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Imran1/distilgpt2-poem_p
This model is a fine-tuned version of distilgpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 1.3983
- Train Accuracy: 0.0184
- Validation Loss: 1.4190
- Validation Accuracy: 0.0190
- 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': 'AdamWeightDecay', 'learning_rate': 0.0003, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
Training results
| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
|---|---|---|---|---|
| 1.9355 | 0.0233 | 1.6753 | 0.0220 | 0 |
| 1.6413 | 0.0205 | 1.5397 | 0.0197 | 1 |
| 1.5274 | 0.0187 | 1.4732 | 0.0191 | 2 |
| 1.4559 | 0.0184 | 1.4447 | 0.0195 | 3 |
| 1.3983 | 0.0184 | 1.4190 | 0.0190 | 4 |
Framework versions
- Transformers 4.31.0.dev0
- TensorFlow 2.12.0
- Datasets 2.13.1
- Tokenizers 0.13.3
