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jrtec-gpt2-superheroes-name-generator
This model is a fine-tuned version of gpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 16.5324
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: 5e-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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.3728 | 3.45 | 500 | 14.0617 |
| 2.0865 | 6.9 | 1000 | 14.7614 |
| 1.9246 | 10.34 | 1500 | 15.6696 |
| 1.8718 | 13.79 | 2000 | 16.2823 |
| 1.8267 | 17.24 | 2500 | 16.5324 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2
