|
- /home/work/user-job-dir
- INFO:root:Using MoXing-v2.0.0.rc2.4b57a67b-4b57a67b
- INFO:root:Using OBS-Python-SDK-3.20.9.1
- [Modelarts Service Log]2021-11-29 15:32:05,090 - INFO - background upload stdout log to s3://test-data/data/log/job14003020-job-trainjob-3a70-0.log
- [Modelarts Service Log]2021-11-29 15:32:05,100 - INFO - Ascend Driver: Version=21.0.2
- [Modelarts Service Log]2021-11-29 15:32:05,101 - INFO - you are advised to use ASCEND_DEVICE_ID env instead of DEVICE_ID, as the DEVICE_ID env will be discarded in later versions
- [Modelarts Service Log]2021-11-29 15:32:05,101 - INFO - particularly, ${ASCEND_DEVICE_ID} == ${DEVICE_ID}, it's the logical device id
- [Modelarts Service Log]2021-11-29 15:32:05,101 - INFO - Davinci training command
- [Modelarts Service Log]2021-11-29 15:32:05,101 - INFO - ['/usr/bin/python', '/home/work/user-job-dir/code/train.py', '--resume=obs://test-data/outpout2/V0024/model_epoch73_id5_0.8027043269230769.ckpt', '--data_url=s3://test-data/data/4/', '--train_url=s3://test-data/outpout2/V0025/']
- [Modelarts Service Log]2021-11-29 15:32:05,101 - INFO - Wait for Rank table file ready
- [Modelarts Service Log]2021-11-29 15:34:22,274 - INFO - Rank table file (K8S generated) is ready for read
- [Modelarts Service Log]2021-11-29 15:34:22,274 - INFO -
- {
- "status": "completed",
- "group_count": "1",
- "group_list": [
- {
- "group_name": "job-trainjob-3a70",
- "device_count": "8",
- "instance_count": "1",
- "instance_list": [
- {
- "pod_name": "job14003020-job-trainjob-3a70-0",
- "server_id": "192.168.16.144",
- "devices": [
- {
- "device_id": "0",
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- {
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- "device_ip": "192.3.81.61"
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- {
- "device_id": "3",
- "device_ip": "192.4.208.196"
- },
- {
- "device_id": "4",
- "device_ip": "192.1.200.67"
- },
- {
- "device_id": "5",
- "device_ip": "192.2.219.245"
- },
- {
- "device_id": "6",
- "device_ip": "192.3.175.233"
- },
- {
- "device_id": "7",
- "device_ip": "192.4.192.245"
- }
- ]
- }
- ]
- }
- ]
- }
- [Modelarts Service Log]2021-11-29 15:34:22,275 - INFO - Rank table file (C7x)
- [Modelarts Service Log]2021-11-29 15:34:22,275 - INFO -
- {
- "status": "completed",
- "version": "1.0",
- "server_count": "1",
- "server_list": [
- {
- "server_id": "192.168.16.144",
- "device": [
- {
- "device_id": "0",
- "device_ip": "192.1.147.44",
- "rank_id": "0"
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- {
- "device_id": "1",
- "device_ip": "192.2.196.141",
- "rank_id": "1"
- },
- {
- "device_id": "2",
- "device_ip": "192.3.81.61",
- "rank_id": "2"
- },
- {
- "device_id": "3",
- "device_ip": "192.4.208.196",
- "rank_id": "3"
- },
- {
- "device_id": "4",
- "device_ip": "192.1.200.67",
- "rank_id": "4"
- },
- {
- "device_id": "5",
- "device_ip": "192.2.219.245",
- "rank_id": "5"
- },
- {
- "device_id": "6",
- "device_ip": "192.3.175.233",
- "rank_id": "6"
- },
- {
- "device_id": "7",
- "device_ip": "192.4.192.245",
- "rank_id": "7"
- }
- ]
- }
- ]
- }
- [Modelarts Service Log]2021-11-29 15:34:22,275 - INFO - Rank table file (C7x) is generated
- [Modelarts Service Log]2021-11-29 15:34:22,275 - INFO - Current server
- [Modelarts Service Log]2021-11-29 15:34:22,276 - INFO -
- {
- "server_id": "192.168.16.144",
- "device": [
- {
- "device_id": "0",
- "device_ip": "192.1.147.44",
- "rank_id": "0"
- },
- {
- "device_id": "1",
- "device_ip": "192.2.196.141",
- "rank_id": "1"
- },
- {
- "device_id": "2",
- "device_ip": "192.3.81.61",
- "rank_id": "2"
- },
- {
- "device_id": "3",
- "device_ip": "192.4.208.196",
- "rank_id": "3"
- },
- {
- "device_id": "4",
- "device_ip": "192.1.200.67",
- "rank_id": "4"
- },
- {
- "device_id": "5",
- "device_ip": "192.2.219.245",
- "rank_id": "5"
- },
- {
- "device_id": "6",
- "device_ip": "192.3.175.233",
- "rank_id": "6"
- },
- {
- "device_id": "7",
- "device_ip": "192.4.192.245",
- "rank_id": "7"
- }
- ]
- }
- [Modelarts Service Log]2021-11-29 15:34:22,276 - INFO - bootstrap proc-rank-0-device-0
- [Modelarts Service Log]2021-11-29 15:34:22,285 - INFO - proc-rank-0-device-0 (pid: 103)
- [Modelarts Service Log]2021-11-29 15:34:22,293 - INFO - bootstrap proc-rank-1-device-1
- tee: /var/log/batch-task/job14003020/job-trainjob-3a70/job14003020-proc-rank-0-device-0.txt: Permission denied
- [Modelarts Service Log]2021-11-29 15:34:22,304 - INFO - proc-rank-1-device-1 (pid: 105)
- [Modelarts Service Log]2021-11-29 15:34:22,312 - INFO - bootstrap proc-rank-2-device-2
- tee: /var/log/batch-task/job14003020/job-trainjob-3a70/job14003020-proc-rank-1-device-1.txt: Permission denied
- [Modelarts Service Log]2021-11-29 15:34:22,321 - INFO - proc-rank-2-device-2 (pid: 107)
- [Modelarts Service Log]2021-11-29 15:34:22,329 - INFO - bootstrap proc-rank-3-device-3
- tee: /var/log/batch-task/job14003020/job-trainjob-3a70/job14003020-proc-rank-2-device-2.txt: Permission denied
- [Modelarts Service Log]2021-11-29 15:34:22,336 - INFO - proc-rank-3-device-3 (pid: 109)
- [Modelarts Service Log]2021-11-29 15:34:22,344 - INFO - bootstrap proc-rank-4-device-4
- tee: /var/log/batch-task/job14003020/job-trainjob-3a70/job14003020-proc-rank-3-device-3.txt: Permission denied
- [Modelarts Service Log]2021-11-29 15:34:22,350 - INFO - proc-rank-4-device-4 (pid: 111)
- [Modelarts Service Log]2021-11-29 15:34:22,358 - INFO - bootstrap proc-rank-5-device-5
- tee: /var/log/batch-task/job14003020/job-trainjob-3a70/job14003020-proc-rank-4-device-4.txt: Permission denied
- [Modelarts Service Log]2021-11-29 15:34:22,365 - INFO - proc-rank-5-device-5 (pid: 113)
- [Modelarts Service Log]2021-11-29 15:34:22,369 - INFO - bootstrap proc-rank-6-device-6
- tee: /var/log/batch-task/job14003020/job-trainjob-3a70/job14003020-proc-rank-5-device-5.txt: Permission denied
- [Modelarts Service Log]2021-11-29 15:34:22,374 - INFO - proc-rank-6-device-6 (pid: 115)
- [Modelarts Service Log]2021-11-29 15:34:22,381 - INFO - bootstrap proc-rank-7-device-7
- tee: /var/log/batch-task/job14003020/job-trainjob-3a70/job14003020-proc-rank-6-device-6.txt: Permission denied
- [Modelarts Service Log]2021-11-29 15:34:22,390 - INFO - proc-rank-7-device-7 (pid: 117)
- tee: /var/log/batch-task/job14003020/job-trainjob-3a70/job14003020-proc-rank-7-device-7.txt: Permission denied
- np.__versoin__:1.17.5
- np.__versoin__:1.17.5
- np.__versoin__:1.17.5
- np.__versoin__:1.17.5
- np.__versoin__:1.17.5
- np.__versoin__:1.17.5
- np.__versoin__:1.17.5
- np.__versoin__:1.17.5
- mindspore.__version__:1.3.0
- Namespace(data_format='tar.gz', data_url='s3://test-data/data/4/', dataset='ImageNet', local_data_root='/cache/', platform='Ascend', resume='obs://test-data/outpout2/V0024/model_epoch73_id5_0.8027043269230769.ckpt', train_url='s3://test-data/outpout2/V0025/')
- device_id:0
- device_num:8
- mindspore.__version__:1.3.0
- Namespace(data_format='tar.gz', data_url='s3://test-data/data/4/', dataset='ImageNet', local_data_root='/cache/', platform='Ascend', resume='obs://test-data/outpout2/V0024/model_epoch73_id5_0.8027043269230769.ckpt', train_url='s3://test-data/outpout2/V0025/')
- device_id:6
- device_num:8
- mindspore.__version__:1.3.0
- mindspore.__version__:1.3.0
- mindspore.__version__:1.3.0
- mindspore.__version__:1.3.0
- Namespace(data_format='tar.gz', data_url='s3://test-data/data/4/', dataset='ImageNet', local_data_root='/cache/', platform='Ascend', resume='obs://test-data/outpout2/V0024/model_epoch73_id5_0.8027043269230769.ckpt', train_url='s3://test-data/outpout2/V0025/')
- Namespace(data_format='tar.gz', data_url='s3://test-data/data/4/', dataset='ImageNet', local_data_root='/cache/', platform='Ascend', resume='obs://test-data/outpout2/V0024/model_epoch73_id5_0.8027043269230769.ckpt', train_url='s3://test-data/outpout2/V0025/')device_id:7
-
- device_num:8
- Namespace(data_format='tar.gz', data_url='s3://test-data/data/4/', dataset='ImageNet', local_data_root='/cache/', platform='Ascend', resume='obs://test-data/outpout2/V0024/model_epoch73_id5_0.8027043269230769.ckpt', train_url='s3://test-data/outpout2/V0025/')
- device_id:1
- device_num:8
- device_id:5
- device_num:8
- Namespace(data_format='tar.gz', data_url='s3://test-data/data/4/', dataset='ImageNet', local_data_root='/cache/', platform='Ascend', resume='obs://test-data/outpout2/V0024/model_epoch73_id5_0.8027043269230769.ckpt', train_url='s3://test-data/outpout2/V0025/')
- device_id:4
- device_num:8
- mindspore.__version__:1.3.0
- mindspore.__version__:1.3.0
- Namespace(data_format='tar.gz', data_url='s3://test-data/data/4/', dataset='ImageNet', local_data_root='/cache/', platform='Ascend', resume='obs://test-data/outpout2/V0024/model_epoch73_id5_0.8027043269230769.ckpt', train_url='s3://test-data/outpout2/V0025/')
- device_id:3
- device_num:8
- Namespace(data_format='tar.gz', data_url='s3://test-data/data/4/', dataset='ImageNet', local_data_root='/cache/', platform='Ascend', resume='obs://test-data/outpout2/V0024/model_epoch73_id5_0.8027043269230769.ckpt', train_url='s3://test-data/outpout2/V0025/')
- device_id:2
- device_num:8
- [WARNING] ME(103:281473373821520,MainProcess):2021-11-29-15:34:29.489.546 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(103:281473373821520,MainProcess):2021-11-29-15:34:29.493.201 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(103:281473373821520,MainProcess):2021-11-29-15:34:29.525.607 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(103:281473373821520,MainProcess):2021-11-29-15:34:29.529.011 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(103:281473373821520,MainProcess):2021-11-29-15:34:29.562.989 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(103:281473373821520,MainProcess):2021-11-29-15:34:29.566.843 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(109:281473565436496,MainProcess):2021-11-29-15:34:29.599.552 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(103:281473373821520,MainProcess):2021-11-29-15:34:29.601.009 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(109:281473565436496,MainProcess):2021-11-29-15:34:29.602.963 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(103:281473373821520,MainProcess):2021-11-29-15:34:29.605.844 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(109:281473565436496,MainProcess):2021-11-29-15:34:29.634.773 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(109:281473565436496,MainProcess):2021-11-29-15:34:29.638.242 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(103:281473373821520,MainProcess):2021-11-29-15:34:29.640.630 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(105:281473561246288,MainProcess):2021-11-29-15:34:29.641.049 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(103:281473373821520,MainProcess):2021-11-29-15:34:29.644.181 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(105:281473561246288,MainProcess):2021-11-29-15:34:29.644.539 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(109:281473565436496,MainProcess):2021-11-29-15:34:29.674.647 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(103:281473373821520,MainProcess):2021-11-29-15:34:29.677.263 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(105:281473561246288,MainProcess):2021-11-29-15:34:29.677.763 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(109:281473565436496,MainProcess):2021-11-29-15:34:29.678.344 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(103:281473373821520,MainProcess):2021-11-29-15:34:29.680.719 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(105:281473561246288,MainProcess):2021-11-29-15:34:29.681.460 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(109:281473565436496,MainProcess):2021-11-29-15:34:29.711.794 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(105:281473561246288,MainProcess):2021-11-29-15:34:29.713.818 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(103:281473373821520,MainProcess):2021-11-29-15:34:29.714.847 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(109:281473565436496,MainProcess):2021-11-29-15:34:29.715.313 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(105:281473561246288,MainProcess):2021-11-29-15:34:29.717.395 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(103:281473373821520,MainProcess):2021-11-29-15:34:29.718.764 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(115:281472900921936,MainProcess):2021-11-29-15:34:29.720.069 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(115:281472900921936,MainProcess):2021-11-29-15:34:29.723.940 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(107:281472848230992,MainProcess):2021-11-29-15:34:29.728.410 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(107:281472848230992,MainProcess):2021-11-29-15:34:29.732.035 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(109:281473565436496,MainProcess):2021-11-29-15:34:29.748.383 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(105:281473561246288,MainProcess):2021-11-29-15:34:29.750.504 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(109:281473565436496,MainProcess):2021-11-29-15:34:29.751.914 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(105:281473561246288,MainProcess):2021-11-29-15:34:29.754.035 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(115:281472900921936,MainProcess):2021-11-29-15:34:29.756.958 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(103:281473373821520,MainProcess):2021-11-29-15:34:29.757.967 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(115:281472900921936,MainProcess):2021-11-29-15:34:29.760.569 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(103:281473373821520,MainProcess):2021-11-29-15:34:29.761.831 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(111:281473237838416,MainProcess):2021-11-29-15:34:29.761.905 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(107:281472848230992,MainProcess):2021-11-29-15:34:29.764.675 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(111:281473237838416,MainProcess):2021-11-29-15:34:29.765.345 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(107:281472848230992,MainProcess):2021-11-29-15:34:29.768.636 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(113:281473770097232,MainProcess):2021-11-29-15:34:29.782.829 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(109:281473565436496,MainProcess):2021-11-29-15:34:29.785.225 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(105:281473561246288,MainProcess):2021-11-29-15:34:29.786.008 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(117:281473861122640,MainProcess):2021-11-29-15:34:29.786.627 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(113:281473770097232,MainProcess):2021-11-29-15:34:29.787.390 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(109:281473565436496,MainProcess):2021-11-29-15:34:29.788.802 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(105:281473561246288,MainProcess):2021-11-29-15:34:29.789.694 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(117:281473861122640,MainProcess):2021-11-29-15:34:29.790.050 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(115:281472900921936,MainProcess):2021-11-29-15:34:29.794.159 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(115:281472900921936,MainProcess):2021-11-29-15:34:29.797.915 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(111:281473237838416,MainProcess):2021-11-29-15:34:29.801.412 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(107:281472848230992,MainProcess):2021-11-29-15:34:29.803.045 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(111:281473237838416,MainProcess):2021-11-29-15:34:29.805.182 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(107:281472848230992,MainProcess):2021-11-29-15:34:29.806.919 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(113:281473770097232,MainProcess):2021-11-29-15:34:29.819.043 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(117:281473861122640,MainProcess):2021-11-29-15:34:29.822.508 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(105:281473561246288,MainProcess):2021-11-29-15:34:29.822.513 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(113:281473770097232,MainProcess):2021-11-29-15:34:29.822.773 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(109:281473565436496,MainProcess):2021-11-29-15:34:29.823.196 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(117:281473861122640,MainProcess):2021-11-29-15:34:29.826.172 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(105:281473561246288,MainProcess):2021-11-29-15:34:29.826.215 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(109:281473565436496,MainProcess):2021-11-29-15:34:29.826.959 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(115:281472900921936,MainProcess):2021-11-29-15:34:29.831.721 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(115:281472900921936,MainProcess):2021-11-29-15:34:29.835.488 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(111:281473237838416,MainProcess):2021-11-29-15:34:29.838.419 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(111:281473237838416,MainProcess):2021-11-29-15:34:29.842.002 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(107:281472848230992,MainProcess):2021-11-29-15:34:29.852.022 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(113:281473770097232,MainProcess):2021-11-29-15:34:29.854.919 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(107:281472848230992,MainProcess):2021-11-29-15:34:29.856.809 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(113:281473770097232,MainProcess):2021-11-29-15:34:29.858.421 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(117:281473861122640,MainProcess):2021-11-29-15:34:29.858.843 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(105:281473561246288,MainProcess):2021-11-29-15:34:29.859.906 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(117:281473861122640,MainProcess):2021-11-29-15:34:29.862.434 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(105:281473561246288,MainProcess):2021-11-29-15:34:29.863.676 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(109:281473565436496,MainProcess):2021-11-29-15:34:29.865.307 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(115:281472900921936,MainProcess):2021-11-29-15:34:29.869.124 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(109:281473565436496,MainProcess):2021-11-29-15:34:29.869.322 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(115:281472900921936,MainProcess):2021-11-29-15:34:29.873.084 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(111:281473237838416,MainProcess):2021-11-29-15:34:29.875.075 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(111:281473237838416,MainProcess):2021-11-29-15:34:29.878.599 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(113:281473770097232,MainProcess):2021-11-29-15:34:29.890.970 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(113:281473770097232,MainProcess):2021-11-29-15:34:29.894.557 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(107:281472848230992,MainProcess):2021-11-29-15:34:29.895.030 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(117:281473861122640,MainProcess):2021-11-29-15:34:29.897.748 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(107:281472848230992,MainProcess):2021-11-29-15:34:29.899.092 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(105:281473561246288,MainProcess):2021-11-29-15:34:29.901.307 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(117:281473861122640,MainProcess):2021-11-29-15:34:29.901.433 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(105:281473561246288,MainProcess):2021-11-29-15:34:29.905.278 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(115:281472900921936,MainProcess):2021-11-29-15:34:29.908.944 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(111:281473237838416,MainProcess):2021-11-29-15:34:29.911.526 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(115:281472900921936,MainProcess):2021-11-29-15:34:29.912.689 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(111:281473237838416,MainProcess):2021-11-29-15:34:29.915.173 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(113:281473770097232,MainProcess):2021-11-29-15:34:29.927.399 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(113:281473770097232,MainProcess):2021-11-29-15:34:29.931.063 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(117:281473861122640,MainProcess):2021-11-29-15:34:29.935.541 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(107:281472848230992,MainProcess):2021-11-29-15:34:29.935.644 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(117:281473861122640,MainProcess):2021-11-29-15:34:29.939.188 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(107:281472848230992,MainProcess):2021-11-29-15:34:29.939.746 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(115:281472900921936,MainProcess):2021-11-29-15:34:29.948.487 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(111:281473237838416,MainProcess):2021-11-29-15:34:29.949.028 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(111:281473237838416,MainProcess):2021-11-29-15:34:29.952.565 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(115:281472900921936,MainProcess):2021-11-29-15:34:29.952.565 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(113:281473770097232,MainProcess):2021-11-29-15:34:29.963.032 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(113:281473770097232,MainProcess):2021-11-29-15:34:29.966.527 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(117:281473861122640,MainProcess):2021-11-29-15:34:29.971.626 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(117:281473861122640,MainProcess):2021-11-29-15:34:29.975.060 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(107:281472848230992,MainProcess):2021-11-29-15:34:29.977.545 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(107:281472848230992,MainProcess):2021-11-29-15:34:29.981.963 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(111:281473237838416,MainProcess):2021-11-29-15:34:29.986.397 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(109:281473565436496,MainProcess):2021-11-29-15:34:29.987.996 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(111:281473237838416,MainProcess):2021-11-29-15:34:29.990.223 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(109:281473565436496,MainProcess):2021-11-29-15:34:29.991.972 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(115:281472900921936,MainProcess):2021-11-29-15:34:29.992.561 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(115:281472900921936,MainProcess):2021-11-29-15:34:29.997.289 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(113:281473770097232,MainProcess):2021-11-29-15:34:29.999.738 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(113:281473770097232,MainProcess):2021-11-29-15:34:30.335.2 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(117:281473861122640,MainProcess):2021-11-29-15:34:30.875.3 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(117:281473861122640,MainProcess):2021-11-29-15:34:30.122.97 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(107:281472848230992,MainProcess):2021-11-29-15:34:30.227.67 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(107:281472848230992,MainProcess):2021-11-29-15:34:30.271.28 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(109:281473565436496,MainProcess):2021-11-29-15:34:30.285.76 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(111:281473237838416,MainProcess):2021-11-29-15:34:30.289.57 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(109:281473565436496,MainProcess):2021-11-29-15:34:30.325.21 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(111:281473237838416,MainProcess):2021-11-29-15:34:30.329.27 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(105:281473561246288,MainProcess):2021-11-29-15:34:30.363.22 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(105:281473561246288,MainProcess):2021-11-29-15:34:30.404.10 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(113:281473770097232,MainProcess):2021-11-29-15:34:30.406.39 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(113:281473770097232,MainProcess):2021-11-29-15:34:30.444.26 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(117:281473861122640,MainProcess):2021-11-29-15:34:30.501.01 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(117:281473861122640,MainProcess):2021-11-29-15:34:30.539.83 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(109:281473565436496,MainProcess):2021-11-29-15:34:30.692.47 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(109:281473565436496,MainProcess):2021-11-29-15:34:30.731.19 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(105:281473561246288,MainProcess):2021-11-29-15:34:30.782.54 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(105:281473561246288,MainProcess):2021-11-29-15:34:30.824.33 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(109:281473565436496,MainProcess):2021-11-29-15:34:30.110.141 