metadata
library_name: peft
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: Se124M10KInfPrompt_endtoken
results: []
Se124M10KInfPrompt_endtoken
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7284
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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 50
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.9762 | 1.0 | 610 | 0.8681 |
| 0.8832 | 2.0 | 1220 | 0.8117 |
| 0.8432 | 3.0 | 1830 | 0.7922 |
| 0.8183 | 4.0 | 2440 | 0.7809 |
| 0.8131 | 5.0 | 3050 | 0.7687 |
| 0.8004 | 6.0 | 3660 | 0.7640 |
| 0.7972 | 7.0 | 4270 | 0.7584 |
| 0.7941 | 8.0 | 4880 | 0.7528 |
| 0.789 | 9.0 | 5490 | 0.7480 |
| 0.7806 | 10.0 | 6100 | 0.7454 |
| 0.7736 | 11.0 | 6710 | 0.7442 |
| 0.769 | 12.0 | 7320 | 0.7444 |
| 0.7734 | 13.0 | 7930 | 0.7402 |
| 0.7671 | 14.0 | 8540 | 0.7385 |
| 0.7605 | 15.0 | 9150 | 0.7365 |
| 0.7651 | 16.0 | 9760 | 0.7357 |
| 0.7657 | 17.0 | 10370 | 0.7340 |
| 0.763 | 18.0 | 10980 | 0.7318 |
| 0.7552 | 19.0 | 11590 | 0.7305 |
| 0.7563 | 20.0 | 12200 | 0.7284 |
| 0.7558 | 21.0 | 12810 | 0.7285 |
| 0.7465 | 22.0 | 13420 | 0.7290 |
Framework versions
- PEFT 0.15.1
- Transformers 4.51.3
- Pytorch 2.6.0+cu118
- Datasets 3.5.0
- Tokenizers 0.21.1