---
library_name: transformers
license: apache-2.0
base_model: distilbert/distilgpt2
tags:
- generated_from_trainer
model-index:
- name: gpt2-expanded-test-distilled
  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. -->

# gpt2-expanded-test-distilled

This model is a fine-tuned version of [distilbert/distilgpt2](https://huggingface.co/distilbert/distilgpt2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.0336

## 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_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 25.0

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 3.4795        | 1.0   | 549   | 3.0471          |
| 3.0621        | 2.0   | 1098  | 2.9997          |
| 3.0029        | 3.0   | 1647  | 2.9767          |
| 2.9472        | 4.0   | 2196  | 2.9579          |
| 2.9013        | 5.0   | 2745  | 2.9493          |
| 2.8283        | 6.0   | 3294  | 2.9476          |
| 2.8005        | 7.0   | 3843  | 2.9485          |
| 2.7523        | 8.0   | 4392  | 2.9494          |
| 2.7257        | 9.0   | 4941  | 2.9516          |
| 2.6927        | 10.0  | 5490  | 2.9594          |
| 2.6327        | 11.0  | 6039  | 2.9631          |
| 2.6106        | 12.0  | 6588  | 2.9706          |
| 2.5743        | 13.0  | 7137  | 2.9760          |
| 2.5676        | 14.0  | 7686  | 2.9845          |
| 2.5504        | 15.0  | 8235  | 2.9869          |
| 2.5242        | 16.0  | 8784  | 2.9978          |
| 2.5097        | 17.0  | 9333  | 3.0007          |
| 2.4938        | 18.0  | 9882  | 3.0114          |
| 2.4908        | 19.0  | 10431 | 3.0178          |
| 2.4731        | 20.0  | 10980 | 3.0204          |
| 2.4503        | 21.0  | 11529 | 3.0228          |
| 2.4441        | 22.0  | 12078 | 3.0254          |
| 2.4378        | 23.0  | 12627 | 3.0287          |
| 2.4286        | 24.0  | 13176 | 3.0312          |
| 2.4216        | 25.0  | 13725 | 3.0336          |


### Framework versions

- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1