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70 lines
1.8 KiB
Bash
Executable File
70 lines
1.8 KiB
Bash
Executable File
workstation=$3
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if [ $workstation = "whale" ]; then
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#export CUDA_VISIBLE_DEVICES="0,1,2,3,4,5,6,7"
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export CUDA_VISIBLE_DEVICES=0
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if [ ! -e ./pruned_transducer_stateless_d2v_v2/$1/.train.done ]; then
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./pruned_transducer_stateless_d2v_v2/prompt_tuning.py \
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--num-buckets 2 \
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--add-adapter True \
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--adapter-lr 0.1 \
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--gender male \
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--wandb False \
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--input-strategy AudioSamples \
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--enable-spec-aug False \
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--multi-optim False \
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--world-size 1 \
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--num-epochs 10000 \
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--num-updates 101 \
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--save-every-n 50 \
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--full-libri 1 \
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--exp-dir ./pruned_transducer_stateless_d2v_v2/$1 \
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--max-duration 200 \
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--encoder-dim 768 \
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--decoder-dim 768 \
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--joiner-dim 768 \
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--use-fp16 0 \
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--accum-grads 8 \
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--encoder-type d2v \
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--additional-block True \
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--prune-range 10 \
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--prompt True \
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--spk-id $2
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touch ./pruned_transducer_stateless_d2v_v2/$1/.train.done
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fi
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else
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export CUDA_VISIBLE_DEVICES="0,1,2,3"
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#rm ./pruned_transducer_stateless_d2v_v2/$1/.train.done
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if [ ! -e ./pruned_transducer_stateless_d2v_v2/$1/.train.done ]; then
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./pruned_transducer_stateless_d2v_v2/train_tta.py \
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--num-buckets 2 \
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--pea True \
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--lora True \
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--pea-lr 0.01 \
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--wandb False \
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--input-strategy AudioSamples \
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--enable-spec-aug False \
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--multi-optim False \
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--world-size 4 \
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--num-epochs 10000 \
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--num-updates 101 \
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--save-every-n 50 \
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--exp-dir ./pruned_transducer_stateless_d2v_v2/$1 \
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--max-duration 150 \
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--accum-grads 2 \
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--encoder-dim 768 \
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--decoder-dim 768 \
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--joiner-dim 768 \
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--use-fp16 0 \
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--accum-grads 2 \
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--encoder-type d2v \
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--additional-block True \
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--prune-range 10 \
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--spk-id $2 \
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--ctc-loss-scale 0. \
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--bpe-model ./../../librispeech/ASR/data/lang_bpe_500/bpe.model
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#touch ./pruned_transducer_stateless_d2v_v2/$1/.train.done
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fi
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fi
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