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Model save

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  1. README.md +14 -0
  2. model.safetensors +1 -1
README.md CHANGED
@@ -3,6 +3,8 @@ license: mit
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  base_model: facebook/esm2_t12_35M_UR50D
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  tags:
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  - generated_from_trainer
 
 
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  model-index:
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  - name: esm2_t12_35M_UR50D-finetuned-localization
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  results: []
@@ -14,6 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # esm2_t12_35M_UR50D-finetuned-localization
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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 an unknown dataset.
 
 
 
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  ## Model description
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@@ -40,6 +45,15 @@ The following hyperparameters were used during training:
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  - lr_scheduler_type: linear
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  - num_epochs: 3
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  ### Framework versions
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  - Transformers 4.39.3
 
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  base_model: facebook/esm2_t12_35M_UR50D
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  tags:
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  - generated_from_trainer
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+ metrics:
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+ - accuracy
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  model-index:
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  - name: esm2_t12_35M_UR50D-finetuned-localization
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  results: []
 
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  # esm2_t12_35M_UR50D-finetuned-localization
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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 an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0638
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+ - Accuracy: 0.9837
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  ## Model description
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  - lr_scheduler_type: linear
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  - num_epochs: 3
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 107 | 0.1286 | 0.9755 |
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+ | No log | 2.0 | 214 | 0.0711 | 0.9837 |
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+ | No log | 3.0 | 321 | 0.0638 | 0.9837 |
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+
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+
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  ### Framework versions
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  - Transformers 4.39.3
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@@ -1,3 +1,3 @@
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