---
license: mit
base_model: neuralmind/bert-base-portuguese-cased
tags:
- generated_from_trainer
model-index:
- name: categories-estimation
  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. -->

# categories-estimation

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.

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training Metrics


## Evaluation Metrics

{'eval_loss': 0.3545467257499695,
 'eval_F1': 0.8847876543649995,
 'eval_Accuracy': 0.9213957759412305,
 'eval_runtime': 14.8305,
 'eval_samples_per_second': 367.149,
 'eval_steps_per_second': 45.919,
 'epoch': 1.

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0