---
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: 3.6959

## 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: 0.0004
- 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: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 5.966         | 0.21  | 1000  | 5.0526          |
| 4.8376        | 0.42  | 2000  | 4.6063          |
| 4.5265        | 0.63  | 3000  | 4.3822          |
| 4.3549        | 0.84  | 4000  | 4.2353          |
| 4.1914        | 1.05  | 5000  | 4.1234          |
| 3.9985        | 1.26  | 6000  | 4.0512          |
| 3.9496        | 1.47  | 7000  | 3.9737          |
| 3.9029        | 1.68  | 8000  | 3.9040          |
| 3.8636        | 1.89  | 9000  | 3.8523          |
| 3.7011        | 2.1   | 10000 | 3.8414          |
| 3.5776        | 2.31  | 11000 | 3.8034          |
| 3.5683        | 2.52  | 12000 | 3.7755          |
| 3.5686        | 2.73  | 13000 | 3.7375          |
| 3.5352        | 2.94  | 14000 | 3.7042          |
| 3.3404        | 3.15  | 15000 | 3.7406          |
| 3.2763        | 3.36  | 16000 | 3.7177          |
| 3.2792        | 3.56  | 17000 | 3.7004          |
| 3.2808        | 3.77  | 18000 | 3.6864          |
| 3.2816        | 3.98  | 19000 | 3.6639          |
| 3.0586        | 4.19  | 20000 | 3.7184          |
| 3.0485        | 4.4   | 21000 | 3.7085          |
| 3.0446        | 4.61  | 22000 | 3.7014          |
| 3.0407        | 4.82  | 23000 | 3.6959          |


### Framework versions

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