transformers tensorboard safetensors bert multiple-choice generated_from_trainer base_model:neuralmind/bert-base-portuguese-cased license:mit endpoints_compatible region:us
---
license: mit
base_model: neuralmind/bert-base-portuguese-cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert-base-portuguese-cased_ft-multilple-choice-enem-sample
  results: []
---

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# bert-base-portuguese-cased_ft-multilple-choice-enem-sample

This model is a fine-tuned version of [neuralmind/bert-base-portuguese-cased](https://huggingface.co/neuralmind/bert-base-portuguese-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5998
- Accuracy: 0.4022

## 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: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 346  | 1.3529          | 0.4457   |
| 1.3051        | 2.0   | 692  | 1.7823          | 0.4275   |
| 0.5312        | 3.0   | 1038 | 2.3728          | 0.3986   |
| 0.5312        | 4.0   | 1384 | 2.5998          | 0.4022   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
