Anthos23/distilbert-base-uncased-finetuned-sst2
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.0662
- Validation Loss: 0.2623
- Train Accuracy: 0.9083
- Epoch: 2
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': 21045, '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 | Validation Loss | Train Accuracy | Epoch |
|---|---|---|---|
| 0.2101 | 0.2373 | 0.9083 | 0 |
| 0.1065 | 0.2645 | 0.9060 | 1 |
| 0.0662 | 0.2623 | 0.9083 | 2 |
Framework versions
- Transformers 4.17.0.dev0
- TensorFlow 2.5.0
- Datasets 1.18.3
- Tokenizers 0.11.0