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device: cuda n_gpu: 2, distributed training: False, 16-bits training: False
# of word in train: 88120:
# of n-gram in memory: 49121
# of trainable parameters: 140006464
***** Running training *****
Num examples = 81190
Batch size = 16
Num steps = 253700
0%| | 0/5075 [00:00<?, ?it/s]
Epoch: 0%| | 0/50 [00:00<?, ?it/s]
Traceback (most recent call last):
File "/home/joshhu/workspace/WMSeg/wmseg_main.py", line 677, in <module>
main()
File "/home/joshhu/workspace/WMSeg/wmseg_main.py", line 667, in main
train(args)
File "/home/joshhu/workspace/WMSeg/wmseg_main.py", line 194, in train
train_features = convert_examples_to_features(batch_examples)
File "/home/joshhu/workspace/WMSeg/wmseg_model.py", line 270, in convert_examples_to_features
token = tokenizer.tokenize(word)
AttributeError: 'NoneType' object has no attribute 'tokenize'
感謝。
The text was updated successfully, but these errors were encountered:
/data/msr/
目錄下資料都在models/bert
中的config.json
設定好了run.sh
中的bert msr部分,出現下列情況,用torch1.1或1.3都一樣。感謝。
The text was updated successfully, but these errors were encountered: