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  - Pytorch 2.1.0+cu121
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  - Datasets 2.14.5
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- - Tokenizers 0.14.0
 
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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: 9.0618
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+ - F1: 0.0
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | F1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:---:|
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+ | No log | 1.0 | 5 | 9.1061 | 0.0 |
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+ | No log | 2.0 | 10 | 9.0739 | 0.0 |
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+ | No log | 3.0 | 15 | 9.0618 | 0.0 |
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  ### Framework versions
 
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  - Transformers 4.34.0
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  - Pytorch 2.1.0+cu121
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  - Datasets 2.14.5
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+ - Tokenizers 0.14.1