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---
base_model: dmis-lab/biobert-v1.1
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: NLPGroupProject-Finetune-BioBert
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# NLPGroupProject-Finetune-BioBert
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.
It achieves the following results on the evaluation set:
- Loss: 1.3977
- Accuracy: 0.717
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log | 0.25 | 250 | 0.7935 | 0.706 |
| 0.8891 | 0.5 | 500 | 0.7591 | 0.718 |
| 0.8891 | 0.75 | 750 | 1.0569 | 0.713 |
| 0.8322 | 1.0 | 1000 | 0.7604 | 0.698 |
| 0.8322 | 1.25 | 1250 | 0.7878 | 0.713 |
| 0.5962 | 1.5 | 1500 | 0.9118 | 0.724 |
| 0.5962 | 1.75 | 1750 | 0.8485 | 0.723 |
| 0.5589 | 2.0 | 2000 | 0.8411 | 0.717 |
| 0.5589 | 2.25 | 2250 | 1.3105 | 0.721 |
| 0.2834 | 2.5 | 2500 | 1.4089 | 0.706 |
| 0.2834 | 2.75 | 2750 | 1.3467 | 0.718 |
| 0.2876 | 3.0 | 3000 | 1.3977 | 0.717 |
### Framework versions
- Transformers 4.40.0
- Pytorch 2.2.2+cu118
- Datasets 2.19.0
- Tokenizers 0.19.1
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