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@ -1013,6 +1013,7 @@ def train_one_epoch(
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scaler.scale(loss).backward()
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scaler.scale(loss).backward()
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else:
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else:
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logging.warning(f"Grad scale is small: {cur_grad_scale}")
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logging.warning(f"Grad scale is small: {cur_grad_scale}")
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if params.multi_optim and batch_idx % params.accum_grads == 0:
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if params.multi_optim and batch_idx % params.accum_grads == 0:
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set_batch_count(model, params.batch_idx_train)
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set_batch_count(model, params.batch_idx_train)
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scheduler_enc.step_batch(params.batch_idx_train)
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scheduler_enc.step_batch(params.batch_idx_train)
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@ -36,13 +36,12 @@ else
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--enable-spec-aug False \
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--enable-spec-aug False \
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--multi-optim True \
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--multi-optim True \
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--world-size 4 \
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--world-size 4 \
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--start-batch 34000 \
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--num-epochs 30 \
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--num-epochs 30 \
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--start-epoch 6 \
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--full-libri 1 \
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--full-libri 1 \
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--exp-dir ./pruned_transducer_stateless_d2v_v2/$1 \
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--exp-dir ./pruned_transducer_stateless_d2v_v2/$1 \
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--max-duration 150 \
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--max-duration 150 \
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--freeze-finetune-updates 2000 \
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--freeze-finetune-updates 2000 # --use-fp16 1 \
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--use-fp16 1 \
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--peak-enc-lr 0.001 \
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--peak-enc-lr 0.001 \
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--peak-dec-lr 0.5 \
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--peak-dec-lr 0.5 \
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--accum-grads 3 \
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--accum-grads 3 \
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@ -55,3 +54,5 @@ else
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--context-size 2 \
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--context-size 2 \
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--ctc-loss-scale 0.2
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--ctc-loss-scale 0.2
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fi
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fi
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#--start-epoch 6 \
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