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bert_adaptation_referencias_de_vinos
This model is a fine-tuned version of dccuchile/bert-base-spanish-wwm-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.7296
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: 15
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.06 | 1.0 | 750 | 2.4974 |
| 2.4463 | 2.0 | 1500 | 2.3140 |
| 2.2515 | 3.0 | 2250 | 2.1646 |
| 2.0962 | 4.0 | 3000 | 2.0073 |
| 2.0126 | 5.0 | 3750 | 2.0552 |
| 1.9271 | 6.0 | 4500 | 1.9176 |
| 1.8427 | 7.0 | 5250 | 1.8497 |
| 1.8009 | 8.0 | 6000 | 1.8579 |
| 1.7596 | 9.0 | 6750 | 1.8501 |
| 1.7049 | 10.0 | 7500 | 1.8178 |
| 1.6992 | 11.0 | 8250 | 1.7969 |
| 1.67 | 12.0 | 9000 | 1.8254 |
| 1.6272 | 13.0 | 9750 | 1.7340 |
| 1.6192 | 14.0 | 10500 | 1.7664 |
| 1.6209 | 15.0 | 11250 | 1.7281 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