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(109:281473565436496,MainProcess):2021-11-29-15:34:30.114.143 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(105:281473561246288,MainProcess):2021-11-29-15:34:30.120.744 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(105:281473561246288,MainProcess):2021-11-29-15:34:30.124.807 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(103:281473373821520,MainProcess):2021-11-29-15:34:30.132.901 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(103:281473373821520,MainProcess):2021-11-29-15:34:30.137.089 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(109:281473565436496,MainProcess):2021-11-29-15:34:30.150.842 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(111:281473237838416,MainProcess):2021-11-29-15:34:30.153.510 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(109:281473565436496,MainProcess):2021-11-29-15:34:30.154.747 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(111:281473237838416,MainProcess):2021-11-29-15:34:30.157.286 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(105:281473561246288,MainProcess):2021-11-29-15:34:30.163.088 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(105:281473561246288,MainProcess):2021-11-29-15:34:30.167.277 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(103:281473373821520,MainProcess):2021-11-29-15:34:30.175.354 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(103:281473373821520,MainProcess):2021-11-29-15:34:30.179.572 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(117:281473861122640,MainProcess):2021-11-29-15:34:30.182.591 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(117:281473861122640,MainProcess):2021-11-29-15:34:30.186.371 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(109:281473565436496,MainProcess):2021-11-29-15:34:30.191.987 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(111:281473237838416,MainProcess):2021-11-29-15:34:30.194.335 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(109:281473565436496,MainProcess):2021-11-29-15:34:30.195.976 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(111:281473237838416,MainProcess):2021-11-29-15:34:30.198.131 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(105:281473561246288,MainProcess):2021-11-29-15:34:30.205.851 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(105:281473561246288,MainProcess):2021-11-29-15:34:30.210.048 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(103:281473373821520,MainProcess):2021-11-29-15:34:30.217.616 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(103:281473373821520,MainProcess):2021-11-29-15:34:30.221.668 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(117:281473861122640,MainProcess):2021-11-29-15:34:30.221.994 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(117:281473861122640,MainProcess):2021-11-29-15:34:30.225.773 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(109:281473565436496,MainProcess):2021-11-29-15:34:30.233.013 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(111:281473237838416,MainProcess):2021-11-29-15:34:30.234.909 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(109:281473565436496,MainProcess):2021-11-29-15:34:30.236.948 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(111:281473237838416,MainProcess):2021-11-29-15:34:30.238.917 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(105:281473561246288,MainProcess):2021-11-29-15:34:30.248.959 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(105:281473561246288,MainProcess):2021-11-29-15:34:30.253.415 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(103:281473373821520,MainProcess):2021-11-29-15:34:30.260.525 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(117:281473861122640,MainProcess):2021-11-29-15:34:30.262.113 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(103:281473373821520,MainProcess):2021-11-29-15:34:30.264.537 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(117:281473861122640,MainProcess):2021-11-29-15:34:30.265.827 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(109:281473565436496,MainProcess):2021-11-29-15:34:30.273.476 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(111:281473237838416,MainProcess):2021-11-29-15:34:30.274.962 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(109:281473565436496,MainProcess):2021-11-29-15:34:30.277.235 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(111:281473237838416,MainProcess):2021-11-29-15:34:30.278.775 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(105:281473561246288,MainProcess):2021-11-29-15:34:30.292.342 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(105:281473561246288,MainProcess):2021-11-29-15:34:30.296.574 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(117:281473861122640,MainProcess):2021-11-29-15:34:30.301.840 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(103:281473373821520,MainProcess):2021-11-29-15:34:30.302.287 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(117:281473861122640,MainProcess):2021-11-29-15:34:30.305.523 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(103:281473373821520,MainProcess):2021-11-29-15:34:30.306.316 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(111:281473237838416,MainProcess):2021-11-29-15:34:30.315.001 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(111:281473237838416,MainProcess):2021-11-29-15:34:30.318.961 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(107:281472848230992,MainProcess):2021-11-29-15:34:30.319.695 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(109:281473565436496,MainProcess):2021-11-29-15:34:30.323.734 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(107:281472848230992,MainProcess):2021-11-29-15:34:30.324.201 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(109:281473565436496,MainProcess):2021-11-29-15:34:30.328.817 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(115:281472900921936,MainProcess):2021-11-29-15:34:30.334.347 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(105:281473561246288,MainProcess):2021-11-29-15:34:30.334.808 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(105:281473561246288,MainProcess):2021-11-29-15:34:30.338.855 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(115:281472900921936,MainProcess):2021-11-29-15:34:30.339.216 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(117:281473861122640,MainProcess):2021-11-29-15:34:30.341.482 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(103:281473373821520,MainProcess):2021-11-29-15:34:30.344.116 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(117:281473861122640,MainProcess):2021-11-29-15:34:30.345.252 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(103:281473373821520,MainProcess):2021-11-29-15:34:30.348.060 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(111:281473237838416,MainProcess):2021-11-29-15:34:30.354.921 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(111:281473237838416,MainProcess):2021-11-29-15:34:30.358.713 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(107:281472848230992,MainProcess):2021-11-29-15:34:30.361.259 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(107:281472848230992,MainProcess):2021-11-29-15:34:30.365.239 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(115:281472900921936,MainProcess):2021-11-29-15:34:30.376.743 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(117:281473861122640,MainProcess):2021-11-29-15:34:30.380.551 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(115:281472900921936,MainProcess):2021-11-29-15:34:30.380.866 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(109:281473565436496,MainProcess):2021-11-29-15:34:30.382.455 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(117:281473861122640,MainProcess):2021-11-29-15:34:30.384.665 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(105:281473561246288,MainProcess):2021-11-29-15:34:30.386.255 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(103:281473373821520,MainProcess):2021-11-29-15:34:30.386.412 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(109:281473565436496,MainProcess):2021-11-29-15:34:30.387.712 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(103:281473373821520,MainProcess):2021-11-29-15:34:30.393.037 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(105:281473561246288,MainProcess):2021-11-29-15:34:30.394.245 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(111:281473237838416,MainProcess):2021-11-29-15:34:30.395.529 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(111:281473237838416,MainProcess):2021-11-29-15:34:30.399.751 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(107:281472848230992,MainProcess):2021-11-29-15:34:30.403.060 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(107:281472848230992,MainProcess):2021-11-29-15:34:30.407.050 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(113:281473770097232,MainProcess):2021-11-29-15:34:30.424.259 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(113:281473770097232,MainProcess):2021-11-29-15:34:30.428.086 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(117:281473861122640,MainProcess):2021-11-29-15:34:30.429.316 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(103:281473373821520,MainProcess):2021-11-29-15:34:30.429.937 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(115:281472900921936,MainProcess):2021-11-29-15:34:30.429.960 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(117:281473861122640,MainProcess):2021-11-29-15:34:30.433.304 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(103:281473373821520,MainProcess):2021-11-29-15:34:30.433.760 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(115:281472900921936,MainProcess):2021-11-29-15:34:30.434.762 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(111:281473237838416,MainProcess):2021-11-29-15:34:30.438.288 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(109:281473565436496,MainProcess):2021-11-29-15:34:30.440.727 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(111:281473237838416,MainProcess):2021-11-29-15:34:30.442.203 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(107:281472848230992,MainProcess):2021-11-29-15:34:30.444.826 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(109:281473565436496,MainProcess):2021-11-29-15:34:30.445.930 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(107:281472848230992,MainProcess):2021-11-29-15:34:30.448.828 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(105:281473561246288,MainProcess):2021-11-29-15:34:30.449.345 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(105:281473561246288,MainProcess):2021-11-29-15:34:30.456.259 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(113:281473770097232,MainProcess):2021-11-29-15:34:30.464.242 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(113:281473770097232,MainProcess):2021-11-29-15:34:30.467.975 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(117:281473861122640,MainProcess):2021-11-29-15:34:30.470.331 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(115:281472900921936,MainProcess):2021-11-29-15:34:30.471.402 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(117:281473861122640,MainProcess):2021-11-29-15:34:30.474.194 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(115:281472900921936,MainProcess):2021-11-29-15:34:30.475.218 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(103:281473373821520,MainProcess):2021-11-29-15:34:30.481.161 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(103:281473373821520,MainProcess):2021-11-29-15:34:30.486.273 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(111:281473237838416,MainProcess):2021-11-29-15:34:30.490.197 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(111:281473237838416,MainProcess):2021-11-29-15:34:30.495.469 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(107:281472848230992,MainProcess):2021-11-29-15:34:30.496.087 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(109:281473565436496,MainProcess):2021-11-29-15:34:30.499.972 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(113:281473770097232,MainProcess):2021-11-29-15:34:30.504.167 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(109:281473565436496,MainProcess):2021-11-29-15:34:30.505.016 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(107:281472848230992,MainProcess):2021-11-29-15:34:30.505.630 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(113:281473770097232,MainProcess):2021-11-29-15:34:30.507.948 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(105:281473561246288,MainProcess):2021-11-29-15:34:30.510.662 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(115:281472900921936,MainProcess):2021-11-29-15:34:30.511.918 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(115:281472900921936,MainProcess):2021-11-29-15:34:30.515.817 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(105:281473561246288,MainProcess):2021-11-29-15:34:30.515.911 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(117:281473861122640,MainProcess):2021-11-29-15:34:30.521.950 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(117:281473861122640,MainProcess):2021-11-29-15:34:30.527.081 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(113:281473770097232,MainProcess):2021-11-29-15:34:30.543.925 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(107:281472848230992,MainProcess):2021-11-29-15:34:30.545.150 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(113:281473770097232,MainProcess):2021-11-29-15:34:30.547.683 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(107:281472848230992,MainProcess):2021-11-29-15:34:30.548.918 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(111:281473237838416,MainProcess):2021-11-29-15:34:30.549.264 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(115:281472900921936,MainProcess):2021-11-29-15:34:30.552.497 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(111:281473237838416,MainProcess):2021-11-29-15:34:30.554.806 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(115:281472900921936,MainProcess):2021-11-29-15:34:30.556.374 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(109:281473565436496,MainProcess):2021-11-29-15:34:30.557.056 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(103:281473373821520,MainProcess):2021-11-29-15:34:30.557.244 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(109:281473565436496,MainProcess):2021-11-29-15:34:30.562.059 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(103:281473373821520,MainProcess):2021-11-29-15:34:30.563.586 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(105:281473561246288,MainProcess):2021-11-29-15:34:30.571.231 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(105:281473561246288,MainProcess):2021-11-29-15:34:30.576.259 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(117:281473861122640,MainProcess):2021-11-29-15:34:30.581.062 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(113:281473770097232,MainProcess):2021-11-29-15:34:30.585.519 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(117:281473861122640,MainProcess):2021-11-29-15:34:30.586.156 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(107:281472848230992,MainProcess):2021-11-29-15:34:30.586.812 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(113:281473770097232,MainProcess):2021-11-29-15:34:30.589.258 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(107:281472848230992,MainProcess):2021-11-29-15:34:30.590.709 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(115:281472900921936,MainProcess):2021-11-29-15:34:30.593.388 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(115:281472900921936,MainProcess):2021-11-29-15:34:30.597.151 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(111:281473237838416,MainProcess):2021-11-29-15:34:30.608.356 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(111:281473237838416,MainProcess):2021-11-29-15:34:30.613.421 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(109:281473565436496,MainProcess):2021-11-29-15:34:30.616.026 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(103:281473373821520,MainProcess):2021-11-29-15:34:30.619.125 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(109:281473565436496,MainProcess):2021-11-29-15:34:30.621.238 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(103:281473373821520,MainProcess):2021-11-29-15:34:30.624.252 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(113:281473770097232,MainProcess):2021-11-29-15:34:30.625.098 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(107:281472848230992,MainProcess):2021-11-29-15:34:30.627.921 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(105:281473561246288,MainProcess):2021-11-29-15:34:30.628.651 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(113:281473770097232,MainProcess):2021-11-29-15:34:30.628.865 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(107:281472848230992,MainProcess):2021-11-29-15:34:30.631.851 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(105:281473561246288,MainProcess):2021-11-29-15:34:30.634.056 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(115:281472900921936,MainProcess):2021-11-29-15:34:30.636.127 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(117:281473861122640,MainProcess):2021-11-29-15:34:30.640.105 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(115:281472900921936,MainProcess):2021-11-29-15:34:30.640.471 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(117:281473861122640,MainProcess):2021-11-29-15:34:30.645.315 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(113:281473770097232,MainProcess):2021-11-29-15:34:30.665.151 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(111:281473237838416,MainProcess):2021-11-29-15:34:30.667.635 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(113:281473770097232,MainProcess):2021-11-29-15:34:30.668.862 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(111:281473237838416,MainProcess):2021-11-29-15:34:30.672.597 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(109:281473565436496,MainProcess):2021-11-29-15:34:30.676.207 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(103:281473373821520,MainProcess):2021-11-29-15:34:30.678.297 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(107:281472848230992,MainProcess):2021-11-29-15:34:30.678.901 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(109:281473565436496,MainProcess):2021-11-29-15:34:30.681.415 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(103:281473373821520,MainProcess):2021-11-29-15:34:30.683.194 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(107:281472848230992,MainProcess):2021-11-29-15:34:30.683.944 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(105:281473561246288,MainProcess):2021-11-29-15:34:30.688.344 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(115:281472900921936,MainProcess):2021-11-29-15:34:30.688.723 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(105:281473561246288,MainProcess):2021-11-29-15:34:30.693.267 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(115:281472900921936,MainProcess):2021-11-29-15:34:30.693.885 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(117:281473861122640,MainProcess):2021-11-29-15:34:30.699.033 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(117:281473861122640,MainProcess):2021-11-29-15:34:30.703.946 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(113:281473770097232,MainProcess):2021-11-29-15:34:30.704.822 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(113:281473770097232,MainProcess):2021-11-29-15:34:30.708.636 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(111:281473237838416,MainProcess):2021-11-29-15:34:30.722.500 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(111:281473237838416,MainProcess):2021-11-29-15:34:30.727.420 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(103:281473373821520,MainProcess):2021-11-29-15:34:30.733.495 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(109:281473565436496,MainProcess):2021-11-29-15:34:30.735.333 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(107:281472848230992,MainProcess):2021-11-29-15:34:30.738.108 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(103:281473373821520,MainProcess):2021-11-29-15:34:30.738.398 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(109:281473565436496,MainProcess):2021-11-29-15:34:30.740.410 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(107:281472848230992,MainProcess):2021-11-29-15:34:30.743.314 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(105:281473561246288,MainProcess):2021-11-29-15:34:30.746.730 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(115:281472900921936,MainProcess):2021-11-29-15:34:30.748.442 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(105:281473561246288,MainProcess):2021-11-29-15:34:30.751.891 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(115:281472900921936,MainProcess):2021-11-29-15:34:30.753.748 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(117:281473861122640,MainProcess):2021-11-29-15:34:30.754.401 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(113:281473770097232,MainProcess):2021-11-29-15:34:30.755.219 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(117:281473861122640,MainProcess):2021-11-29-15:34:30.759.398 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(113:281473770097232,MainProcess):2021-11-29-15:34:30.760.273 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(111:281473237838416,MainProcess):2021-11-29-15:34:30.780.593 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(111:281473237838416,MainProcess):2021-11-29-15:34:30.785.748 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(103:281473373821520,MainProcess):2021-11-29-15:34:30.793.296 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(109:281473565436496,MainProcess):2021-11-29-15:34:30.795.214 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(107:281472848230992,MainProcess):2021-11-29-15:34:30.797.504 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(103:281473373821520,MainProcess):2021-11-29-15:34:30.798.382 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(109:281473565436496,MainProcess):2021-11-29-15:34:30.800.359 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(107:281472848230992,MainProcess):2021-11-29-15:34:30.802.498 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(105:281473561246288,MainProcess):2021-11-29-15:34:30.805.241 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(115:281472900921936,MainProcess):2021-11-29-15:34:30.809.120 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(105:281473561246288,MainProcess):2021-11-29-15:34:30.810.271 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(117:281473861122640,MainProcess):2021-11-29-15:34:30.812.424 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(115:281472900921936,MainProcess):2021-11-29-15:34:30.814.446 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(113:281473770097232,MainProcess):2021-11-29-15:34:30.814.697 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(117:281473861122640,MainProcess):2021-11-29-15:34:30.817.597 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(113:281473770097232,MainProcess):2021-11-29-15:34:30.819.925 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(111:281473237838416,MainProcess):2021-11-29-15:34:30.839.167 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(111:281473237838416,MainProcess):2021-11-29-15:34:30.844.490 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(103:281473373821520,MainProcess):2021-11-29-15:34:30.854.290 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(109:281473565436496,MainProcess):2021-11-29-15:34:30.854.720 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(107:281472848230992,MainProcess):2021-11-29-15:34:30.857.059 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(103:281473373821520,MainProcess):2021-11-29-15:34:30.859.454 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(109:281473565436496,MainProcess):2021-11-29-15:34:30.859.914 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(107:281472848230992,MainProcess):2021-11-29-15:34:30.861.918 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(105:281473561246288,MainProcess):2021-11-29-15:34:30.863.759 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(105:281473561246288,MainProcess):2021-11-29-15:34:30.868.794 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(115:281472900921936,MainProcess):2021-11-29-15:34:30.870.316 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(117:281473861122640,MainProcess):2021-11-29-15:34:30.872.146 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(113:281473770097232,MainProcess):2021-11-29-15:34:30.873.933 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(115:281472900921936,MainProcess):2021-11-29-15:34:30.875.420 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(117:281473861122640,MainProcess):2021-11-29-15:34:30.877.219 