transformers pytorch wav2vec2 automatic-speech-recognition generated_from_trainer license:cc-by-nc-4.0 endpoints_compatible region:us
---
license: cc-by-nc-4.0
tags:
- generated_from_trainer
model-index:
- name: blue
  results: []
---

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# blue

This model is a fine-tuned version of [nguyenvulebinh/wav2vec2-base-vietnamese-250h](https://huggingface.co/nguyenvulebinh/wav2vec2-base-vietnamese-250h) on the None 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: 0.0001
- 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
- lr_scheduler_warmup_steps: 1000
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.17.0
- Pytorch 2.2.1+cu121
- Datasets 2.7.1
- Tokenizers 0.19.1
