Training in progress epoch 12
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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@@ -57,6 +57,9 @@ The following hyperparameters were used during training:
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| 0.2042 | 0.3500 | 0.6325 | 0.6646 | 0.6481 | 0.9004 | 7 |
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| 0.1721 | 0.3511 | 0.5891 | 0.7046 | 0.6417 | 0.8964 | 8 |
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| 0.1516 | 0.3692 | 0.6264 | 0.7004 | 0.6614 | 0.9017 | 9 |
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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: 0.0981
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- Validation Loss: 0.3764
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- Train Precision: 0.6444
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- Train Recall: 0.7342
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- Train F1: 0.6864
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- Train Accuracy: 0.9014
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- Epoch: 12
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## Model description
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| 0.2042 | 0.3500 | 0.6325 | 0.6646 | 0.6481 | 0.9004 | 7 |
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| 0.1721 | 0.3511 | 0.5891 | 0.7046 | 0.6417 | 0.8964 | 8 |
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| 0.1516 | 0.3692 | 0.6264 | 0.7004 | 0.6614 | 0.9017 | 9 |
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| 0.1281 | 0.3477 | 0.6508 | 0.7194 | 0.6834 | 0.9046 | 10 |
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| 0.1058 | 0.3701 | 0.6232 | 0.7257 | 0.6706 | 0.9012 | 11 |
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| 0.0981 | 0.3764 | 0.6444 | 0.7342 | 0.6864 | 0.9014 | 12 |
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### Framework versions
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tf_model.h5
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size 435873780
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version https://git-lfs.github.com/spec/v1
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size 435873780
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