metadata
base_model: dmis-lab/biobert-v1.1
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: bioBERT-finetuned-FPB-and-FiQA
results: []
bioBERT-finetuned-FPB-and-FiQA
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: 0.4440
- F1: 0.8000
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 1.0 | 329 | 0.4440 | 0.8000 |
| 0.588 | 2.0 | 658 | 0.4471 | 0.7709 |
| 0.588 | 3.0 | 987 | 0.5250 | 0.7902 |
| 0.2984 | 4.0 | 1316 | 0.5845 | 0.7631 |
| 0.1899 | 5.0 | 1645 | 0.6451 | 0.7689 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1