metadata
license: mit
base_model: microsoft/biogpt
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: biogpt-disease-ner
results: []
biogpt-disease-ner
This model is a fine-tuned version of microsoft/biogpt on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1525
- Precision: 0.5241
- Recall: 0.6075
- F1: 0.5628
- Accuracy: 0.9522
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: 8
- eval_batch_size: 8
- 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 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.27 | 1.0 | 593 | 0.1769 | 0.4632 | 0.4523 | 0.4577 | 0.9395 |
| 0.1581 | 2.0 | 1186 | 0.1561 | 0.5337 | 0.5083 | 0.5207 | 0.9475 |
| 0.1225 | 3.0 | 1779 | 0.1525 | 0.5241 | 0.6075 | 0.5628 | 0.9522 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1