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(113:281473770097232,MainProcess):2021-11-29-15:34:30.879.023 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(111:281473237838416,MainProcess):2021-11-29-15:34:30.897.613 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(111:281473237838416,MainProcess):2021-11-29-15:34:30.902.809 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(107:281472848230992,MainProcess):2021-11-29-15:34:30.913.238 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(103:281473373821520,MainProcess):2021-11-29-15:34:30.913.582 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(109:281473565436496,MainProcess):2021-11-29-15:34:30.913.949 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(107:281472848230992,MainProcess):2021-11-29-15:34:30.918.199 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(103:281473373821520,MainProcess):2021-11-29-15:34:30.918.756 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(109:281473565436496,MainProcess):2021-11-29-15:34:30.919.154 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(105:281473561246288,MainProcess):2021-11-29-15:34:30.922.042 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(115:281472900921936,MainProcess):2021-11-29-15:34:30.926.829 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(105:281473561246288,MainProcess):2021-11-29-15:34:30.927.150 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(117:281473861122640,MainProcess):2021-11-29-15:34:30.931.850 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(115:281472900921936,MainProcess):2021-11-29-15:34:30.932.100 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(113:281473770097232,MainProcess):2021-11-29-15:34:30.933.015 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(117:281473861122640,MainProcess):2021-11-29-15:34:30.936.979 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(113:281473770097232,MainProcess):2021-11-29-15:34:30.937.977 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(111:281473237838416,MainProcess):2021-11-29-15:34:30.956.192 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(111:281473237838416,MainProcess):2021-11-29-15:34:30.961.177 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(107:281472848230992,MainProcess):2021-11-29-15:34:30.972.590 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(109:281473565436496,MainProcess):2021-11-29-15:34:30.973.659 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(103:281473373821520,MainProcess):2021-11-29-15:34:30.973.877 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(107:281472848230992,MainProcess):2021-11-29-15:34:30.977.931 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(109:281473565436496,MainProcess):2021-11-29-15:34:30.978.739 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(103:281473373821520,MainProcess):2021-11-29-15:34:30.978.930 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(105:281473561246288,MainProcess):2021-11-29-15:34:30.980.901 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(105:281473561246288,MainProcess):2021-11-29-15:34:30.985.891 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(115:281472900921936,MainProcess):2021-11-29-15:34:30.987.460 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(113:281473770097232,MainProcess):2021-11-29-15:34:30.988.978 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(115:281472900921936,MainProcess):2021-11-29-15:34:30.992.910 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(113:281473770097232,MainProcess):2021-11-29-15:34:30.993.962 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(117:281473861122640,MainProcess):2021-11-29-15:34:31.961.0 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(111:281473237838416,MainProcess):2021-11-29-15:34:31.157.03 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(117:281473861122640,MainProcess):2021-11-29-15:34:31.159.70 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(111:281473237838416,MainProcess):2021-11-29-15:34:31.212.08 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(109:281473565436496,MainProcess):2021-11-29-15:34:31.326.36 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(107:281472848230992,MainProcess):2021-11-29-15:34:31.328.37 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(103:281473373821520,MainProcess):2021-11-29-15:34:31.330.88 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(109:281473565436496,MainProcess):2021-11-29-15:34:31.379.00 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(107:281472848230992,MainProcess):2021-11-29-15:34:31.380.51 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(103:281473373821520,MainProcess):2021-11-29-15:34:31.382.64 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(105:281473561246288,MainProcess):2021-11-29-15:34:31.397.87 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(105:281473561246288,MainProcess):2021-11-29-15:34:31.456.67 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(113:281473770097232,MainProcess):2021-11-29-15:34:31.488.00 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(115:281472900921936,MainProcess):2021-11-29-15:34:31.489.55 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(113:281473770097232,MainProcess):2021-11-29-15:34:31.540.24 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(115:281472900921936,MainProcess):2021-11-29-15:34:31.543.65 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(117:281473861122640,MainProcess):2021-11-29-15:34:31.722.18 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(111:281473237838416,MainProcess):2021-11-29-15:34:31.751.86 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(117:281473861122640,MainProcess):2021-11-29-15:34:31.774.21 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(111:281473237838416,MainProcess):2021-11-29-15:34:31.807.61 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(109:281473565436496,MainProcess):2021-11-29-15:34:31.917.28 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(103:281473373821520,MainProcess):2021-11-29-15:34:31.926.42 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(107:281472848230992,MainProcess):2021-11-29-15:34:31.933.23 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(109:281473565436496,MainProcess):2021-11-29-15:34:31.968.54 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(103:281473373821520,MainProcess):2021-11-29-15:34:31.978.99 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(107:281472848230992,MainProcess):2021-11-29-15:34:31.986.04 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(105:281473561246288,MainProcess):2021-11-29-15:34:31.996.40 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(105:281473561246288,MainProcess):2021-11-29-15:34:31.104.609 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(113:281473770097232,MainProcess):2021-11-29-15:34:31.109.229 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(115:281472900921936,MainProcess):2021-11-29-15:34:31.110.168 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(113:281473770097232,MainProcess):2021-11-29-15:34:31.114.353 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(115:281472900921936,MainProcess):2021-11-29-15:34:31.115.546 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(117:281473861122640,MainProcess):2021-11-29-15:34:31.132.189 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(111:281473237838416,MainProcess):2021-11-29-15:34:31.134.593 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(117:281473861122640,MainProcess):2021-11-29-15:34:31.137.529 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(111:281473237838416,MainProcess):2021-11-29-15:34:31.139.674 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(107:281472848230992,MainProcess):2021-11-29-15:34:31.153.398 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(103:281473373821520,MainProcess):2021-11-29-15:34:31.153.603 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(105:281473561246288,MainProcess):2021-11-29-15:34:31.157.880 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(107:281472848230992,MainProcess):2021-11-29-15:34:31.158.525 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(103:281473373821520,MainProcess):2021-11-29-15:34:31.158.733 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(105:281473561246288,MainProcess):2021-11-29-15:34:31.162.816 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(113:281473770097232,MainProcess):2021-11-29-15:34:31.169.101 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(115:281472900921936,MainProcess):2021-11-29-15:34:31.170.728 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(113:281473770097232,MainProcess):2021-11-29-15:34:31.174.323 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(115:281472900921936,MainProcess):2021-11-29-15:34:31.176.067 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(117:281473861122640,MainProcess):2021-11-29-15:34:31.192.113 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(111:281473237838416,MainProcess):2021-11-29-15:34:31.192.617 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- trainable_params_count:21423296
- [WARNING] ME(117:281473861122640,MainProcess):2021-11-29-15:34:31.197.284 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(111:281473237838416,MainProcess):2021-11-29-15:34:31.197.875 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(103:281473373821520,MainProcess):2021-11-29-15:34:31.213.468 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(107:281472848230992,MainProcess):2021-11-29-15:34:31.213.871 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(103:281473373821520,MainProcess):2021-11-29-15:34:31.218.639 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(107:281472848230992,MainProcess):2021-11-29-15:34:31.219.180 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(113:281473770097232,MainProcess):2021-11-29-15:34:31.229.467 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(115:281472900921936,MainProcess):2021-11-29-15:34:31.231.639 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(113:281473770097232,MainProcess):2021-11-29-15:34:31.234.580 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(115:281472900921936,MainProcess):2021-11-29-15:34:31.236.948 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(111:281473237838416,MainProcess):2021-11-29-15:34:31.251.814 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(117:281473861122640,MainProcess):2021-11-29-15:34:31.251.814 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(111:281473237838416,MainProcess):2021-11-29-15:34:31.257.045 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(117:281473861122640,MainProcess):2021-11-29-15:34:31.257.100 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- trainable_params_count:21423296
- [WARNING] ME(107:281472848230992,MainProcess):2021-11-29-15:34:31.274.279 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(107:281472848230992,MainProcess):2021-11-29-15:34:31.279.621 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(103:281473373821520,MainProcess):2021-11-29-15:34:31.284.451 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(113:281473770097232,MainProcess):2021-11-29-15:34:31.289.352 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(103:281473373821520,MainProcess):2021-11-29-15:34:31.289.556 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(115:281472900921936,MainProcess):2021-11-29-15:34:31.292.223 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(113:281473770097232,MainProcess):2021-11-29-15:34:31.294.516 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(115:281472900921936,MainProcess):2021-11-29-15:34:31.297.780 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(117:281473861122640,MainProcess):2021-11-29-15:34:31.311.163 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(117:281473861122640,MainProcess):2021-11-29-15:34:31.316.287 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(107:281472848230992,MainProcess):2021-11-29-15:34:31.346.376 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(113:281473770097232,MainProcess):2021-11-29-15:34:31.350.247 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(107:281472848230992,MainProcess):2021-11-29-15:34:31.352.046 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(115:281472900921936,MainProcess):2021-11-29-15:34:31.353.054 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- trainable_params_count:21423296
- [WARNING] ME(113:281473770097232,MainProcess):2021-11-29-15:34:31.355.519 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(115:281472900921936,MainProcess):2021-11-29-15:34:31.358.472 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- trainable_params_count:21423296
- start copy data...
- [WARNING] ME(107:281472848230992,MainProcess):2021-11-29-15:34:31.409.342 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(113:281473770097232,MainProcess):2021-11-29-15:34:31.410.858 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(107:281472848230992,MainProcess):2021-11-29-15:34:31.414.703 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(115:281472900921936,MainProcess):2021-11-29-15:34:31.414.909 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(113:281473770097232,MainProcess):2021-11-29-15:34:31.416.039 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- trainable_params_count:21423296
- [WARNING] ME(115:281472900921936,MainProcess):2021-11-29-15:34:31.420.335 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(113:281473770097232,MainProcess):2021-11-29-15:34:31.470.199 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(107:281472848230992,MainProcess):2021-11-29-15:34:31.471.770 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(113:281473770097232,MainProcess):2021-11-29-15:34:31.475.392 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(107:281472848230992,MainProcess):2021-11-29-15:34:31.476.972 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(115:281472900921936,MainProcess):2021-11-29-15:34:31.482.555 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(115:281472900921936,MainProcess):2021-11-29-15:34:31.488.151 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(113:281473770097232,MainProcess):2021-11-29-15:34:31.530.928 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- [WARNING] ME(113:281473770097232,MainProcess):2021-11-29-15:34:31.536.131 [mindspore/nn/layer/conv.py:100] Value of 'has_bias' is False, value of 'bias_init' will be ignored.
- trainable_params_count:21423296
- trainable_params_count:21423296
- trainable_params_count:21423296
- copy data finished,use time37.173505783081055s
- start decompression imagenet tar.gz...
- decompression imagenet tar.gz finished,use time1579.1171576976776s
- Batches_per_epoch: 1251
- [WARNING] ME(103:281473373821520,MainProcess):2021-11-29-16:01:28.267.738 [mindspore/nn/loss/loss.py:103] '_Loss' is deprecated from version 1.3 and will be removed in a future version, use 'LossBase' instead.
- Batches_per_epoch: 1251
- [WARNING] ME(117:281473861122640,MainProcess):2021-11-29-16:01:28.338.040 [mindspore/nn/loss/loss.py:103] '_Loss' is deprecated from version 1.3 and will be removed in a future version, use 'LossBase' instead.
- Batches_per_epoch: 1251
- [WARNING] ME(107:281472848230992,MainProcess):2021-11-29-16:01:28.475.983 [mindspore/nn/loss/loss.py:103] '_Loss' is deprecated from version 1.3 and will be removed in a future version, use 'LossBase' instead.
- Batches_per_epoch: 1251
- [WARNING] ME(115:281472900921936,MainProcess):2021-11-29-16:01:28.479.112 [mindspore/nn/loss/loss.py:103] '_Loss' is deprecated from version 1.3 and will be removed in a future version, use 'LossBase' instead.
- Batches_per_epoch: 1251
- [WARNING] ME(113:281473770097232,MainProcess):2021-11-29-16:01:28.523.059 [mindspore/nn/loss/loss.py:103] '_Loss' is deprecated from version 1.3 and will be removed in a future version, use 'LossBase' instead.
- Batches_per_epoch: 1251
- [WARNING] ME(109:281473565436496,MainProcess):2021-11-29-16:01:33.567.50 [mindspore/nn/loss/loss.py:103] '_Loss' is deprecated from version 1.3 and will be removed in a future version, use 'LossBase' instead.
- Batches_per_epoch: 1251
- [WARNING] ME(105:281473561246288,MainProcess):2021-11-29-16:01:33.139.194 [mindspore/nn/loss/loss.py:103] '_Loss' is deprecated from version 1.3 and will be removed in a future version, use 'LossBase' instead.
- Batches_per_epoch: 1251
- [WARNING] ME(111:281473237838416,MainProcess):2021-11-29-16:01:33.186.871 [mindspore/nn/loss/loss.py:103] '_Loss' is deprecated from version 1.3 and will be removed in a future version, use 'LossBase' instead.
- ============== Starting Training ==============
- ============== Starting Training ==============
- ============== Starting Training ==============
- ============== Starting Training ==============
- ============== Starting Training ==============
- ============== Starting Training ==============
- ============== Starting Training ==============
- ============== Starting Training ==============
- [WARNING] DEVICE(117,fffe93fff160,python):2021-11-29-16:02:41.914.614 [mindspore/ccsrc/runtime/device/ascend/kernel_select_ascend.cc:284] TagRaiseReduce] node:[DropoutGenMask]reduce precision from int64 to int32
- [WARNING] DEVICE(109,fffe8d46f160,python):2021-11-29-16:02:42.903.872 [mindspore/ccsrc/runtime/device/ascend/kernel_select_ascend.cc:284] TagRaiseReduce] node:[DropoutGenMask]reduce precision from int64 to int32
- [WARNING] DEVICE(103,fffe7dc70160,python):2021-11-29-16:02:43.142.461 [mindspore/ccsrc/runtime/device/ascend/kernel_select_ascend.cc:284] TagRaiseReduce] node:[DropoutGenMask]reduce precision from int64 to int32
- [WARNING] DEVICE(107,fffe57fff160,python):2021-11-29-16:02:44.472.300 [mindspore/ccsrc/runtime/device/ascend/kernel_select_ascend.cc:284] TagRaiseReduce] node:[DropoutGenMask]reduce precision from int64 to int32
- [WARNING] DEVICE(113,fffe95c70160,python):2021-11-29-16:02:44.507.936 [mindspore/ccsrc/runtime/device/ascend/kernel_select_ascend.cc:284] TagRaiseReduce] node:[DropoutGenMask]reduce precision from int64 to int32
- [WARNING] DEVICE(115,fffe61c70160,python):2021-11-29-16:02:44.613.270 [mindspore/ccsrc/runtime/device/ascend/kernel_select_ascend.cc:284] TagRaiseReduce] node:[DropoutGenMask]reduce precision from int64 to int32
- [WARNING] DEVICE(111,fffe75c70160,python):2021-11-29-16:02:45.524.941 [mindspore/ccsrc/runtime/device/ascend/kernel_select_ascend.cc:284] TagRaiseReduce] node:[DropoutGenMask]reduce precision from int64 to int32
- [WARNING] DEVICE(105,fffe8d46f160,python):2021-11-29-16:02:47.181.753 [mindspore/ccsrc/runtime/device/ascend/kernel_select_ascend.cc:284] TagRaiseReduce] node:[DropoutGenMask]reduce precision from int64 to int32
- [WARNING] SESSION(117,fffe93fff160,python):2021-11-29-16:02:55.682.288 [mindspore/ccsrc/backend/session/ascend_session.cc:1377] SelectKernel] There are 170 node/nodes used raise precision to selected the kernel!
- [WARNING] SESSION(117,fffe93fff160,python):2021-11-29-16:02:55.682.316 [mindspore/ccsrc/backend/session/ascend_session.cc:1381] SelectKernel] There are 1 node/nodes used reduce precision to selected the kernel!
- [WARNING] SESSION(109,fffe8d46f160,python):2021-11-29-16:02:56.765.955 [mindspore/ccsrc/backend/session/ascend_session.cc:1377] SelectKernel] There are 170 node/nodes used raise precision to selected the kernel!
- [WARNING] SESSION(109,fffe8d46f160,python):2021-11-29-16:02:56.765.984 [mindspore/ccsrc/backend/session/ascend_session.cc:1381] SelectKernel] There are 1 node/nodes used reduce precision to selected the kernel!
- [WARNING] SESSION(103,fffe7dc70160,python):2021-11-29-16:02:57.331.854 [mindspore/ccsrc/backend/session/ascend_session.cc:1377] SelectKernel] There are 170 node/nodes used raise precision to selected the kernel!
- [WARNING] SESSION(103,fffe7dc70160,python):2021-11-29-16:02:57.331.889 [mindspore/ccsrc/backend/session/ascend_session.cc:1381] SelectKernel] There are 1 node/nodes used reduce precision to selected the kernel!
- [WARNING] SESSION(107,fffe57fff160,python):2021-11-29-16:02:58.086.446 [mindspore/ccsrc/backend/session/ascend_session.cc:1377] SelectKernel] There are 170 node/nodes used raise precision to selected the kernel!
- [WARNING] SESSION(107,fffe57fff160,python):2021-11-29-16:02:58.086.482 [mindspore/ccsrc/backend/session/ascend_session.cc:1381] SelectKernel] There are 1 node/nodes used reduce precision to selected the kernel!
- [WARNING] SESSION(115,fffe61c70160,python):2021-11-29-16:02:58.205.437 [mindspore/ccsrc/backend/session/ascend_session.cc:1377] SelectKernel] There are 170 node/nodes used raise precision to selected the kernel!
- [WARNING] SESSION(115,fffe61c70160,python):2021-11-29-16:02:58.205.470 [mindspore/ccsrc/backend/session/ascend_session.cc:1381] SelectKernel] There are 1 node/nodes used reduce precision to selected the kernel!
- [WARNING] SESSION(113,fffe95c70160,python):2021-11-29-16:02:58.553.920 [mindspore/ccsrc/backend/session/ascend_session.cc:1377] SelectKernel] There are 170 node/nodes used raise precision to selected the kernel!
- [WARNING] SESSION(113,fffe95c70160,python):2021-11-29-16:02:58.553.952 [mindspore/ccsrc/backend/session/ascend_session.cc:1381] SelectKernel] There are 1 node/nodes used reduce precision to selected the kernel!
- [WARNING] SESSION(111,fffe75c70160,python):2021-11-29-16:02:58.853.604 [mindspore/ccsrc/backend/session/ascend_session.cc:1377] SelectKernel] There are 170 node/nodes used raise precision to selected the kernel!
- [WARNING] SESSION(111,fffe75c70160,python):2021-11-29-16:02:58.853.637 [mindspore/ccsrc/backend/session/ascend_session.cc:1381] SelectKernel] There are 1 node/nodes used reduce precision to selected the kernel!
- [WARNING] SESSION(105,fffe8d46f160,python):2021-11-29-16:03:00.872.041 [mindspore/ccsrc/backend/session/ascend_session.cc:1377] SelectKernel] There are 170 node/nodes used raise precision to selected the kernel!
- [WARNING] SESSION(105,fffe8d46f160,python):2021-11-29-16:03:00.872.073 [mindspore/ccsrc/backend/session/ascend_session.cc:1381] SelectKernel] There are 1 node/nodes used reduce precision to selected the kernel!
- epoch: 1 step: 1251, loss is 1.5654992
- epoch: 1 step: 1251, loss is 1.6179522epoch: 1 step: 1251, loss is 1.8138709epoch: 1 step: 1251, loss is 1.6337247
-
-
- epoch: 1 step: 1251, loss is 1.747884
- epoch: 1 step: 1251, loss is 1.7106009
- epoch: 1 step: 1251, loss is 1.6569283
- epoch: 1 step: 1251, loss is 1.531196
- epoch time: 1637382.418 ms, per step time: 1308.859 ms
- epoch time: 1641593.987 ms, per step time: 1312.225 ms============== Starting Testing ==============epoch time: 1637440.325 ms, per step time: 1308.905 ms
- ============== Starting Testing ==============
-
- epoch time: 1641225.099 ms, per step time: 1311.931 ms
- epoch time: 1641466.571 ms, per step time: 1312.124 ms============== Starting Testing ==============
- epoch time: 1638226.792 ms, per step time: 1309.534 ms
- ============== Starting Testing ==============
- epoch time: 1641976.279 ms, per step time: 1312.531 ms
- ============== Starting Testing ==============
-
-
- ============== Starting Testing ============================ Starting Testing ==============epoch time: 1641129.385 ms, per step time: 1311.854 ms
-
-
- ============== Starting Testing ==============
- [WARNING] SESSION(109,fffe8d46f160,python):2021-11-29-16:29:35.570.039 [mindspore/ccsrc/backend/session/ascend_session.cc:1377] SelectKernel] There are 110 node/nodes used raise precision to selected the kernel!
- [WARNING] SESSION(117,fffe93fff160,python):2021-11-29-16:29:35.846.706 [mindspore/ccsrc/backend/session/ascend_session.cc:1377] SelectKernel] There are 110 node/nodes used raise precision to selected the kernel!
- [WARNING] SESSION(115,fffe61c70160,python):2021-11-29-16:29:36.565.159 [mindspore/ccsrc/backend/session/ascend_session.cc:1377] SelectKernel] There are 110 node/nodes used raise precision to selected the kernel!
- [WARNING] SESSION(107,fffe57fff160,python):2021-11-29-16:29:37.551.045 [mindspore/ccsrc/backend/session/ascend_session.cc:1377] SelectKernel] There are 110 node/nodes used raise precision to selected the kernel!
- [WARNING] SESSION(111,fffe75c70160,python):2021-11-29-16:29:37.696.725 [mindspore/ccsrc/backend/session/ascend_session.cc:1377] SelectKernel] There are 110 node/nodes used raise precision to selected the kernel!
- [WARNING] SESSION(113,fffe95c70160,python):2021-11-29-16:29:37.763.403 [mindspore/ccsrc/backend/session/ascend_session.cc:1377] SelectKernel] There are 110 node/nodes used raise precision to selected the kernel!
- [WARNING] SESSION(105,fffe8d46f160,python):2021-11-29-16:29:38.642.147 [mindspore/ccsrc/backend/session/ascend_session.cc:1377] SelectKernel] There are 110 node/nodes used raise precision to selected the kernel!
- [WARNING] SESSION(103,fffe7dc70160,python):2021-11-29-16:29:39.166.532 [mindspore/ccsrc/backend/session/ascend_session.cc:1377] SelectKernel] There are 110 node/nodes used raise precision to selected the kernel!
