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---
license: mit
base_model: neuralmind/bert-base-portuguese-cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: file_classifier_v3
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. -->
# file_classifier_v3
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: 0.6714
- Accuracy: 0.8586
## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log | 1.0 | 73 | 0.7821 | 0.7966 |
| No log | 2.0 | 146 | 0.7362 | 0.8103 |
| No log | 3.0 | 219 | 0.6557 | 0.8207 |
| No log | 4.0 | 292 | 0.7113 | 0.8069 |
| No log | 5.0 | 365 | 0.6241 | 0.8379 |
| No log | 6.0 | 438 | 0.6169 | 0.8448 |
| 0.206 | 7.0 | 511 | 0.6305 | 0.8345 |
| 0.206 | 8.0 | 584 | 0.6552 | 0.8621 |
| 0.206 | 9.0 | 657 | 0.6110 | 0.8724 |
| 0.206 | 10.0 | 730 | 0.6937 | 0.8552 |
| 0.206 | 11.0 | 803 | 0.6749 | 0.8552 |
| 0.206 | 12.0 | 876 | 0.6484 | 0.8690 |
| 0.206 | 13.0 | 949 | 0.6889 | 0.8586 |
| 0.0253 | 14.0 | 1022 | 0.6630 | 0.8586 |
| 0.0253 | 15.0 | 1095 | 0.6714 | 0.8586 |
### Framework versions
- Transformers 4.42.4
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
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