P

Ph Audio Classification V1

Developed by herbiel
A fine-tuned audio classification model based on DistilHuBERT, achieving 100% accuracy on the evaluation set
Downloads 272
Release Time : 11/20/2024

Model Overview

This model is a fine-tuned audio classification model based on ntu-spml/distilhubert on the audiofolder dataset, primarily used for audio classification tasks

Model Features

Efficient and Accurate
Achieves 100% accuracy on the evaluation set with an evaluation speed of 8.503 samples per second
Lightweight
Based on the DistilHuBERT architecture, making it more lightweight compared to the original HuBERT model
Easy to Fine-Tune
Trained using the standard Transformers library, supporting rapid transfer learning

Model Capabilities

Audio Classification
Audio Feature Extraction

Use Cases

Audio Analysis
Audio Content Classification
Classify audio clips to identify their content categories
Achieves 100% accuracy on the evaluation set
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