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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: clinical_bio_bert_ft |
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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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# clinical_bio_bert_ft |
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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: 0.2570 |
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- F1: 0.8160 |
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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: 10 |
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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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| 0.6327 | 1.0 | 95 | 0.2442 | 0.7096 | |
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| 0.1692 | 2.0 | 190 | 0.2050 | 0.7701 | |
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| 0.0878 | 3.0 | 285 | 0.1923 | 0.8002 | |
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| 0.0493 | 4.0 | 380 | 0.2234 | 0.8079 | |
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| 0.0302 | 5.0 | 475 | 0.2250 | 0.8090 | |
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| 0.0191 | 6.0 | 570 | 0.2363 | 0.8145 | |
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| 0.0132 | 7.0 | 665 | 0.2489 | 0.8178 | |
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| 0.0102 | 8.0 | 760 | 0.2494 | 0.8152 | |
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| 0.008 | 9.0 | 855 | 0.2542 | 0.8191 | |
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| 0.0068 | 10.0 | 950 | 0.2570 | 0.8160 | |
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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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