---
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: gpt2-finetuned
  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-finetuned

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: 0.5616

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.1522        | 0.4   | 500  | 0.6342          |
| 0.6443        | 0.8   | 1000 | 0.6011          |
| 0.6042        | 1.2   | 1500 | 0.5842          |
| 0.586         | 1.59  | 2000 | 0.5752          |
| 0.5653        | 1.99  | 2500 | 0.5677          |
| 0.5534        | 2.39  | 3000 | 0.5653          |
| 0.5511        | 2.79  | 3500 | 0.5616          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0