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Training in progress epoch 19

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  1. README.md +10 -7
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -15,13 +15,13 @@ probably proofread and complete it, then remove this comment. -->
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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: 0.0836
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- - Validation Loss: 0.3762
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- - Train Precision: 0.6377
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- - Train Recall: 0.7426
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- - Train F1: 0.6862
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- - Train Accuracy: 0.9001
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- - Epoch: 16
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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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