Ph Audio Classification V1
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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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