Training in progress epoch 19
Browse files- README.md +10 -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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@@ -64,6 +64,9 @@ The following hyperparameters were used during training:
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| 0.0945 | 0.3668 | 0.6494 | 0.7384 | 0.6910 | 0.9049 | 14 |
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| 0.0880 | 0.3704 | 0.6510 | 0.7321 | 0.6892 | 0.9038 | 15 |
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| 0.0836 | 0.3762 | 0.6377 | 0.7426 | 0.6862 | 0.9001 | 16 |
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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: 0.0693
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- Validation Loss: 0.3774
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- Train Precision: 0.6399
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- Train Recall: 0.7384
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- Train F1: 0.6856
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- Train Accuracy: 0.9030
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- Epoch: 19
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## Model description
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| 0.0945 | 0.3668 | 0.6494 | 0.7384 | 0.6910 | 0.9049 | 14 |
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| 0.0880 | 0.3704 | 0.6510 | 0.7321 | 0.6892 | 0.9038 | 15 |
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| 0.0836 | 0.3762 | 0.6377 | 0.7426 | 0.6862 | 0.9001 | 16 |
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| 0.0709 | 0.3765 | 0.6354 | 0.7426 | 0.6848 | 0.9020 | 17 |
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| 0.0755 | 0.3791 | 0.6347 | 0.7405 | 0.6835 | 0.9022 | 18 |
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| 0.0693 | 0.3774 | 0.6399 | 0.7384 | 0.6856 | 0.9030 | 19 |
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### Framework versions
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tf_model.h5
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