---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: toxic-comment-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. -->

# toxic-comment-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: 0.5590
- Accuracy: 0.8578
- F1: 0.8580
- Precision: 0.8594
- Recall: 0.8578

## 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: 3.255788747459486e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 1993
- optimizer: Adam with betas=(0.8445637934160373,0.8338816842140165) and epsilon=2.527092625455385e-08
- lr_scheduler_type: linear
- num_epochs: 30
- label_smoothing_factor: 0.07158711257743958

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     | Precision | Recall |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|
| 0.4422        | 1.0   | 1408  | 0.4197          | 0.8466   | 0.8470 | 0.8505    | 0.8466 |
| 0.3566        | 2.0   | 2816  | 0.4724          | 0.8413   | 0.8394 | 0.8453    | 0.8413 |
| 0.3135        | 3.0   | 4224  | 0.4801          | 0.8447   | 0.8434 | 0.8470    | 0.8447 |
| 0.2638        | 4.0   | 5632  | 0.5590          | 0.8578   | 0.8580 | 0.8594    | 0.8578 |
| 0.2314        | 5.0   | 7040  | 0.5605          | 0.8491   | 0.8487 | 0.8489    | 0.8491 |
| 0.2221        | 6.0   | 8448  | 0.6369          | 0.8416   | 0.8414 | 0.8414    | 0.8416 |
| 0.1939        | 7.0   | 9856  | 0.6518          | 0.8400   | 0.8402 | 0.8405    | 0.8400 |
| 0.2015        | 8.0   | 11264 | 0.6042          | 0.8462   | 0.8457 | 0.8465    | 0.8462 |
| 0.1989        | 9.0   | 12672 | 0.6236          | 0.8500   | 0.8496 | 0.8499    | 0.8500 |


### Framework versions

- Transformers 4.26.0
- Pytorch 1.10.2+cu113
- Datasets 2.9.0
- Tokenizers 0.13.2