results
This model is a fine-tuned version of dmis-lab/biobert-base-cased-v1.2 on the epi_classify4_gard dataset. It achieves the following results on the evaluation set:
- Loss: 0.0541
- Precision: 0.875
- Recall: 0.9032
- F1: 0.8889
- Accuracy: 0.986
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: 3e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 2
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4.0
Training results
Framework versions
- Transformers 4.12.5
- Pytorch 1.9.0+cu102
- Datasets 1.12.1
- Tokenizers 0.10.3
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Evaluation results
- Precision on epi_classify4_gardself-reported0.875
- Recall on epi_classify4_gardself-reported0.903
- F1 on epi_classify4_gardself-reported0.889
- Accuracy on epi_classify4_gardself-reported0.986