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Magical2
This model is a fine-tuned version of crumb/gpt-joke on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.5533
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: 3e-05
- train_batch_size: 30
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 33 | 1.6553 |
| No log | 2.0 | 66 | 1.5406 |
| No log | 3.0 | 99 | 1.4875 |
| No log | 4.0 | 132 | 1.4571 |
| No log | 5.0 | 165 | 1.4472 |
| No log | 6.0 | 198 | 1.4450 |
| No log | 7.0 | 231 | 1.4522 |
| No log | 8.0 | 264 | 1.4694 |
| No log | 9.0 | 297 | 1.4754 |
| No log | 10.0 | 330 | 1.4947 |
| No log | 11.0 | 363 | 1.5067 |
| No log | 12.0 | 396 | 1.5227 |
| No log | 13.0 | 429 | 1.5341 |
| No log | 14.0 | 462 | 1.5436 |
| No log | 15.0 | 495 | 1.5533 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.3
- Tokenizers 0.13.3
