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# bert-case-diario-uniao-classification

This model is a fine-tuned version of [pierreguillou/bert-base-cased-pt-lenerbr](https://huggingface.co/pierreguillou/bert-base-cased-pt-lenerbr) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0396
- Accuracy: 0.9960

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.1548        | 1.0   | 1563 | 0.0554          | 0.9936   |
| 0.029         | 2.0   | 3126 | 0.0438          | 0.9952   |
| 0.0084        | 3.0   | 4689 | 0.0396          | 0.9960   |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0

{"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "pierreguillou/bert-base-cased-pt-lenerbr", "model-index": [{"name": "bert-case-diario-uniao-classification", "results": []}]}
transformers tensorboard safetensors bert text-classification generated_from_trainer base_model:pierreguillou/bert-base-cased-pt-lenerbr autotrain_compatible endpoints_compatible region:us