gpt2-wikitext2
This model is a fine-tuned version of gpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 6.3144
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 6.7737 | 1.0 | 1125 | 6.6432 |
| 6.4176 | 2.0 | 2250 | 6.3929 |
| 6.2554 | 3.0 | 3375 | 6.3144 |
Framework versions
- Transformers 4.28.1
- Pytorch 1.11.0+cu102
- Datasets 2.12.0
- Tokenizers 0.12.1