language_detector Open-source Language Detection Model - Accurately identify languages with a 96.47% accuracy rate on the evaluation set

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Language Detector

Developed by fitlemon

A language detection model fine-tuned based on openai/whisper-small, achieving 96.47% accuracy on the evaluation set

Speech Recognition

Transformers

Open Source License:Apache-2.0 #High-precision language detection #Multilingual support #Speech-to-text

Downloads 18

Release Time : 3/3/2024

Model Overview

This model is primarily used for language detection tasks, capable of identifying the language type of input audio or text.

Model Features

High accuracy

Achieves 96.47% accuracy and 96.44% F1 score on the evaluation set

Based on Whisper architecture

Fine-tuned from the mature Whisper-small model, offering reliable speech processing capabilities

Efficient training

Utilizes Adam optimizer and linear learning rate scheduler for efficient training

Model Capabilities

Language detection

Speech recognition

Use Cases

Speech processing

Multilingual speech recognition preprocessing

Detect language type before speech recognition

Improves recognition accuracy in multilingual environments

Content moderation

Detect the language type of audio content

Assists in content classification and moderation

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.0	1.0	4000	0.2196	0.9647	0.9644

Property	Details
Model Type	Fine - tuned version of openai/whisper - small
Training Data	None dataset
Metrics	accuracy, f1
License	Apache 2.0

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Language Detector

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 Language Detector

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📚 Documentation

Model description

Intended uses & limitations

Training and evaluation data

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Training hyperparameters

Training results

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