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: 5.8134
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 6.5285 | 1.0 | 2249 | 6.4484 |
| 6.1303 | 2.0 | 4498 | 6.1209 |
| 5.8626 | 3.0 | 6747 | 5.9464 |
| 5.7155 | 4.0 | 8996 | 5.8487 |
| 5.616 | 5.0 | 11245 | 5.8134 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
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