transformers tensorboard safetensors wav2vec2-bert automatic-speech-recognition generated_from_trainer dataset:common_voice_16_0 base_model:ocordeiro/w2v-bert-2.0-portuguese-colab-CV16.0 endpoints_compatible region:us
---
base_model: ocordeiro/w2v-bert-2.0-portuguese-colab-CV16.0
tags:
- generated_from_trainer
datasets:
- common_voice_16_0
model-index:
- name: w2v-bert-2.0-portuguese-colab-CV16.0
  results: []
---

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# w2v-bert-2.0-portuguese-colab-CV16.0

This model is a fine-tuned version of [ocordeiro/w2v-bert-2.0-portuguese-colab-CV16.0](https://huggingface.co/ocordeiro/w2v-bert-2.0-portuguese-colab-CV16.0) on the common_voice_16_0 dataset.

## 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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.37.1
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
