---
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: pretrained_gpt2
  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. -->

# pretrained_gpt2

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 5.4616

## 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: 0.0005
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 6.48          | 1.17  | 500  | 6.1099          |
| 5.5792        | 2.35  | 1000 | 5.7804          |
| 5.1247        | 3.52  | 1500 | 5.6199          |
| 4.7774        | 4.69  | 2000 | 5.5176          |
| 4.4701        | 5.87  | 2500 | 5.4713          |
| 4.1836        | 7.04  | 3000 | 5.4591          |
| 3.9183        | 8.22  | 3500 | 5.4620          |
| 3.7163        | 9.39  | 4000 | 5.4616          |


### Framework versions

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