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longformer-base-4096-biomedical-clinical-es-vih
This model is a fine-tuned version of PlanTL-GOB-ES/longformer-base-4096-biomedical-clinical-es on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3821
- Accuracy: 0.763
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: 3e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6327 | 1.0 | 750 | 0.5347 | 0.724 |
| 0.5336 | 2.0 | 1500 | 0.5497 | 0.7557 |
| 0.4211 | 3.0 | 2250 | 0.9538 | 0.7607 |
| 0.284 | 4.0 | 3000 | 1.0767 | 0.7623 |
| 0.1676 | 5.0 | 3750 | 1.3255 | 0.7603 |
| 0.1106 | 6.0 | 4500 | 1.3821 | 0.763 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3
