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---
base_model: vinai/PhoWhisper-medium
tags:
- generated_from_trainer
model-index:
- name: PhoWhisper-medium-vispeech-classifier-v4
results: []
datasets:
- hr16/ViSpeech-Gender-Dialect-Classification
language:
- vi
metrics:
- accuracy
library_name: transformers
pipeline_tag: audio-classification
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# PhoWhisper-medium-vispeech-classifier-v4
This model is a fine-tuned version of [vinai/PhoWhisper-medium](https://huggingface.co/vinai/PhoWhisper-medium) on the hr16/ViSpeech-Gender-Dialect-Classification dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.3675
- eval_accuracy: 0.9131
- eval_runtime: 574.4362
- eval_samples_per_second: 5.191
- eval_steps_per_second: 0.649
- epoch: 3.0
- step: 4407
## 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: 3e-06
- 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: 5
- mixed_precision_training: Native AMP
### Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1 |