modality_classifier_biobert_weighted_classes_v0
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: 0.0510
- F1: 0.9911
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- 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 | F1 |
|---|---|---|---|---|
| 0.0008 | 1.0 | 849 | 0.0325 | 0.9897 |
| 0.0003 | 2.0 | 1698 | 0.0426 | 0.9902 |
| 0.0001 | 3.0 | 2547 | 0.0510 | 0.9911 |
Framework versions
- Transformers 4.39.0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for Granoladata/modality_classifier_biobert_weighted_classes_v0
Base model
dmis-lab/biobert-v1.1