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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_rs5
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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_rs5
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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: 0.0936
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- F1: 0.9268
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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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| 0.2723 | 1.0 | 101 | 0.0875 | 0.8479 |
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| 0.066 | 2.0 | 202 | 0.0688 | 0.9002 |
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| 0.0328 | 3.0 | 303 | 0.0668 | 0.9070 |
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| 0.0179 | 4.0 | 404 | 0.0689 | 0.9129 |
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| 0.0098 | 5.0 | 505 | 0.0790 | 0.9147 |
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| 0.0069 | 6.0 | 606 | 0.0805 | 0.9205 |
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| 0.0033 | 7.0 | 707 | 0.0835 | 0.9268 |
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| 0.0022 | 8.0 | 808 | 0.0904 | 0.9262 |
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| 0.0021 | 9.0 | 909 | 0.0882 | 0.9263 |
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| 0.0015 | 10.0 | 1010 | 0.0933 | 0.9289 |
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| 0.0009 | 11.0 | 1111 | 0.0921 | 0.9311 |
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| 0.0009 | 12.0 | 1212 | 0.0936 | 0.9268 |
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### Framework versions
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- Transformers 4.22.1
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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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