Wav2vec2 Turkish Gender Classification Model - Open-source for Precise Speech Gender Recognition with Over 84% Accuracy

Wav2vec2 Turkish Gender Classification

Developed by candenizkocak

A Turkish gender classification model fine-tuned from facebook/wav2vec2-base, trained on the common_voice_17_0 dataset with a test set accuracy of 84.79%

Audio Classification

Transformers

Open Source License:Apache-2.0 #Turkish Speech Gender Classification #High Accuracy Audio Classification #Fine-tuned wav2vec2

Downloads 19

Release Time : 9/16/2024

Model Overview

This model is designed for Turkish speech gender classification tasks, capable of determining the speaker's gender from audio clips

Model Features

High Accuracy

Achieves 84.79% accuracy on the Turkish test set

Based on wav2vec2 Architecture

Uses facebook's wav2vec2-base as the base model, with excellent speech feature extraction capabilities

Lightweight Fine-tuning

Implemented through fine-tuning a pre-trained model, ensuring high training efficiency

Model Capabilities

Speech Gender Classification

Turkish Speech Processing

Use Cases

Speech Analysis

Speech Gender Recognition

Analyze Turkish speech clips and identify the speaker's gender

Test set accuracy: 84.79%

Speech Data Preprocessing

Speech Dataset Classification

Automatically classify Turkish speech datasets by gender

🚀 wav2vec2_turkish_gender_classification

This model is designed for audio classification, specifically for gender classification in Turkish audio. It is a fine - tuned version of the base model, which can effectively classify gender in Turkish audio data, providing high - accuracy results.

🚀 Quick Start

This model is a fine - tuned version of [facebook/wav2vec2 - base](https://huggingface.co/facebook/wav2vec2 - base) on the common_voice_17_0 dataset. It achieves the following results on the evaluation set:

Loss: 0.7567
Accuracy: 0.8479

📚 Documentation

Model Information

Property	Details
Library Name	transformers
License	apache - 2.0
Base Model	facebook/wav2vec2 - base
Tags	generated_from_trainer
Datasets	common_voice_17_0
Metrics	accuracy

Model Index

The model named wav2vec2_turkish_gender_classification has the following results:

Task:
- Name: Audio Classification
- Type: audio - classification
Dataset:
- Name: common_voice_17_0
- Type: common_voice_17_0
- Config: tr
- Split: test
- Args: tr
Metrics:
- Name: Accuracy
- Type: accuracy
- Value: 0.8478508073686605

Training Procedure

Training Hyperparameters

The following hyperparameters were used during training:

learning_rate: 3e - 05
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
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

Training Results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.1723	0.9968	233	0.5006	0.8003
0.0967	1.9979	467	0.3800	0.8722
0.0696	2.9989	701	0.5256	0.8449
0.0451	4.0	935	0.5080	0.8879
0.0647	4.9968	1168	0.5977	0.8551
0.0322	5.9979	1402	0.7294	0.8463
0.0249	6.9989	1636	1.0826	0.7830
0.0189	8.0	1870	0.6995	0.8485
0.0276	8.9968	2103	0.8064	0.8360
0.0167	9.9679	2330	0.7567	0.8479

Framework Versions

Transformers 4.44.2
Pytorch 2.4.0+cu121
Datasets 3.0.0
Tokenizers 0.19.1

📄 License

This model is licensed under the apache - 2.0 license.

Featured Recommended AI Models

Empowering the Future, Your AI Solution Knowledge Base

English 简体中文繁體中文にほんご