guma/distilgpt2-finetuned-shakespeare
This model is a fine-tuned version of distilgpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 3.1769
- Validation Loss: 3.5116
- Epoch: 19
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 |
|---|---|---|
| 4.2136 | 3.8303 | 0 |
| 3.8997 | 3.6993 | 1 |
| 3.7790 | 3.6344 | 2 |
| 3.7061 | 3.5923 | 3 |
| 3.6476 | 3.5653 | 4 |
| 3.6003 | 3.5513 | 5 |
| 3.5578 | 3.5360 | 6 |
| 3.5204 | 3.5277 | 7 |
| 3.4843 | 3.5171 | 8 |
| 3.4514 | 3.5117 | 9 |
| 3.4194 | 3.5048 | 10 |
| 3.3903 | 3.5040 | 11 |
| 3.3627 | 3.5006 | 12 |
| 3.3332 | 3.5006 | 13 |
| 3.3052 | 3.5019 | 14 |
| 3.2772 | 3.5051 | 15 |
| 3.2514 | 3.5043 | 16 |
| 3.2249 | 3.5026 | 17 |
| 3.2019 | 3.5129 | 18 |
| 3.1769 | 3.5116 | 19 |
Framework versions
- Transformers 4.22.2
- TensorFlow 2.8.2
- Datasets 2.5.2
- Tokenizers 0.12.1