---
library_name: transformers
license: mit
base_model: MattosDev/foxy-nlp-br
tags:
- generated_from_trainer
model-index:
- name: foxy-nlp-br-v3-ultra
  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-br-v3-ultra

This model is a fine-tuned version of [MattosDev/foxy-nlp-br](https://huggingface.co/MattosDev/foxy-nlp-br) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1263

## 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: 80
- eval_batch_size: 80
- seed: 42
- gradient_accumulation_steps: 3
- total_train_batch_size: 240
- 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
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 450  | 0.1425          |
| 1.1068        | 2.0   | 900  | 0.1292          |
| 0.4332        | 3.0   | 1350 | 0.1280          |
| 0.4064        | 4.0   | 1800 | 0.1264          |
| 0.4019        | 5.0   | 2250 | 0.1263          |


### Framework versions

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