- ============== result:{'acc': 0.800020032051282, 'loss': 1.7600223183631898}, use_time:176.02511429786682 ==============
- =================save checkpoint....====================
- ============== result:{'loss': 1.759944064189226, 'acc': 0.7996794871794872}, use_time:176.15763473510742 ==============
- =================save checkpoint....====================
- ============== result:{'acc': 0.7992387820512821, 'loss': 1.7601195821395288}, use_time:176.24025321006775 ==============
- =================save checkpoint....====================
- ============== result:{'loss': 1.7605268432543828, 'acc': 0.7992788461538461}, use_time:177.16391515731812 ==============
- =================save checkpoint....====================
- ============== result:{'loss': 1.7592175367550973, 'acc': 0.7996594551282051}, use_time:178.15880370140076 ==============
- =================save checkpoint....====================
- ============== result:{'acc': 0.7997596153846154, 'loss': 1.76025894513497}, use_time:180.48486804962158 ==============
- =================save checkpoint....====================
- ============== result:{'acc': 0.7998197115384615, 'loss': 1.7630214929580688}, use_time:180.61132645606995 ==============
- =================save checkpoint....====================
- ============== result:{'acc': 0.8005008012820513, 'loss': 1.7577249157123076}, use_time:180.62710094451904 ==============
- =================save checkpoint....====================
- ==============save checkpoint finished===================
- The best acc is 0.7996794871794872
- ==============save checkpoint finished===================
- The best acc is 0.800020032051282
- ==============save checkpoint finished===================
- The best acc is 0.7992387820512821
- ==============save checkpoint finished===================
- The best acc is 0.7992788461538461
- ==============save checkpoint finished===================
- The best acc is 0.7996594551282051
- ==============save checkpoint finished===================
- The best acc is 0.7997596153846154
- ==============save checkpoint finished===================
- The best acc is 0.7998197115384615
- ==============save checkpoint finished===================
- The best acc is 0.8005008012820513
- epoch: 2 step: 1251, loss is 1.573417
- epoch: 2 step: 1251, loss is 1.8005476
- epoch: 2 step: 1251, loss is 1.6412914
- epoch: 2 step: 1251, loss is 1.8833268epoch: 2 step: 1251, loss is 1.6174425epoch: 2 step: 1251, loss is 1.5727752epoch: 2 step: 1251, loss is 1.8185441
-
-
- epoch time: 603440.591 ms, per step time: 482.367 msepoch time: 603435.338 ms, per step time: 482.362 ms
-
- epoch time: 603572.561 ms, per step time: 482.472 ms============== Starting Testing ==============
- ============== Starting Testing ==============
-
- epoch time: 609403.617 ms, per step time: 487.133 ms============== Starting Testing ==============
-
- epoch time: 609389.651 ms, per step time: 487.122 msepoch time: 609086.444 ms, per step time: 486.880 ms
- ============== Starting Testing ==============
- ============== Starting Testing ==============
-
- ============== Starting Testing ==============
- epoch: 2 step: 1251, loss is 1.6564158
-
- epoch time: 607961.915 ms, per step time: 485.981 ms
- ============== Starting Testing ==============
- epoch time: 607144.554 ms, per step time: 485.327 ms
- ============== Starting Testing ==============
- ============== result:{'loss': 1.7565093633456108, 'acc': 0.7997195512820513}, use_time:85.62326669692993 ==============
- =================save checkpoint....====================
- ============== result:{'loss': 1.7603609302105048, 'acc': 0.7997996794871794}, use_time:86.19479274749756 ==============
- =================save checkpoint....====================
- ============== result:{'acc': 0.7993990384615385, 'loss': 1.7596326910532438}, use_time:86.38490796089172 ==============
- =================save checkpoint....====================
- ============== result:{'acc': 0.7995392628205128, 'loss': 1.7608244859255278}, use_time:87.28847026824951 ==============
- The best acc is 0.800020032051282
- ============== result:{'loss': 1.7607179180169716, 'acc': 0.7995392628205128}, use_time:87.34545350074768 ==============
- =================save checkpoint....====================
- ============== result:{'acc': 0.7994391025641026, 'loss': 1.760711655861292}, use_time:87.44417953491211 ==============
- The best acc is 0.7997596153846154
- ============== result:{'acc': 0.7998397435897436, 'loss': 1.7595807601244022}, use_time:87.71758699417114 ==============
- The best acc is 0.8005008012820513
- ============== result:{'acc': 0.7989983974358974, 'loss': 1.7591225822766623}, use_time:88.42812609672546 ==============
- The best acc is 0.7998197115384615
- ==============save checkpoint finished===================
- The best acc is 0.7997195512820513
- ==============save checkpoint finished===================
- The best acc is 0.7997996794871794
- ==============save checkpoint finished===================
- The best acc is 0.7993990384615385
- ==============save checkpoint finished===================
- The best acc is 0.7995392628205128
- epoch: 3 step: 1251, loss is 1.588952
- epoch: 3 step: 1251, loss is 1.7724926
- epoch: 3 step: 1251, loss is 1.8496068epoch: 3 step: 1251, loss is 1.7981913
- epoch: 3 step: 1251, loss is 1.6610065
-
- epoch: 3 step: 1251, loss is 1.7129778
- epoch: 3 step: 1251, loss is 1.7666893
- epoch time: 607103.901 ms, per step time: 485.295 msepoch time: 606825.037 ms, per step time: 485.072 ms
- ============== Starting Testing ==============
-
- ============== Starting Testing ==============
- epoch time: 609929.697 ms, per step time: 487.554 ms
- ============== Starting Testing ==============
- epoch time: 607452.692 ms, per step time: 485.574 ms
- ============== Starting Testing ==============
- epoch time: 610203.973 ms, per step time: 487.773 ms
- epoch time: 605581.019 ms, per step time: 484.078 ms============== Starting Testing ==============
-
- ============== Starting Testing ==============epoch: 3 step: 1251, loss is 1.783758
-
- epoch time: 610360.819 ms, per step time: 487.898 ms
- ============== Starting Testing ==============
- epoch time: 609239.504 ms, per step time: 487.002 ms
- ============== Starting Testing ==============
- ============== result:{'loss': 1.761142909526825, 'acc': 0.7996594551282051}, use_time:85.8539309501648 ==============
- The best acc is 0.7997195512820513
- ============== result:{'acc': 0.8002403846153846, 'loss': 1.7598718612621993}, use_time:87.06919836997986 ==============
- =================save checkpoint....====================
- ============== result:{'loss': 1.7580049805152111, 'acc': 0.8007411858974359}, use_time:87.20971250534058 ==============
- =================save checkpoint....====================
- ============== result:{'loss': 1.7586485058833392, 'acc': 0.7997596153846154}, use_time:87.62169790267944 ==============
- =================save checkpoint....====================
- ============== result:{'acc': 0.8004206730769231, 'loss': 1.758447342346876}, use_time:87.67274022102356 ==============
- =================save checkpoint....====================
- ============== result:{'acc': 0.8006810897435898, 'loss': 1.7589782519218249}, use_time:88.41287064552307 ==============
- =================save checkpoint....====================
- ============== result:{'acc': 0.800020032051282, 'loss': 1.7605141893411294}, use_time:88.50472521781921 ==============
- The best acc is 0.8005008012820513
- ============== result:{'acc': 0.7998998397435897, 'loss': 1.760173042003925}, use_time:89.10880780220032 ==============
- =================save checkpoint....====================
- ==============save checkpoint finished===================
- The best acc is 0.8002403846153846
- ==============save checkpoint finished===================
- The best acc is 0.8007411858974359
- ==============save checkpoint finished===================
- The best acc is 0.8004206730769231
- ==============save checkpoint finished===================
- The best acc is 0.7997596153846154
- ==============save checkpoint finished===================
- The best acc is 0.7998998397435897
- ==============save checkpoint finished===================
- The best acc is 0.8006810897435898
- epoch: 4 step: 1251, loss is 1.7455959
- epoch: 4 step: 1251, loss is 1.7599052
- epoch: 4 step: 1251, loss is 1.6574571epoch: 4 step: 1251, loss is 1.759079epoch: 4 step: 1251, loss is 1.7625502
-
-
- epoch: 4 step: 1251, loss is 1.5872555epoch: 4 step: 1251, loss is 1.6415961epoch time: 606244.899 ms, per step time: 484.608 msepoch time: 607845.282 ms, per step time: 485.888 ms
-
- ============== Starting Testing ============================ Starting Testing ==============
-
- epoch time: 605103.324 ms, per step time: 483.696 ms
- epoch time: 604864.087 ms, per step time: 483.504 msepoch time: 605251.418 ms, per step time: 483.814 ms
- ============== Starting Testing ============================ Starting Testing ==============
- ============== Starting Testing ==============
-
-
- epoch: 4 step: 1251, loss is 1.7400652
- epoch time: 614856.098 ms, per step time: 491.492 ms
- ============== Starting Testing ==============
-
-
- epoch time: 605442.950 ms, per step time: 483.967 ms
- ============== Starting Testing ==============
- epoch time: 612242.993 ms, per step time: 489.403 ms
- ============== Starting Testing ==============
- ============== result:{'loss': 1.7562854112722934, 'acc': 0.7993990384615385}, use_time:85.77561092376709 ==============
- The best acc is 0.7997195512820513
- ============== result:{'loss': 1.7575759420028099, 'acc': 0.7999599358974359}, use_time:85.83788299560547 ==============
- The best acc is 0.8007411858974359
- ============== result:{'acc': 0.8002203525641025, 'loss': 1.7534059567329212}, use_time:86.8252100944519 ==============
- The best acc is 0.8002403846153846
- ============== result:{'loss': 1.7572569131851197, 'acc': 0.7994190705128205}, use_time:87.123286485672 ==============
- The best acc is 0.7997596153846154
- ============== result:{'acc': 0.7997796474358975, 'loss': 1.7534176594171769}, use_time:87.6810507774353 ==============
- The best acc is 0.8004206730769231
- ============== result:{'acc': 0.7987179487179488, 'loss': 1.7571672302026016}, use_time:87.92337942123413 ==============
- The best acc is 0.8006810897435898
- ============== result:{'acc': 0.7996594551282051, 'loss': 1.75609619923127}, use_time:87.87351775169373 ==============
- The best acc is 0.8005008012820513
- ============== result:{'acc': 0.7995793269230769, 'loss': 1.755906676634764}, use_time:88.1301519870758 ==============
- The best acc is 0.7998998397435897
- epoch: 5 step: 1251, loss is 1.9343584
- epoch: 5 step: 1251, loss is 1.7451096epoch: 5 step: 1251, loss is 1.8201668
-
- epoch: 5 step: 1251, loss is 1.7625549
- epoch: 5 step: 1251, loss is 1.7816423epoch: 5 step: 1251, loss is 1.5364614
-
- epoch: 5 step: 1251, loss is 1.829289
- epoch time: 608160.425 ms, per step time: 486.139 msepoch time: 609148.426 ms, per step time: 486.929 ms
- ============== Starting Testing ==============
- ============== Starting Testing ==============
-
- epoch time: 607860.795 ms, per step time: 485.900 msepoch time: 607046.324 ms, per step time: 485.249 ms
-
- ============== Starting Testing ==============
- ============== Starting Testing ==============
- epoch time: 609184.180 ms, per step time: 486.958 msepoch time: 607063.310 ms, per step time: 485.262 msepoch time: 606857.362 ms, per step time: 485.098 ms
-
- ============== Starting Testing ============================ Starting Testing ==============
-
-
- ============== Starting Testing ==============
- epoch: 5 step: 1251, loss is 1.8848217
- epoch time: 607269.842 ms, per step time: 485.428 ms
- ============== Starting Testing ==============
- ============== result:{'loss': 1.7544026313683925, 'acc': 0.7998197115384615}, use_time:86.04234218597412 ==============
- =================save checkpoint....====================
- ============== result:{'loss': 1.7521517160611275, 'acc': 0.8006410256410257}, use_time:86.71884632110596 ==============
- The best acc is 0.8007411858974359
- ============== result:{'acc': 0.7987379807692307, 'loss': 1.7588777688833384}, use_time:87.15150189399719 ==============
- The best acc is 0.8002403846153846
- ============== result:{'loss': 1.7556779992886078, 'acc': 0.79921875}, use_time:87.87623429298401 ==============
- The best acc is 0.7997596153846154
- ============== result:{'acc': 0.7993189102564102, 'loss': 1.7546873826246996}, use_time:87.98770475387573 ==============
- The best acc is 0.8004206730769231
- ============== result:{'acc': 0.7987179487179488, 'loss': 1.758882746941004}, use_time:88.06970548629761 ==============
- The best acc is 0.8006810897435898
- ============== result:{'acc': 0.7994591346153846, 'loss': 1.754734387764564}, use_time:88.63073897361755 ==============
- The best acc is 0.8005008012820513
- ============== result:{'acc': 0.7990985576923076, 'loss': 1.7558601807325314}, use_time:89.19899606704712 ==============
- The best acc is 0.7998998397435897
- ==============save checkpoint finished===================
- The best acc is 0.7998197115384615
- epoch: 6 step: 1251, loss is 1.7240398epoch: 6 step: 1251, loss is 1.625027epoch: 6 step: 1251, loss is 1.558853
-
- epoch: 6 step: 1251, loss is 1.6930599
- epoch: 6 step: 1251, loss is 1.5888615epoch: 6 step: 1251, loss is 1.6741128
-
-
- epoch time: 613189.097 ms, per step time: 490.159 ms
- ============== Starting Testing ==============
- epoch time: 612465.115 ms, per step time: 489.580 msepoch time: 613625.374 ms, per step time: 490.508 msepoch time: 612325.761 ms, per step time: 489.469 ms
- ============== Starting Testing ==============
-
- ============== Starting Testing ==============
-
- ============== Starting Testing ==============epoch time: 612269.402 ms, per step time: 489.424 ms
-
- ============== Starting Testing ==============
- epoch time: 607032.538 ms, per step time: 485.238 ms
- ============== Starting Testing ==============
- epoch: 6 step: 1251, loss is 1.676939
- epoch: 6 step: 1251, loss is 1.5320911
- epoch time: 611752.362 ms, per step time: 489.011 ms
- ============== Starting Testing ==============
- epoch time: 611194.562 ms, per step time: 488.565 ms
- ============== Starting Testing ==============
- ============== result:{'acc': 0.7997195512820513, 'loss': 1.7567488074302673}, use_time:83.60396790504456 ==============
- The best acc is 0.8004206730769231
- ============== result:{'acc': 0.799979967948718, 'loss': 1.753816949404203}, use_time:86.50610733032227 ==============
- The best acc is 0.8002403846153846
- ============== result:{'loss': 1.7543887190329723, 'acc': 0.8000600961538461}, use_time:86.62396550178528 ==============
- The best acc is 0.8007411858974359
- ============== result:{'loss': 1.7572334167284844, 'acc': 0.7994791666666666}, use_time:87.15313148498535 ==============
- The best acc is 0.7998197115384615
- ============== result:{'loss': 1.7543305051632416, 'acc': 0.7999399038461539}, use_time:87.56507992744446 ==============
- =================save checkpoint....====================
- ============== result:{'acc': 0.8000600961538461, 'loss': 1.7573692009999202}, use_time:88.39852523803711 ==============
- The best acc is 0.8006810897435898
- ============== result:{'acc': 0.8005608974358974, 'loss': 1.753479331273299}, use_time:88.38354015350342 ==============
- =================save checkpoint....====================
- ============== result:{'acc': 0.7999399038461539, 'loss': 1.7547807812690734}, use_time:89.06299924850464 ==============
- =================save checkpoint....====================
- ==============save checkpoint finished===================
- The best acc is 0.7999399038461539
- ==============save checkpoint finished===================
- The best acc is 0.8005608974358974
- ==============save checkpoint finished===================
- The best acc is 0.7999399038461539
- epoch: 7 step: 1251, loss is 1.950935
- epoch: 7 step: 1251, loss is 1.5348315
- epoch: 7 step: 1251, loss is 1.4725645
- epoch: 7 step: 1251, loss is 1.7499006
- epoch time: 607231.837 ms, per step time: 485.397 msepoch time: 608639.588 ms, per step time: 486.522 msepoch time: 614732.730 ms, per step time: 491.393 ms
- ============== Starting Testing ==============
-
-
- epoch time: 616630.627 ms, per step time: 492.910 ms============== Starting Testing ==============
-
- ============== Starting Testing ==============
- ============== Starting Testing ==============
- epoch: 7 step: 1251, loss is 1.8214228
- epoch: 7 step: 1251, loss is 1.7534089
- epoch: 7 step: 1251, loss is 1.5869415
- epoch time: 607654.503 ms, per step time: 485.735 ms
- ============== Starting Testing ==============
- epoch time: 616006.105 ms, per step time: 492.411 ms
- ============== Starting Testing ==============
- epoch: 7 step: 1251, loss is 1.7297893
- epoch time: 616543.688 ms, per step time: 492.841 ms
- ============== Starting Testing ==============
- epoch time: 619577.402 ms, per step time: 495.266 ms
- ============== Starting Testing ==============
- ============== result:{'loss': 1.7590019296377133, 'acc': 0.7999599358974359}, use_time:86.84103345870972 ==============
- The best acc is 0.8007411858974359
- ============== result:{'loss': 1.7616718093554178, 'acc': 0.8002403846153846}, use_time:87.13123178482056 ==============
- =================save checkpoint....====================
- ============== result:{'loss': 1.7628908346860837, 'acc': 0.7990985576923076}, use_time:87.329345703125 ==============
- The best acc is 0.7999399038461539
- ============== result:{'acc': 0.8001201923076923, 'loss': 1.7603311107708857}, use_time:87.5209288597107 ==============
- The best acc is 0.8002403846153846
- ============== result:{'acc': 0.799979967948718, 'loss': 1.7613836511587486}, use_time:87.48861050605774 ==============
- The best acc is 0.8004206730769231
- ============== result:{'acc': 0.8007011217948717, 'loss': 1.7608351863347567}, use_time:87.733562707901 ==============
- =================save checkpoint....====================
- ============== result:{'acc': 0.8010416666666667, 'loss': 1.7580614041059446}, use_time:88.18690419197083 ==============
- =================save checkpoint....====================
- ============== result:{'acc': 0.8005809294871795, 'loss': 1.7584708721209794}, use_time:88.23888111114502 ==============
- =================save checkpoint....====================
- ==============save checkpoint finished===================
- The best acc is 0.8002403846153846
- ==============save checkpoint finished===================
- The best acc is 0.8007011217948717
- ==============save checkpoint finished===================
- The best acc is 0.8005809294871795
- ==============save checkpoint finished===================
- The best acc is 0.8010416666666667
- epoch: 8 step: 1251, loss is 1.810358
- epoch: 8 step: 1251, loss is 1.7077119epoch: 8 step: 1251, loss is 1.6549096
-
- epoch: 8 step: 1251, loss is 1.858054
- epoch: 8 step: 1251, loss is 1.7315542
- epoch time: 611007.623 ms, per step time: 488.415 ms
- ============== Starting Testing ==============
- epoch time: 607691.732 ms, per step time: 485.765 ms
- epoch time: 610994.951 ms, per step time: 488.405 ms
- ============== Starting Testing ==============epoch: 8 step: 1251, loss is 1.894409============== Starting Testing ==============
-
-
- epoch time: 611143.961 ms, per step time: 488.524 msepoch time: 605989.880 ms, per step time: 484.404 ms
- ============== Starting Testing ==============
-
- ============== Starting Testing ==============
- epoch: 8 step: 1251, loss is 1.6760174
- epoch time: 611675.583 ms, per step time: 488.949 ms
- ============== Starting Testing ==============
- epoch: 8 step: 1251, loss is 1.8153782
- epoch time: 606304.233 ms, per step time: 484.656 ms
- ============== Starting Testing ==============
- epoch time: 606616.576 ms, per step time: 484.905 ms
