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README.md
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---
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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_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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# bio_bert_ft
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This model is a fine-tuned version of [dmis-lab/biobert-v1.1](https://huggingface.co/dmis-lab/biobert-v1.1) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0747
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- F1: 0.8621
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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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| 0.0879 | 1.0 | 170 | 0.0400 | 0.8312 |
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| 0.0211 | 2.0 | 340 | 0.0454 | 0.8413 |
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| 0.0105 | 3.0 | 510 | 0.0503 | 0.8603 |
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| 0.0045 | 4.0 | 680 | 0.0497 | 0.8496 |
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| 0.0028 | 5.0 | 850 | 0.0759 | 0.8387 |
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| 0.0019 | 6.0 | 1020 | 0.0654 | 0.8598 |
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| 0.0011 | 7.0 | 1190 | 0.0667 | 0.8654 |
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| 0.0005 | 8.0 | 1360 | 0.0702 | 0.8621 |
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| 0.0003 | 9.0 | 1530 | 0.0739 | 0.8596 |
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| 0.0002 | 10.0 | 1700 | 0.0747 | 0.8621 |
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### Framework versions
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- Transformers 4.20.1
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- Pytorch 1.11.0+cu113
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- Datasets 2.3.2
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- Tokenizers 0.12.1
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