{"action":"opened","issue":{"url":"https://api.github.com/repos/macanv/BERT-BiLSTM-CRF-NER/issues/118","repository_url":"https://api.github.com/repos/macanv/BERT-BiLSTM-CRF-NER","labels_url":"https://api.github.com/repos/macanv/BERT-BiLSTM-CRF-NER/issues/118/labels{/name}","comments_url":"https://api.github.com/repos/macanv/BERT-BiLSTM-CRF-NER/issues/118/comments","events_url":"https://api.github.com/repos/macanv/BERT-BiLSTM-CRF-NER/issues/118/events","html_url":"https://github.com/macanv/BERT-BiLSTM-CRF-NER/issues/118","id":438051964,"node_id":"MDU6SXNzdWU0MzgwNTE5NjQ=","number":118,"title":"为啥运行bert_lstm_ner.py没有反应呢？","user":{"login":"jufengada","id":33510761,"node_id":"MDQ6VXNlcjMzNTEwNzYx","avatar_url":"https://avatars1.githubusercontent.com/u/33510761?v=4","gravatar_id":"","url":"https://api.github.com/users/jufengada","html_url":"https://github.com/jufengada","followers_url":"https://api.github.com/users/jufengada/followers","following_url":"https://api.github.com/users/jufengada/following{/other_user}","gists_url":"https://api.github.com/users/jufengada/gists{/gist_id}","starred_url":"https://api.github.com/users/jufengada/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/jufengada/subscriptions","organizations_url":"https://api.github.com/users/jufengada/orgs","repos_url":"https://api.github.com/users/jufengada/repos","events_url":"https://api.github.com/users/jufengada/events{/privacy}","received_events_url":"https://api.github.com/users/jufengada/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2019-04-28T12:35:13Z","updated_at":"2019-04-28T12:35:13Z","closed_at":null,"author_association":"NONE","body":"python3 bert_lstm_ner.py  --task_name=\"NER\"  \\--do_train=True   \\\r\n                  --do_eval=True   \\\r\n                  --do_predict=True \\\r\n                  --data_dir=NERdata   \\\r\n                  --vocab_file=/home/TengWei/BERT-BiLSTM-CRF-NER-master/chinese_L-12_H-768_A-12/vocab.txt \\ \r\n                  --bert_config_file=/home/TengWei/BERT-BiLSTM-CRF-NER-master/chinese_L-12_H-768_A-12/bert_config.json \\  \r\n                  --init_checkpoint=/home/TengWei/BERT-BiLSTM-CRF-NER-master/chinese_L-12_H-768_A-12/bert_model.ckpt   \\\r\n                  --max_seq_length=128   \\\r\n                  --train_batch_size=32   \\\r\n                  --learning_rate=2e-5   \\\r\n                  --num_train_epochs=3.0   \\\r\n                  --output_dir=./output/result_dir/\r\n"}}
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