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  1. README.md +11 -11
  2. all_results.json +15 -0
  3. eval_results.json +15 -0
  4. model.safetensors +1 -1
  5. train_results.json +9 -0
  6. trainer_state.json +192 -0
README.md CHANGED
@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext](https://huggingface.co/microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.6273
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  ## Model description
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@@ -48,16 +48,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 1.8413 | 1.0 | 609 | 1.6335 |
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- | 1.6669 | 2.0 | 1218 | 1.6158 |
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- | 1.5622 | 3.0 | 1827 | 1.5574 |
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- | 1.4869 | 4.0 | 2436 | 1.6425 |
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- | 1.4155 | 5.0 | 3045 | 1.6174 |
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- | 1.389 | 6.0 | 3654 | 1.6719 |
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- | 1.3672 | 7.0 | 4263 | 1.6806 |
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- | 1.3322 | 8.0 | 4872 | 1.6567 |
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- | 1.306 | 9.0 | 5481 | 1.6370 |
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- | 1.3152 | 10.0 | 6090 | 1.6273 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext](https://huggingface.co/microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.6275
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 1.8412 | 1.0 | 609 | 1.6328 |
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+ | 1.6676 | 2.0 | 1218 | 1.6140 |
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+ | 1.5616 | 3.0 | 1827 | 1.5579 |
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+ | 1.4876 | 4.0 | 2436 | 1.6426 |
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+ | 1.416 | 5.0 | 3045 | 1.6180 |
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+ | 1.3898 | 6.0 | 3654 | 1.6720 |
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+ | 1.3674 | 7.0 | 4263 | 1.6823 |
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+ | 1.3325 | 8.0 | 4872 | 1.6565 |
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+ | 1.3063 | 9.0 | 5481 | 1.6364 |
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+ | 1.3161 | 10.0 | 6090 | 1.6275 |
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  ### Framework versions
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