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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: 1.1509
- Accuracy: 0.7673
## 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: 4
- eval_batch_size: 4
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.892 | 1.0 | 809 | 0.7765 | 0.6832 |
| 0.6748 | 2.0 | 1618 | 0.7200 | 0.7302 |
| 0.5406 | 3.0 | 2427 | 0.9141 | 0.7475 |
| 0.4226 | 4.0 | 3236 | 1.1041 | 0.7550 |
| 0.3058 | 5.0 | 4045 | 1.1509 | 0.7673 |
### Framework versions
- Transformers 4.22.0
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
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