---
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: 4.3565

## 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: 8e-05
- 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: 3

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 6.6049        | 0.21  | 1000  | 5.6029          |
| 5.4429        | 0.42  | 2000  | 5.1985          |
| 5.1379        | 0.63  | 3000  | 4.9480          |
| 4.9697        | 0.84  | 4000  | 4.8117          |
| 4.82          | 1.05  | 5000  | 4.7015          |
| 4.7219        | 1.26  | 6000  | 4.6272          |
| 4.648         | 1.47  | 7000  | 4.5548          |
| 4.6005        | 1.68  | 8000  | 4.5024          |
| 4.5511        | 1.89  | 9000  | 4.4625          |
| 4.4843        | 2.1   | 10000 | 4.4290          |
| 4.4343        | 2.31  | 11000 | 4.4026          |
| 4.4215        | 2.52  | 12000 | 4.3810          |
| 4.4033        | 2.73  | 13000 | 4.3652          |
| 4.3886        | 2.94  | 14000 | 4.3565          |


### Framework versions

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