<!-- 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. -->
chatGPT_classifier
This model is a fine-tuned version of distilbert-base-uncased-finetuned-sst-2-english on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.0721
- Train Accuracy: 0.9805
- Validation Loss: 0.2447
- Validation Accuracy: 0.9114
- Epoch: 9
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': 5e-05, 'decay_steps': 1929, '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-07, 'amsgrad': False}
- training_precision: float32
Training results
| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
|---|---|---|---|---|
| 0.4382 | 0.7957 | 0.3053 | 0.8745 | 0 |
| 0.2381 | 0.9120 | 0.2671 | 0.8967 | 1 |
| 0.1154 | 0.9617 | 0.2447 | 0.9114 | 2 |
| 0.0701 | 0.9817 | 0.2447 | 0.9114 | 3 |
| 0.0723 | 0.9796 | 0.2447 | 0.9114 | 4 |
| 0.0730 | 0.9802 | 0.2447 | 0.9114 | 5 |
| 0.0706 | 0.9813 | 0.2447 | 0.9114 | 6 |
| 0.0711 | 0.9811 | 0.2447 | 0.9114 | 7 |
| 0.0697 | 0.9817 | 0.2447 | 0.9114 | 8 |
| 0.0721 | 0.9805 | 0.2447 | 0.9114 | 9 |
Framework versions
- Transformers 4.26.0
- TensorFlow 2.9.2
- Datasets 2.9.0
- Tokenizers 0.13.2
