---
license: apache-2.0
tags:
- generated_from_trainer
base_model: distilbert/distilgpt2
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: 3.6213

## 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: 0.001
- 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
- training_steps: 19000

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 5.7274        | 0.21  | 1000  | 4.9308          |
| 4.7191        | 0.42  | 2000  | 4.5347          |
| 4.4579        | 0.63  | 3000  | 4.3432          |
| 4.2769        | 0.84  | 4000  | 4.1893          |
| 4.1086        | 1.05  | 5000  | 4.0861          |
| 3.9327        | 1.26  | 6000  | 3.9992          |
| 3.8812        | 1.47  | 7000  | 3.9216          |
| 3.8298        | 1.68  | 8000  | 3.8648          |
| 3.7785        | 1.89  | 9000  | 3.8126          |
| 3.6099        | 2.1   | 10000 | 3.7931          |
| 3.471         | 2.31  | 11000 | 3.7539          |
| 3.4651        | 2.52  | 12000 | 3.7141          |
| 3.4451        | 2.73  | 13000 | 3.6754          |
| 3.4251        | 2.94  | 14000 | 3.6327          |
| 3.1855        | 3.15  | 15000 | 3.6779          |
| 3.0962        | 3.36  | 16000 | 3.6757          |
| 3.0971        | 3.56  | 17000 | 3.6437          |
| 3.0816        | 3.77  | 18000 | 3.6287          |
| 3.0582        | 3.98  | 19000 | 3.6213          |


### Framework versions

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