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Training complete

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@@ -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 [microsoft/biogpt](https://huggingface.co/microsoft/biogpt) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1519
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- - Precision: 0.4616
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- - Recall: 0.5578
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- - F1: 0.5052
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- - Accuracy: 0.9580
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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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- | 0.3151 | 1.0 | 679 | 0.1658 | 0.3299 | 0.4066 | 0.3643 | 0.9487 |
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- | 0.1695 | 2.0 | 1358 | 0.1571 | 0.4186 | 0.5095 | 0.4596 | 0.9542 |
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- | 0.0994 | 3.0 | 2037 | 0.1519 | 0.4616 | 0.5578 | 0.5052 | 0.9580 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [microsoft/biogpt](https://huggingface.co/microsoft/biogpt) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1455
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+ - Precision: 0.4466
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+ - Recall: 0.5476
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+ - F1: 0.4920
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+ - Accuracy: 0.9579
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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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+ | 0.3067 | 1.0 | 679 | 0.1668 | 0.3167 | 0.4358 | 0.3668 | 0.9470 |
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+ | 0.1696 | 2.0 | 1358 | 0.1520 | 0.4094 | 0.5108 | 0.4545 | 0.9532 |
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+ | 0.0952 | 3.0 | 2037 | 0.1455 | 0.4466 | 0.5476 | 0.4920 | 0.9579 |
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  ### Framework versions