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Bio_ClinicalBERT_fold_1_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: 1.8783
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- - F1: 0.8042
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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 | 290 | 0.5323 | 0.7819 |
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- | 0.5531 | 2.0 | 580 | 0.5995 | 0.7931 |
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- | 0.5531 | 3.0 | 870 | 0.6572 | 0.8042 |
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- | 0.2201 | 4.0 | 1160 | 0.9170 | 0.7955 |
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- | 0.2201 | 5.0 | 1450 | 1.1525 | 0.8005 |
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- | 0.1047 | 6.0 | 1740 | 1.1867 | 0.7955 |
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- | 0.0433 | 7.0 | 2030 | 1.3831 | 0.7918 |
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- | 0.0433 | 8.0 | 2320 | 1.4563 | 0.7968 |
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- | 0.0203 | 9.0 | 2610 | 1.5230 | 0.7980 |
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- | 0.0203 | 10.0 | 2900 | 1.5414 | 0.8030 |
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- | 0.0153 | 11.0 | 3190 | 1.7264 | 0.7906 |
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- | 0.0153 | 12.0 | 3480 | 1.7484 | 0.7943 |
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- | 0.0107 | 13.0 | 3770 | 1.9014 | 0.7844 |
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- | 0.008 | 14.0 | 4060 | 1.7726 | 0.7968 |
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- | 0.008 | 15.0 | 4350 | 1.7958 | 0.8005 |
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- | 0.0091 | 16.0 | 4640 | 1.8139 | 0.7955 |
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- | 0.0091 | 17.0 | 4930 | 1.8235 | 0.7993 |
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- | 0.0056 | 18.0 | 5220 | 1.8262 | 0.8017 |
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- | 0.0019 | 19.0 | 5510 | 1.8121 | 0.8129 |
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- | 0.0019 | 20.0 | 5800 | 1.8325 | 0.8166 |
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- | 0.0022 | 21.0 | 6090 | 1.8798 | 0.8017 |
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- | 0.0022 | 22.0 | 6380 | 1.9708 | 0.7955 |
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- | 0.0027 | 23.0 | 6670 | 1.9371 | 0.8017 |
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- | 0.0027 | 24.0 | 6960 | 1.8899 | 0.8042 |
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- | 0.0002 | 25.0 | 7250 | 1.8783 | 0.8042 |
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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: 1.9306
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+ - F1: 0.7943
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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 | 290 | 0.5314 | 0.7931 |
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+ | 0.556 | 2.0 | 580 | 0.5572 | 0.8042 |
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+ | 0.556 | 3.0 | 870 | 0.6381 | 0.7893 |
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+ | 0.2427 | 4.0 | 1160 | 0.9330 | 0.7807 |
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+ | 0.2427 | 5.0 | 1450 | 1.1033 | 0.7918 |
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+ | 0.0987 | 6.0 | 1740 | 1.2582 | 0.7856 |
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+ | 0.0381 | 7.0 | 2030 | 1.3816 | 0.7807 |
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+ | 0.0381 | 8.0 | 2320 | 1.5874 | 0.7807 |
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+ | 0.0199 | 9.0 | 2610 | 1.5712 | 0.7856 |
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+ | 0.0199 | 10.0 | 2900 | 1.5860 | 0.7856 |
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+ | 0.0139 | 11.0 | 3190 | 1.7511 | 0.7757 |
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+ | 0.0139 | 12.0 | 3480 | 1.7635 | 0.7807 |
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+ | 0.0056 | 13.0 | 3770 | 1.7726 | 0.7893 |
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+ | 0.0077 | 14.0 | 4060 | 1.7565 | 0.7881 |
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+ | 0.0077 | 15.0 | 4350 | 1.8406 | 0.7844 |
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+ | 0.005 | 16.0 | 4640 | 1.8595 | 0.7893 |
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+ | 0.005 | 17.0 | 4930 | 1.8831 | 0.7770 |
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+ | 0.0036 | 18.0 | 5220 | 1.9561 | 0.7881 |
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+ | 0.0017 | 19.0 | 5510 | 2.0062 | 0.7856 |
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+ | 0.0017 | 20.0 | 5800 | 1.9275 | 0.7980 |
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+ | 0.0004 | 21.0 | 6090 | 1.8752 | 0.7993 |
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+ | 0.0004 | 22.0 | 6380 | 1.9238 | 0.7918 |
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+ | 0.0022 | 23.0 | 6670 | 1.9552 | 0.7881 |
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+ | 0.0022 | 24.0 | 6960 | 1.9274 | 0.7955 |
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+ | 0.0009 | 25.0 | 7250 | 1.9306 | 0.7943 |
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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