---
library_name: transformers
license: mit
base_model: neuralmind/bert-base-portuguese-cased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: foxy-nlp-n1
  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. -->

# foxy-nlp-n1

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: 0.2020
- Accuracy: 0.9545
- F1: 0.9542

## 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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 0.2
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| No log        | 1.0   | 77   | 0.4185          | 0.9481   | 0.9476 |
| No log        | 2.0   | 154  | 0.2908          | 0.9545   | 0.9542 |
| No log        | 3.0   | 231  | 0.2464          | 0.9545   | 0.9547 |
| No log        | 4.0   | 308  | 0.2074          | 0.9545   | 0.9542 |
| No log        | 5.0   | 385  | 0.2048          | 0.9610   | 0.9613 |
| No log        | 6.0   | 462  | 0.2064          | 0.9545   | 0.9547 |
| 0.1640        | 7.0   | 539  | 0.2011          | 0.9610   | 0.9613 |
| 0.1640        | 8.0   | 616  | 0.2020          | 0.9545   | 0.9542 |


### Framework versions

- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2