Closed cuongngm closed 3 years ago
i solved problem by created my vocab in my languague and retrained model
Hi Could you explain how you created the vocab in your language? Did you list all possible words (or characters) in keys.txt? Looking forward to your reply. Thanks!
that's right
Thank you!
On Mon, May 24, 2021, 10:09 PM cuongng.m @.***> wrote:
that's right
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hi there, can u give me an example in vietnamese vocab :( thanks a lot
give me your email and i will send for you example of Vietnamese vocab
give me your email and i will send for you example of Vietnamese vocab nskhang1@gmail.com, thanks a lot
@cuongngm I'm having the same problem. Can you give me Vietnamese vocab? I am using vocab:
aAàÀảẢãÃáÁạẠăĂằẰẳẲẵẴắẮặẶâÂầẦẩẨẫẪấẤậẬbBcCdDđĐeEèÈẻẺẽẼéÉẹẸêÊềỀểỂễỄếẾệỆfFgGhHiIìÌỉỈĩĨíÍịỊjJkKlLmMnNoOòÒỏỎõÕóÓọỌôÔồỒổỔỗỖốỐộỘơƠờỜởỞỡỠớỚợỢpPqQrRsStTuUùÙủỦũŨúÚụỤưƯừỪửỬữỮứỨựỰvVwWxXyYỳỲỷỶỹỸýÝỵỴzZ0123456789!"#$%&''()*+,-./:;<=>?@[]^_`{|}~
Tks for your repo, the code is very clean. I trained your model with my dataset, the loss is converged good. But when predicted, a few the value of item['text'] was different format with the value of file .tsv. Example: "ÁO MOA TT CÀI CÚC" vs "ÁO MƯA TT CÀI CÚC",..vv Can you help me explain?