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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
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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
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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: 0.1789
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- F1: 0.8523
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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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| 0.2786 | 1.0 | 95 | 0.1083 | 0.8090 |
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| 0.0654 | 2.0 | 190 | 0.1005 | 0.8475 |
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| 0.0299 | 3.0 | 285 | 0.1207 | 0.8481 |
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| 0.0146 | 4.0 | 380 | 0.1432 | 0.8454 |
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| 0.0088 | 5.0 | 475 | 0.1362 | 0.8475 |
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| 0.0056 | 6.0 | 570 | 0.1527 | 0.8518 |
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| 0.0037 | 7.0 | 665 | 0.1617 | 0.8519 |
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| 0.0022 | 8.0 | 760 | 0.1726 | 0.8495 |
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| 0.0018 | 9.0 | 855 | 0.1743 | 0.8527 |
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| 0.0014 | 10.0 | 950 | 0.1750 | 0.8463 |
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| 0.0014 | 11.0 | 1045 | 0.1775 | 0.8522 |
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| 0.001 | 12.0 | 1140 | 0.1789 | 0.8523 |
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### Framework versions
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- Transformers 4.21.2
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- Pytorch 1.12.1+cu113
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- Datasets 2.4.0
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- Tokenizers 0.12.1
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