DEBUG:matplotlib:$HOME=/Users/tanghaojie
DEBUG:matplotlib:matplotlib data path /Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/mpl-data
DEBUG:matplotlib:loaded rc file /Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/mpl-data/matplotlibrc
DEBUG:matplotlib:matplotlib version 2.2.2
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is darwin
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INFO:root:正在从数据库读取原始数据
INFO:root:正在对原始数据进行数据扩增
INFO:root:正在统计原始数据的标签类型
INFO:root:正在制作词表
INFO:root:正在获取词向量
INFO:root:开始训练基础分类器
INFO:root:初始分类器准确率为0.508833922261484
INFO:root:开始第1次重训练
INFO:root:开始第2次重训练
INFO:root:开始第3次重训练
INFO:root:开始第4次重训练
INFO:root:开始第5次重训练
INFO:root:开始第6次重训练
INFO:root:开始第7次重训练
INFO:root:开始第8次重训练
INFO:root:训练完成，测试集准确率为0.508833922261484
DEBUG:matplotlib:$HOME=/Users/tanghaojie
DEBUG:matplotlib:matplotlib data path /Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/mpl-data
DEBUG:matplotlib:loaded rc file /Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/mpl-data/matplotlibrc
DEBUG:matplotlib:matplotlib version 2.2.2
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is darwin
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INFO:root:正在从数据库读取原始数据
INFO:root:正在对原始数据进行数据扩增
INFO:root:正在统计原始数据的标签类型
INFO:root:正在制作词表
INFO:root:正在获取词向量
INFO:root:开始训练基础分类器
INFO:root:初始分类器准确率为0.5275
INFO:root:开始第1次重训练
INFO:root:开始第2次重训练
INFO:root:开始第3次重训练
INFO:root:开始第4次重训练
INFO:root:开始第5次重训练
INFO:root:开始第6次重训练
INFO:root:开始第7次重训练
INFO:root:开始第8次重训练
INFO:root:训练完成，测试集准确率为0.52625
DEBUG:matplotlib:$HOME=/Users/tanghaojie
DEBUG:matplotlib:matplotlib data path /Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/mpl-data
DEBUG:matplotlib:loaded rc file /Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/mpl-data/matplotlibrc
DEBUG:matplotlib:matplotlib version 2.2.2
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is darwin
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'pandas.plotting._compat', 'pandas.plotting._tools', 'pandas.plotting._core', 'pandas.plotting._converter', 'matplotlib', 'matplotlib.cbook', 'matplotlib.cbook.deprecation', 'matplotlib.cbook._backports', 'matplotlib.compat', 'matplotlib.compat.subprocess', 'matplotlib.rcsetup', 'matplotlib.testing', 'matplotlib.fontconfig_pattern', 'pyparsing', 'matplotlib.colors', 'matplotlib._color_data', 'cycler', 'matplotlib._version']
INFO:root:正在从数据库读取原始数据
INFO:root:正在对原始数据进行数据扩增
INFO:root:正在统计原始数据的标签类型
INFO:root:正在制作词表
INFO:root:正在获取词向量
INFO:root:开始训练基础分类器
INFO:root:初始分类器准确率为0.4748322147651007
INFO:root:开始第1次重训练
INFO:root:开始第2次重训练
INFO:root:开始第3次重训练
INFO:root:开始第4次重训练
INFO:root:开始第5次重训练
INFO:root:开始第6次重训练
INFO:root:开始第7次重训练
INFO:root:开始第8次重训练
INFO:root:开始第9次重训练
INFO:root:开始第10次重训练
INFO:root:开始第11次重训练
INFO:root:开始第12次重训练
INFO:root:开始第13次重训练
INFO:root:开始第14次重训练
INFO:root:开始第15次重训练
INFO:root:训练完成，测试集准确率为0.27348993288590606
DEBUG:tensorflow:Falling back to TensorFlow client; we recommended you install the Cloud TPU client directly with pip install cloud-tpu-client.
DEBUG:h5py._conv:Creating converter from 7 to 5
DEBUG:h5py._conv:Creating converter from 5 to 7
DEBUG:h5py._conv:Creating converter from 7 to 5
DEBUG:h5py._conv:Creating converter from 5 to 7
DEBUG:tensorflow:Falling back to TensorFlow client; we recommended you install the Cloud TPU client directly with pip install cloud-tpu-client.
