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kaist-dmlab / BioNER

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train.py can not be run #1

Open yetfan opened 3 years ago

yetfan commented 3 years ago

Hi, there,

A new version train,py based on pytorch cannot be run, maybe more files are needed (CRF_baseline.py CRF_united.py) and there is no model named "CRF" and the dataset.py also needs to be changed(unmatched parameters).

train.py train_dataset = DatasetPreprosessed(args.tagging_scheme, args.dataset_name, args.elmo_embedding_dim, args.elmo_dropout_rate, args.elmo_n_layers, CHAR_MAX_LENGTH, True if args.inp_config == "full" or args.inp_config == "w2v" else False, args.char_cnn, device=device, train=True) dataset.py class DatasetPreprosessed(Dataset): ... def init(self, tagging_scheme, dataset_name, model_type, embedding_dim, character_token_valid_max_length, train=True):

skhong0831 commented 3 years ago

Hi, Fan Ye Sorry for late response. I will make a response soon. Regards,

S. K. Hong

On Sun, Oct 4, 2020 at 10:25 PM Fan Ye notifications@github.com wrote:

Hi, there,

A new version train,py based on pytorch cannot be run, maybe more files are needed (CRF_baseline.py CRF_united.py) and there is no model named "CRF" and the dataset.py also needs to be changed(unmatched parameters).

train.py train_dataset = DatasetPreprosessed(args.tagging_scheme, args.dataset_name, args.elmo_embedding_dim, args.elmo_dropout_rate, args.elmo_n_layers, CHAR_MAX_LENGTH, True if args.inp_config == "full" or args.inp_config == "w2v" else False, args.char_cnn, device=device, train=True) dataset.py class DatasetPreprosessed(Dataset): ... def init(self, tagging_scheme, dataset_name, model_type, embedding_dim, character_token_valid_max_length, train=True):

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