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Wav2musicgenre
W
Wav2musicgenre
Developed by ramonpzg
An audio classification model fine-tuned based on facebook/wav2vec2-base for music genre recognition
Downloads 20
Release Time : 6/15/2023
Model Overview
This model is a fine-tuned version of facebook/wav2vec2-base on an audio folder dataset, primarily used for music genre classification tasks.
Model Features
High Accuracy
Achieved 51.75% accuracy on the evaluation set
Efficient Training
Utilized gradient accumulation technique with a total training batch size of 128
Optimized Training
Trained using Adam optimizer and linear learning rate scheduler
Model Capabilities
Music Genre Classification
Audio Feature Extraction
Use Cases
Music Recommendation
Music Classification
Automatically identify the genre of music files
Accuracy 51.75%
Audio Analysis
Audio Feature Extraction
Extract feature representations of audio files
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