--- 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](https://huggingface.co/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