Vocabulary file line 344 has bad format token
Vocabulary Size: 21128
[BertClassifier] use visible_matrix: True
[KnowledgeGraph] Loading spo from /home/schen/K-BERT/brain/kgs/Medical.spo
Start training.
Loading sentences from ./datasets/medical_ner/train.tsv
There are 6919 sentence in total. We use 1 processes to inject knowledge into sentences.
{'text_a': 0, 'label': 1}
Progress of process 0: 0/6919
['山 ， 男 ， 7 3 岁 ， 汉 族 ， 已 婚 ， 现 住 双 滦 区 陈 栅 子 乡 太 阳 沟 村 。', 'O O O O O O O O O O O O O O O O O O O O O O O O O O O O']
Traceback (most recent call last):
File "run_kbert_cls.py", line 582, in
main()
File "run_kbert_cls.py", line 501, in main
trainset = read_dataset(args.train_path, workers_num=args.workers_num)
File "run_kbert_cls.py", line 329, in read_dataset
dataset = add_knowledge_worker(params)
File "run_kbert_cls.py", line 84, in add_knowledge_worker
label = int(line[columns["label"]])
ValueError: invalid literal for int() with base 10: 'O O O O O O O O O O O O O O O O O O O O O O O O O O O O'
Vocabulary file line 344 has bad format token Vocabulary Size: 21128 [BertClassifier] use visible_matrix: True [KnowledgeGraph] Loading spo from /home/schen/K-BERT/brain/kgs/Medical.spo Start training. Loading sentences from ./datasets/medical_ner/train.tsv There are 6919 sentence in total. We use 1 processes to inject knowledge into sentences. {'text_a': 0, 'label': 1} Progress of process 0: 0/6919 ['山 ， 男 ， 7 3 岁 ， 汉 族 ， 已 婚 ， 现 住 双 滦 区 陈 栅 子 乡 太 阳 沟 村 。', 'O O O O O O O O O O O O O O O O O O O O O O O O O O O O']
Traceback (most recent call last): File "run_kbert_cls.py", line 582, in
main()
File "run_kbert_cls.py", line 501, in main
trainset = read_dataset(args.train_path, workers_num=args.workers_num)
File "run_kbert_cls.py", line 329, in read_dataset
dataset = add_knowledge_worker(params)
File "run_kbert_cls.py", line 84, in add_knowledge_worker
label = int(line[columns["label"]])
ValueError: invalid literal for int() with base 10: 'O O O O O O O O O O O O O O O O O O O O O O O O O O O O'