roberta-base-biomedical-clinical-es-finetuned-clinais
This model is a fine-tuned version of BSC-LT/roberta-base-biomedical-clinical-es on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3091
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: 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: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 171 | 1.3679 |
| 1.4311 | 2.0 | 342 | 1.2926 |
| 1.4311 | 3.0 | 513 | 1.2896 |
| 1.3363 | 4.0 | 684 | 1.3143 |
| 1.3363 | 5.0 | 855 | 1.3097 |
Framework versions
- Transformers 4.27.0.dev0
- Pytorch 1.13.0
- Datasets 2.8.0
- Tokenizers 0.12.1