---
base_model: vinai/PhoWhisper-small
tags:
- generated_from_trainer
datasets:
- hr16/ViSpeech-Gender-Dialect
model-index:
- name: PhoWhisper-small-ViSpeech-Classifier
  results: []
license: apache-2.0
language:
- vi
library_name: transformers
---

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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/hr16/huggingface/runs/o5fxowil)
# PhoWhisper-small-ViSpeech-Classifier

This model is a fine-tuned version of [vinai/PhoWhisper-small](https://huggingface.co/vinai/PhoWhisper-small) on the hr16/ViSpeech-Gender-Dialect dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.7559
- eval_accuracy: 0.7857
- eval_runtime: 173.7931
- eval_samples_per_second: 16.059
- eval_steps_per_second: 2.008
- epoch: 3.0
- step: 3141

## 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: 8
- 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_ratio: 0.1
- num_epochs: 10
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1