---
library_name: peft
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: Se124M100KInfPrompt_endtoken
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# Se124M100KInfPrompt_endtoken

This model is a fine-tuned version of [gpt2](https://huggingface.co/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