基于BERT+Tensorflow+Horovod的NLU（意图识别+槽位填充）分布式GPU训练模块.zip

[{"title":"（ 96 个子文件 7.26MB ） 基于BERT+Tensorflow+Horovod的NLU（意图识别+槽位填充）分布式GPU训练模块.zip","children":[{"title":"JointBERT_nlu_tf-master","children":[{"title":"run_intent_slot_jion_task_bert.py <span style='color:#111;'> 47.08KB </span>","children":null,"spread":false},{"title":"data","children":[{"title":"input","children":[{"title":"atis_Intent_Detection_and_Slot_Filling","children":[{"title":"train","children":[{"title":"check_train_raw_data.py <span style='color:#111;'> 173B </span>","children":null,"spread":false},{"title":"seq.out <span style='color:#111;'> 405.82KB </span>","children":null,"spread":false},{"title":"seq.in <span style='color:#111;'> 283.05KB </span>","children":null,"spread":false},{"title":"label <span style='color:#111;'> 56.48KB </span>","children":null,"spread":false}],"spread":true},{"title":"valid","children":[{"title":"seq.out <span style='color:#111;'> 46.64KB </span>","children":null,"spread":false},{"title":"seq.in <span style='color:#111;'> 31.99KB </span>","children":null,"spread":false},{"title":"label <span style='color:#111;'> 6.37KB </span>","children":null,"spread":false}],"spread":true},{"title":"test","children":[{"title":"seq.out <span style='color:#111;'> 79.33KB </span>","children":null,"spread":false},{"title":"seq.in <span style='color:#111;'> 50.90KB </span>","children":null,"spread":false},{"title":"label <span style='color:#111;'> 11.36KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"CoNLL2003_NER","children":[{"title":"train","children":[{"title":"seq.out <span style='color:#111;'> 535.10KB </span>","children":null,"spread":false},{"title":"seq.in <span style='color:#111;'> 1.04MB </span>","children":null,"spread":false}],"spread":true},{"title":"dev.txt <span style='color:#111;'> 808.05KB </span>","children":null,"spread":false},{"title":"valid","children":[{"title":"seq.out <span style='color:#111;'> 135.14KB </span>","children":null,"spread":false},{"title":"seq.in <span style='color:#111;'> 269.07KB </span>","children":null,"spread":false}],"spread":true},{"title":"test","children":[{"title":"seq.out <span style='color:#111;'> 123.28KB </span>","children":null,"spread":false},{"title":"seq.in <span style='color:#111;'> 240.77KB </span>","children":null,"spread":false}],"spread":true},{"title":"test.txt <span style='color:#111;'> 730.56KB </span>","children":null,"spread":false},{"title":"conll03_raw_data_to_stand_file.py <span style='color:#111;'> 1.55KB </span>","children":null,"spread":false},{"title":"train.txt <span style='color:#111;'> 3.13MB </span>","children":null,"spread":false}],"spread":true},{"title":"snips_Intent_Detection_and_Slot_Filling","children":[{"title":"train","children":[{"title":"seq.out <span style='color:#111;'> 928.64KB </span>","children":null,"spread":false},{"title":"seq.in <span style='color:#111;'> 602.62KB </span>","children":null,"spread":false},{"title":"label <span style='color:#111;'> 180.21KB </span>","children":null,"spread":false},{"title":".ipynb_checkpoints","children":[{"title":"seq-checkpoint.in <span style='color:#111;'> 602.62KB </span>","children":null,"spread":false},{"title":"label-checkpoint <span style='color:#111;'> 180.21KB </span>","children":null,"spread":false},{"title":"seq-checkpoint.out <span style='color:#111;'> 928.64KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"valid","children":[{"title":"seq.out <span style='color:#111;'> 49.44KB </span>","children":null,"spread":false},{"title":"seq.in <span style='color:#111;'> 32.84KB </span>","children":null,"spread":false},{"title":"label <span style='color:#111;'> 9.67KB </span>","children":null,"spread":false}],"spread":true},{"title":"test","children":[{"title":"seq.out <span style='color:#111;'> 49.72KB </span>","children":null,"spread":false},{"title":"seq.in <span style='color:#111;'> 32.34KB </span>","children":null,"spread":false},{"title":"label <span style='color:#111;'> 9.88KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}],"spread":true}],"spread":true},{"title":"run_intent_bert.py <span style='color:#111;'> 44.27KB </span>","children":null,"spread":false},{"title":"docker","children":[{"title":"shortcuts.jupyterlab-settings <span style='color:#111;'> 184B </span>","children":null,"spread":false},{"title":"set_root_pw.sh <span style='color:#111;'> 719B </span>","children":null,"spread":false},{"title":"build_ngc.sh <span style='color:#111;'> 61B </span>","children":null,"spread":false},{"title":"bashrc <span style='color:#111;'> 1.23KB </span>","children":null,"spread":false},{"title":"run_jupyter.sh <span style='color:#111;'> 111B </span>","children":null,"spread":false},{"title":"run_ssh.sh <span style='color:#111;'> 686B </span>","children":null,"spread":false},{"title":"airflow.yaml <span style='color:#111;'> 4.79KB </span>","children":null,"spread":false},{"title":"simhei.ttf <span style='color:#111;'> 9.30MB </span>","children":null,"spread":false},{"title":"ubuntu_sources.list <span style='color:#111;'> 2.74KB </span>","children":null,"spread":false},{"title":"build_tensorrt.sh <span style='color:#111;'> 62B </span>","children":null,"spread":false},{"title":"tensorrt.Dockerfile <span style='color:#111;'> 4.90KB </span>","children":null,"spread":false},{"title":"ngc.Dockerfile <span style='color:#111;'> 3.80KB </span>","children":null,"spread":false},{"title":"build_airflow.sh <span style='color:#111;'> 