---
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
datasets:
- told-br
model-index:
- name: iag-class-ptbr
  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. -->

# iag-class-ptbr

This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the told-br dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5147

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.5936        | 1.0   | 2100  | 0.5406          |
| 0.4858        | 2.0   | 4200  | 0.5394          |
| 0.5622        | 3.0   | 6300  | 0.5147          |
| 0.4538        | 4.0   | 8400  | 0.5310          |
| 0.4305        | 5.0   | 10500 | 0.5799          |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3