metadata
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
model-index:
- name: biobert-v1.1-BC2GM-IOBES
results: []
biobert-v1.1-BC2GM-IOBES
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2095
- Precision: 0.4505
- Recall: 0.4762
- F1: 0.4630
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: 1e-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 | Precision | Recall | F1 |
|---|---|---|---|---|---|---|
| 0.1812 | 1.0 | 2 | 0.2149 | 0.4706 | 0.4571 | 0.4638 |
| 0.1812 | 2.0 | 4 | 0.2109 | 0.4519 | 0.4476 | 0.4498 |
| 0.1812 | 3.0 | 6 | 0.2095 | 0.4505 | 0.4762 | 0.4630 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.3.1+cu121
- Datasets 2.19.1
- Tokenizers 0.13.3