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Model save

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  1. README.md +8 -10
  2. model.safetensors +1 -1
README.md CHANGED
@@ -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_t33_650M_UR50D](https://huggingface.co/facebook/esm2_t33_650M_UR50D) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.2770
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- - Accuracy: 0.7143
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 7
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 35 | 0.7696 | 0.5429 |
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- | No log | 2.0 | 70 | 0.6544 | 0.5714 |
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- | No log | 3.0 | 105 | 0.8123 | 0.6571 |
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- | No log | 4.0 | 140 | 0.9189 | 0.7429 |
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- | No log | 5.0 | 175 | 0.9507 | 0.7143 |
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- | No log | 6.0 | 210 | 1.1805 | 0.7429 |
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- | No log | 7.0 | 245 | 1.2770 | 0.7143 |
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  ### Framework versions
 
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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 the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4879
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+ - Accuracy: 0.8571
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 5
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 35 | 0.8073 | 0.3143 |
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+ | No log | 2.0 | 70 | 0.5859 | 0.8286 |
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+ | No log | 3.0 | 105 | 0.4817 | 0.8 |
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+ | No log | 4.0 | 140 | 0.4902 | 0.8 |
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+ | No log | 5.0 | 175 | 0.4879 | 0.8571 |
 
 
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  ### Framework versions
model.safetensors CHANGED
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