W

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
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
Š 2025AIbase