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Training complete

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README.md CHANGED
@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [allenai/biomed_roberta_base](https://huggingface.co/allenai/biomed_roberta_base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0957
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- - Precision: 0.8174
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- - Recall: 0.8204
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- - F1: 0.8189
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- - Accuracy: 0.9769
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  ## Model description
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@@ -57,11 +57,11 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | No log | 1.0 | 427 | 0.0818 | 0.8084 | 0.7885 | 0.7983 | 0.9756 |
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- | 0.263 | 2.0 | 854 | 0.0760 | 0.8029 | 0.8081 | 0.8055 | 0.9766 |
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- | 0.0608 | 3.0 | 1281 | 0.0818 | 0.7963 | 0.8199 | 0.8079 | 0.9754 |
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- | 0.046 | 4.0 | 1708 | 0.0904 | 0.8048 | 0.8232 | 0.8139 | 0.9759 |
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- | 0.0327 | 5.0 | 2135 | 0.0957 | 0.8174 | 0.8204 | 0.8189 | 0.9769 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [allenai/biomed_roberta_base](https://huggingface.co/allenai/biomed_roberta_base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1094
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+ - Precision: 0.8151
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+ - Recall: 0.7999
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+ - F1: 0.8074
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+ - Accuracy: 0.9737
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | 0.3008 | 1.0 | 613 | 0.0937 | 0.8042 | 0.7705 | 0.7870 | 0.9727 |
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+ | 0.0799 | 2.0 | 1226 | 0.0873 | 0.8103 | 0.7936 | 0.8019 | 0.9744 |
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+ | 0.0649 | 3.0 | 1839 | 0.0888 | 0.8179 | 0.7930 | 0.8053 | 0.9748 |
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+ | 0.053 | 4.0 | 2452 | 0.0966 | 0.8082 | 0.7978 | 0.8029 | 0.9732 |
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+ | 0.0321 | 5.0 | 3065 | 0.1094 | 0.8151 | 0.7999 | 0.8074 | 0.9737 |
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  ### Framework versions
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