---
license: apache-2.0
base_model: distilbert/distilgpt2
tags:
- generated_from_trainer
model-index:
- name: tiny-gpt2-br
  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. -->

# tiny-gpt2-br

This model is a fine-tuned version of [distilbert/distilgpt2](https://huggingface.co./distilbert/distilgpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.8488

## 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: 0.0002
- train_batch_size: 16
- 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: 500
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 6.2132        | 0.21  | 1000  | 5.2772          |
| 5.0485        | 0.42  | 2000  | 4.7982          |
| 4.7238        | 0.63  | 3000  | 4.5621          |
| 4.5529        | 0.84  | 4000  | 4.4206          |
| 4.4022        | 1.05  | 5000  | 4.3098          |
| 4.2349        | 1.26  | 6000  | 4.2299          |
| 4.1795        | 1.47  | 7000  | 4.1560          |
| 4.1286        | 1.68  | 8000  | 4.0875          |
| 4.0866        | 1.89  | 9000  | 4.0361          |
| 3.9584        | 2.1   | 10000 | 4.0204          |
| 3.8666        | 2.31  | 11000 | 3.9785          |
| 3.8471        | 2.52  | 12000 | 3.9498          |
| 3.8463        | 2.73  | 13000 | 3.9202          |
| 3.8116        | 2.94  | 14000 | 3.8936          |
| 3.697         | 3.15  | 15000 | 3.8964          |
| 3.6553        | 3.36  | 16000 | 3.8825          |
| 3.6525        | 3.56  | 17000 | 3.8660          |
| 3.6494        | 3.77  | 18000 | 3.8522          |
| 3.6542        | 3.98  | 19000 | 3.8488          |


### Framework versions

- Transformers 4.39.1
- Pytorch 2.0.1+cu117
- Datasets 2.18.0
- Tokenizers 0.15.2