58B </span>","children":null,"spread":false},{"title":"jupyter_notebook_config.py <span style='color:#111;'> 592B </span>","children":null,"spread":false},{"title":"triton.Dockerfile <span style='color:#111;'> 1.37KB </span>","children":null,"spread":false},{"title":"create_tf_container.sh <span style='color:#111;'> 289B </span>","children":null,"spread":false},{"title":"create_ngc_container.sh <span style='color:#111;'> 367B </span>","children":null,"spread":false},{"title":"create_pytorch_container.sh <span style='color:#111;'> 265B </span>","children":null,"spread":false},{"title":"model_train.yml <span style='color:#111;'> 1.33KB </span>","children":null,"spread":false},{"title":"supervisord.conf <span style='color:#111;'> 216B </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 516B </span>","children":null,"spread":false},{"title":"jupyter_server_config.py <span style='color:#111;'> 581B </span>","children":null,"spread":false},{"title":"airflow.Dockerfile <span style='color:#111;'> 1.95KB </span>","children":null,"spread":false},{"title":"create_trt_container.sh <span style='color:#111;'> 260B </span>","children":null,"spread":false}],"spread":false},{"title":"utils","children":[{"title":"calculate_model_score.py <span style='color:#111;'> 25.56KB </span>","children":null,"spread":false},{"title":"score_summarization.py <span style='color:#111;'> 868B </span>","children":null,"spread":false},{"title":"model","children":[{"title":"bert","children":[{"title":"modeling_test.py <span style='color:#111;'> 8.98KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 616B </span>","children":null,"spread":false},{"title":"extract_features.py <span style='color:#111;'> 13.57KB </span>","children":null,"spread":false},{"title":"LICENSE <span style='color:#111;'> 11.09KB </span>","children":null,"spread":false},{"title":"run_pretraining.py <span style='color:#111;'> 18.23KB </span>","children":null,"spread":false},{"title":"sample_text.txt <span style='color:#111;'> 4.29KB </span>","children":null,"spread":false},{"title":"CONTRIBUTING.md <span style='color:#111;'> 1.29KB </span>","children":null,"spread":false},{"title":"optimization_test.py <span style='color:#111;'> 1.68KB </span>","children":null,"spread":false},{"title":"modeling.py <span style='color:#111;'> 37.03KB </span>","children":null,"spread":false},{"title":"optimization_hvd.py <span style='color:#111;'> 7.32KB </span>","children":null,"spread":false},{"title":"optimization.py <span style='color:#111;'> 6.11KB </span>","children":null,"spread":false},{"title":"tokenization_test.py <span style='color:#111;'> 4.42KB </span>","children":null,"spread":false},{"title":"tokenization.py <span style='color:#111;'> 11.97KB </span>","children":null,"spread":false},{"title":"requirements.txt <span style='color:#111;'> 110B </span>","children":null,"spread":false},{"title":"predicting_movie_reviews_with_bert_on_tf_hub.ipynb <span style='color:#111;'> 64.93KB </span>","children":null,"spread":false},{"title":"create_pretraining_data.py <span style='color:#111;'> 14.88KB </span>","children":null,"spread":false},{"title":".gitignore <span style='color:#111;'> 1.33KB </span>","children":null,"spread":false},{"title":"run_classifier_with_tfhub.py <span style='color:#111;'> 9.33KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 41.77KB </span>","children":null,"spread":false},{"title":"multilingual.md <span style='color:#111;'> 11.03KB </span>","children":null,"spread":false},{"title":"run_classifier.py <span style='color:#111;'> 33.97KB </span>","children":null,"spread":false},{"title":"run_squad.py <span style='color:#111;'> 45.44KB </span>","children":null,"spread":false}],"spread":false}],"spread":true}],"spread":true},{"title":".idea","children":[{"title":"misc.xml <span style='color:#111;'> 185B </span>","children":null,"spread":false},{"title":"inspectionProfiles","children":[{"title":"profiles_settings.xml <span style='color:#111;'> 174B </span>","children":null,"spread":false}],"spread":true},{"title":"modules.xml <span style='color:#111;'> 284B </span>","children":null,"spread":false},{"title":"deployment.xml <span style='color:#111;'> 441B </span>","children":null,"spread":false},{"title":".gitignore <span style='color:#111;'> 176B </span>","children":null,"spread":false},{"title":"JointBERT_nlu_tf.iml <span style='color:#111;'> 284B </span>","children":null,"spread":false}],"spread":true},{"title":"run_slot_bert.py <span style='color:#111;'> 40.62KB </span>","children":null,"spread":false},{"title":"config","children":[{"title":"config.py <span style='color:#111;'> 524B </span>","children":null,"spread":false}],"spread":true},{"title":"scripts","children":[{"title":"slot_task","children":[{"title":"test.sh <span style='color:#111;'> 229B </span>","children":null,"spread":false},{"title":"run.sh <span style='color:#111;'> 398B </span>","children":null,"spread":false}],"spread":true},{"title":"intent_task","children":[{"title":"test.sh <span style='color:#111;'> 235B </span>","children":null,"spread":false},{"title":"run.sh <span style='color:#111;'> 401B </span>","children":null,"spread":false}],"spread":true},{"title":"join_task","children":[{"title":"test.sh <span style='color:#111;'> 246B </span>","children":null,"spread":false},{"title":"run.sh <span style='color:#111;'> 414B </span>","children":null,"spread":false}],"spread":true}],"spread":true}],"spread":true}],"spread":true}]