Wav2vec2 Base Finetuned Ks
An audio classification model fine-tuned on an audio folder dataset based on the wav2vec2-base model, achieving 99.82% accuracy on the validation set
Downloads 54
Release Time : 4/16/2024
Model Overview
This model is a fine-tuned version of the wav2vec2-base architecture, specifically designed for audio classification tasks. It demonstrates extremely high accuracy (99.82%) on the evaluation set, making it suitable for applications requiring high-precision audio classification.
Model Features
High Accuracy
Achieves 99.82% classification accuracy on the validation set
Based on wav2vec2 Architecture
Utilizes the proven wav2vec2-base architecture as the foundation model
Efficient Fine-tuning
Requires only 5 training epochs to achieve high performance
Model Capabilities
Audio Classification
Speech Feature Extraction
Use Cases
Speech Recognition
Keyword Spotting
Identify specific keywords or phrases in audio
High-accuracy keyword detection
Audio Analysis
Audio Event Detection
Detect and classify specific events or sounds in audio
Featured Recommended AI Models
Š 2025AIbase