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Whisper Tiny Fleurs
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Whisper Tiny Fleurs
Developed by Pablex
An audio classification model fine-tuned based on openai/whisper-tiny, achieving 87% accuracy on the evaluation set
Downloads 3
Release Time : 10/22/2024
Model Overview
This model is a fine-tuned version based on openai/whisper-tiny, primarily used for audio classification tasks. It demonstrates excellent classification performance on specific datasets.
Model Features
High Accuracy
Achieves 87% accuracy on the evaluation set, demonstrating outstanding performance
Multi-GPU Training
Supports distributed training with multiple GPUs to improve training efficiency
Mixed Precision Training
Utilizes native AMP mixed precision training to optimize computational resource usage
Model Capabilities
Audio Classification
Speech Feature Extraction
Use Cases
Speech Processing
Speech Content Classification
Classifies and recognizes speech content
87% accuracy
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