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Bio_ClinicalBERT_fold_2_ternary_v1

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update model card README.md

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@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [emilyalsentzer/Bio_ClinicalBERT](https://huggingface.co/emilyalsentzer/Bio_ClinicalBERT) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.8379
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- - F1: 0.7970
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  ## Model description
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@@ -48,36 +48,36 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | No log | 1.0 | 294 | 0.5573 | 0.7645 |
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- | 0.558 | 2.0 | 588 | 0.4940 | 0.8133 |
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- | 0.558 | 3.0 | 882 | 0.6569 | 0.7984 |
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- | 0.2332 | 4.0 | 1176 | 0.9006 | 0.7943 |
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- | 0.2332 | 5.0 | 1470 | 1.0598 | 0.7943 |
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- | 0.1016 | 6.0 | 1764 | 1.2016 | 0.8011 |
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- | 0.0374 | 7.0 | 2058 | 1.2670 | 0.7970 |
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- | 0.0374 | 8.0 | 2352 | 1.3962 | 0.8065 |
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- | 0.0196 | 9.0 | 2646 | 1.3871 | 0.8092 |
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- | 0.0196 | 10.0 | 2940 | 1.4636 | 0.8106 |
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- | 0.0113 | 11.0 | 3234 | 1.4908 | 0.8065 |
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- | 0.008 | 12.0 | 3528 | 1.5714 | 0.7930 |
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- | 0.008 | 13.0 | 3822 | 1.5383 | 0.8119 |
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- | 0.0056 | 14.0 | 4116 | 1.5784 | 0.8106 |
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- | 0.0056 | 15.0 | 4410 | 1.7421 | 0.7957 |
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- | 0.0084 | 16.0 | 4704 | 1.7423 | 0.8011 |
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- | 0.0084 | 17.0 | 4998 | 1.7502 | 0.7984 |
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- | 0.0023 | 18.0 | 5292 | 1.8131 | 0.7943 |
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- | 0.0057 | 19.0 | 5586 | 1.7784 | 0.8024 |
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- | 0.0057 | 20.0 | 5880 | 1.8324 | 0.8011 |
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- | 0.0023 | 21.0 | 6174 | 1.8269 | 0.8051 |
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- | 0.0023 | 22.0 | 6468 | 1.8622 | 0.7916 |
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- | 0.0018 | 23.0 | 6762 | 1.8553 | 0.7957 |
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- | 0.0024 | 24.0 | 7056 | 1.8445 | 0.7943 |
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- | 0.0024 | 25.0 | 7350 | 1.8379 | 0.7970 |
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  ### Framework versions
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- - Transformers 4.21.0
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  - Pytorch 1.12.0+cu113
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  - Datasets 2.4.0
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  - Tokenizers 0.12.1
 
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  This model is a fine-tuned version of [emilyalsentzer/Bio_ClinicalBERT](https://huggingface.co/emilyalsentzer/Bio_ClinicalBERT) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.8186
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+ - F1: 0.8038
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | No log | 1.0 | 294 | 0.5629 | 0.7645 |
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+ | 0.5579 | 2.0 | 588 | 0.5078 | 0.8078 |
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+ | 0.5579 | 3.0 | 882 | 0.6622 | 0.7754 |
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+ | 0.2341 | 4.0 | 1176 | 0.8584 | 0.7943 |
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+ | 0.2341 | 5.0 | 1470 | 1.1953 | 0.7821 |
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+ | 0.0942 | 6.0 | 1764 | 1.3193 | 0.7876 |
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+ | 0.0338 | 7.0 | 2058 | 1.3324 | 0.7903 |
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+ | 0.0338 | 8.0 | 2352 | 1.5043 | 0.7930 |
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+ | 0.0202 | 9.0 | 2646 | 1.5255 | 0.7889 |
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+ | 0.0202 | 10.0 | 2940 | 1.5382 | 0.7916 |
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+ | 0.0119 | 11.0 | 3234 | 1.6377 | 0.7903 |
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+ | 0.0051 | 12.0 | 3528 | 1.7349 | 0.7835 |
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+ | 0.0051 | 13.0 | 3822 | 1.7297 | 0.7835 |
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+ | 0.0082 | 14.0 | 4116 | 1.7817 | 0.7808 |
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+ | 0.0082 | 15.0 | 4410 | 1.7105 | 0.7970 |
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+ | 0.0054 | 16.0 | 4704 | 1.7325 | 0.7984 |
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+ | 0.0054 | 17.0 | 4998 | 1.7919 | 0.7943 |
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+ | 0.0049 | 18.0 | 5292 | 1.8850 | 0.7876 |
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+ | 0.0045 | 19.0 | 5586 | 1.8237 | 0.7916 |
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+ | 0.0045 | 20.0 | 5880 | 1.8760 | 0.7970 |
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+ | 0.0024 | 21.0 | 6174 | 1.8544 | 0.7984 |
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+ | 0.0024 | 22.0 | 6468 | 1.7852 | 0.8011 |
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+ | 0.0005 | 23.0 | 6762 | 1.7795 | 0.8065 |
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+ | 0.0031 | 24.0 | 7056 | 1.7978 | 0.7997 |
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+ | 0.0031 | 25.0 | 7350 | 1.8186 | 0.8038 |
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  ### Framework versions
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+ - Transformers 4.21.1
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  - Pytorch 1.12.0+cu113
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  - Datasets 2.4.0
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  - Tokenizers 0.12.1