metadata
library_name: peft
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: Se124M100KInfPrompt_endtoken
results: []
Se124M100KInfPrompt_endtoken
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6695
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: 0.0005
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 200
- num_epochs: 50
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.7209 | 1.0 | 5717 | 0.7060 |
| 0.7027 | 2.0 | 11434 | 0.6916 |
| 0.7005 | 3.0 | 17151 | 0.6865 |
| 0.7009 | 4.0 | 22868 | 0.6858 |
| 0.6933 | 5.0 | 28585 | 0.6854 |
| 0.6922 | 6.0 | 34302 | 0.6825 |
| 0.6859 | 7.0 | 40019 | 0.6810 |
| 0.6923 | 8.0 | 45736 | 0.6812 |
| 0.6919 | 9.0 | 51453 | 0.6809 |
| 0.6871 | 10.0 | 57170 | 0.6795 |
| 0.6844 | 11.0 | 62887 | 0.6776 |
| 0.6923 | 12.0 | 68604 | 0.6780 |
| 0.6878 | 13.0 | 74321 | 0.6785 |
| 0.6765 | 14.0 | 80038 | 0.6775 |
| 0.6864 | 15.0 | 85755 | 0.6769 |
| 0.6776 | 16.0 | 91472 | 0.6761 |
| 0.6823 | 17.0 | 97189 | 0.6768 |
| 0.6743 | 18.0 | 102906 | 0.6751 |
| 0.682 | 19.0 | 108623 | 0.6776 |
| 0.6902 | 20.0 | 114340 | 0.6762 |
| 0.6774 | 21.0 | 120057 | 0.6751 |
| 0.6748 | 22.0 | 125774 | 0.6747 |
| 0.6864 | 23.0 | 131491 | 0.6745 |
| 0.6819 | 24.0 | 137208 | 0.6756 |
| 0.6818 | 25.0 | 142925 | 0.6745 |
| 0.6757 | 26.0 | 148642 | 0.6737 |
| 0.6801 | 27.0 | 154359 | 0.6734 |
| 0.6717 | 28.0 | 160076 | 0.6724 |
| 0.6717 | 29.0 | 165793 | 0.6722 |
| 0.6802 | 30.0 | 171510 | 0.6723 |
| 0.677 | 31.0 | 177227 | 0.6725 |
| 0.6764 | 32.0 | 182944 | 0.6712 |
| 0.6767 | 33.0 | 188661 | 0.6712 |
| 0.6758 | 34.0 | 194378 | 0.6716 |
| 0.6772 | 35.0 | 200095 | 0.6715 |
| 0.679 | 36.0 | 205812 | 0.6717 |
| 0.6744 | 37.0 | 211529 | 0.6702 |
| 0.6654 | 38.0 | 217246 | 0.6707 |
| 0.6723 | 39.0 | 222963 | 0.6704 |
| 0.6758 | 40.0 | 228680 | 0.6701 |
| 0.6795 | 41.0 | 234397 | 0.6701 |
| 0.6681 | 42.0 | 240114 | 0.6698 |
| 0.6761 | 43.0 | 245831 | 0.6700 |
| 0.673 | 44.0 | 251548 | 0.6697 |
| 0.6736 | 45.0 | 257265 | 0.6698 |
| 0.673 | 46.0 | 262982 | 0.6695 |
| 0.6686 | 47.0 | 268699 | 0.6695 |
| 0.666 | 48.0 | 274416 | 0.6696 |
| 0.663 | 49.0 | 280133 | 0.6695 |
| 0.6667 | 50.0 | 285850 | 0.6695 |
Framework versions
- PEFT 0.15.1
- Transformers 4.51.3
- Pytorch 2.6.0+cu118
- Datasets 3.5.0
- Tokenizers 0.21.1