- ============== Starting Testing ==============
- ============== result:{'loss': 1.7568296695366883, 'acc': 0.7994591346153846}, use_time:81.74099946022034 ==============
- The best acc is 0.8007411858974359
- ============== result:{'loss': 1.760414938743298, 'acc': 0.7987379807692307}, use_time:86.0966694355011 ==============
- The best acc is 0.8002403846153846
- ============== result:{'acc': 0.7989783653846154, 'loss': 1.7594752009098347}, use_time:86.74962830543518 ==============
- The best acc is 0.8002403846153846
- ============== result:{'loss': 1.7616556653609643, 'acc': 0.7985576923076924}, use_time:87.0928897857666 ==============
- The best acc is 0.7999399038461539
- ============== result:{'acc': 0.7979967948717949, 'loss': 1.7624963424144646}, use_time:87.8423798084259 ==============
- The best acc is 0.8007011217948717
- ============== result:{'acc': 0.79765625, 'loss': 1.7633495489756266}, use_time:88.04445147514343 ==============
- The best acc is 0.8004206730769231
- ============== result:{'acc': 0.7984375, 'loss': 1.7612796820127048}, use_time:88.39001059532166 ==============
- The best acc is 0.8010416666666667
- ============== result:{'acc': 0.7983173076923077, 'loss': 1.7625348946987054}, use_time:88.6536819934845 ==============
- The best acc is 0.8005809294871795
- epoch: 9 step: 1251, loss is 1.520432
- epoch: 9 step: 1251, loss is 1.7414573epoch: 9 step: 1251, loss is 1.8142785epoch: 9 step: 1251, loss is 1.840373
-
-
- epoch: 9 step: 1251, loss is 1.6946752
- epoch: 9 step: 1251, loss is 1.7089081
- epoch time: 609909.267 ms, per step time: 487.537 ms
- epoch: 9 step: 1251, loss is 1.80014epoch time: 609558.311 ms, per step time: 487.257 ms
- ============== Starting Testing ==============
- ============== Starting Testing ==============
-
- epoch time: 610559.992 ms, per step time: 488.058 ms
- ============== Starting Testing ==============
- epoch time: 614900.645 ms, per step time: 491.527 ms
- ============== Starting Testing ==============
- epoch time: 607976.220 ms, per step time: 485.992 ms
- ============== Starting Testing ==============
- epoch time: 608619.940 ms, per step time: 486.507 ms
- ============== Starting Testing ==============
- epoch time: 608281.585 ms, per step time: 486.236 ms
- ============== Starting Testing ==============
- epoch: 9 step: 1251, loss is 1.7341986
- epoch time: 608819.023 ms, per step time: 486.666 ms
- ============== Starting Testing ==============
- ============== result:{'loss': 1.7507422936268342, 'acc': 0.8013822115384616}, use_time:85.98917722702026 ==============
- =================save checkpoint....====================
- ============== result:{'loss': 1.7513494632182978, 'acc': 0.8004607371794872}, use_time:87.20053172111511 ==============
- =================save checkpoint....====================
- ============== result:{'loss': 1.7543556965314424, 'acc': 0.8}, use_time:87.31290197372437 ==============
- The best acc is 0.8007411858974359
- ============== result:{'acc': 0.8003004807692308, 'loss': 1.7534265282826547}, use_time:87.66889524459839 ==============
- =================save checkpoint....====================
- ============== result:{'acc': 0.8010817307692307, 'loss': 1.7507780839235354}, use_time:88.31763291358948 ==============
- =================save checkpoint....====================
- ============== result:{'acc': 0.8011217948717949, 'loss': 1.753105210035275}, use_time:88.40193629264832 ==============
- =================save checkpoint....====================
- ============== result:{'acc': 0.8002804487179487, 'loss': 1.7564186557745323}, use_time:88.716561794281 ==============
- The best acc is 0.8007011217948717
- ============== result:{'acc': 0.8011418269230769, 'loss': 1.7527952692447564}, use_time:89.02454328536987 ==============
- =================save checkpoint....====================
- ==============save checkpoint finished===================
- The best acc is 0.8013822115384616
- ==============save checkpoint finished===================
- The best acc is 0.8004607371794872
- ==============save checkpoint finished===================
- The best acc is 0.8003004807692308
- ==============save checkpoint finished===================
- The best acc is 0.8010817307692307
- ==============save checkpoint finished===================
- The best acc is 0.8011217948717949
- ==============save checkpoint finished===================
- The best acc is 0.8011418269230769
- epoch: 10 step: 1251, loss is 1.675199epoch: 10 step: 1251, loss is 1.558004epoch: 10 step: 1251, loss is 1.7427477
-
-
- epoch: 10 step: 1251, loss is 1.6266834epoch: 10 step: 1251, loss is 1.8302062
-
- epoch: 10 step: 1251, loss is 1.6090593
- epoch time: 609181.707 ms, per step time: 486.956 ms
- epoch time: 614892.099 ms, per step time: 491.520 ms============== Starting Testing ==============epoch time: 608050.926 ms, per step time: 486.052 ms
-
- ============== Starting Testing ==============
-
- ============== Starting Testing ==============epoch time: 607026.654 ms, per step time: 485.233 ms
-
- epoch time: 616349.354 ms, per step time: 492.685 msepoch: 10 step: 1251, loss is 1.7809935epoch time: 609199.150 ms, per step time: 486.970 ms
- ============== Starting Testing ==============
-
-
- ============== Starting Testing ==============
- ============== Starting Testing ==============
- epoch: 10 step: 1251, loss is 1.7434156
- epoch time: 608360.922 ms, per step time: 486.300 ms
- ============== Starting Testing ==============
- epoch time: 613403.019 ms, per step time: 490.330 ms
- ============== Starting Testing ==============
- ============== result:{'loss': 1.7557908266018598, 'acc': 0.8}, use_time:85.71373414993286 ==============
- The best acc is 0.8013822115384616
- ============== result:{'loss': 1.7607554010855846, 'acc': 0.7995793269230769}, use_time:87.13663625717163 ==============
- The best acc is 0.8004607371794872
- ============== result:{'loss': 1.7586067658204299, 'acc': 0.7998597756410256}, use_time:87.2650134563446 ==============
- The best acc is 0.8007411858974359
- ============== result:{'acc': 0.7991185897435897, 'loss': 1.758557574259929}, use_time:87.87380695343018 ==============
- The best acc is 0.8003004807692308
- ============== result:{'acc': 0.7990785256410257, 'loss': 1.762115539648594}, use_time:87.93920683860779 ==============
- The best acc is 0.8007011217948717
- ============== result:{'acc': 0.7998998397435897, 'loss': 1.7595896002573845}, use_time:88.11451244354248 ==============
- The best acc is 0.8011418269230769
- ============== result:{'acc': 0.7995793269230769, 'loss': 1.758369629505353}, use_time:88.31573748588562 ==============
- The best acc is 0.8011217948717949
- ============== result:{'acc': 0.7995192307692308, 'loss': 1.758219613478734}, use_time:88.62165832519531 ==============
- The best acc is 0.8010817307692307
- epoch: 11 step: 1251, loss is 1.7157933
- epoch: 11 step: 1251, loss is 1.6462028epoch: 11 step: 1251, loss is 1.7584327
- epoch: 11 step: 1251, loss is 1.6311691
- epoch: 11 step: 1251, loss is 1.531482epoch: 11 step: 1251, loss is 1.7167444
-
-
- epoch time: 608053.911 ms, per step time: 486.054 ms
- ============== Starting Testing ==============
- epoch time: 607288.730 ms, per step time: 485.443 msepoch time: 607990.647 ms, per step time: 486.004 ms
- epoch time: 607812.008 ms, per step time: 485.861 ms
- ============== Starting Testing ============================ Starting Testing ==============
-
- ============== Starting Testing ==============
- epoch time: 610193.295 ms, per step time: 487.764 ms
-
- ============== Starting Testing ==============
- epoch: 11 step: 1251, loss is 1.6210923
- epoch: 11 step: 1251, loss is 1.6177263
- epoch time: 608700.455 ms, per step time: 486.571 ms
- ============== Starting Testing ==============
- epoch time: 607656.779 ms, per step time: 485.737 ms
- ============== Starting Testing ==============
- epoch time: 608849.400 ms, per step time: 486.690 ms
- ============== Starting Testing ==============
- ============== result:{'acc': 0.798818108974359, 'loss': 1.770254426736098}, use_time:85.68052291870117 ==============
- The best acc is 0.8003004807692308
- ============== result:{'loss': 1.7686655237124516, 'acc': 0.7993990384615385}, use_time:86.23498463630676 ==============
- The best acc is 0.8013822115384616
- ============== result:{'loss': 1.768105896925315, 'acc': 0.798838141025641}, use_time:86.2938756942749 ==============
- The best acc is 0.8007411858974359
- ============== result:{'loss': 1.7664527141130888, 'acc': 0.7991386217948718}, use_time:87.62954497337341 ==============
- The best acc is 0.8004607371794872
- ============== result:{'acc': 0.7992988782051282, 'loss': 1.768953782472855}, use_time:87.75086736679077 ==============
- The best acc is 0.8011418269230769
- ============== result:{'acc': 0.7996193910256411, 'loss': 1.7667920470237732}, use_time:88.43131899833679 ==============
- The best acc is 0.8007011217948717
- ============== result:{'acc': 0.7997996794871794, 'loss': 1.7685843033668323}, use_time:88.87006068229675 ==============
- The best acc is 0.8011217948717949
- ============== result:{'acc': 0.799979967948718, 'loss': 1.7677879492441813}, use_time:89.67288661003113 ==============
- The best acc is 0.8010817307692307
- epoch: 12 step: 1251, loss is 1.7381201
- epoch: 12 step: 1251, loss is 1.6852
- epoch: 12 step: 1251, loss is 1.6978933
- epoch: 12 step: 1251, loss is 1.7835364
- epoch: 12 step: 1251, loss is 1.8074065
- epoch: 12 step: 1251, loss is 1.7458826
- epoch time: 605964.672 ms, per step time: 484.384 msepoch time: 609310.357 ms, per step time: 487.059 ms
- ============== Starting Testing ==============
- epoch time: 607211.768 ms, per step time: 485.381 msepoch time: 607890.409 ms, per step time: 485.924 ms
-
- ============== Starting Testing ==============
- epoch time: 609965.506 ms, per step time: 487.582 ms============== Starting Testing ==============
-
- epoch: 12 step: 1251, loss is 1.7695937
-
- ============== Starting Testing ============================ Starting Testing ==============
-
- epoch time: 607967.981 ms, per step time: 485.986 ms
- ============== Starting Testing ==============
- epoch time: 606753.516 ms, per step time: 485.015 ms
- ============== Starting Testing ==============
- epoch: 12 step: 1251, loss is 1.7856592
- epoch time: 609459.277 ms, per step time: 487.178 ms
- ============== Starting Testing ==============
- ============== result:{'loss': 1.759094074444893, 'acc': 0.7994391025641026}, use_time:86.29628896713257 ==============
- The best acc is 0.8013822115384616
- ============== result:{'acc': 0.7989983974358974, 'loss': 1.7572995152228919}, use_time:86.83717846870422 ==============
- The best acc is 0.8003004807692308
- ============== result:{'loss': 1.7587449880746695, 'acc': 0.7997596153846154}, use_time:87.23852849006653 ==============
- The best acc is 0.8004607371794872
- ============== result:{'loss': 1.7576659868925046, 'acc': 0.799258814102564}, use_time:87.55912709236145 ==============
- The best acc is 0.8007411858974359
- ============== result:{'acc': 0.799599358974359, 'loss': 1.7577473405079964}, use_time:87.81543588638306 ==============
- The best acc is 0.8007011217948717
- ============== result:{'acc': 0.7995592948717949, 'loss': 1.7595374211286887}, use_time:88.12847018241882 ==============
- The best acc is 0.8011217948717949
- ============== result:{'acc': 0.7990584935897436, 'loss': 1.756177370976179}, use_time:88.78378176689148 ==============
- The best acc is 0.8011418269230769
- ============== result:{'acc': 0.7994991987179487, 'loss': 1.7572488647240858}, use_time:89.53545379638672 ==============
- The best acc is 0.8010817307692307
- epoch: 13 step: 1251, loss is 1.7344725
- epoch: 13 step: 1251, loss is 1.7687657epoch: 13 step: 1251, loss is 1.7553787
- epoch: 13 step: 1251, loss is 1.8010943epoch: 13 step: 1251, loss is 1.733804
-
-
- epoch: 13 step: 1251, loss is 1.6063861
- epoch: 13 step: 1251, loss is 1.5741303
- epoch time: 610089.395 ms, per step time: 487.681 ms
- ============== Starting Testing ==============
- epoch time: 608799.894 ms, per step time: 486.651 msepoch time: 610399.986 ms, per step time: 487.930 ms
- ============== Starting Testing ==============
-
- ============== Starting Testing ==============
- epoch time: 611302.116 ms, per step time: 488.651 msepoch time: 608119.430 ms, per step time: 486.107 ms
- ============== Starting Testing ==============
- epoch time: 610809.254 ms, per step time: 488.257 ms
-
- ============== Starting Testing ==============
- ============== Starting Testing ==============
- epoch: 13 step: 1251, loss is 1.7533934
- epoch time: 609848.793 ms, per step time: 487.489 ms
- ============== Starting Testing ==============
- epoch time: 609527.182 ms, per step time: 487.232 ms
- ============== Starting Testing ==============
- ============== result:{'loss': 1.7597387127387218, 'acc': 0.8008012820512821}, use_time:86.93158507347107 ==============
- The best acc is 0.8013822115384616
- ============== result:{'loss': 1.7617368542231047, 'acc': 0.8002003205128205}, use_time:87.03404426574707 ==============
- The best acc is 0.8007411858974359
- ============== result:{'acc': 0.8000801282051282, 'loss': 1.7604954316065862}, use_time:87.15997195243835 ==============
- The best acc is 0.8003004807692308
- ============== result:{'loss': 1.7576981150186979, 'acc': 0.8008613782051283}, use_time:87.30145525932312 ==============
- =================save checkpoint....====================
- ============== result:{'acc': 0.8006209935897436, 'loss': 1.7595549549811926}, use_time:88.29504942893982 ==============
- The best acc is 0.8011217948717949
- ============== result:{'acc': 0.8006209935897436, 'loss': 1.7591115810932256}, use_time:88.57287263870239 ==============
- The best acc is 0.8007011217948717
- ============== result:{'acc': 0.8006209935897436, 'loss': 1.759834929001637}, use_time:88.83290696144104 ==============
- The best acc is 0.8011418269230769
- ============== result:{'acc': 0.8003405448717948, 'loss': 1.760012250374525}, use_time:89.07081627845764 ==============
- The best acc is 0.8010817307692307
- ==============save checkpoint finished===================
- The best acc is 0.8008613782051283
- epoch: 14 step: 1251, loss is 1.7182734epoch: 14 step: 1251, loss is 1.7467917
- epoch: 14 step: 1251, loss is 1.5965419epoch: 14 step: 1251, loss is 1.7754366
-
- epoch: 14 step: 1251, loss is 1.5157158
- epoch: 14 step: 1251, loss is 1.7004187
-
- epoch: 14 step: 1251, loss is 1.7968305
- epoch time: 615032.619 ms, per step time: 491.633 ms
- ============== Starting Testing ==============
- epoch time: 613743.573 ms, per step time: 490.602 ms
- ============== Starting Testing ==============epoch time: 614902.930 ms, per step time: 491.529 msepoch time: 613234.648 ms, per step time: 490.196 msepoch time: 615132.610 ms, per step time: 491.713 ms
-
- ============== Starting Testing ==============
-
- epoch time: 612996.323 ms, per step time: 490.005 ms
-
- ============== Starting Testing ==============
- ============== Starting Testing ==============
- ============== Starting Testing ==============epoch time: 613480.652 ms, per step time: 490.392 ms
- ============== Starting Testing ==============
-
- epoch: 14 step: 1251, loss is 1.8897071
- epoch time: 607324.957 ms, per step time: 485.472 ms
- ============== Starting Testing ==============
- ============== result:{'acc': 0.7986177884615384, 'loss': 1.7640611214515491}, use_time:86.46777391433716 ==============
- The best acc is 0.8003004807692308
- ============== result:{'loss': 1.7627543015357776, 'acc': 0.7987379807692307}, use_time:86.91916370391846 ==============
- The best acc is 0.8013822115384616
- ============== result:{'loss': 1.7670770859106992, 'acc': 0.7974959935897435}, use_time:87.1408371925354 ==============
- The best acc is 0.8008613782051283
- ============== result:{'loss': 1.765360955397288, 'acc': 0.7984775641025641}, use_time:87.57678389549255 ==============
- The best acc is 0.8007411858974359
- ============== result:{'acc': 0.798457532051282, 'loss': 1.7646792362897823}, use_time:88.02380442619324 ==============
- The best acc is 0.8011418269230769
- ============== result:{'acc': 0.7989383012820512, 'loss': 1.7634459290748987}, use_time:88.04565668106079 ==============
- The best acc is 0.8007011217948717
- ============== result:{'acc': 0.7987179487179488, 'loss': 1.7619667285527938}, use_time:89.0860812664032 ==============
- The best acc is 0.8010817307692307
- ============== result:{'acc': 0.7987580128205128, 'loss': 1.7624200759789883}, use_time:89.51849317550659 ==============
- The best acc is 0.8011217948717949
- epoch: 15 step: 1251, loss is 1.8780515epoch: 15 step: 1251, loss is 1.8010131
- epoch: 15 step: 1251, loss is 1.759901epoch: 15 step: 1251, loss is 1.5626934
-
- epoch: 15 step: 1251, loss is 1.7459879
-
- epoch: 15 step: 1251, loss is 1.5944037
- epoch time: 610048.153 ms, per step time: 487.648 ms
- ============== Starting Testing ==============
- epoch time: 607731.764 ms, per step time: 485.797 ms
- epoch time: 609676.775 ms, per step time: 487.352 ms
- ============== Starting Testing ==============
- epoch time: 608162.811 ms, per step time: 486.141 ms============== Starting Testing ==============
- epoch time: 609201.654 ms, per step time: 486.972 ms
- ============== Starting Testing ==============
-
- epoch time: 609226.423 ms, per step time: 486.992 ms============== Starting Testing ==============
- ============== Starting Testing ==============
-
- epoch: 15 step: 1251, loss is 1.6117136
- epoch: 15 step: 1251, loss is 1.6611764
- epoch time: 610823.799 ms, per step time: 488.268 ms
- ============== Starting Testing ==============
- epoch time: 610370.988 ms, per step time: 487.906 ms
- ============== Starting Testing ==============
- ============== result:{'loss': 1.761375300395183, 'acc': 0.7985376602564103}, use_time:86.36298871040344 ==============
- The best acc is 0.8013822115384616
- ============== result:{'loss': 1.7624427208533653, 'acc': 0.7974559294871795}, use_time:86.55245208740234 ==============
- The best acc is 0.8007411858974359
- ============== result:{'loss': 1.7636628514681107, 'acc': 0.7977363782051282}, use_time:87.34304594993591 ==============
- The best acc is 0.8008613782051283
- ============== result:{'acc': 0.7978766025641025, 'loss': 1.7607344049673814}, use_time:87.52024412155151 ==============
- The best acc is 0.8003004807692308
- ============== result:{'acc': 0.7981169871794872, 'loss': 1.7634909969109756}, use_time:88.45552372932434 ==============
- The best acc is 0.8011217948717949
- ============== result:{'acc': 0.7985977564102564, 'loss': 1.7604604607973344}, use_time:88.56817698478699 ==============
- The best acc is 0.8007011217948717
- ============== result:{'acc': 0.7978766025641025, 'loss': 1.762297984575614}, use_time:89.2612624168396 ==============
- The best acc is 0.8011418269230769
- ============== result:{'acc': 0.7986578525641026, 'loss': 1.7606121980226956}, use_time:89.55758047103882 ==============
- The best acc is 0.8010817307692307
- epoch: 16 step: 1251, loss is 1.7201152
- epoch: 16 step: 1251, loss is 1.8440576
- epoch: 16 step: 1251, loss is 1.604166epoch: 16 step: 1251, loss is 1.7380979
-
- epoch: 16 step: 1251, loss is 1.6077762
- epoch: 16 step: 1251, loss is 1.9114418epoch: 16 step: 1251, loss is 1.6318564
- epoch time: 607922.673 ms, per step time: 485.949 ms
- ============== Starting Testing ==============
- epoch time: 609026.330 ms, per step time: 486.832 msepoch time: 611071.313 ms, per step time: 488.466 ms
- ============== Starting Testing ==============
-
- ============== Starting Testing ==============
- epoch time: 610936.747 ms, per step time: 488.359 msepoch time: 610148.216 ms, per step time: 487.728 ms
-
- ============== Starting Testing ==============
- ============== Starting Testing ==============
- epoch time: 608230.684 ms, per step time: 486.196 ms
