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roberta-bne-clara
This model is a fine-tuned version of roberta-bne on the Diario de Madrid dataset. It achieves the following results on the evaluation set:
- Loss: 0.2078
- F1: 0.5174
- Precision: 0.4561
- Recall: 0.5977
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: 5e-05
- train_batch_size: 12
- eval_batch_size: 12
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Precision | Recall |
|---|---|---|---|---|---|---|
| 0.7026 | 1.0 | 103 | 0.2844 | 0.4720 | 0.5135 | 0.4368 |
| 0.325 | 2.0 | 206 | 0.1715 | 0.5665 | 0.5698 | 0.5632 |
| 0.2094 | 3.0 | 309 | 0.1452 | 0.6294 | 0.5636 | 0.7126 |
| 0.1416 | 4.0 | 412 | 0.1508 | 0.5178 | 0.4636 | 0.5862 |
| 0.1058 | 5.0 | 515 | 0.1794 | 0.5700 | 0.4917 | 0.6782 |
| 0.0711 | 6.0 | 618 | 0.1743 | 0.5510 | 0.4954 | 0.6207 |
| 0.0489 | 7.0 | 721 | 0.1900 | 0.5895 | 0.5437 | 0.6437 |
| 0.0373 | 8.0 | 824 | 0.1841 | 0.6131 | 0.5446 | 0.7011 |
| 0.0277 | 9.0 | 927 | 0.1954 | 0.5445 | 0.5 | 0.5977 |
| 0.0215 | 10.0 | 1030 | 0.2078 | 0.5174 | 0.4561 | 0.5977 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 1.16.1
- Tokenizers 0.13.2
