NLPGroupProject-Finetune-BioBert
This model is a fine-tuned version of 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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Model tree for BenjaminTT/NLPGroupProject-Finetune-BioBert
Base model
dmis-lab/biobert-v1.1
Finetuned
this model