metadata
license: mit
base_model: microsoft/biogpt
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bioGPT_finetuned_ncbi
results: []
bioGPT_finetuned_ncbi
This model is a fine-tuned version of microsoft/biogpt on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2107
- Precision: 0.5162
- Recall: 0.5990
- F1: 0.5545
- Accuracy: 0.9533
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: 4
- eval_batch_size: 4
- 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 |
|---|---|---|---|---|---|---|---|
| 0.0935 | 1.0 | 1358 | 0.2175 | 0.4239 | 0.5365 | 0.4736 | 0.9486 |
| 0.0585 | 2.0 | 2716 | 0.2052 | 0.4431 | 0.5927 | 0.5071 | 0.9490 |
| 0.0416 | 3.0 | 4074 | 0.2107 | 0.5162 | 0.5990 | 0.5545 | 0.9533 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2