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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_1_binary_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_1_binary_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: 1.7322
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- F1: 0.8131
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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 | 288 | 0.4195 | 0.8033 |
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| 0.3947 | 2.0 | 576 | 0.4000 | 0.8193 |
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| 0.3947 | 3.0 | 864 | 0.6877 | 0.7952 |
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| 0.1822 | 4.0 | 1152 | 0.8430 | 0.8126 |
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| 0.1822 | 5.0 | 1440 | 0.9751 | 0.7999 |
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| 0.0766 | 6.0 | 1728 | 1.1384 | 0.8130 |
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| 0.0279 | 7.0 | 2016 | 1.2097 | 0.8021 |
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| 0.0279 | 8.0 | 2304 | 1.5105 | 0.7969 |
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| 0.0164 | 9.0 | 2592 | 1.5203 | 0.8010 |
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| 0.0164 | 10.0 | 2880 | 1.5394 | 0.7967 |
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| 0.0111 | 11.0 | 3168 | 1.6315 | 0.8011 |
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| 0.0111 | 12.0 | 3456 | 1.6380 | 0.7996 |
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| 0.0071 | 13.0 | 3744 | 1.6066 | 0.8095 |
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| 0.0067 | 14.0 | 4032 | 1.6603 | 0.8127 |
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| 0.0067 | 15.0 | 4320 | 1.6588 | 0.8088 |
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| 0.0053 | 16.0 | 4608 | 1.6856 | 0.8019 |
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| 0.0053 | 17.0 | 4896 | 1.7031 | 0.8113 |
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| 0.0056 | 18.0 | 5184 | 1.6708 | 0.8019 |
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| 0.0056 | 19.0 | 5472 | 1.6937 | 0.8135 |
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| 0.0048 | 20.0 | 5760 | 1.6495 | 0.8028 |
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| 0.0044 | 21.0 | 6048 | 1.5817 | 0.8108 |
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| 0.0044 | 22.0 | 6336 | 1.6462 | 0.8177 |
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| 0.0 | 23.0 | 6624 | 1.6896 | 0.8122 |
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| 0.0 | 24.0 | 6912 | 1.7274 | 0.8122 |
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| 0.0001 | 25.0 | 7200 | 1.7322 | 0.8131 |
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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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