- ============== Starting Testing ==============
- epoch: 16 step: 1251, loss is 1.6897006
-
- epoch time: 609983.464 ms, per step time: 487.597 ms
- ============== Starting Testing ==============
- epoch time: 608982.788 ms, per step time: 486.797 ms
- ============== Starting Testing ==============
- ============== result:{'loss': 1.7615775771630116, 'acc': 0.7996995192307692}, use_time:85.44651770591736 ==============
- The best acc is 0.8013822115384616
- ============== result:{'loss': 1.759695053100586, 'acc': 0.7987580128205128}, use_time:87.47291278839111 ==============
- The best acc is 0.8008613782051283
- ============== result:{'loss': 1.7619566758473715, 'acc': 0.7993790064102564}, use_time:87.85764217376709 ==============
- The best acc is 0.8007411858974359
- ============== result:{'acc': 0.798838141025641, 'loss': 1.7635603268941245}, use_time:87.87221550941467 ==============
- The best acc is 0.8003004807692308
- ============== result:{'acc': 0.7992988782051282, 'loss': 1.7611325233410566}, use_time:88.21500086784363 ==============
- The best acc is 0.8007011217948717
- ============== result:{'acc': 0.7995592948717949, 'loss': 1.7618452836305667}, use_time:88.40030527114868 ==============
- The best acc is 0.8010817307692307
- ============== result:{'acc': 0.7998597756410256, 'loss': 1.7616534401208928}, use_time:88.457350730896 ==============
- The best acc is 0.8011418269230769
- ============== result:{'acc': 0.79921875, 'loss': 1.7630257771565363}, use_time:89.50682616233826 ==============
- The best acc is 0.8011217948717949
- epoch: 17 step: 1251, loss is 1.8981514
- epoch: 17 step: 1251, loss is 1.6768868epoch: 17 step: 1251, loss is 1.770263
- epoch: 17 step: 1251, loss is 1.6682647epoch: 17 step: 1251, loss is 1.6212813
-
-
- epoch: 17 step: 1251, loss is 1.6016245
- epoch: 17 step: 1251, loss is 1.8812925
- epoch time: 609526.063 ms, per step time: 487.231 msepoch time: 609596.164 ms, per step time: 487.287 ms
- ============== Starting Testing ==============
- ============== Starting Testing ==============
-
- epoch time: 608991.204 ms, per step time: 486.804 msepoch time: 609170.370 ms, per step time: 486.947 ms
-
- ============== Starting Testing ==============
- epoch time: 612016.146 ms, per step time: 489.222 ms============== Starting Testing ==============
- ============== Starting Testing ==============
-
- epoch: 17 step: 1251, loss is 1.8674612
- epoch time: 609988.089 ms, per step time: 487.600 ms
- ============== Starting Testing ==============
- epoch time: 607963.637 ms, per step time: 485.982 ms
- ============== Starting Testing ==============
- epoch time: 609084.850 ms, per step time: 486.878 ms
- ============== Starting Testing ==============
- ============== result:{'loss': 1.7644517788520226, 'acc': 0.801161858974359}, use_time:86.59181690216064 ==============
- =================save checkpoint....====================
- ============== result:{'acc': 0.8006610576923077, 'loss': 1.7624812346238357}, use_time:86.95412945747375 ==============
- =================save checkpoint....====================
- ============== result:{'loss': 1.7647688694489307, 'acc': 0.8003605769230769}, use_time:87.21124935150146 ==============
- The best acc is 0.8013822115384616
- ============== result:{'loss': 1.763463992644579, 'acc': 0.7996995192307692}, use_time:87.41363787651062 ==============
- The best acc is 0.8008613782051283
- ============== result:{'acc': 0.8000400641025641, 'loss': 1.7622209848501744}, use_time:88.14441537857056 ==============
- The best acc is 0.8007011217948717
- ============== result:{'acc': 0.7999198717948718, 'loss': 1.7675983474804804}, use_time:88.77889895439148 ==============
- The best acc is 0.8010817307692307
- ============== result:{'acc': 0.8004407051282051, 'loss': 1.7630713196901175}, use_time:88.94167685508728 ==============
- The best acc is 0.8011418269230769
- ============== result:{'acc': 0.7995793269230769, 'loss': 1.7640171732657994}, use_time:89.06166982650757 ==============
- The best acc is 0.8011217948717949
- ==============save checkpoint finished===================
- The best acc is 0.801161858974359
- ==============save checkpoint finished===================
- The best acc is 0.8006610576923077
- epoch: 18 step: 1251, loss is 1.6966002
- epoch: 18 step: 1251, loss is 1.7561064
- epoch: 18 step: 1251, loss is 1.5279984epoch: 18 step: 1251, loss is 1.7658093
- epoch: 18 step: 1251, loss is 1.5394934epoch: 18 step: 1251, loss is 1.7298253
-
-
- epoch: 18 step: 1251, loss is 1.7444838
- epoch time: 607990.614 ms, per step time: 486.004 ms
- ============== Starting Testing ==============
- epoch time: 608029.694 ms, per step time: 486.035 ms
- ============== Starting Testing ==============
- epoch time: 613544.035 ms, per step time: 490.443 ms
- ============== Starting Testing ==============
- epoch time: 611892.008 ms, per step time: 489.122 ms
- ============== Starting Testing ==============epoch time: 612022.570 ms, per step time: 489.227 ms
-
- ============== Starting Testing ==============
- epoch time: 612167.389 ms, per step time: 489.342 ms
- ============== Starting Testing ==============
- epoch time: 613756.806 ms, per step time: 490.613 ms
- ============== Starting Testing ==============
- epoch: 18 step: 1251, loss is 1.5956429
- epoch time: 612850.591 ms, per step time: 489.889 ms
- ============== Starting Testing ==============
- ============== result:{'loss': 1.7563698414044502, 'acc': 0.7991786858974359}, use_time:86.38065910339355 ==============
- The best acc is 0.8013822115384616
- ============== result:{'loss': 1.7559931036753533, 'acc': 0.7997195512820513}, use_time:87.76216959953308 ==============
- The best acc is 0.801161858974359
- ============== result:{'acc': 0.7991185897435897, 'loss': 1.7566938412495148}, use_time:88.09426498413086 ==============
- The best acc is 0.8007011217948717
- ============== result:{'loss': 1.75667648712794, 'acc': 0.7996594551282051}, use_time:88.21335411071777 ==============
- The best acc is 0.8008613782051283
- ============== result:{'acc': 0.7986979166666667, 'loss': 1.7579272056237245}, use_time:88.38735890388489 ==============
- The best acc is 0.8006610576923077
- ============== result:{'acc': 0.7989383012820512, 'loss': 1.7567077000935873}, use_time:88.68841052055359 ==============
- The best acc is 0.8011418269230769
- ============== result:{'acc': 0.7994991987179487, 'loss': 1.75587376111593}, use_time:89.98089218139648 ==============
- The best acc is 0.8010817307692307
- ============== result:{'acc': 0.7987580128205128, 'loss': 1.7553378111276872}, use_time:90.19340944290161 ==============
- The best acc is 0.8011217948717949
- epoch: 19 step: 1251, loss is 1.7259117
- epoch: 19 step: 1251, loss is 1.7006664
- epoch: 19 step: 1251, loss is 1.7092758epoch: 19 step: 1251, loss is 1.7052733
- epoch: 19 step: 1251, loss is 1.5918169
- epoch: 19 step: 1251, loss is 1.8648422epoch: 19 step: 1251, loss is 1.6931131
-
- epoch: 19 step: 1251, loss is 1.7398599
-
- epoch time: 610441.438 ms, per step time: 487.963 ms
- ============== Starting Testing ==============
- epoch time: 610136.393 ms, per step time: 487.719 ms
- ============== Starting Testing ==============
- epoch time: 611067.914 ms, per step time: 488.464 ms
- ============== Starting Testing ==============
- epoch time: 608844.480 ms, per step time: 486.686 ms
- ============== Starting Testing ==============epoch time: 608633.649 ms, per step time: 486.518 ms
-
- epoch time: 610619.659 ms, per step time: 488.105 ms============== Starting Testing ==============
-
- ============== Starting Testing ==============
- epoch time: 612447.610 ms, per step time: 489.566 msepoch time: 610709.985 ms, per step time: 488.177 ms
- ============== Starting Testing ==============
-
- ============== Starting Testing ==============
- ============== result:{'acc': 0.8003004807692308, 'loss': 1.7594598250511364}, use_time:83.41697525978088 ==============
- The best acc is 0.8010817307692307
- ============== result:{'loss': 1.756632882815141, 'acc': 0.8010216346153847}, use_time:86.46834182739258 ==============
- The best acc is 0.801161858974359
- ============== result:{'loss': 1.7544492354759804, 'acc': 0.8013621794871795}, use_time:86.55435061454773 ==============
- The best acc is 0.8013822115384616
- ============== result:{'acc': 0.800020032051282, 'loss': 1.7580225168130337}, use_time:87.32341074943542 ==============
- The best acc is 0.8006610576923077
- ============== result:{'loss': 1.7585563659667969, 'acc': 0.8005408653846153}, use_time:87.42553567886353 ==============
- The best acc is 0.8008613782051283
- ============== result:{'acc': 0.8003004807692308, 'loss': 1.758049054023547}, use_time:88.32808351516724 ==============
- The best acc is 0.8007011217948717
- ============== result:{'acc': 0.8004206730769231, 'loss': 1.7565215193308317}, use_time:88.5462417602539 ==============
- The best acc is 0.8011217948717949
- ============== result:{'acc': 0.8007011217948717, 'loss': 1.7583702720128573}, use_time:88.67698955535889 ==============
- The best acc is 0.8011418269230769
- epoch: 20 step: 1251, loss is 1.912946
- epoch: 20 step: 1251, loss is 1.6595516
- epoch: 20 step: 1251, loss is 1.8210721epoch: 20 step: 1251, loss is 1.632056
- epoch: 20 step: 1251, loss is 1.6604289
-
- epoch: 20 step: 1251, loss is 1.69314
- epoch time: 610148.823 ms, per step time: 487.729 ms
- ============== Starting Testing ==============
- epoch time: 609188.809 ms, per step time: 486.961 msepoch: 20 step: 1251, loss is 1.8731747epoch time: 613200.355 ms, per step time: 490.168 ms
- ============== Starting Testing ==============
- epoch time: 610060.419 ms, per step time: 487.658 ms
-
-
- ============== Starting Testing ============================ Starting Testing ==============
-
- epoch time: 607951.679 ms, per step time: 485.973 msepoch time: 609307.643 ms, per step time: 487.056 ms
- ============== Starting Testing ==============
-
- ============== Starting Testing ==============
- epoch: 20 step: 1251, loss is 1.7958572
- epoch time: 608302.619 ms, per step time: 486.253 ms
- ============== Starting Testing ==============
- epoch time: 608104.127 ms, per step time: 486.094 ms
- ============== Starting Testing ==============
- ============== result:{'loss': 1.762835675630814, 'acc': 0.8007011217948717}, use_time:86.48041939735413 ==============
- The best acc is 0.8013822115384616
- ============== result:{'loss': 1.7605898710397574, 'acc': 0.8012419871794871}, use_time:87.29402470588684 ==============
- =================save checkpoint....====================
- ============== result:{'acc': 0.8010817307692307, 'loss': 1.7625406849078642}, use_time:87.40895485877991 ==============
- =================save checkpoint....====================
- ============== result:{'loss': 1.7627307317195795, 'acc': 0.8002804487179487}, use_time:87.7943742275238 ==============
- The best acc is 0.801161858974359
- ============== result:{'acc': 0.8008613782051283, 'loss': 1.7603739811823917}, use_time:87.87891149520874 ==============
- =================save checkpoint....====================
- ============== result:{'acc': 0.8013421474358975, 'loss': 1.763340614697872}, use_time:88.55669379234314 ==============
- =================save checkpoint....====================
- ============== result:{'acc': 0.8009214743589743, 'loss': 1.761046359172234}, use_time:89.56737685203552 ==============
- The best acc is 0.8010817307692307
- ============== result:{'acc': 0.8006009615384615, 'loss': 1.7639993089895982}, use_time:89.87382245063782 ==============
- The best acc is 0.8011217948717949
- ==============save checkpoint finished===================
- The best acc is 0.8012419871794871
- ==============save checkpoint finished===================
- The best acc is 0.8008613782051283
- ==============save checkpoint finished===================
- The best acc is 0.8010817307692307
- ==============save checkpoint finished===================
- The best acc is 0.8013421474358975
- epoch: 21 step: 1251, loss is 1.5482287
- epoch: 21 step: 1251, loss is 1.6259203epoch: 21 step: 1251, loss is 1.7315271epoch: 21 step: 1251, loss is 1.6558003
-
-
- epoch: 21 step: 1251, loss is 1.5232784epoch: 21 step: 1251, loss is 1.8166966
-
- epoch: 21 step: 1251, loss is 1.878374
- epoch: 21 step: 1251, loss is 1.8920696
- epoch time: 608109.959 ms, per step time: 486.099 ms
- ============== Starting Testing ==============
- epoch time: 614112.201 ms, per step time: 490.897 ms
- ============== Starting Testing ==============
- epoch time: 607688.369 ms, per step time: 485.762 msepoch time: 612336.851 ms, per step time: 489.478 ms
-
- ============== Starting Testing ==============
- ============== Starting Testing ==============epoch time: 608275.631 ms, per step time: 486.232 ms
-
- ============== Starting Testing ==============
- epoch time: 611999.147 ms, per step time: 489.208 ms
- ============== Starting Testing ==============
- epoch time: 608152.141 ms, per step time: 486.133 ms
- ============== Starting Testing ==============
- epoch time: 615429.408 ms, per step time: 491.950 ms
- ============== Starting Testing ==============
- ============== result:{'loss': 1.765161162767655, 'acc': 0.7995392628205128}, use_time:78.08598494529724 ==============
- The best acc is 0.8013822115384616
- ============== result:{'loss': 1.762561656267215, 'acc': 0.7997195512820513}, use_time:86.78879070281982 ==============
- The best acc is 0.801161858974359
- ============== result:{'acc': 0.7994190705128205, 'loss': 1.7638789870800116}, use_time:87.56944870948792 ==============
- The best acc is 0.8008613782051283
- ============== result:{'acc': 0.8001802884615384, 'loss': 1.764732267612066}, use_time:88.20163106918335 ==============
- The best acc is 0.8010817307692307
- ============== result:{'acc': 0.7994190705128205, 'loss': 1.7651755060905066}, use_time:88.38647985458374 ==============
- The best acc is 0.8011217948717949
- ============== result:{'acc': 0.7988581730769231, 'loss': 1.7655662261522733}, use_time:88.44837498664856 ==============
- The best acc is 0.8013421474358975
- ============== result:{'loss': 1.7655505400437574, 'acc': 0.7994991987179487}, use_time:88.56646394729614 ==============
- The best acc is 0.8012419871794871
- ============== result:{'acc': 0.7993790064102564, 'loss': 1.7621209636712685}, use_time:89.31195282936096 ==============
- The best acc is 0.8010817307692307
- epoch: 22 step: 1251, loss is 2.1165948epoch: 22 step: 1251, loss is 1.7517108epoch: 22 step: 1251, loss is 1.714503
-
-
- epoch: 22 step: 1251, loss is 1.6817448
- epoch: 22 step: 1251, loss is 1.6231725epoch: 22 step: 1251, loss is 1.7620366
-
- epoch: 22 step: 1251, loss is 1.7305651epoch time: 609492.887 ms, per step time: 487.205 ms
- ============== Starting Testing ==============
- epoch time: 606969.687 ms, per step time: 485.188 ms
- ============== Starting Testing ==============
- epoch time: 607715.451 ms, per step time: 485.784 msepoch time: 608084.616 ms, per step time: 486.079 ms
- ============== Starting Testing ==============
-
- epoch time: 607894.768 ms, per step time: 485.927 ms============== Starting Testing ==============
-
- ============== Starting Testing ==============
- epoch time: 608710.112 ms, per step time: 486.579 ms
- ============== Starting Testing ==============
- epoch: 22 step: 1251, loss is 1.8793992
-
- epoch time: 618234.077 ms, per step time: 494.192 ms
- ============== Starting Testing ==============
- epoch time: 607897.746 ms, per step time: 485.929 ms
- ============== Starting Testing ==============
- ============== result:{'loss': 1.7608344634373982, 'acc': 0.8008613782051283}, use_time:86.80077862739563 ==============
- The best acc is 0.8013822115384616
- ============== result:{'loss': 1.7596453489401402, 'acc': 0.8008213141025641}, use_time:87.47583031654358 ==============
- The best acc is 0.801161858974359
- ============== result:{'acc': 0.8004607371794872, 'loss': 1.7599761174275326}, use_time:87.97296047210693 ==============
- The best acc is 0.8010817307692307
- ============== result:{'acc': 0.8005809294871795, 'loss': 1.7598203964722463}, use_time:88.02939462661743 ==============
- The best acc is 0.8008613782051283
- ============== result:{'loss': 1.7564389711771256, 'acc': 0.8008413461538462}, use_time:88.05069518089294 ==============
- The best acc is 0.8012419871794871
- ============== result:{'acc': 0.8005408653846153, 'loss': 1.7595595252819551}, use_time:88.14267253875732 ==============
- The best acc is 0.8013421474358975
- ============== result:{'acc': 0.8008613782051283, 'loss': 1.7615000339654776}, use_time:89.00949764251709 ==============
- The best acc is 0.8010817307692307
- ============== result:{'acc': 0.8007612179487179, 'loss': 1.760326229303311}, use_time:89.501473903656 ==============
- The best acc is 0.8011217948717949
- epoch: 23 step: 1251, loss is 1.6097283
- epoch: 23 step: 1251, loss is 1.6248842epoch: 23 step: 1251, loss is 1.8036008
- epoch: 23 step: 1251, loss is 1.9029498
-
- epoch: 23 step: 1251, loss is 1.7000166
- epoch: 23 step: 1251, loss is 1.7511661epoch: 23 step: 1251, loss is 1.8188326
-
- epoch time: 609794.715 ms, per step time: 487.446 ms
- ============== Starting Testing ==============
- epoch time: 609720.293 ms, per step time: 487.386 ms
- epoch time: 610918.024 ms, per step time: 488.344 ms============== Starting Testing ==============
-
- ============== Starting Testing ==============epoch time: 610299.831 ms, per step time: 487.850 msepoch time: 608764.915 ms, per step time: 486.623 msepoch time: 609565.963 ms, per step time: 487.263 ms
-
- ============== Starting Testing ==============
-
- ============== Starting Testing ==============
-
- epoch time: 608272.339 ms, per step time: 486.229 ms============== Starting Testing ==============
- ============== Starting Testing ==============
-
- epoch: 23 step: 1251, loss is 1.7775298
- epoch time: 609775.680 ms, per step time: 487.431 ms
- ============== Starting Testing ==============
- ============== result:{'loss': 1.7555698856329307, 'acc': 0.8020032051282051}, use_time:86.41113901138306 ==============
- =================save checkpoint....====================
- ============== result:{'loss': 1.7573776504932306, 'acc': 0.8011217948717949}, use_time:86.48589849472046 ==============
- The best acc is 0.801161858974359
- ============== result:{'acc': 0.8018830128205128, 'loss': 1.7573654419336564}, use_time:87.70782113075256 ==============
- =================save checkpoint....====================
- ============== result:{'loss': 1.7600737635905925, 'acc': 0.8009014423076923}, use_time:88.07861161231995 ==============
- The best acc is 0.8012419871794871
- ============== result:{'acc': 0.8010817307692307, 'loss': 1.7608146698046954}, use_time:88.7639377117157 ==============
- The best acc is 0.8013421474358975
- ============== result:{'acc': 0.8015224358974359, 'loss': 1.757612519692152}, use_time:88.91185784339905 ==============
- =================save checkpoint....====================
- ============== result:{'acc': 0.8012219551282052, 'loss': 1.7600151227070735}, use_time:89.13388705253601 ==============
- =================save checkpoint....====================
- ==============save checkpoint finished===================
- The best acc is 0.8020032051282051
- ============== result:{'acc': 0.8013421474358975, 'loss': 1.7583576697569627}, use_time:89.71957087516785 ==============
- =================save checkpoint....====================
- ==============save checkpoint finished===================
- The best acc is 0.8018830128205128
- ==============save checkpoint finished===================
- The best acc is 0.8012219551282052
- ==============save checkpoint finished===================
- The best acc is 0.8013421474358975
- ==============save checkpoint finished===================
- The best acc is 0.8015224358974359
- epoch: 24 step: 1251, loss is 1.7131491
- epoch: 24 step: 1251, loss is 1.7268801
- epoch: 24 step: 1251, loss is 1.5523124epoch: 24 step: 1251, loss is 1.6535271
