---
library_name: transformers
license: mit
base_model: neuralmind/bert-base-portuguese-cased
tags:
- generated_from_trainer
model-index:
- name: epochs_2_fold_3
  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. -->

# epochs_2_fold_3

This model is a fine-tuned version of [neuralmind/bert-base-portuguese-cased](https://huggingface.co/neuralmind/bert-base-portuguese-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4440

## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.7382        | 0.2020 | 300  | 0.5952          |
| 0.572         | 0.4040 | 600  | 0.5342          |
| 0.5489        | 0.6061 | 900  | 0.4945          |
| 0.5209        | 0.8081 | 1200 | 0.4905          |
| 0.4902        | 1.0101 | 1500 | 0.4729          |
| 0.399         | 1.2121 | 1800 | 0.4614          |
| 0.3833        | 1.4141 | 2100 | 0.4646          |
| 0.389         | 1.6162 | 2400 | 0.4444          |
| 0.3649        | 1.8182 | 2700 | 0.4440          |


### Framework versions

- Transformers 4.47.0
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.21.0