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Fairseq-S2T
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xuchen
Fairseq-S2T
Commits
9ac7a1aa
Commit
9ac7a1aa
authored
Mar 26, 2021
by
xuchen
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update the shell scripts
parent
f9fa133d
隐藏空白字符变更
内嵌
并排
正在显示
10 个修改的文件
包含
17 行增加
和
17 行删除
+17
-17
egs/mustc/asr/conf/train_ctc.yaml
+1
-1
egs/mustc/asr/run.sh
+1
-1
egs/mustc/asr/train.sh
+3
-3
egs/mustc/mt/conf/train.yaml
+1
-1
egs/mustc/mt/run.sh
+2
-2
egs/mustc/mt/train.sh
+1
-1
egs/mustc/st/conf/train.yaml
+1
-1
egs/mustc/st/conf/train_ctc.yaml
+1
-1
egs/mustc/st/conf/train_ctc_conformer.yaml
+2
-2
egs/mustc/st/run.sh
+4
-4
没有找到文件。
egs/mustc/asr/conf/train_ctc.yaml
查看文件 @
9ac7a1aa
...
...
@@ -34,7 +34,7 @@ dropout: 0.1
activation-fn
:
relu
encoder-embed-dim
:
256
encoder-ffn-embed-dim
:
2048
encoder-layers
:
12
encoder-layers
:
6
decoder-layers
:
6
encoder-attention-heads
:
4
...
...
egs/mustc/asr/run.sh
查看文件 @
9ac7a1aa
...
...
@@ -24,7 +24,7 @@ device=()
gpu_num
=
8
update_freq
=
1
root_dir
=
~/st/
fairseq
root_dir
=
~/st/
Fairseq-S2T
pwd_dir
=
$PWD
# dataset
...
...
egs/mustc/asr/train.sh
查看文件 @
9ac7a1aa
...
...
@@ -3,8 +3,8 @@
# training the model
gpu_num
=
8
update_freq
=
1
max_tokens
=
4
0000
update_freq
=
2
max_tokens
=
2
0000
extra_tag
=
extra_parameter
=
...
...
@@ -13,7 +13,7 @@ extra_parameter=
#extra_parameter="${extra_parameter} "
exp_tag
=
train_config
=
asr_
train_ctc.yaml
train_config
=
train_ctc.yaml
cmd
=
"./run.sh
--stage 1
...
...
egs/mustc/mt/conf/train.yaml
查看文件 @
9ac7a1aa
...
...
@@ -21,7 +21,7 @@ clip-norm: 10.0
lr-scheduler
:
inverse_sqrt
warmup-init-lr
:
1e-7
warmup-updates
:
8000
lr
:
1e-3
lr
:
5e-4
adam_betas
:
(0.9,0.98)
criterion
:
label_smoothed_cross_entropy
...
...
egs/mustc/mt/run.sh
查看文件 @
9ac7a1aa
...
...
@@ -24,7 +24,7 @@ device=()
gpu_num
=
8
update_freq
=
1
root_dir
=
~/st/
fairseq
root_dir
=
~/st/
Fairseq-S2T
pwd_dir
=
$PWD
# dataset
...
...
@@ -53,7 +53,7 @@ train_config=st_train_ctc.yaml
# training setting
fp16
=
1
max_tokens
=
40
000
max_tokens
=
40
96
step_valid
=
0
bleu_valid
=
0
...
...
egs/mustc/mt/train.sh
查看文件 @
9ac7a1aa
...
...
@@ -12,7 +12,7 @@ extra_parameter=
#extra_tag="${extra_tag}"
#extra_parameter="${extra_parameter} "
exp_tag
=
exp_tag
=
baseline
train_config
=
train.yaml
cmd
=
"./run.sh
...
...
egs/mustc/st/conf/train.yaml
查看文件 @
9ac7a1aa
...
...
@@ -33,7 +33,7 @@ dropout: 0.1
activation-fn
:
relu
encoder-embed-dim
:
256
encoder-ffn-embed-dim
:
2048
encoder-layers
:
12
encoder-layers
:
6
decoder-layers
:
6
encoder-attention-heads
:
4
...
...
egs/mustc/st/conf/train_ctc.yaml
查看文件 @
9ac7a1aa
...
...
@@ -34,7 +34,7 @@ dropout: 0.1
activation-fn
:
relu
encoder-embed-dim
:
256
encoder-ffn-embed-dim
:
2048
encoder-layers
:
12
encoder-layers
:
6
decoder-layers
:
6
encoder-attention-heads
:
4
...
...
egs/mustc/st/conf/train_ctc_conformer.yaml
查看文件 @
9ac7a1aa
train-subset
:
train_st
valid-subset
:
dev_st
max-epoch
:
10
0
max-epoch
:
5
0
max-update
:
100000
num-workers
:
8
...
...
@@ -34,7 +34,7 @@ dropout: 0.1
activation-fn
:
relu
encoder-embed-dim
:
256
encoder-ffn-embed-dim
:
2048
encoder-layers
:
12
encoder-layers
:
6
decoder-layers
:
6
encoder-attention-heads
:
4
...
...
egs/mustc/st/run.sh
查看文件 @
9ac7a1aa
...
...
@@ -24,7 +24,7 @@ device=()
gpu_num
=
8
update_freq
=
1
root_dir
=
~/st/
fairseq
root_dir
=
~/st/
Fairseq-S2T
pwd_dir
=
$PWD
# dataset
...
...
@@ -101,8 +101,8 @@ if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then
### Task dependent. You have to make data the following preparation part by yourself.
### But you can utilize Kaldi recipes in most cases
echo
"stage 0: ASR Data Preparation"
if
[[
!
-e
${
data_dir
}
]]
;
then
mkdir
-p
${
data_dir
}
if
[[
!
-e
${
data_dir
}
/
${
lang
}
]]
;
then
mkdir
-p
${
data_dir
}
/
${
lang
}
fi
cmd
=
"python
${
root_dir
}
/examples/speech_to_text/prep_mustc_data.py
...
...
@@ -166,7 +166,7 @@ if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
${
data_dir
}
--config-yaml
${
data_config
}
--train-config
${
train_config
}
--task
speech_to_text
--task
${
task
}
--max-tokens
${
max_tokens
}
--update-freq
${
update_freq
}
--log-interval 100
...
...
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