DEBUG:h5py._conv:Creating converter from 7 to 5
DEBUG:h5py._conv:Creating converter from 5 to 7
DEBUG:h5py._conv:Creating converter from 7 to 5
DEBUG:h5py._conv:Creating converter from 5 to 7
DEBUG:tensorflow:Falling back to TensorFlow client; we recommended you install the Cloud TPU client directly with pip install cloud-tpu-client.
DEBUG:h5py._conv:Creating converter from 7 to 5
DEBUG:h5py._conv:Creating converter from 5 to 7
DEBUG:h5py._conv:Creating converter from 7 to 5
DEBUG:h5py._conv:Creating converter from 5 to 7
DEBUG:tensorflow:Falling back to TensorFlow client; we recommended you install the Cloud TPU client directly with pip install cloud-tpu-client.
DEBUG:tensorflow:Falling back to TensorFlow client; we recommended you install the Cloud TPU client directly with pip install cloud-tpu-client.
DEBUG:tensorflow:Falling back to TensorFlow client; we recommended you install the Cloud TPU client directly with pip install cloud-tpu-client.
INFO:root:正在从数据库读取原始数据
DEBUG:tensorflow:Falling back to TensorFlow client; we recommended you install the Cloud TPU client directly with pip install cloud-tpu-client.
INFO:root:正在从数据库读取原始数据
DEBUG:tensorflow:Falling back to TensorFlow client; we recommended you install the Cloud TPU client directly with pip install cloud-tpu-client.
INFO:root:正在从数据库读取原始数据
DEBUG:tensorflow:Falling back to TensorFlow client; we recommended you install the Cloud TPU client directly with pip install cloud-tpu-client.
INFO:root:正在统计原始数据的标签类型
DEBUG:tensorflow:Falling back to TensorFlow client; we recommended you install the Cloud TPU client directly with pip install cloud-tpu-client.
INFO:root:正在统计原始数据的标签类型
DEBUG:tensorflow:Falling back to TensorFlow client; we recommended you install the Cloud TPU client directly with pip install cloud-tpu-client.
INFO:root:正在统计原始数据的标签类型
DEBUG:tensorflow:Falling back to TensorFlow client; we recommended you install the Cloud TPU client directly with pip install cloud-tpu-client.
INFO:root:正在从数据库读取原始数据
DEBUG:tensorflow:Falling back to TensorFlow client; we recommended you install the Cloud TPU client directly with pip install cloud-tpu-client.
INFO:root:正在统计原始数据的标签类型
INFO:root:正在制作词表
INFO:root:正在获取词向量
INFO:root:开始训练基础分类器
INFO:root:初始分类器准确率为0.6
INFO:root:开始第1次重训练
INFO:root:开始第2次重训练
INFO:root:开始第3次重训练
INFO:root:训练完成，测试集准确率为0.7
DEBUG:tensorflow:Falling back to TensorFlow client; we recommended you install the Cloud TPU client directly with pip install cloud-tpu-client.
INFO:root:正在从数据库读取原始数据
INFO:root:正在统计原始数据的标签类型
INFO:root:正在制作词表
INFO:root:正在获取词向量
INFO:root:开始训练基础分类器
INFO:root:初始分类器准确率为0.41346153846153844
INFO:root:开始第1次重训练
INFO:root:开始第2次重训练
INFO:root:训练完成，测试集准确率为0.34615384615384615
DEBUG:tensorflow:Falling back to TensorFlow client; we recommended you install the Cloud TPU client directly with pip install cloud-tpu-client.
INFO:root:正在从数据库读取原始数据
INFO:root:正在统计原始数据的标签类型
INFO:root:正在制作词表
INFO:root:正在获取词向量
INFO:root:开始训练基础分类器
INFO:root:初始分类器准确率为0.41346153846153844
INFO:root:开始第1次重训练
INFO:root:开始第2次重训练
INFO:root:训练完成，测试集准确率为0.34615384615384615
DEBUG:tensorflow:Falling back to TensorFlow client; we recommended you install the Cloud TPU client directly with pip install cloud-tpu-client.
INFO:root:正在从数据库读取原始数据
INFO:root:正在统计原始数据的标签类型
INFO:root:正在制作词表
INFO:root:正在获取词向量
INFO:root:开始训练基础分类器
INFO:root:初始分类器准确率为0.41346153846153844
INFO:root:开始第1次重训练
INFO:root:开始第2次重训练
INFO:root:训练完成，测试集准确率为0.34615384615384615
DEBUG:tensorflow:Falling back to TensorFlow client; we recommended you install the Cloud TPU client directly with pip install cloud-tpu-client.
