metadata
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: biobert-base-cased-v1.2-multiclass-finetuned-PET2
results: []
biobert-base-cased-v1.2-multiclass-finetuned-PET2
This model is a fine-tuned version of dmis-lab/biobert-base-cased-v1.2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8075
- Accuracy: 0.5673
- F1: 0.4253
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 1.0175 | 1.0 | 14 | 0.8446 | 0.5625 | 0.4149 |
| 0.8634 | 2.0 | 28 | 0.8075 | 0.5673 | 0.4253 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.13.0
- Datasets 2.7.0
- Tokenizers 0.13.2