longformer-base-4096-bne-es-finetuned-clinais
This model is a fine-tuned version of PlanTL-GOB-ES/longformer-base-4096-bne-es on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.7533
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: 8
- eval_batch_size: 8
- 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 |
|---|---|---|---|
| 2.2298 | 1.0 | 102 | 1.8098 |
| 2.0755 | 2.0 | 204 | 1.8368 |
| 2.0273 | 3.0 | 306 | 1.7774 |
| 1.9818 | 4.0 | 408 | 1.7263 |
| 1.9824 | 5.0 | 510 | 1.7474 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3