TreyJ/distilbert-base-uncased-distilled-squad-finetuned-squad2-32
This model is a fine-tuned version of distilbert-base-uncased-distilled-squad on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.7270
- Train End Logits Accuracy: 0.7939
- Train Start Logits Accuracy: 0.7512
- Validation Loss: 1.0789
- Validation End Logits Accuracy: 0.7190
- Validation Start Logits Accuracy: 0.6793
- Epoch: 0
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': 5531, '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 |
|---|---|---|---|---|---|---|
| 0.7270 | 0.7939 | 0.7512 | 1.0789 | 0.7190 | 0.6793 | 0 |
Framework versions
- Transformers 4.29.0.dev0
- TensorFlow 2.8.4
- Datasets 2.11.0
- Tokenizers 0.13.3