End of training
Browse files- README.md +70 -0
- model.safetensors +1 -1
README.md
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---
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base_model: dmis-lab/biobert-v1.1
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: NLPGroupProject-Finetune-BioBert
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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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# NLPGroupProject-Finetune-BioBert
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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 an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.3977
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- Accuracy: 0.717
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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: 4
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- eval_batch_size: 4
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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: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 0.25 | 250 | 0.7935 | 0.706 |
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| 0.8891 | 0.5 | 500 | 0.7591 | 0.718 |
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| 0.8891 | 0.75 | 750 | 1.0569 | 0.713 |
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| 0.8322 | 1.0 | 1000 | 0.7604 | 0.698 |
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| 0.8322 | 1.25 | 1250 | 0.7878 | 0.713 |
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| 0.5962 | 1.5 | 1500 | 0.9118 | 0.724 |
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| 0.5962 | 1.75 | 1750 | 0.8485 | 0.723 |
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| 0.5589 | 2.0 | 2000 | 0.8411 | 0.717 |
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| 0.5589 | 2.25 | 2250 | 1.3105 | 0.721 |
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| 0.2834 | 2.5 | 2500 | 1.4089 | 0.706 |
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| 0.2834 | 2.75 | 2750 | 1.3467 | 0.718 |
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| 0.2876 | 3.0 | 3000 | 1.3977 | 0.717 |
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### Framework versions
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- Transformers 4.40.0
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- Pytorch 2.2.2+cu118
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- Datasets 2.19.0
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- Tokenizers 0.19.1
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
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size 433267692
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version https://git-lfs.github.com/spec/v1
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size 433267692
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