---
license: mit
tags:
- generated_from_trainer
model-index:
- name: chilenoGPT
  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. -->

# chilenoGPT

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: 3.3921

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 30414
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 4.4985        | 1.0   | 3802  | 4.3106          |
| 4.1063        | 2.0   | 7604  | 3.9798          |
| 3.8797        | 3.0   | 11406 | 3.7886          |
| 3.7554        | 4.0   | 15208 | 3.6645          |
| 3.616         | 5.0   | 19010 | 3.5792          |
| 3.534         | 6.0   | 22812 | 3.5152          |
| 3.4631        | 7.0   | 26614 | 3.4632          |
| 3.3867        | 8.0   | 30416 | 3.4330          |
| 3.2781        | 9.0   | 34218 | 3.3975          |
| 3.2074        | 10.0  | 38020 | 3.3921          |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Tokenizers 0.13.3