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LeeSureman / Flat-Lattice-Transformer

code for ACL 2020 paper: FLAT: Chinese NER Using Flat-Lattice Transformer
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catch这里出错了，删除后cache后重新跑还是会有同样的Traceback #67

Closed s1162276945 closed 3 years ago

s1162276945 commented 3 years ago

Save cache to cache\weibo_trainClip:Truebgminfreq_1char_min_freq_1word_min_freq_1only_train_min_freqTruenumber_norm0load_dataset_seed100. 用的词表的路径:D:/pycode/test/Flat-Lattice-Transformer/data/pretrain/chinese/ctb.50d.vec Save cache to cache/yj. Found 698668 out of 698670 words in the pre-training embedding. Found 17734 out of 17831 words in the pre-training embedding.

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Traceback (most recent call last): File "flat_main.py", line 291, in only_train_min_freq=args.only_train_min_freq) File "D:\Anaconda3\lib\site-packages\fastNLP\core\utils.py", line 160, in wrapper with open(cache_filepath, 'wb') as f: OSError: [Errno 22] Invalid argument: 'cache\weibo_lattice_only_train:False_trainClip:True_norm_num:0char_min_freq1bigram_min_freq1word_min_freq1only_train_min_freqTruenumber_norm0lexicon_yjload_dataset_seed 100'

s1162276945 commented 3 years ago

我知道了，是windows 的文件名不支持带冒号的。已解决，谢谢。

tomatowithpotato commented 3 years ago

我知道了，是windows 的文件名不支持带冒号的。已解决，谢谢。

老哥是咋解决的啊？求赐教

lvjiujin commented 2 years ago

我知道了，是windows 的文件名不支持带冒号的。已解决，谢谢。

老哥是咋解决的啊？求赐教

将flat_main.py中的下面的这行代码中的所有的":"替换成'-'即可。 cache_name = os.path.join('cache',(args.dataset+'_lattice'+'_only_train{}'+ '_trainClip:{}'+'_norm_num:{}' +'char_min_freq{}'+'bigram_min_freq{}'+'word_min_freq{}'+'only_train_min_freq{}' +'number_norm{}'+'lexicon_{}'+'load_dataset_seed{}') .format(args.only_lexicon_in_train, args.train_clip,args.number_normalized,args.char_min_freq, args.bigram_min_freq,args.word_min_freq,args.only_train_min_freq, args.number_normalized,args.lexicon_name,load_dataset_seed))

tomatowithpotato commented 2 years ago

我知道了，是windows 的文件名不支持带冒号的。已解决，谢谢。

老哥是咋解决的啊？求赐教

将flat_main.py中的下面的这行代码中的所有的":"替换成'-'即可。 cache_name = os.path.join('cache',(args.dataset+'_lattice'+'_only_train{}'+ '_trainClip:{}'+'_norm_num:{}' +'char_min_freq{}'+'bigram_min_freq{}'+'word_min_freq{}'+'only_train_min_freq{}' +'number_norm{}'+'lexicon_{}'+'load_dataset_seed{}') .format(args.only_lexicon_in_train, args.train_clip,args.number_normalized,args.char_min_freq, args.bigram_min_freq,args.word_min_freq,args.only_train_min_freq, args.number_normalized,args.lexicon_name,load_dataset_seed))

虽然之前已经发现了，但还是感谢老哥！

C929-x commented 1 year ago

Traceback (most recent call last): File "E:\yan\chong\daimaDemo\Flat-Lattice-Transformer-master\Flat-Lattice-Transformer-master\V0\flat_main.py", line 290, in datasets, vocabs, embeddings = equip_chinese_ner_with_lexicon(datasets, vocabs, embeddings, File "D:\Anaconda3\lib\site-packages\fastNLP\core\utils.py", line 160, in wrapper with open(cache_filepath, 'wb') as f: FileNotFoundError: [Errno 2] No such file or directory: 'cache\weibo_lattice_only_train#False_trainClip#True_norm_num#0char_min_freq1bigram_min_freq1word_min_freq1only_train_min_freqTruenumber_norm0lexicon_yjload_dataset_seed100'

修改后出现这个问题，请问你们有出现过吗，如何解决