regex-GPT2pretrain
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.0016
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: 0.0003
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 6.6944 | 0.9119 | 300 | 6.2799 |
| 5.8024 | 1.8237 | 600 | 5.7527 |
| 5.3033 | 2.7356 | 900 | 5.5474 |
| 5.0624 | 3.6474 | 1200 | 5.4211 |
| 4.7656 | 4.5593 | 1500 | 5.3018 |
| 4.5517 | 5.4711 | 1800 | 5.2248 |
| 4.3684 | 6.3830 | 2100 | 5.1723 |
| 4.2025 | 7.2948 | 2400 | 5.1078 |
| 4.0043 | 8.2067 | 2700 | 5.0954 |
| 3.8377 | 9.1185 | 3000 | 5.0395 |
| 3.6478 | 10.0304 | 3300 | 5.0016 |
| 3.478 | 10.9422 | 3600 | 5.0053 |
| 3.2909 | 11.8541 | 3900 | 5.0227 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
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