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yodi/gpt-2-finetuned-papers
This model is a fine-tuned version of distilgpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 1.9448
- Validation Loss: 1.8459
- Epoch: 10
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': {'module': 'keras.optimizers.schedules', 'class_name': 'ExponentialDecay', 'config': {'initial_learning_rate': 0.0005, 'decay_steps': 500, 'decay_rate': 0.95, 'staircase': False, 'name': None}, 'registered_name': None}, '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 |
|---|---|---|
| 2.4234 | 2.1273 | 0 |
| 2.1829 | 1.9976 | 1 |
| 2.0794 | 1.9288 | 2 |
| 2.0208 | 1.8907 | 3 |
| 1.9872 | 1.8705 | 4 |
| 1.9680 | 1.8579 | 5 |
| 1.9572 | 1.8519 | 6 |
| 1.9511 | 1.8491 | 7 |
| 1.9478 | 1.8471 | 8 |
| 1.9458 | 1.8464 | 9 |
| 1.9448 | 1.8459 | 10 |
Framework versions
- Transformers 4.30.2
- TensorFlow 2.13.0
- Datasets 2.12.0
- Tokenizers 0.13.3
