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---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bertimbau-base-finetuned-lener-br-finetuned-brazilian_court_decisions
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. -->
# bertimbau-base-finetuned-lener-br-finetuned-brazilian_court_decisions
This model is a fine-tuned version of [Luciano/bertimbau-base-finetuned-lener-br](https://huggingface.co/Luciano/bertimbau-base-finetuned-lener-br) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4400
- Accuracy: 0.7649
## 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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.9619 | 1.0 | 1617 | 1.2712 | 0.6386 |
| 0.8696 | 2.0 | 3234 | 1.0555 | 0.75 |
| 0.6648 | 3.0 | 4851 | 1.2647 | 0.7649 |
| 0.4652 | 4.0 | 6468 | 1.2981 | 0.7723 |
| 0.2911 | 5.0 | 8085 | 1.4400 | 0.7649 |
### Framework versions
- Transformers 4.22.0
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
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