---
library_name: peft
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: Se124M10KInfPrompt_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. -->

# Se124M10KInfPrompt_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: 0.6872

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.8085        | 1.0   | 610   | 0.7760          |
| 0.7801        | 2.0   | 1220  | 0.7436          |
| 0.7608        | 3.0   | 1830  | 0.7269          |
| 0.7438        | 4.0   | 2440  | 0.7199          |
| 0.7413        | 5.0   | 3050  | 0.7118          |
| 0.7343        | 6.0   | 3660  | 0.7121          |
| 0.7332        | 7.0   | 4270  | 0.7089          |
| 0.7319        | 8.0   | 4880  | 0.7025          |
| 0.7289        | 9.0   | 5490  | 0.7001          |
| 0.7236        | 10.0  | 6100  | 0.6965          |
| 0.7147        | 11.0  | 6710  | 0.6970          |
| 0.7126        | 12.0  | 7320  | 0.6973          |
| 0.7167        | 13.0  | 7930  | 0.6935          |
| 0.711         | 14.0  | 8540  | 0.6927          |
| 0.7057        | 15.0  | 9150  | 0.6940          |
| 0.7109        | 16.0  | 9760  | 0.6924          |
| 0.7117        | 17.0  | 10370 | 0.6928          |
| 0.7086        | 18.0  | 10980 | 0.6882          |
| 0.7004        | 19.0  | 11590 | 0.6872          |
| 0.7016        | 20.0  | 12200 | 0.6895          |
| 0.7027        | 21.0  | 12810 | 0.6884          |
| 0.6928        | 22.0  | 13420 | 0.6885          |
| 0.7059        | 23.0  | 14030 | 0.6894          |
| 0.6916        | 24.0  | 14640 | 0.6875          |


### Framework versions

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