---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: pmfsl/mbert-base-finetuned-pt_br-stsb
  results: []
---

<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->

# pmfsl/mbert-base-finetuned-pt_br-stsb

This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.1085
- Validation Loss: 0.2331
- Train Pearsonr: 0.8853
- Epoch: 4

## 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:
- optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 4e-05, 'decay_steps': 2030, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Train Pearsonr | Epoch |
|:----------:|:---------------:|:--------------:|:-----:|
| 0.8113     | 0.4476          | 0.7836         | 0     |
| 0.2637     | 0.2973          | 0.8437         | 1     |
| 0.1819     | 0.2807          | 0.8646         | 2     |
| 0.1334     | 0.2370          | 0.8835         | 3     |
| 0.1085     | 0.2331          | 0.8853         | 4     |


### Framework versions

- Transformers 4.27.4
- TensorFlow 2.12.0
- Datasets 2.11.0
- Tokenizers 0.13.2