teslacool SCA issues - Githubissues

teslacool / SCA

Soft Contextual Data Augmentation

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Bump torch from 0.4.1 to 2.2.0

#24 dependabot[bot] opened 3 months ago
0
Bump numpy from 1.13.3 to 1.22.0

#23 dependabot[bot] opened 2 years ago
0
Error training language model

#22 genbei closed 4 years ago
1
can you help me?

#21 genbei closed 4 years ago
2
A little problem about IWSLT

#20 genbei closed 4 years ago
1
Install fairseq error

#19 genbei closed 4 years ago
4
Why do you want to train two language models?

#18 genbei closed 4 years ago
1
Preprocessing script for Es-En and He-En

#17 marshmallow111 opened 4 years ago
1
setups for reproducing IWSLT14 De-en

#16 BaohaoLiao opened 4 years ago
4
unexpected key when generate

#15 BaohaoLiao opened 4 years ago
3
fix typos

#14 alphadl closed 4 years ago
0
Can anybody reproduce the results of paper ?

#13 KelleyYin closed 5 years ago
1
use of the language model layers during inference

#12 nicolabertoldi closed 5 years ago
3
not able to train a LM with SCA

#11 nicolabertoldi closed 5 years ago
1
no improvement with huge data

#10 nicolabertoldi closed 5 years ago
2
multilingual engine with SCA

#9 nicolabertoldi closed 5 years ago
3
Pull Request into fairseq

#8 nicolabertoldi closed 5 years ago
3
Problem of training efficiency

#7 pemywei closed 5 years ago
2
Why not train the lm-nmt with a baseline for warmup?

#6 pemywei closed 5 years ago
1
problem with interactive.py

#5 nicolabertoldi closed 5 years ago
12
*inf* value for ppl

#4 nicolabertoldi closed 5 years ago
3
optimization of SCA

#3 nicolabertoldi closed 5 years ago
2
which is the meaning of "I shift a sentence twice in decoder input"

#2 nicolabertoldi closed 5 years ago
3
Which ‘arch’ should I choose when training the language model

#1 socaty closed 5 years ago
2