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medbioinformatics/biobert-v1.1-text-classifier

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README.md CHANGED
@@ -19,11 +19,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [dmis-lab/biobert-v1.1](https://huggingface.co/dmis-lab/biobert-v1.1) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3062
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- - Precision: 0.9119
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- - Recall: 0.9097
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- - Accuracy: 0.9097
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- - F1: 0.9098
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  ## Model description
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  This model is a fine-tuned version of [dmis-lab/biobert-v1.1](https://huggingface.co/dmis-lab/biobert-v1.1) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2774
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+ - Precision: 0.9107
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+ - Recall: 0.9072
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+ - Accuracy: 0.9072
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+ - F1: 0.9074
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  ## Model description
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runs/Feb16_08-57-01_1840cdbf14a3/events.out.tfevents.1708074737.1840cdbf14a3.743.2 ADDED
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