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Wav2vec2 Base Toy Train Data Slow 10pct
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Wav2vec2 Base Toy Train Data Slow 10pct
Developed by scasutt
A speech recognition model fine-tuned on an unknown dataset based on facebook/wav2vec2-base, with a Word Error Rate (WER) of 0.7175
Downloads 22
Release Time : 3/27/2022
Model Overview
This model is a fine-tuned version of wav2vec2-base, primarily used for speech recognition tasks. The model demonstrates certain recognition capabilities on the evaluation set but still has room for improvement.
Model Features
Fine-tuned based on wav2vec2-base
Fine-tuned on the base wav2vec2 model to adapt to specific speech recognition tasks
Linear Learning Rate Scheduling
Adopts a linear learning rate scheduling strategy with a 1000-step warm-up period
Gradient Accumulation Training
Uses gradient accumulation (steps=2) to increase effective batch size
Model Capabilities
Speech-to-Text
Automatic Speech Recognition
Use Cases
Speech Transcription
Meeting Minutes Transcription
Convert meeting recordings into text transcripts
Word Error Rate 0.7175
Voice Command Recognition
Recognize simple voice commands
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