INFO:root:正在从数据库读取原始数据
INFO:root:正在统计原始数据的标签类型
INFO:root:正在制作词表
INFO:root:正在获取词向量
INFO:root:开始训练基础分类器
INFO:root:初始分类器准确率为0.46464646464646464
INFO:root:开始第1次重训练
INFO:root:开始第2次重训练
INFO:root:开始第3次重训练
INFO:root:开始第4次重训练
INFO:root:开始第5次重训练
INFO:root:开始第6次重训练
INFO:root:开始第7次重训练
INFO:root:开始第8次重训练
INFO:root:开始第9次重训练
INFO:root:训练完成，测试集准确率为0.29292929292929293
DEBUG:tensorflow:Falling back to TensorFlow client; we recommended you install the Cloud TPU client directly with pip install cloud-tpu-client.
INFO:root:正在统计原始数据的标签类型
INFO:root:正在制作词表
INFO:root:正在获取词向量
INFO:root:开始训练基础分类器
INFO:root:初始分类器准确率为0.46464646464646464
INFO:root:开始第1次重训练
INFO:root:开始第2次重训练
INFO:root:开始第3次重训练
INFO:root:开始第4次重训练
INFO:root:开始第5次重训练
INFO:root:开始第6次重训练
INFO:root:开始第7次重训练
INFO:root:开始第8次重训练
INFO:root:开始第9次重训练
INFO:root:训练完成，测试集准确率为0.29292929292929293
DEBUG:tensorflow:Falling back to TensorFlow client; we recommended you install the Cloud TPU client directly with pip install cloud-tpu-client.
INFO:root:正在统计原始数据的标签类型
INFO:root:正在制作词表
INFO:root:正在获取词向量
INFO:root:开始训练基础分类器
INFO:root:初始分类器准确率为0.4748322147651007
INFO:root:开始第1次重训练
INFO:root:开始第2次重训练
INFO:root:开始第3次重训练
INFO:root:开始第4次重训练
INFO:root:开始第5次重训练
INFO:root:开始第6次重训练
INFO:root:开始第7次重训练
INFO:root:开始第8次重训练
INFO:root:开始第9次重训练
INFO:root:开始第10次重训练
INFO:root:开始第11次重训练
INFO:root:开始第12次重训练
INFO:root:开始第13次重训练
INFO:root:开始第14次重训练
INFO:root:开始第15次重训练
INFO:root:开始第16次重训练
INFO:root:开始第17次重训练
INFO:root:训练完成，测试集准确率为0.4429530201342282
DEBUG:tensorflow:Falling back to TensorFlow client; we recommended you install the Cloud TPU client directly with pip install cloud-tpu-client.
INFO:root:正在统计原始数据的标签类型
INFO:root:正在制作词表
INFO:root:正在获取词向量
INFO:root:开始训练基础分类器
INFO:root:初始分类器准确率为0.508833922261484
INFO:root:开始第1次重训练
INFO:root:开始第2次重训练
INFO:root:开始第3次重训练
INFO:root:开始第4次重训练
INFO:root:训练完成，测试集准确率为0.508833922261484
DEBUG:tensorflow:Falling back to TensorFlow client; we recommended you install the Cloud TPU client directly with pip install cloud-tpu-client.
INFO:root:正在从数据库读取原始数据
DEBUG:tensorflow:Falling back to TensorFlow client; we recommended you install the Cloud TPU client directly with pip install cloud-tpu-client.
INFO:root:正在从数据库读取原始数据
09/06/2022 01:21:20 [DEBUG] tpu_cluster_resolver: Falling back to TensorFlow client; we recommended you install the Cloud TPU client directly with pip install cloud-tpu-client.
