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 an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1470
- Precision: 0.4316
- Recall: 0.5241
- F1: 0.4734
- Accuracy: 0.9568
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 |
|---|---|---|---|---|---|---|---|
| 0.3048 | 1.0 | 680 | 0.1771 | 0.3237 | 0.4429 | 0.3741 | 0.9440 |
| 0.1644 | 2.0 | 1360 | 0.1515 | 0.3912 | 0.4975 | 0.4380 | 0.9542 |
| 0.0965 | 3.0 | 2040 | 0.1470 | 0.4316 | 0.5241 | 0.4734 | 0.9568 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2