Training in progress epoch 9
Browse files- README.md +9 -7
- tf_model.h5 +1 -1
README.md
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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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- Train Loss: 0.
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- Validation Loss: 0.
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- Train Precision: 0.
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- Train Recall: 0.
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- Train F1: 0.
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- Train Accuracy: 0.
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- Epoch:
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## Model description
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@@ -55,6 +55,8 @@ The following hyperparameters were used during training:
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| 0.3260 | 0.3918 | 0.6306 | 0.5907 | 0.6100 | 0.8937 | 5 |
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| 0.2682 | 0.3682 | 0.5989 | 0.6709 | 0.6328 | 0.8985 | 6 |
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| 0.2240 | 0.3445 | 0.6355 | 0.6730 | 0.6537 | 0.9041 | 7 |
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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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- Train Loss: 0.1672
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- Validation Loss: 0.3609
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- Train Precision: 0.5721
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- Train Recall: 0.7278
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- Train F1: 0.6407
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- Train Accuracy: 0.8908
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- Epoch: 9
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## Model description
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| 0.3260 | 0.3918 | 0.6306 | 0.5907 | 0.6100 | 0.8937 | 5 |
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| 0.2682 | 0.3682 | 0.5989 | 0.6709 | 0.6328 | 0.8985 | 6 |
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| 0.2240 | 0.3445 | 0.6355 | 0.6730 | 0.6537 | 0.9041 | 7 |
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| 0.1891 | 0.3593 | 0.5736 | 0.7152 | 0.6366 | 0.8913 | 8 |
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| 0.1672 | 0.3609 | 0.5721 | 0.7278 | 0.6407 | 0.8908 | 9 |
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### Framework versions
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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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size 435873780
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