<!-- This model card has been generated automatically according to the information Keras had access to. You should probably proofread and complete it, then remove this comment. -->
beto_amazon_final_pnn
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:
- Train Loss: 0.5242
- Train Accuracy: 0.7838
- Validation Loss: 0.6507
- Validation Accuracy: 0.7284
- Epoch: 4
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:
- optimizer: {'name': 'Adam', 'learning_rate': 5e-07, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32
Training results
| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
|---|---|---|---|---|
| 0.6129 | 0.7496 | 0.6588 | 0.7248 | 0 |
| 0.5850 | 0.7566 | 0.6505 | 0.7258 | 1 |
| 0.5604 | 0.7704 | 0.6484 | 0.7278 | 2 |
| 0.5407 | 0.7840 | 0.6503 | 0.7250 | 3 |
| 0.5242 | 0.7838 | 0.6507 | 0.7284 | 4 |
Framework versions
- Transformers 4.16.2
- TensorFlow 2.8.0
- Datasets 1.18.3
- Tokenizers 0.11.6
