GPT2_more_function_42
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.3530
- Accuracy: 0.2670
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: 0.0001
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10000
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|
| 5.6351 | 1.0 | 6417 | 5.4097 | 0.1894 |
| 4.9863 | 2.0 | 12834 | 4.8426 | 0.2244 |
| 4.7136 | 3.0 | 19251 | 4.6423 | 0.2405 |
| 4.584 | 4.0 | 25668 | 4.5398 | 0.2492 |
| 4.4834 | 5.0 | 32085 | 4.4778 | 0.2548 |
| 4.4098 | 6.0 | 38502 | 4.4340 | 0.2588 |
| 4.3491 | 7.0 | 44919 | 4.4003 | 0.2622 |
| 4.2949 | 8.0 | 51336 | 4.3788 | 0.2642 |
| 4.2459 | 9.0 | 57753 | 4.3607 | 0.2667 |
| 4.2045 | 10.0 | 64170 | 4.3530 | 0.2670 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.9.1+cu128
- Datasets 4.1.1
- Tokenizers 0.13.3
