---
license: mit
tags:
- generated_from_trainer
model-index:
- name: result
  results: []
---

# result

This model is a fine-tuned version of [neuralmind/bert-large-portuguese-cased](https://huggingface.co/neuralmind/bert-large-portuguese-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8031

## 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: 2
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results

### Eval metrics

  epoch                   =        3.0
  eval_loss               =     0.8031
  eval_runtime            = 0:02:17.77
  eval_samples            =        134
  eval_samples_per_second =      0.973
  eval_steps_per_second   =      0.123
  perplexity              =     2.2325

### Framework versions

- Transformers 4.13.0.dev0
- Pytorch 1.10.0+cu102
- Datasets 1.16.1
- Tokenizers 0.10.3