---
library_name: peft
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: Se124M500KInfPrompt_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. -->

# Se124M500KInfPrompt_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: 0.6716

## 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: 32
- eval_batch_size: 32
- 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 |
|:-------------:|:-----:|:------:|:---------------:|
| 0.1898        | 1.0   | 5427   | 0.7433          |
| 0.1857        | 2.0   | 10854  | 0.7238          |
| 0.1843        | 3.0   | 16281  | 0.7118          |
| 0.1813        | 4.0   | 21708  | 0.7045          |
| 0.1802        | 5.0   | 27135  | 0.6990          |
| 0.1785        | 6.0   | 32562  | 0.6944          |
| 0.1769        | 7.0   | 37989  | 0.6918          |
| 0.1743        | 8.0   | 43416  | 0.6875          |
| 0.1752        | 9.0   | 48843  | 0.6854          |
| 0.1756        | 10.0  | 54270  | 0.6854          |
| 0.1736        | 11.0  | 59697  | 0.6837          |
| 0.1756        | 12.0  | 65124  | 0.6812          |
| 0.173         | 13.0  | 70551  | 0.6798          |
| 0.1737        | 14.0  | 75978  | 0.6791          |
| 0.1741        | 15.0  | 81405  | 0.6783          |
| 0.177         | 16.0  | 86832  | 0.6771          |
| 0.1734        | 17.0  | 92259  | 0.6765          |
| 0.1719        | 18.0  | 97686  | 0.6760          |
| 0.1737        | 19.0  | 103113 | 0.6763          |
| 0.1716        | 20.0  | 108540 | 0.6747          |
| 0.1713        | 21.0  | 113967 | 0.6741          |
| 0.1739        | 22.0  | 119394 | 0.6738          |
| 0.1694        | 23.0  | 124821 | 0.6737          |
| 0.1703        | 24.0  | 130248 | 0.6743          |
| 0.1697        | 25.0  | 135675 | 0.6730          |
| 0.172         | 26.0  | 141102 | 0.6731          |
| 0.1711        | 27.0  | 146529 | 0.6720          |
| 0.1726        | 28.0  | 151956 | 0.6720          |
| 0.1703        | 29.0  | 157383 | 0.6716          |
| 0.1732        | 30.0  | 162810 | 0.6716          |
| 0.171         | 31.0  | 168237 | 0.6719          |


### Framework versions

- PEFT 0.15.1
- Transformers 4.51.3
- Pytorch 2.6.0+cu118
- Datasets 3.5.0
- Tokenizers 0.21.1