biomedtra-small-es-finetuned-bioasq-es
This model is a fine-tuned version of mrm8488/biomedtra-small-es on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.9869
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.214 | 1.0 | 2802 | 2.1565 |
| 1.9885 | 2.0 | 5604 | 1.9794 |
| 1.9288 | 3.0 | 8406 | 1.9869 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1