Open-source Vietnamese dialect classification audio model - Precise recognition, with an F1 score of 0.8217 on the evaluation set!

Vietnamese Regional Accent Classification Model

Developed by thangtrungnguyen

This is an audio classification model for classifying Vietnamese dialects, achieving an F1 score of 0.8217 on the evaluation set.

Downloads 36

Release Time : 10/7/2024

Model Overview

This model is primarily used to classify different Vietnamese dialects and is applicable in the fields of speech recognition and dialect research.

High accuracy

Achieves an F1 score of 0.8217 on the evaluation set, demonstrating excellent performance

Multi-dialect support

Capable of identifying different Vietnamese dialects

Efficient training

Utilizes the Adam optimizer and linear learning rate scheduler for efficient training

Vietnamese dialect classification

Audio feature extraction

Speech recognition assistance

Speech recognition

Dialect identification system

Used to identify the Vietnamese dialect spoken by the speaker

High accuracy

Linguistic research

Dialect distribution research

Assists linguists in studying the geographical distribution of Vietnamese dialects

Property	Details
Library Name	transformers
License	cc-by-nc-4.0
Tags	generated_from_trainer
Metrics	f1
Model Name	vietnamese-regional-accent-classification-model
Task	Audio Classification
F1 Score	0.8217287598030195

Training Loss	Epoch	Step	F1	Validation Loss
1.0507	1.0	44	0.7563	0.8615
0.8157	2.0	88	0.7804	0.7120
0.7555	3.0	132	0.7981	0.6501
0.7006	4.0	176	0.7635	0.6767
0.6825	5.0	220	0.8005	0.6370
0.6595	6.0	264	0.7735	0.6832
0.6634	7.0	308	0.8078	0.6044
0.627	8.0	352	0.7873	0.6399
0.603	9.0	396	0.8255	0.5825
0.5977	10.0	440	0.8180	0.5931
0.5635	11.0	484	0.8217	0.5951

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