JaonLiu

After training like that: ``` # For compression with a replacement scheduler export GLUE_DIR=glue_script/glue_data export TASK_NAME=MRPC python ./run_glue.py \ --model_name_or_path /home/bert-base \ --task_name $TASK_NAME \ --do_train \ --do_eval \ --do_lower_case...

Store MinHashLSH in redis, when do the query operation it takes too long?

1

Hi， I build MinHashLSH like that: ``` self.lsh = MinHashLSH( threshold=0.7 num_perm=128 storage_config={ 'type': 'redis', 'basename': b'test_', 'redis': {'host': host_ip, 'port': host_port, 'password': host_password, 'db': db_num, }, } ``` When...

请问数据下载能放百度网盘吗？

1

ModelWhale数据下载限制次数，一天只能下一次。请问能够放百度网盘吗？谢谢！

4个服务都部署起来了，但是聊天窗口输入无返回

6

已经依次部署Action、NLU、Core、UI，且服务都正常启动：     但是在聊天窗口输入语句，无返回：  且在UI端没有任何信息。请问下，是否有一定的请求url可以测试每个模块的服务确实部署成功？方便逐一模块排查。或者您有什么建议可以帮忙排查这个问题，谢谢！

Maybe your code exist some errors?

3

Hi @khanhnamle1994 I have read your code in Content_Based_and_Collaborative_Filtering_Models.ipynb, I think there are some errors in them. (1)when compute user_correlation,you use train_data directly. you can check the size of train_data,its...

Maybe your code exist some errors?

3

Hi @khanhnamle1994 I have read your code in Content_Based_and_Collaborative_Filtering_Models.ipynb, I think there are some errors in them. (1)when compute user_correlation,you use train_data directly. you can check the size of train_data,its...

Would plan to support BBPE

2

Hi，By now sentencepiece support BPE, unigram, char and word. Would you plan to support Byte-Level BPE(BBPE)？ Thanks a lot!

代码里面构建label2tag时候为啥特殊处理

2

代码中的`evaluate`函数里面 ``` for tag, label in self.tag2label.items(): label2tag[label] = tag if label != 0 else label ``` 构建label2tag映射时候，在对label=0做特殊处理。 我看你最后在进行评估(conlleval函数)的时候，又转回来了。 ``` tag = '0' if tag == 'O' else tag ```...

After use my own corpus to do domain-adaptive pretraining, the `vocab.txt` is the same size with the initialized model(BERT-base). In short, the domain-adaptive pretraining does not extend the vocabulary of...

tuple_filter.py中的疑问

21

在`tuple_filter.py` 中的`GetData_train`函数有如下代码： ``` for t in candidate_tuples: features = candidate_tuples[t] if len(gold_tuple) == len(set(gold_tuple).intersection(set(t))): X.append([features[9][0][1]]) Y.append([1]) else: prop = random.random() if prop