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Teloxico/
modernBERT-4-disfluency

Name: modernBERT-4-disfluency
Availability: InStock

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modernbert

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ModernBERT-4-Disfluency

Production-ready disfluency detection model for speech processing.

Performance Metrics

F1 Score: 0.9527
Precision: 0.9678
Recall: 0.9380
Accuracy: 0.9817
False Positive Rate: 0.0076

Usage

python

from transformers import AutoTokenizer, AutoModelForTokenClassification, pipeline

tokenizer = AutoTokenizer.from_pretrained("modernBERT-4-disfluency")
model = AutoModelForTokenClassification.from_pretrained("modernBERT-4-disfluency")

detector = pipeline("token-classification", model=model, tokenizer=tokenizer)
results = detector("I um think that uh this works well")

Model Details

Base Architecture: ModernBERT
Task: Token Classification for Disfluency Detection
Training: A100 GPU optimized with advanced loss functions
Labels: FLUENT (0), DISFLUENT (1)

Teloxico/modernBERT-4-disfluency

ModernBERT-4-Disfluency

Performance Metrics

Usage

Model Details

Teloxico/
modernBERT-4-disfluency