---
license: mit
base_model: openai-community/gpt2
tags:
- generated_from_trainer
model-index:
- name: MIA-GPT2-WikiText-Fine-Tuned-V2
  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. -->

# MIA-GPT2-WikiText-Fine-Tuned-V2

This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.8904

## 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: 0.0001
- train_batch_size: 16
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 5.4637        | 1.0   | 625  | 3.4640          |
| 3.288         | 2.0   | 1250 | 3.4729          |
| 3.0629        | 3.0   | 1875 | 3.4997          |
| 2.7975        | 4.0   | 2500 | 3.5464          |
| 2.6186        | 5.0   | 3125 | 3.6151          |
| 2.5118        | 6.0   | 3750 | 3.6777          |
| 2.4292        | 7.0   | 4375 | 3.7423          |
| 2.2772        | 8.0   | 5000 | 3.8122          |
| 2.2044        | 9.0   | 5625 | 3.8602          |
| 2.1637        | 10.0  | 6250 | 3.8904          |


### Framework versions

- Transformers 4.33.3
- Pytorch 2.3.1
- Datasets 2.20.0
- Tokenizers 0.11.0