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bert-base-spanish-wwm-cased-finetuned-wine-reviews_spanish
This model is a fine-tuned version of dccuchile/bert-base-spanish-wwm-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6168
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.3631 | 1.0 | 248 | 1.8869 |
| 1.9213 | 2.0 | 496 | 1.7766 |
| 1.8088 | 3.0 | 744 | 1.6643 |
| 1.7509 | 4.0 | 992 | 1.6665 |
| 1.7232 | 5.0 | 1240 | 1.6300 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
