roberta-large-pos
This model is a fine-tuned version of PlanTL-GOB-ES/roberta-large-bne on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0721
- Precision: 0.9821
- Recall: 0.9856
- F1: 0.9838
- Accuracy: 0.9845
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.2213 | 1.0 | 603 | 0.0835 | 0.9761 | 0.9807 | 0.9784 | 0.9800 |
| 0.0336 | 2.0 | 1206 | 0.0756 | 0.9794 | 0.9832 | 0.9813 | 0.9808 |
| 0.0147 | 3.0 | 1809 | 0.0721 | 0.9821 | 0.9856 | 0.9838 | 0.9845 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Tokenizers 0.19.1
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Model tree for hugo-albert/roberta-large-pos
Base model
PlanTL-GOB-ES/roberta-large-bne