---
library_name: transformers
license: mit
base_model: neuralmind/bert-base-portuguese-cased
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: bert_portuguese_classification
  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. -->

# bert_portuguese_classification

This model is a fine-tuned version of [neuralmind/bert-base-portuguese-cased](https://huggingface.co/neuralmind/bert-base-portuguese-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0242
- F1: 0.9967

## 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: 5e-05
- train_batch_size: 5
- eval_batch_size: 5
- 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 | F1     | Validation Loss |
|:-------------:|:-----:|:----:|:------:|:---------------:|
| 0.0749        | 1.0   | 952  | 0.9746 | 0.0969          |
| 0.0011        | 2.0   | 1904 | 0.9949 | 0.0317          |
| 0.0005        | 3.0   | 2856 | 0.9975 | 0.0200          |
| 0.0003        | 4.0   | 3808 | 0.0199 | 0.9967          |
| 0.0001        | 5.0   | 4760 | 0.0242 | 0.9967          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1