csukuangfj
commited on
Commit
•
13342fe
1
Parent(s):
db55216
add logs
Browse files- exp/decode-2.sh +33 -0
- exp/decode.sh +23 -0
- exp/log/log-train-2022-08-20-00-34-52-0 +0 -0
- exp/log/log-train-2022-08-20-00-34-52-1 +0 -0
- exp/log/log-train-2022-08-20-00-34-52-2 +0 -0
- exp/log/log-train-2022-08-20-00-34-52-3 +0 -0
- exp/log/log-train-2022-08-20-00-34-52-4 +0 -0
- exp/log/log-train-2022-08-20-00-34-52-5 +0 -0
- exp/log/log-train-2022-08-20-00-34-52-6 +0 -0
- exp/log/log-train-2022-08-20-00-34-52-7 +0 -0
- exp/log/log-train-2022-08-26-17-12-43-0 +0 -0
- exp/log/log-train-2022-08-26-17-12-43-1 +0 -0
- exp/log/log-train-2022-08-26-17-12-43-2 +0 -0
- exp/log/log-train-2022-08-26-17-12-43-3 +0 -0
- exp/log/log-train-2022-08-26-17-12-43-4 +0 -0
- exp/log/log-train-2022-08-26-17-12-43-5 +0 -0
- exp/log/log-train-2022-08-26-17-12-43-6 +0 -0
- exp/log/log-train-2022-08-26-17-12-43-7 +0 -0
- exp/run-pruned-rnnt-lstm2.sh +17 -0
exp/decode-2.sh
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#!/usr/bin/env bash
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export CUDA_VISIBLE_DEVICES="1"
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# for epoch in 7 6 5 4 3; do
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for m in greedy_search fast_beam_search modified_beam_search; do
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# for iter in 224000 222000 220000; do
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# for iter in 232000 230000 228000 226000; do
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# for iter in 256000 254000 252000 250000 248000 246000; do
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# for iter in 258000 254000 252000 250000 248000 246000; do
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# for iter in 260000; do
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# for iter in 264000 262000; do
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# for iter in 288000 286000 284000 282000 280000 278000; do
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# for iter in 288000 286000 284000 282000 280000 278000; do
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# for iter in 308000 306000 304000 302000 300000 ; do
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for iter in 474000; do
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for avg in 8 10 12 14 16 18; do
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./lstm_transducer_stateless2/decode.py \
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--iter $iter \
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--avg $avg \
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--exp-dir lstm_transducer_stateless2/exp \
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--max-duration 600 \
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--num-encoder-layers 12 \
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--rnn-hidden-size 1024 \
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--decoding-method $m \
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--use-averaged-model True \
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--beam 4 \
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--max-contexts 4 \
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--max-states 8 \
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--beam-size 4
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done
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done
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done
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exp/decode.sh
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#!/usr/bin/env bash
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export CUDA_VISIBLE_DEVICES="1"
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for m in greedy_search fast_beam_search modified_beam_search; do
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for epoch in 17; do
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for avg in 1 2; do
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./lstm_transducer_stateless2/decode.py \
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--epoch $epoch \
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--avg $avg \
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--exp-dir lstm_transducer_stateless2/exp \
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--max-duration 600 \
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--num-encoder-layers 12 \
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--rnn-hidden-size 1024 \
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--decoding-method $m \
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--use-averaged-model True \
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--beam 4 \
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--max-contexts 4 \
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--max-states 8 \
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--beam-size 4
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done
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done
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done
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exp/log/log-train-2022-08-20-00-34-52-0
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exp/log/log-train-2022-08-20-00-34-52-1
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exp/log/log-train-2022-08-20-00-34-52-2
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exp/log/log-train-2022-08-20-00-34-52-3
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exp/log/log-train-2022-08-20-00-34-52-4
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exp/log/log-train-2022-08-20-00-34-52-5
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exp/log/log-train-2022-08-20-00-34-52-6
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exp/log/log-train-2022-08-20-00-34-52-7
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exp/log/log-train-2022-08-26-17-12-43-0
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exp/log/log-train-2022-08-26-17-12-43-1
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exp/log/log-train-2022-08-26-17-12-43-2
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exp/log/log-train-2022-08-26-17-12-43-3
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exp/log/log-train-2022-08-26-17-12-43-4
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exp/log/log-train-2022-08-26-17-12-43-5
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exp/log/log-train-2022-08-26-17-12-43-6
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exp/log/log-train-2022-08-26-17-12-43-7
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exp/run-pruned-rnnt-lstm2.sh
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#!/usr/bin/env bash
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export CUDA_VISIBLE_DEVICES="0,1,2,3,4,5,6,7"
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. path.sh
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./lstm_transducer_stateless2/train.py \
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--world-size 8 \
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--num-epochs 35 \
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--start-epoch 10 \
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--full-libri 1 \
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--exp-dir lstm_transducer_stateless2/exp \
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--max-duration 500 \
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--use-fp16 0 \
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--lr-epochs 10 \
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--num-workers 2 \
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--giga-prob 0.9
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