---
library_name: transformers
license: apache-2.0
base_model: distilgpt2
tags:
- generated_from_trainer
model-index:
- name: something
  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. -->

# something

This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7061

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.6969        | 1.0   | 1429  | 0.7070          |
| 0.6916        | 2.0   | 2858  | 0.7016          |
| 0.6905        | 3.0   | 4287  | 0.7114          |
| 0.6887        | 4.0   | 5716  | 0.7091          |
| 0.6888        | 5.0   | 7145  | 0.7066          |
| 0.6878        | 6.0   | 8574  | 0.7043          |
| 0.6874        | 7.0   | 10003 | 0.7076          |
| 0.6877        | 8.0   | 11432 | 0.7072          |
| 0.6868        | 9.0   | 12861 | 0.7067          |
| 0.6869        | 10.0  | 14290 | 0.7061          |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.1