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---
license: mit
base_model: neuralmind/bert-base-portuguese-cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert_ENEM
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. -->
# bert_ENEM
This model is a fine-tuned version of [neuralmind/bert-base-portuguese-cased](https://huggingface.co/neuralmind/bert-base-portuguese-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.0267
- Accuracy: 0.3611
## 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: 5e-05
- train_batch_size: 3
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log | 1.0 | 107 | 1.6131 | 0.25 |
| No log | 2.0 | 214 | 1.5635 | 0.3333 |
| No log | 3.0 | 321 | 1.4007 | 0.4444 |
| No log | 4.0 | 428 | 1.9448 | 0.4167 |
| 1.137 | 5.0 | 535 | 2.1251 | 0.4167 |
| 1.137 | 6.0 | 642 | 2.4106 | 0.3889 |
| 1.137 | 7.0 | 749 | 2.5102 | 0.3333 |
| 1.137 | 8.0 | 856 | 2.6479 | 0.4167 |
| 1.137 | 9.0 | 963 | 2.9045 | 0.3889 |
| 0.0629 | 10.0 | 1070 | 3.0267 | 0.3611 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1
- Datasets 2.15.0
- Tokenizers 0.15.0
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