---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bertimbau-base-finetuned-lener-br-finetuned-peticoes-assuntos
  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. -->

# bertimbau-base-finetuned-lener-br-finetuned-peticoes-assuntos

This model is a fine-tuned version of [Luciano/bertimbau-base-finetuned-lener-br](https://huggingface.co/Luciano/bertimbau-base-finetuned-lener-br) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.9930
- Accuracy: 0.3575

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 4.7305        | 1.0   | 898  | 3.6586          | 0.2533   |
| 3.4793        | 2.0   | 1796 | 3.2827          | 0.3029   |
| 3.0791        | 3.0   | 2694 | 3.0938          | 0.3427   |
| 2.83          | 4.0   | 3592 | 3.0101          | 0.3477   |
| 2.7427        | 5.0   | 4490 | 2.9930          | 0.3575   |


### Framework versions

- Transformers 4.22.1
- Pytorch 1.12.1+cu113
- Datasets 2.5.1
- Tokenizers 0.12.1