---
license: mit
tags:
- generated_from_trainer
model-index:
- name: jrtec-gpt2-superheroes-name-generator
  results: []
---

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# jrtec-gpt2-superheroes-name-generator

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: 16.5324

## 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
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.3728        | 3.45  | 500  | 14.0617         |
| 2.0865        | 6.9   | 1000 | 14.7614         |
| 1.9246        | 10.34 | 1500 | 15.6696         |
| 1.8718        | 13.79 | 2000 | 16.2823         |
| 1.8267        | 17.24 | 2500 | 16.5324         |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2