<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
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: 2.4704
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.7269 | 1.0 | 375 | 3.0497 |
| 2.9328 | 2.0 | 750 | 2.7255 |
| 2.7404 | 3.0 | 1125 | 2.7349 |
| 2.5953 | 4.0 | 1500 | 2.6279 |
| 2.5463 | 5.0 | 1875 | 2.5809 |
| 2.4262 | 6.0 | 2250 | 2.5138 |
| 2.3802 | 7.0 | 2625 | 2.4732 |
| 2.3381 | 8.0 | 3000 | 2.4881 |
| 2.2689 | 9.0 | 3375 | 2.4361 |
| 2.2619 | 10.0 | 3750 | 2.4239 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
