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---
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
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