Contributing pretrained models (wmt17.zh-en)

[twairball]

Hi guys,

I'd like to contribute my models i've trained on wmt17 news commentary for chinese-english.

Are there any guidelines on dataset? I randomly split dataset 80% training 10% validation 10% test.

(website mentions they don't have preprocessed training or dev sets for zh-en) http://www.statmt.org/wmt17/translation-task.html

• wmt17.zh-en.fconv-cuda: Pre-trained model for WMT17 Chinese-English
• wmt17.zh-en.fconv-float: CPU version of the above

Model	Epochs	Training Time	BLEU4 (beam1)	BLEU4 (beam5)	BLEU4 (beam10)	BLEU4 (beam20)
fconv	25	~2hrs	63.49	62.22	62.52	62.74
blstm	30	~8hrs	64.59	64.15	64.38	63.76
convenc	47	~7hrs	50.91	56.71	56.83	53.66

(Comment edited with links to models and training results)

[michaelauli]

Thanks! Before adding the model, please add a README.md similar to the other pretrained models (https://github.com/facebookresearch/fairseq#pre-trained-models) describing the data pre-processing. Each archive also contains source/target dictionaries as well as an optional bpe code file (if the data was bpe encoded), e.g.,

$ ls wmt16.en-ro.fconv-float bpecodes dict.en.th7 dict.ro.th7 model.th7 README.md

[twairball]

Thanks for the reply michael -- I'll fix that up soon.

[neoyang0620]

Hi, the link contains pretrained-models doesn't work. Could you please give me another valid link?