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P4B10/distill-bert-base-spanish-wwm-cased-finetuned-spa-squad2-es-retrained-pabloV2
This model is a fine-tuned version of mrm8488/distill-bert-base-spanish-wwm-cased-finetuned-spa-squad2-es on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 3.6987
- Train End Logits Accuracy: 0.1667
- Train Start Logits Accuracy: 0.6667
- Validation Loss: 3.5079
- Validation End Logits Accuracy: 0.3333
- Validation Start Logits Accuracy: 0.5
- Epoch: 1
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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 2, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
- training_precision: float32
Training results
| Train Loss | Train End Logits Accuracy | Train Start Logits Accuracy | Validation Loss | Validation End Logits Accuracy | Validation Start Logits Accuracy | Epoch |
|---|---|---|---|---|---|---|
| 4.7810 | 0.1667 | 0.1667 | 4.1652 | 0.1667 | 0.5 | 0 |
| 3.6987 | 0.1667 | 0.6667 | 3.5079 | 0.3333 | 0.5 | 1 |
Framework versions
- Transformers 4.29.2
- TensorFlow 2.10.0
- Datasets 2.12.0
- Tokenizers 0.13.2
