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update model card README.md
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README.md
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---
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license: mit
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tags:
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- generated_from_trainer
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metrics:
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- f1
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model-index:
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- name: Bio_ClinicalBERT_fold_6_ternary_v1
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# Bio_ClinicalBERT_fold_6_ternary_v1
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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: 1.7302
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- F1: 0.8128
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 25
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| No log | 1.0 | 292 | 0.5359 | 0.7833 |
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| 0.5585 | 2.0 | 584 | 0.5376 | 0.8026 |
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| 0.5585 | 3.0 | 876 | 0.6117 | 0.8038 |
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| 0.2314 | 4.0 | 1168 | 0.8036 | 0.7974 |
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| 0.2314 | 5.0 | 1460 | 0.9467 | 0.8179 |
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| 0.1093 | 6.0 | 1752 | 1.2957 | 0.7923 |
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| 0.0384 | 7.0 | 2044 | 1.3423 | 0.8026 |
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| 0.0384 | 8.0 | 2336 | 1.2644 | 0.8218 |
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| 0.021 | 9.0 | 2628 | 1.3093 | 0.8231 |
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| 0.021 | 10.0 | 2920 | 1.3282 | 0.8179 |
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| 0.0129 | 11.0 | 3212 | 1.3853 | 0.8295 |
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| 0.0078 | 12.0 | 3504 | 1.4705 | 0.8154 |
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| 0.0078 | 13.0 | 3796 | 1.5063 | 0.8167 |
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| 0.0064 | 14.0 | 4088 | 1.5293 | 0.8179 |
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| 0.0064 | 15.0 | 4380 | 1.6303 | 0.8128 |
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| 0.0085 | 16.0 | 4672 | 1.5945 | 0.8115 |
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| 0.0085 | 17.0 | 4964 | 1.6899 | 0.8103 |
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| 0.0056 | 18.0 | 5256 | 1.6952 | 0.8064 |
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| 0.0055 | 19.0 | 5548 | 1.7550 | 0.7936 |
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| 0.0055 | 20.0 | 5840 | 1.6779 | 0.8141 |
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| 0.003 | 21.0 | 6132 | 1.7064 | 0.8128 |
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| 0.003 | 22.0 | 6424 | 1.7192 | 0.8154 |
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| 0.0013 | 23.0 | 6716 | 1.8188 | 0.7974 |
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| 0.0014 | 24.0 | 7008 | 1.7273 | 0.8128 |
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| 0.0014 | 25.0 | 7300 | 1.7302 | 0.8128 |
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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
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