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20.33% WER / 7.38% CER on 200 FLEURS-fa eval clips
The export repos are fixed-frame acoustic CTC-core artifacts. They take precomputed log-mel features as
processed_signal
; they are not full raw-audio-to-text pipelines by themselves.
Training Snapshot
Train manifest: 6,231,918 rows
Validation manifest: 31,424 rows
Final train step: 48,687
NeMo architecture: FastConformer hybrid RNNT/CTC
Benchmarks
External benchmark snapshot from June 10, 2026:
Decoder
Golha gold-69 WER
FLEURS fa WER
FLEURS fa CER
RNNT greedy
25.29
15.73
5.25
CTC + 4-gram LM, alpha=0.2 beta=-1.0 beam=50
25.96
13.60
5.39
The LM setting was calibrated on a FLEURS-256 slice and helped FLEURS WER, but did not improve Golha in this snapshot.
Notes
This is a research checkpoint. Normalization and tokenization choices matter for reported WER/CER.
Runs of Reza2kn visualears-fastconformer-fa-full-ab on huggingface.co
354
Total runs
0
24-hour runs
0
3-day runs
12
7-day runs
276
30-day runs
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