metadata
license: mit
base_model: emanjavacas/GysBERT
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: results
results: []
results
This model is a fine-tuned version of emanjavacas/GysBERT on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6432
- Accuracy: 0.6773
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: 5e-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 | Accuracy |
|---|---|---|---|---|
| 0.7039 | 0.9091 | 100 | 0.6635 | 0.5977 |
| 0.6269 | 1.8182 | 200 | 0.6418 | 0.65 |
| 0.5328 | 2.7273 | 300 | 0.6432 | 0.6773 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Tokenizers 0.19.1