09/06/2022 01:21:22 [INFO] data_processor: 正在从数据库读取原始数据
09/06/2022 01:29:13 [INFO] data_processor: 正在对原始数据进行数据扩增
09/06/2022 05:32:20 [INFO] data_processor: 正在统计原始数据的标签类型
09/06/2022 05:32:20 [INFO] data_processor: 正在制作词表
09/06/2022 05:32:20 [INFO] data_processor: 正在获取词向量
09/06/2022 05:32:20 [INFO] bilstm_attention: 开始训练模型:决赛自主可控众测web自主可控运维管理系统
09/06/2022 05:32:20 [INFO] bilstm_attention: pytorch 初始化
09/06/2022 05:32:20 [INFO] bilstm_attention: 模型初始化
09/06/2022 05:32:20 [INFO] bilstm_attention: 开始训练基础分类器
09/06/2022 05:32:41 [INFO] bilstm_attention: 初始分类器accuracy为0.5275
09/06/2022 05:32:41 [INFO] bilstm_attention: 初始分类器召回率为0.2619166666666666
09/06/2022 05:32:41 [INFO] bilstm_attention: 初始分类器precision为0.14285416666666667
09/06/2022 05:32:41 [INFO] bilstm_attention: 初始分类器f1_score为0.1802682066489447
09/06/2022 05:32:44 [INFO] bilstm_attention: 开始第1次重训练
09/06/2022 05:33:08 [INFO] bilstm_attention: 开始第2次重训练
09/06/2022 05:33:45 [INFO] bilstm_attention: 开始第3次重训练
09/06/2022 05:34:41 [INFO] bilstm_attention: 开始第4次重训练
09/06/2022 05:35:35 [INFO] bilstm_attention: 开始第5次重训练
09/06/2022 05:37:21 [INFO] bilstm_attention: 训练完成，测试集Accuracy为0.52625
09/06/2022 05:37:21 [INFO] bilstm_attention: 训练完成，测试集召回率为0.2606666666666666
09/06/2022 05:37:21 [INFO] bilstm_attention: 训练完成，测试集Precision为0.13772916666666668
09/06/2022 05:37:21 [INFO] bilstm_attention: 训练完成，测试集f1_score为0.17813833651907454
09/06/2022 05:37:21 [INFO] data_processor: 正在从数据库读取原始数据
09/06/2022 05:42:46 [INFO] data_processor: 正在对原始数据进行数据扩增
09/06/2022 08:59:18 [INFO] data_processor: 正在统计原始数据的标签类型
09/06/2022 08:59:18 [INFO] data_processor: 正在制作词表
09/06/2022 08:59:18 [INFO] data_processor: 正在获取词向量
09/06/2022 08:59:18 [INFO] bilstm_attention: 开始训练模型:航天中认自主可控众包测试练习赛
09/06/2022 08:59:18 [INFO] bilstm_attention: pytorch 初始化
09/06/2022 08:59:18 [INFO] bilstm_attention: 模型初始化
09/06/2022 08:59:18 [INFO] bilstm_attention: 开始训练基础分类器
09/06/2022 08:59:33 [INFO] bilstm_attention: 初始分类器accuracy为0.508833922261484
09/06/2022 08:59:33 [INFO] bilstm_attention: 初始分类器召回率为0.2719521604938271
09/06/2022 08:59:33 [INFO] bilstm_attention: 初始分类器precision为0.1481770833333333
09/06/2022 08:59:33 [INFO] bilstm_attention: 初始分类器f1_score为0.18484307301677788
09/06/2022 08:59:36 [INFO] bilstm_attention: 开始第1次重训练
09/06/2022 09:00:06 [INFO] bilstm_attention: 开始第2次重训练
09/06/2022 09:00:37 [INFO] bilstm_attention: 开始第3次重训练
09/06/2022 09:01:08 [INFO] bilstm_attention: 开始第4次重训练
09/06/2022 09:01:44 [INFO] bilstm_attention: 开始第5次重训练
09/06/2022 09:02:24 [INFO] bilstm_attention: 开始第6次重训练
09/06/2022 09:03:08 [INFO] bilstm_attention: 开始第7次重训练
09/06/2022 09:04:33 [INFO] bilstm_attention: 训练完成，测试集Accuracy为0.508833922261484
09/06/2022 09:04:33 [INFO] bilstm_attention: 训练完成，测试集召回率为0.2717592592592592
09/06/2022 09:04:33 [INFO] bilstm_attention: 训练完成，测试集Precision为0.14042245370370368
09/06/2022 09:04:33 [INFO] bilstm_attention: 训练完成，测试集f1_score为0.18221373733188662
09/06/2022 09:04:33 [INFO] data_processor: 正在从数据库读取原始数据
09/06/2022 09:10:11 [INFO] data_processor: 正在对原始数据进行数据扩增