-
- epoch: 24 step: 1251, loss is 1.7069806
- epoch: 24 step: 1251, loss is 1.6064639
- epoch: 24 step: 1251, loss is 1.8287907
- epoch time: 614768.859 ms, per step time: 491.422 msepoch time: 608007.308 ms, per step time: 486.017 ms
- ============== Starting Testing ==============
-
- ============== Starting Testing ==============
- epoch time: 613182.124 ms, per step time: 490.154 ms
- ============== Starting Testing ==============epoch time: 612497.461 ms, per step time: 489.606 msepoch time: 611652.969 ms, per step time: 488.931 ms
- ============== Starting Testing ==============
- epoch time: 610452.951 ms, per step time: 487.972 ms
-
- ============== Starting Testing ==============
-
- ============== Starting Testing ==============
- epoch time: 608639.717 ms, per step time: 486.523 ms
- ============== Starting Testing ==============
- epoch: 24 step: 1251, loss is 1.662494
- epoch time: 608947.883 ms, per step time: 486.769 ms
- ============== Starting Testing ==============
- ============== result:{'acc': 0.7987580128205128, 'loss': 1.767171587699499}, use_time:86.97363328933716 ==============
- The best acc is 0.8013421474358975
- ============== result:{'loss': 1.762930152966426, 'acc': 0.8000600961538461}, use_time:87.27781558036804 ==============
- The best acc is 0.8020032051282051
- ============== result:{'acc': 0.8002604166666667, 'loss': 1.7625010799138974}, use_time:87.30944633483887 ==============
- The best acc is 0.8015224358974359
- ============== result:{'acc': 0.7993189102564102, 'loss': 1.7638601917486925}, use_time:87.72241306304932 ==============
- The best acc is 0.8018830128205128
- ============== result:{'loss': 1.7626716039119623, 'acc': 0.800020032051282}, use_time:87.76686882972717 ==============
- The best acc is 0.801161858974359
- ============== result:{'acc': 0.7993790064102564, 'loss': 1.765150347734109}, use_time:87.85250234603882 ==============
- The best acc is 0.8013421474358975
- ============== result:{'loss': 1.7597274731367063, 'acc': 0.8003004807692308}, use_time:88.45011305809021 ==============
- The best acc is 0.8012419871794871
- ============== result:{'acc': 0.8008613782051283, 'loss': 1.7613254259794187}, use_time:89.73034501075745 ==============
- The best acc is 0.8012219551282052
- epoch: 25 step: 1251, loss is 1.5396655
- epoch: 25 step: 1251, loss is 1.7596906epoch: 25 step: 1251, loss is 1.5499191
-
- epoch: 25 step: 1251, loss is 1.6181488epoch: 25 step: 1251, loss is 1.6034658
-
- epoch: 25 step: 1251, loss is 1.8127108
- epoch: 25 step: 1251, loss is 1.7534585
- epoch time: 611249.915 ms, per step time: 488.609 ms
- epoch time: 608765.455 ms, per step time: 486.623 ms
- ============== Starting Testing ==============
- epoch time: 610702.172 ms, per step time: 488.171 ms============== Starting Testing ==============
- ============== Starting Testing ==============
-
- epoch time: 610109.235 ms, per step time: 487.697 ms
- ============== Starting Testing ==============
- epoch time: 610798.496 ms, per step time: 488.248 ms
- ============== Starting Testing ==============
- epoch time: 610838.794 ms, per step time: 488.280 msepoch time: 611282.164 ms, per step time: 488.635 ms
-
- ============== Starting Testing ==============
- ============== Starting Testing ==============
- epoch: 25 step: 1251, loss is 1.7395123
- epoch time: 611615.508 ms, per step time: 488.901 ms
- ============== Starting Testing ==============
- ============== result:{'loss': 1.761420369759584, 'acc': 0.8009815705128205}, use_time:86.31122303009033 ==============
- The best acc is 0.8020032051282051
- ============== result:{'loss': 1.760223477620345, 'acc': 0.8010616987179487}, use_time:86.46816778182983 ==============
- The best acc is 0.801161858974359
- ============== result:{'loss': 1.7629771819481483, 'acc': 0.8012019230769231}, use_time:87.61777806282043 ==============
- The best acc is 0.8012419871794871
- ============== result:{'acc': 0.8009014423076923, 'loss': 1.760577504757123}, use_time:87.87678980827332 ==============
- The best acc is 0.8018830128205128
- ============== result:{'acc': 0.8009815705128205, 'loss': 1.7610865158912463}, use_time:87.98058557510376 ==============
- The best acc is 0.8015224358974359
- ============== result:{'acc': 0.8009214743589743, 'loss': 1.7602026444215042}, use_time:88.24031066894531 ==============
- The best acc is 0.8013421474358975
- ============== result:{'acc': 0.8007011217948717, 'loss': 1.760353895639762}, use_time:88.31438302993774 ==============
- The best acc is 0.8012219551282052
- ============== result:{'acc': 0.8007612179487179, 'loss': 1.760659144169245}, use_time:89.36768007278442 ==============
- The best acc is 0.8013421474358975
- epoch: 26 step: 1251, loss is 1.7025928epoch: 26 step: 1251, loss is 1.717932
- epoch: 26 step: 1251, loss is 1.554364
- epoch: 26 step: 1251, loss is 1.7703001
-
- epoch: 26 step: 1251, loss is 1.6274818epoch: 26 step: 1251, loss is 1.7349524
-
- epoch: 26 step: 1251, loss is 1.8149487
- epoch: 26 step: 1251, loss is 1.6807628
- epoch time: 609259.063 ms, per step time: 487.018 ms
- ============== Starting Testing ==============
- epoch time: 609333.570 ms, per step time: 487.077 msepoch time: 608166.624 ms, per step time: 486.144 msepoch time: 609687.104 ms, per step time: 487.360 msepoch time: 611256.240 ms, per step time: 488.614 ms
-
-
- ============== Starting Testing ============================ Starting Testing ==============
- epoch time: 609954.602 ms, per step time: 487.574 ms============== Starting Testing ==============
-
-
- ============== Starting Testing ==============
-
- ============== Starting Testing ==============
- epoch time: 609598.799 ms, per step time: 487.289 ms
- ============== Starting Testing ==============epoch time: 611110.860 ms, per step time: 488.498 ms
-
- ============== Starting Testing ==============
- ============== result:{'acc': 0.7987780448717948, 'loss': 1.7681704597595411}, use_time:84.20494866371155 ==============
- The best acc is 0.8015224358974359
- ============== result:{'loss': 1.7681539245140858, 'acc': 0.7983173076923077}, use_time:87.09028244018555 ==============
- The best acc is 0.801161858974359
- ============== result:{'loss': 1.7677274600053445, 'acc': 0.7982171474358974}, use_time:87.63286590576172 ==============
- The best acc is 0.8020032051282051
- ============== result:{'acc': 0.7982972756410256, 'loss': 1.7674875308305789}, use_time:87.88340592384338 ==============
- The best acc is 0.8018830128205128
- ============== result:{'acc': 0.798056891025641, 'loss': 1.7665917845872732}, use_time:88.60052585601807 ==============
- The best acc is 0.8013421474358975
- ============== result:{'acc': 0.7975560897435897, 'loss': 1.7709946094415128}, use_time:88.96415686607361 ==============
- The best acc is 0.8013421474358975
- ============== result:{'loss': 1.7675593654314676, 'acc': 0.7978365384615385}, use_time:89.13988876342773 ==============
- The best acc is 0.8012419871794871
- ============== result:{'acc': 0.7976161858974359, 'loss': 1.7692716907232235}, use_time:89.89592242240906 ==============
- The best acc is 0.8012219551282052
- epoch: 27 step: 1251, loss is 1.717313
- epoch: 27 step: 1251, loss is 1.7010322
- epoch: 27 step: 1251, loss is 1.7122023epoch: 27 step: 1251, loss is 1.7401183epoch: 27 step: 1251, loss is 1.8348353
- epoch: 27 step: 1251, loss is 1.6023483epoch: 27 step: 1251, loss is 1.759281
-
-
-
- epoch: 27 step: 1251, loss is 1.6979085
- epoch time: 611045.542 ms, per step time: 488.446 ms
- epoch time: 613931.794 ms, per step time: 490.753 ms============== Starting Testing ==============
-
- ============== Starting Testing ==============
- epoch time: 610511.273 ms, per step time: 488.019 ms
- ============== Starting Testing ==============
- epoch time: 609183.223 ms, per step time: 486.957 msepoch time: 609546.410 ms, per step time: 487.247 ms
- ============== Starting Testing ==============
-
- ============== Starting Testing ==============
- epoch time: 610266.133 ms, per step time: 487.823 msepoch time: 608256.932 ms, per step time: 486.217 ms
- ============== Starting Testing ==============
-
- epoch time: 609019.207 ms, per step time: 486.826 ms
- ============== Starting Testing ==============
- ============== Starting Testing ==============
- ============== result:{'loss': 1.7650431257027845, 'acc': 0.8008613782051283}, use_time:86.6307225227356 ==============
- The best acc is 0.8020032051282051
- ============== result:{'loss': 1.7621913604247263, 'acc': 0.8015625}, use_time:87.03491234779358 ==============
- =================save checkpoint....====================
- ============== result:{'acc': 0.8006410256410257, 'loss': 1.7649126713092511}, use_time:88.1877965927124 ==============
- The best acc is 0.8018830128205128
- ============== result:{'acc': 0.8012419871794871, 'loss': 1.763818793113415}, use_time:88.31890344619751 ==============
- The best acc is 0.8015224358974359
- ============== result:{'loss': 1.7619109297410036, 'acc': 0.8012820512820513}, use_time:88.35706400871277 ==============
- =================save checkpoint....====================
- ============== result:{'acc': 0.8013822115384616, 'loss': 1.765717700505868}, use_time:88.64400935173035 ==============
- =================save checkpoint....====================
- ============== result:{'acc': 0.8002804487179487, 'loss': 1.7639311750729878}, use_time:88.70919680595398 ==============
- The best acc is 0.8013421474358975
- ============== result:{'acc': 0.8015024038461539, 'loss': 1.7611787774623968}, use_time:89.62795972824097 ==============
- =================save checkpoint....====================
- ==============save checkpoint finished===================
- The best acc is 0.8015625
- ==============save checkpoint finished===================
- The best acc is 0.8013822115384616
- ==============save checkpoint finished===================
- The best acc is 0.8012820512820513
- ==============save checkpoint finished===================
- The best acc is 0.8015024038461539
- epoch: 28 step: 1251, loss is 1.8814746
- epoch: 28 step: 1251, loss is 1.7367663epoch: 28 step: 1251, loss is 1.7612848
- epoch: 28 step: 1251, loss is 1.696873
- epoch: 28 step: 1251, loss is 1.7642446
-
- epoch: 28 step: 1251, loss is 1.4815515
- epoch time: 611435.802 ms, per step time: 488.758 ms
- ============== Starting Testing ==============epoch time: 615633.616 ms, per step time: 492.113 ms
-
- ============== Starting Testing ==============
- epoch time: 617322.029 ms, per step time: 493.463 ms
- ============== Starting Testing ==============
- epoch time: 615697.542 ms, per step time: 492.164 ms
- ============== Starting Testing ==============
- epoch time: 609025.469 ms, per step time: 486.831 ms
- ============== Starting Testing ==============
- epoch time: 615249.195 ms, per step time: 491.806 ms
- ============== Starting Testing ==============
- epoch: 28 step: 1251, loss is 1.852668
- epoch: 28 step: 1251, loss is 1.6380451
- epoch time: 608517.501 ms, per step time: 486.425 ms
- ============== Starting Testing ==============
- epoch time: 609224.411 ms, per step time: 486.990 ms
- ============== Starting Testing ==============
- ============== result:{'loss': 1.767084039785923, 'acc': 0.7994591346153846}, use_time:86.5701699256897 ==============
- The best acc is 0.8020032051282051
- ============== result:{'loss': 1.7645691205293705, 'acc': 0.7998998397435897}, use_time:87.41306209564209 ==============
- The best acc is 0.8015625
- ============== result:{'acc': 0.799599358974359, 'loss': 1.767905164987613}, use_time:87.65120577812195 ==============
- The best acc is 0.8018830128205128
- ============== result:{'acc': 0.7996794871794872, 'loss': 1.7645789699676708}, use_time:87.83736753463745 ==============
- The best acc is 0.8013421474358975
- ============== result:{'loss': 1.7617318455989543, 'acc': 0.7997996794871794}, use_time:87.98156762123108 ==============
- The best acc is 0.8012820512820513
- ============== result:{'acc': 0.799639423076923, 'loss': 1.7669681341220171}, use_time:88.35548949241638 ==============
- The best acc is 0.8013822115384616
- ============== result:{'acc': 0.7985977564102564, 'loss': 1.7684583566127678}, use_time:88.78643703460693 ==============
- The best acc is 0.8015224358974359
- ============== result:{'acc': 0.799979967948718, 'loss': 1.7635560964926695}, use_time:88.95640349388123 ==============
- The best acc is 0.8015024038461539
- epoch: 29 step: 1251, loss is 1.8096066
- epoch: 29 step: 1251, loss is 1.6887736
- epoch: 29 step: 1251, loss is 1.6277272
- epoch time: 610750.751 ms, per step time: 488.210 ms
- epoch time: 609479.624 ms, per step time: 487.194 msepoch time: 608540.558 ms, per step time: 486.443 ms
- ============== Starting Testing ==============
-
- ============== Starting Testing ==============
- ============== Starting Testing ==============
- epoch: 29 step: 1251, loss is 1.6687989
- epoch: 29 step: 1251, loss is 1.8061212
- epoch: 29 step: 1251, loss is 1.7283618
- epoch: 29 step: 1251, loss is 1.7947438
- epoch: 29 step: 1251, loss is 1.6915023
- epoch time: 609711.255 ms, per step time: 487.379 msepoch time: 608353.558 ms, per step time: 486.294 ms
-
- ============== Starting Testing ============================ Starting Testing ==============
-
- epoch time: 608950.102 ms, per step time: 486.771 msepoch time: 609383.708 ms, per step time: 487.117 ms
- ============== Starting Testing ==============
-
- ============== Starting Testing ==============
- epoch time: 609968.997 ms, per step time: 487.585 ms
- ============== Starting Testing ==============
- ============== result:{'acc': 0.8001802884615384, 'loss': 1.7635825887704506}, use_time:82.09181141853333 ==============
- The best acc is 0.8015224358974359
- ============== result:{'loss': 1.765806427368751, 'acc': 0.7999399038461539}, use_time:86.00061058998108 ==============
- The best acc is 0.8020032051282051
- ============== result:{'loss': 1.7628213552328256, 'acc': 0.8007011217948717}, use_time:87.45961284637451 ==============
- The best acc is 0.8012820512820513
- ============== result:{'loss': 1.7648091337619685, 'acc': 0.8002203525641025}, use_time:87.76907157897949 ==============
- The best acc is 0.8015625
- ============== result:{'acc': 0.8001402243589744, 'loss': 1.7637957692146302}, use_time:88.389803647995 ==============
- The best acc is 0.8013421474358975
- ============== result:{'acc': 0.8000400641025641, 'loss': 1.7639792717420137}, use_time:88.72853684425354 ==============
- The best acc is 0.8013822115384616
- ============== result:{'acc': 0.8001802884615384, 'loss': 1.7658687093319037}, use_time:89.13024759292603 ==============
- The best acc is 0.8015024038461539
- ============== result:{'acc': 0.80078125, 'loss': 1.7629352321991554}, use_time:89.27357578277588 ==============
- The best acc is 0.8018830128205128
- epoch: 30 step: 1251, loss is 1.70519
- epoch: 30 step: 1251, loss is 1.6667831
- epoch: 30 step: 1251, loss is 1.7356192epoch: 30 step: 1251, loss is 1.6543605
-
- epoch: 30 step: 1251, loss is 1.5689046epoch: 30 step: 1251, loss is 1.7235842epoch: 30 step: 1251, loss is 1.6087209
-
-
- epoch time: 608015.325 ms, per step time: 486.023 msepoch time: 615094.313 ms, per step time: 491.682 ms
-
- epoch time: 609361.433 ms, per step time: 487.099 ms============== Starting Testing ==============
- ============== Starting Testing ==============
- epoch time: 608414.848 ms, per step time: 486.343 ms
- epoch time: 609682.467 ms, per step time: 487.356 ms============== Starting Testing ==============
- epoch time: 611186.431 ms, per step time: 488.558 ms
-
- ============== Starting Testing ============================ Starting Testing ==============
-
-
- epoch time: 607878.474 ms, per step time: 485.914 ms============== Starting Testing ==============
-
- ============== Starting Testing ==============
- epoch: 30 step: 1251, loss is 1.7021523
- epoch time: 608832.113 ms, per step time: 486.676 ms
- ============== Starting Testing ==============
- ============== result:{'loss': 1.764064901914352, 'acc': 0.7998197115384615}, use_time:86.6839439868927 ==============
- The best acc is 0.8015625
- ============== result:{'loss': 1.7665406288244785, 'acc': 0.7995793269230769}, use_time:87.23530721664429 ==============
- The best acc is 0.8020032051282051
- ============== result:{'acc': 0.7991586538461538, 'loss': 1.7670825606737381}, use_time:87.75871396064758 ==============
- The best acc is 0.8015224358974359
- ============== result:{'acc': 0.7994190705128205, 'loss': 1.7682259055284353}, use_time:88.15735101699829 ==============
- The best acc is 0.8018830128205128
- ============== result:{'loss': 1.7677377584653022, 'acc': 0.7987379807692307}, use_time:88.26068234443665 ==============
- The best acc is 0.8012820512820513
- ============== result:{'acc': 0.7988782051282052, 'loss': 1.768380945768112}, use_time:88.64512419700623 ==============
- The best acc is 0.8013421474358975
- ============== result:{'acc': 0.7988581730769231, 'loss': 1.7669090075370593}, use_time:89.42607164382935 ==============
- The best acc is 0.8013822115384616
- ============== result:{'acc': 0.7980769230769231, 'loss': 1.7685110572056892}, use_time:89.86407351493835 ==============
- The best acc is 0.8015024038461539
- epoch: 31 step: 1251, loss is 1.6711465
- epoch: 31 step: 1251, loss is 1.6468269epoch: 31 step: 1251, loss is 1.7965438
- epoch: 31 step: 1251, loss is 1.7903577epoch: 31 step: 1251, loss is 1.8859262epoch: 31 step: 1251, loss is 1.7953415
-
-
-
- epoch time: 610180.028 ms, per step time: 487.754 ms
- ============== Starting Testing ==============
- epoch time: 608511.925 ms, per step time: 486.420 msepoch time: 609677.290 ms, per step time: 487.352 msepoch time: 610700.065 ms, per step time: 488.170 ms
- epoch time: 609260.937 ms, per step time: 487.019 ms============== Starting Testing ==============
-
- epoch time: 608075.745 ms, per step time: 486.072 ms============== Starting Testing ==============
-
-
-
- ============== Starting Testing ==============
- ============== Starting Testing ============================ Starting Testing ==============
-
- epoch: 31 step: 1251, loss is 1.7297511
- epoch: 31 step: 1251, loss is 1.5709481
- epoch time: 609826.027 ms, per step time: 487.471 ms
- ============== Starting Testing ==============
- epoch time: 611328.622 ms, per step time: 488.672 ms
- ============== Starting Testing ==============
- ============== result:{'loss': 1.765168770765647, 'acc': 0.8001402243589744}, use_time:85.92311882972717 ==============
- The best acc is 0.8020032051282051
- ============== result:{'loss': 1.7673151655074877, 'acc': 0.7998798076923077}, use_time:87.25254797935486 ==============
- The best acc is 0.8015625
- ============== result:{'loss': 1.766459294160207, 'acc': 0.7999599358974359}, use_time:88.01283264160156 ==============
- The best acc is 0.8012820512820513
- ============== result:{'acc': 0.7998397435897436, 'loss': 1.7664482260361696}, use_time:88.60555005073547 ==============
- The best acc is 0.8018830128205128
- ============== result:{'acc': 0.7997395833333333, 'loss': 1.7670861705755576}, use_time:88.84411787986755 ==============
- The best acc is 0.8015224358974359
- ============== result:{'acc': 0.8005408653846153, 'loss': 1.7615867312137896}, use_time:89.16547846794128 ==============
- The best acc is 0.8013421474358975
- ============== result:{'acc': 0.7998397435897436, 'loss': 1.7650287053523919}, use_time:89.42693901062012 ==============
- The best acc is 0.8015024038461539
- ============== result:{'acc': 0.799599358974359, 'loss': 1.767671661804884}, use_time:89.69174408912659 ==============
- The best acc is 0.8013822115384616
- epoch: 32 step: 1251, loss is 1.8214462
- epoch: 32 step: 1251, loss is 1.8337007epoch: 32 step: 1251, loss is 1.7093896
-
- epoch: 32 step: 1251, loss is 1.5342956epoch: 32 step: 1251, loss is 1.7434332
-
- epoch: 32 step: 1251, loss is 1.5284102
