ModernBERT Disfluency Detection — Exp B (Mixed 80/20)
Fine-tuned from answerdotai/ModernBERT-base on mixed data (80% synthetic / 20% real) from FluencyBank Timestamped.
Dataset
- Config:
mixed_8020dearielcerdap/disfluency-fluencybank - Train: 13713 segmentos (80% sint / 20% real)
- Val/Test: idénticos a Exp A para comparación directa
Labels
O · FP (filled pause) · RP (repetition) · RV (revision) · PW (partial word)
Test Results
| Label | P | R | F1 | Support |
|---|---|---|---|---|
| Label | P | R | F1 | Support |
| --- | --- | --- | --- | --- |
| O | 0.9710 | 0.9590 | 0.9650 | 3704 |
| FP | 0.9832 | 1.0000 | 0.9915 | 176 |
| RP | 0.6414 | 0.7299 | 0.6828 | 174 |
| RV | 0.1748 | 0.2907 | 0.2183 | 86 |
| PW | 0.9744 | 0.8155 | 0.8879 | 233 |
Macro F1 (4 disfluencias): 0.6951
Binary F1: 0.8006
Hyperparameters
- learning_rate: 5e-05
- epochs: 15
- warmup_steps: 963
- weight_decay: 0.1
- focal_loss_gamma: 3.0 (adaptive)
- class_weights: O=1.0, FP=3.0, RP=6.0, RV=20.0, PW=5.0
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