---
library_name: transformers
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: gpt2-wikitext2
  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-wikitext2

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: 1.4411

## 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: 2e-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: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 136  | 2.6125          |
| No log        | 2.0   | 272  | 2.3027          |
| No log        | 3.0   | 408  | 2.1283          |
| 2.7351        | 4.0   | 544  | 1.9970          |
| 2.7351        | 5.0   | 680  | 1.8977          |
| 2.7351        | 6.0   | 816  | 1.8174          |
| 2.7351        | 7.0   | 952  | 1.7532          |
| 1.9296        | 8.0   | 1088 | 1.6992          |
| 1.9296        | 9.0   | 1224 | 1.6594          |
| 1.9296        | 10.0  | 1360 | 1.6301          |
| 1.9296        | 11.0  | 1496 | 1.5985          |
| 1.6853        | 12.0  | 1632 | 1.5784          |
| 1.6853        | 13.0  | 1768 | 1.5560          |
| 1.6853        | 14.0  | 1904 | 1.5433          |
| 1.5639        | 15.0  | 2040 | 1.5262          |
| 1.5639        | 16.0  | 2176 | 1.5109          |
| 1.5639        | 17.0  | 2312 | 1.5018          |
| 1.5639        | 18.0  | 2448 | 1.4957          |
| 1.4932        | 19.0  | 2584 | 1.4823          |
| 1.4932        | 20.0  | 2720 | 1.4741          |
| 1.4932        | 21.0  | 2856 | 1.4681          |
| 1.4932        | 22.0  | 2992 | 1.4618          |
| 1.448         | 23.0  | 3128 | 1.4559          |
| 1.448         | 24.0  | 3264 | 1.4543          |
| 1.448         | 25.0  | 3400 | 1.4487          |
| 1.4177        | 26.0  | 3536 | 1.4463          |
| 1.4177        | 27.0  | 3672 | 1.4435          |
| 1.4177        | 28.0  | 3808 | 1.4429          |
| 1.4177        | 29.0  | 3944 | 1.4424          |
| 1.4044        | 30.0  | 4080 | 1.4411          |


### Framework versions

- Transformers 4.46.1
- Pytorch 2.3.0+cu121
- Datasets 3.1.0
- Tokenizers 0.20.1