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tobijen/distilgpt2_left_headings
This model is a fine-tuned version of distilgpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 4.4455
- Validation Loss: 5.6434
- Epoch: 5
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': 2e-05, '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 | Validation Loss | Epoch |
|---|---|---|
| 6.0703 | 5.7752 | 0 |
| 5.5228 | 5.5932 | 1 |
| 5.1845 | 5.5286 | 2 |
| 4.9123 | 5.5338 | 3 |
| 4.6756 | 5.5673 | 4 |
| 4.4455 | 5.6434 | 5 |
Framework versions
- Transformers 4.31.0
- TensorFlow 2.12.0
- Datasets 2.13.1
- Tokenizers 0.13.3
