Open astudent2022 opened 1 year ago
Hi, the vocab file can be obtained by counting all the symbol classes that appear in HME100K dataset. More details on how to split the dataset can be found in the paper.
Hi@LBH1024,
based on the details described for HME100K dataset in the paper, I can not reproduce the results. Can you provide more details about the config of optimizer used for HME100K dataset?
Thanks!
按照以下参数进行训练:
epochs: 90 batch_size: 8 workers: 0 train_parts: 3 valid_parts: 1 valid_start: 0 save_start: 0
optimizer: Adadelta lr: 1 lr_decay: cosine eps: 1e-6 weight_decay: 2e-5 beta: 0.9
Hi @LBH1024 . There are a few Chinese characters in the symbol class of HME100K, do I need to ignore these characters when building the vocab? Thanks!
Hi @LBH1024 . There are a few Chinese characters in the symbol class of HME100K, do I need to ignore these characters when building the vocab? Thanks!
These Chinese characters are need to be recognized, so you shouldn't ignore them.
These Chinese characters are need to be recognized, so you shouldn't ignore them.
Thanks
Hi @LBH1024, could you please provide the code or a more detailed explanation regarding the pre-processing steps you used on the HME100K dataset for training/inference?
Thanks.
Hi, how long does it take to train using the HME100K dataset? Can I refer to your training parameters?
Hi@LBH1024, Can you provide the vocab file used for HME100K dataset?
Besides, how do you split the dataset since there is no validation set? Thanks.