gpt2-wikitext2
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.1939
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:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 5.7868 | 1.0 | 2249 | 5.8993 |
| 5.5307 | 2.0 | 4498 | 5.7082 |
| 5.3288 | 3.0 | 6747 | 5.5705 |
| 5.1508 | 4.0 | 8996 | 5.4662 |
| 5.003 | 5.0 | 11245 | 5.3797 |
| 4.8483 | 6.0 | 13494 | 5.3223 |
| 4.7387 | 7.0 | 15743 | 5.2757 |
| 4.6358 | 8.0 | 17992 | 5.2465 |
| 4.5037 | 9.0 | 20241 | 5.2171 |
| 4.4214 | 10.0 | 22490 | 5.2016 |
| 4.3426 | 11.0 | 24739 | 5.1984 |
| 4.2608 | 12.0 | 26988 | 5.1936 |
| 4.1959 | 13.0 | 29237 | 5.1915 |
| 4.1562 | 14.0 | 31486 | 5.1922 |
| 4.1104 | 15.0 | 33735 | 5.1939 |
Framework versions
- Transformers 4.55.4
- Pytorch 2.7.0+gitf717b2a
- Datasets 3.6.0
- Tokenizers 0.21.4