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Digitalwitness/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: 2.0603
- Validation Loss: 2.2069
- 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 |
|---|---|---|
| 3.4056 | 3.1490 | 0 |
| 3.1359 | 2.9958 | 1 |
| 2.9970 | 2.9052 | 2 |
| 2.9003 | 2.8363 | 3 |
| 2.8192 | 2.7759 | 4 |
| 2.7524 | 2.7306 | 5 |
| 2.6881 | 2.6775 | 6 |
| 2.6294 | 2.6329 | 7 |
| 2.5716 | 2.5949 | 8 |
| 2.5213 | 2.5512 | 9 |
| 2.4652 | 2.5107 | 10 |
| 2.4156 | 2.4803 | 11 |
| 2.3677 | 2.4329 | 12 |
| 2.3163 | 2.3989 | 13 |
| 2.2735 | 2.3695 | 14 |
| 2.2311 | 2.3317 | 15 |
| 2.1842 | 2.2924 | 16 |
| 2.1386 | 2.2688 | 17 |
| 2.1015 | 2.2297 | 18 |
| 2.0603 | 2.2069 | 19 |
Framework versions
- Transformers 4.23.1
- TensorFlow 2.9.2
- Datasets 2.6.0
- Tokenizers 0.13.1
