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c511762 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 | #!/bin/bash
# Phase 3: scale-up. Warm-start from P1 (weights-only init), train on ~337h
# (IndicVoices-hi 307h + keywords + svarah + numbers) with x3 speed perturbation.
# bf16, pure CTC, causal streaming, fixed 103-char vocab.
set -e
source /workspace/venvs/icefall/bin/activate
export PYTHONPATH=/root/icefall:$PYTHONPATH
cd /root/icefall/egs/hindi/ASR
ROOT=/workspace/hindi_ft/asr_ctc
python zipformer/train.py \
--world-size 1 \
--num-epochs 15 \
--start-epoch 1 \
--init-ckpt $ROOT/exp_p1/epoch-30.pt \
--exp-dir $ROOT/exp_p3 \
--lang-dir $ROOT/data/lang_char \
--manifest-dir $ROOT/data/fbank_p3 \
--use-ctc 1 --use-transducer 0 --ctc-loss-scale 1.0 \
--causal 1 \
--chunk-size "16,32,64,-1" \
--left-context-frames "64,128,256,-1" \
--max-duration 300 \
--use-fp16 0 \
--num-workers 8 \
--enable-musan False \
--on-the-fly-feats True \
--base-lr 0.02 # warm-start lr; nan at batch~350 was a bad data sample (recurs at any lr), handled by skip-nan guard in train.py
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