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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: stbl_clinical_bert_ft_rs8 |
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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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# stbl_clinical_bert_ft_rs8 |
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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: 0.1016 |
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- F1: 0.9189 |
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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: 5e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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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: 12 |
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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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| 0.283 | 1.0 | 101 | 0.1003 | 0.8531 | |
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| 0.0682 | 2.0 | 202 | 0.0709 | 0.8999 | |
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| 0.0293 | 3.0 | 303 | 0.0782 | 0.9149 | |
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| 0.0172 | 4.0 | 404 | 0.0731 | 0.9160 | |
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| 0.0089 | 5.0 | 505 | 0.0827 | 0.9142 | |
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| 0.0056 | 6.0 | 606 | 0.0878 | 0.9199 | |
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| 0.0033 | 7.0 | 707 | 0.0953 | 0.9193 | |
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| 0.0024 | 8.0 | 808 | 0.0961 | 0.9200 | |
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| 0.0021 | 9.0 | 909 | 0.0947 | 0.9209 | |
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| 0.0018 | 10.0 | 1010 | 0.0980 | 0.9195 | |
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| 0.0011 | 11.0 | 1111 | 0.1013 | 0.9178 | |
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| 0.0011 | 12.0 | 1212 | 0.1016 | 0.9189 | |
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### Framework versions |
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- Transformers 4.22.2 |
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- Pytorch 1.12.1+cu113 |
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- Datasets 2.5.1 |
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- Tokenizers 0.12.1 |
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