- epoch: 32 step: 1251, loss is 1.8188848epoch time: 611416.443 ms, per step time: 488.742 ms
- ============== Starting Testing ==============
- epoch time: 610729.224 ms, per step time: 488.193 ms
- epoch time: 612818.916 ms, per step time: 489.863 ms============== Starting Testing ==============
-
- epoch time: 610087.803 ms, per step time: 487.680 ms============== Starting Testing ==============
-
- ============== Starting Testing ==============
- epoch time: 609905.768 ms, per step time: 487.535 ms
- ============== Starting Testing ==============
- epoch: 32 step: 1251, loss is 1.6042966epoch time: 609585.134 ms, per step time: 487.278 ms
- ============== Starting Testing ==============
-
- epoch time: 609341.430 ms, per step time: 487.083 ms
- ============== Starting Testing ==============
-
- epoch time: 609115.877 ms, per step time: 486.903 ms
- ============== Starting Testing ==============
- ============== result:{'loss': 1.7676664169018086, 'acc': 0.7998197115384615}, use_time:85.16611051559448 ==============
- The best acc is 0.8012820512820513
- ============== result:{'loss': 1.766461226879022, 'acc': 0.8002604166666667}, use_time:87.09062361717224 ==============
- The best acc is 0.8015625
- ============== result:{'loss': 1.7676924968377137, 'acc': 0.7997596153846154}, use_time:87.33363652229309 ==============
- The best acc is 0.8020032051282051
- ============== result:{'acc': 0.8001001602564103, 'loss': 1.7647534511028191}, use_time:87.86033082008362 ==============
- The best acc is 0.8018830128205128
- ============== result:{'acc': 0.7995793269230769, 'loss': 1.7665699313848446}, use_time:88.33320164680481 ==============
- The best acc is 0.8013421474358975
- ============== result:{'acc': 0.7995592948717949, 'loss': 1.7687396948154157}, use_time:88.74038457870483 ==============
- The best acc is 0.8015224358974359
- ============== result:{'acc': 0.7991386217948718, 'loss': 1.7690324865854703}, use_time:88.95841860771179 ==============
- The best acc is 0.8015024038461539
- ============== result:{'acc': 0.7995793269230769, 'loss': 1.7667815300134513}, use_time:89.24902939796448 ==============
- The best acc is 0.8013822115384616
- epoch: 33 step: 1251, loss is 1.8113469
- epoch: 33 step: 1251, loss is 1.6687483epoch: 33 step: 1251, loss is 1.639581
- epoch: 33 step: 1251, loss is 1.5465853
- epoch: 33 step: 1251, loss is 1.3960695epoch: 33 step: 1251, loss is 1.8817414
- epoch: 33 step: 1251, loss is 1.8383203
- epoch: 33 step: 1251, loss is 1.5491586
- epoch time: 608777.982 ms, per step time: 486.633 msepoch time: 610432.200 ms, per step time: 487.955 ms
- ============== Starting Testing ==============
-
- epoch time: 610187.182 ms, per step time: 487.760 ms
- ============== Starting Testing ==============
- ============== Starting Testing ==============epoch time: 609662.525 ms, per step time: 487.340 ms
-
- ============== Starting Testing ==============
- epoch time: 608542.606 ms, per step time: 486.445 ms
- ============== Starting Testing ==============
- epoch time: 609196.775 ms, per step time: 486.968 ms
- ============== Starting Testing ==============
-
-
- epoch time: 612418.031 ms, per step time: 489.543 ms
- ============== Starting Testing ==============
- epoch time: 608275.031 ms, per step time: 486.231 ms
- ============== Starting Testing ==============
- ============== result:{'loss': 1.7666432102521261, 'acc': 0.7990384615384616}, use_time:86.05055141448975 ==============
- The best acc is 0.8020032051282051
- ============== result:{'loss': 1.764717830144442, 'acc': 0.8001402243589744}, use_time:86.12553572654724 ==============
- The best acc is 0.8015625
- ============== result:{'acc': 0.8000600961538461, 'loss': 1.7662157752575018}, use_time:87.93043732643127 ==============
- The best acc is 0.8018830128205128
- ============== result:{'loss': 1.7645436014884557, 'acc': 0.8000400641025641}, use_time:87.89652895927429 ==============
- The best acc is 0.8012820512820513
- ============== result:{'acc': 0.800020032051282, 'loss': 1.7660441343600934}, use_time:88.2512276172638 ==============
- The best acc is 0.8015224358974359
- ============== result:{'acc': 0.8002604166666667, 'loss': 1.764976049386538}, use_time:89.04038548469543 ==============
- The best acc is 0.8013822115384616
- ============== result:{'acc': 0.8001602564102565, 'loss': 1.7669260929792354}, use_time:89.67910504341125 ==============
- The best acc is 0.8015024038461539
- ============== result:{'acc': 0.7998197115384615, 'loss': 1.7658961488650395}, use_time:89.66965293884277 ==============
- The best acc is 0.8013421474358975
- epoch: 34 step: 1251, loss is 1.6858214epoch: 34 step: 1251, loss is 1.7532322
- epoch: 34 step: 1251, loss is 1.5683712
-
- epoch: 34 step: 1251, loss is 1.6576047
- epoch: 34 step: 1251, loss is 1.7196112
- epoch: 34 step: 1251, loss is 1.651572epoch: 34 step: 1251, loss is 1.5452309
-
- epoch time: 610129.035 ms, per step time: 487.713 ms
- ============== Starting Testing ==============
- epoch time: 608697.953 ms, per step time: 486.569 msepoch time: 608697.440 ms, per step time: 486.569 msepoch time: 610453.059 ms, per step time: 487.972 ms
- ============== Starting Testing ==============
-
-
- ============== Starting Testing ============================ Starting Testing ==============
-
- epoch time: 612263.410 ms, per step time: 489.419 ms
- ============== Starting Testing ==============
- epoch time: 610430.429 ms, per step time: 487.954 ms
- epoch time: 612338.710 ms, per step time: 489.479 ms============== Starting Testing ==============
-
- ============== Starting Testing ==============
- epoch: 34 step: 1251, loss is 1.6720035
- epoch time: 609326.437 ms, per step time: 487.071 ms
- ============== Starting Testing ==============
- ============== result:{'loss': 1.7651662829594734, 'acc': 0.8001802884615384}, use_time:81.41016554832458 ==============
- The best acc is 0.8015625
- ============== result:{'loss': 1.765126883983612, 'acc': 0.800020032051282}, use_time:87.196702003479 ==============
- The best acc is 0.8020032051282051
- ============== result:{'acc': 0.7997996794871794, 'loss': 1.7625547210375467}, use_time:87.17327046394348 ==============
- The best acc is 0.8013822115384616
- ============== result:{'acc': 0.7993389423076923, 'loss': 1.7635365742903488}, use_time:87.67627429962158 ==============
- The best acc is 0.8018830128205128
- ============== result:{'acc': 0.8000600961538461, 'loss': 1.762998754855914}, use_time:87.70233917236328 ==============
- The best acc is 0.8015224358974359
- ============== result:{'acc': 0.7997596153846154, 'loss': 1.7645402223635942}, use_time:87.92421627044678 ==============
- The best acc is 0.8013421474358975
- ============== result:{'acc': 0.8003004807692308, 'loss': 1.7632940332094829}, use_time:88.07928824424744 ==============
- The best acc is 0.8015024038461539
- ============== result:{'loss': 1.7624561007206256, 'acc': 0.8003605769230769}, use_time:88.55542707443237 ==============
- The best acc is 0.8012820512820513
- epoch: 35 step: 1251, loss is 1.6695366
- epoch: 35 step: 1251, loss is 1.5204921
- epoch: 35 step: 1251, loss is 1.7267803
- epoch: 35 step: 1251, loss is 1.6969113
- epoch: 35 step: 1251, loss is 1.6651046
- epoch time: 609996.617 ms, per step time: 487.607 ms
- ============== Starting Testing ==============
- epoch time: 609617.874 ms, per step time: 487.304 ms
- epoch time: 609774.658 ms, per step time: 487.430 ms
- ============== Starting Testing ==============
- ============== Starting Testing ==============
- epoch time: 610498.138 ms, per step time: 488.008 msepoch: 35 step: 1251, loss is 1.7699201
-
- ============== Starting Testing ==============
- epoch time: 610492.767 ms, per step time: 488.004 ms
- epoch: 35 step: 1251, loss is 1.5650275============== Starting Testing ==============
-
- epoch time: 609157.801 ms, per step time: 486.937 ms
- ============== Starting Testing ==============
- epoch time: 616319.462 ms, per step time: 492.661 ms
- ============== Starting Testing ==============
- epoch: 35 step: 1251, loss is 1.8034494
- epoch time: 610080.217 ms, per step time: 487.674 ms
- ============== Starting Testing ==============
- ============== result:{'acc': 0.7988782051282052, 'loss': 1.7698128449611175}, use_time:84.31843709945679 ==============
- The best acc is 0.8015024038461539
- ============== result:{'loss': 1.7650092977743883, 'acc': 0.8000801282051282}, use_time:86.57348799705505 ==============
- The best acc is 0.8020032051282051
- ============== result:{'loss': 1.768821735565479, 'acc': 0.7992387820512821}, use_time:86.66996216773987 ==============
- The best acc is 0.8015625
- ============== result:{'acc': 0.7993389423076923, 'loss': 1.767686694707626}, use_time:87.79411292076111 ==============
- The best acc is 0.8018830128205128
- ============== result:{'loss': 1.7674907225828904, 'acc': 0.7999599358974359}, use_time:87.99926614761353 ==============
- The best acc is 0.8012820512820513
- ============== result:{'acc': 0.7989983974358974, 'loss': 1.7701954175264407}, use_time:88.44103169441223 ==============
- The best acc is 0.8015224358974359
- ============== result:{'acc': 0.7997395833333333, 'loss': 1.7637900746785677}, use_time:88.75909781455994 ==============
- The best acc is 0.8013822115384616
- ============== result:{'acc': 0.7993189102564102, 'loss': 1.7706204588596637}, use_time:89.77781534194946 ==============
- The best acc is 0.8013421474358975
- epoch: 36 step: 1251, loss is 1.5838699
- epoch: 36 step: 1251, loss is 1.5260913epoch: 36 step: 1251, loss is 1.8533367
- epoch: 36 step: 1251, loss is 1.7348006
- epoch: 36 step: 1251, loss is 1.6518872
- epoch: 36 step: 1251, loss is 1.5714049epoch: 36 step: 1251, loss is 1.7071433
-
-
- epoch: 36 step: 1251, loss is 1.899955
- epoch time: 610992.341 ms, per step time: 488.403 ms
- ============== Starting Testing ==============
- epoch time: 613379.880 ms, per step time: 490.312 msepoch time: 609680.264 ms, per step time: 487.354 ms
- ============== Starting Testing ==============
-
- epoch time: 611122.338 ms, per step time: 488.507 ms============== Starting Testing ==============epoch time: 607922.404 ms, per step time: 485.949 ms
- epoch time: 608924.743 ms, per step time: 486.750 ms
- ============== Starting Testing ==============
-
- epoch time: 609262.903 ms, per step time: 487.021 ms============== Starting Testing ==============
- ============== Starting Testing ==============
-
- ============== Starting Testing ==============
- epoch time: 609847.539 ms, per step time: 487.488 ms
- ============== Starting Testing ==============
-
- ============== result:{'acc': 0.80078125, 'loss': 1.7624725124774836}, use_time:81.8630838394165 ==============
- The best acc is 0.8015224358974359
- ============== result:{'loss': 1.762284353757516, 'acc': 0.8009214743589743}, use_time:85.30998182296753 ==============
- The best acc is 0.8015625
- ============== result:{'loss': 1.762148713759887, 'acc': 0.8008814102564102}, use_time:86.76556420326233 ==============
- The best acc is 0.8020032051282051
- ============== result:{'acc': 0.8004206730769231, 'loss': 1.7649509432988288}, use_time:88.05226469039917 ==============
- The best acc is 0.8013421474358975
- ============== result:{'loss': 1.7659685675914472, 'acc': 0.8003004807692308}, use_time:88.21746945381165 ==============
- The best acc is 0.8012820512820513
- ============== result:{'acc': 0.8005408653846153, 'loss': 1.7651734052560268}, use_time:88.74958610534668 ==============
- The best acc is 0.8018830128205128
- ============== result:{'acc': 0.8008814102564102, 'loss': 1.766727707019219}, use_time:89.11705923080444 ==============
- The best acc is 0.8015024038461539
- ============== result:{'acc': 0.8010216346153847, 'loss': 1.7629929655637497}, use_time:89.48032760620117 ==============
- The best acc is 0.8013822115384616
- epoch: 37 step: 1251, loss is 1.6284345epoch: 37 step: 1251, loss is 1.6429999
- epoch: 37 step: 1251, loss is 1.6362458
-
- epoch: 37 step: 1251, loss is 1.6408224
- epoch: 37 step: 1251, loss is 1.8454378epoch: 37 step: 1251, loss is 1.8318187epoch: 37 step: 1251, loss is 1.5847023
-
- epoch: 37 step: 1251, loss is 1.595387
-
- epoch time: 612198.706 ms, per step time: 489.367 ms
- ============== Starting Testing ==============
- epoch time: 610743.371 ms, per step time: 488.204 msepoch time: 609290.635 ms, per step time: 487.043 ms
- ============== Starting Testing ==============
-
- epoch time: 608758.351 ms, per step time: 486.617 msepoch time: 608028.366 ms, per step time: 486.034 ms
- ============== Starting Testing ==============
-
- ============== Starting Testing ==============
- ============== Starting Testing ==============
- epoch time: 615644.783 ms, per step time: 492.122 msepoch time: 609458.629 ms, per step time: 487.177 ms
- ============== Starting Testing ==============
-
- ============== Starting Testing ==============
- epoch time: 608398.582 ms, per step time: 486.330 ms
- ============== Starting Testing ==============
- ============== result:{'acc': 0.8003205128205129, 'loss': 1.7678745282001984}, use_time:83.05463242530823 ==============
- The best acc is 0.8013822115384616
- ============== result:{'loss': 1.7721724378756987, 'acc': 0.7998197115384615}, use_time:86.43153262138367 ==============
- The best acc is 0.8020032051282051
- ============== result:{'acc': 0.8000400641025641, 'loss': 1.7728399609908079}, use_time:86.64412307739258 ==============
- The best acc is 0.8015224358974359
- ============== result:{'loss': 1.7723990403688872, 'acc': 0.7997395833333333}, use_time:87.7872052192688 ==============
- The best acc is 0.8012820512820513
- ============== result:{'loss': 1.7714694732274765, 'acc': 0.7996995192307692}, use_time:88.0168788433075 ==============
- The best acc is 0.8015625
- ============== result:{'acc': 0.8002003205128205, 'loss': 1.7707374260975763}, use_time:88.05515956878662 ==============
- The best acc is 0.8018830128205128
- ============== result:{'acc': 0.8002003205128205, 'loss': 1.7696003522628392}, use_time:88.17984318733215 ==============
- The best acc is 0.8015024038461539
- ============== result:{'acc': 0.7994591346153846, 'loss': 1.7715328513047635}, use_time:90.4291205406189 ==============
- The best acc is 0.8013421474358975
- epoch: 38 step: 1251, loss is 1.7179961epoch: 38 step: 1251, loss is 1.7516193
-
- epoch: 38 step: 1251, loss is 1.6903048
- epoch: 38 step: 1251, loss is 1.5701439
- epoch: 38 step: 1251, loss is 1.9179535
- epoch: 38 step: 1251, loss is 1.8071362
- epoch: 38 step: 1251, loss is 1.854121
- epoch: 38 step: 1251, loss is 1.8798718
- epoch time: 612770.803 ms, per step time: 489.825 ms
- epoch time: 616362.442 ms, per step time: 492.696 ms
- ============== Starting Testing ==============
- ============== Starting Testing ==============
- epoch time: 611403.689 ms, per step time: 488.732 msepoch time: 611363.876 ms, per step time: 488.700 ms
- epoch time: 608989.023 ms, per step time: 486.802 ms
- ============== Starting Testing ============================ Starting Testing ==============
-
- ============== Starting Testing ==============
-
- epoch time: 612988.060 ms, per step time: 489.998 ms
- ============== Starting Testing ==============
- epoch time: 611234.308 ms, per step time: 488.597 ms
- ============== Starting Testing ==============
- epoch time: 611643.679 ms, per step time: 488.924 ms
- ============== Starting Testing ==============
- ============== result:{'loss': 1.7678640139408601, 'acc': 0.8004407051282051}, use_time:83.72400259971619 ==============
- The best acc is 0.8015625
- ============== result:{'acc': 0.8004607371794872, 'loss': 1.7655992642427103}, use_time:85.98337888717651 ==============
- The best acc is 0.8015024038461539
- ============== result:{'loss': 1.7672763246756333, 'acc': 0.8009815705128205}, use_time:85.99196100234985 ==============
- The best acc is 0.8020032051282051
- ============== result:{'acc': 0.8012219551282052, 'loss': 1.7653310693227329}, use_time:86.02192902565002 ==============
- The best acc is 0.8013822115384616
- ============== result:{'acc': 0.8008012820512821, 'loss': 1.7669749177419223}, use_time:87.78255248069763 ==============
- The best acc is 0.8018830128205128
- ============== result:{'loss': 1.767199050463163, 'acc': 0.8007612179487179}, use_time:87.80497241020203 ==============
- The best acc is 0.8012820512820513
- ============== result:{'acc': 0.8008213141025641, 'loss': 1.7655363596402682}, use_time:88.1007912158966 ==============
- The best acc is 0.8013421474358975
- ============== result:{'acc': 0.8009415064102564, 'loss': 1.7651614827987476}, use_time:89.35474014282227 ==============
- The best acc is 0.8015224358974359
- epoch: 39 step: 1251, loss is 1.793328epoch: 39 step: 1251, loss is 1.6975157
-
- epoch: 39 step: 1251, loss is 1.7276328
- epoch: 39 step: 1251, loss is 1.7151611epoch: 39 step: 1251, loss is 1.5844555
- epoch: 39 step: 1251, loss is 1.9895467
- epoch: 39 step: 1251, loss is 1.5893172
- epoch: 39 step: 1251, loss is 1.9148171
-
- epoch time: 608950.084 ms, per step time: 486.771 ms
- ============== Starting Testing ==============
- epoch time: 610203.513 ms, per step time: 487.773 msepoch time: 610488.499 ms, per step time: 488.000 ms
- epoch time: 612318.980 ms, per step time: 489.464 ms============== Starting Testing ==============
- epoch time: 610522.244 ms, per step time: 488.027 ms
-
- ============== Starting Testing ==============epoch time: 612313.748 ms, per step time: 489.459 ms
- ============== Starting Testing ==============
- epoch time: 612287.220 ms, per step time: 489.438 ms
- ============== Starting Testing ==============
-
- ============== Starting Testing ==============epoch time: 614584.908 ms, per step time: 491.275 ms
-
-
- ============== Starting Testing ==============
- ============== Starting Testing ==============
- ============== result:{'loss': 1.767440743629749, 'acc': 0.7998998397435897}, use_time:81.94321942329407 ==============
- The best acc is 0.8020032051282051
- ============== result:{'acc': 0.8010616987179487, 'loss': 1.766176858315101}, use_time:86.44715309143066 ==============
- The best acc is 0.8013421474358975
- ============== result:{'acc': 0.8004206730769231, 'loss': 1.7686689566343259}, use_time:87.90195631980896 ==============
- The best acc is 0.8018830128205128
- ============== result:{'loss': 1.7658607886387752, 'acc': 0.8005608974358974}, use_time:88.1272714138031 ==============
- The best acc is 0.8015625
- ============== result:{'loss': 1.7690344584293856, 'acc': 0.7998798076923077}, use_time:88.35267210006714 ==============
- The best acc is 0.8012820512820513
- ============== result:{'acc': 0.8010416666666667, 'loss': 1.7686839916767219}, use_time:88.37512421607971 ==============
- The best acc is 0.8015224358974359
- ============== result:{'acc': 0.7998197115384615, 'loss': 1.7695232379130827}, use_time:88.43433141708374 ==============
- The best acc is 0.8015024038461539
- ============== result:{'acc': 0.8009615384615385, 'loss': 1.7652346977820763}, use_time:89.22414803504944 ==============
- The best acc is 0.8013822115384616
- epoch: 40 step: 1251, loss is 1.5832253
- epoch: 40 step: 1251, loss is 1.8117219epoch: 40 step: 1251, loss is 1.6166515
- epoch: 40 step: 1251, loss is 1.790648
- epoch: 40 step: 1251, loss is 1.6295457
- epoch: 40 step: 1251, loss is 1.6359222
- epoch: 40 step: 1251, loss is 1.5796642
-
- epoch: 40 step: 1251, loss is 1.5646374
- epoch time: 609533.670 ms, per step time: 487.237 ms
- ============== Starting Testing ==============
- epoch time: 609771.513 ms, per step time: 487.427 ms
- ============== Starting Testing ==============
- epoch time: 609474.133 ms, per step time: 487.190 msepoch time: 609552.922 ms, per step time: 487.253 ms
- epoch time: 608683.281 ms, per step time: 486.557 ms============== Starting Testing ==============
-
-
- ============== Starting Testing ==============
- epoch time: 615962.902 ms, per step time: 492.376 ms============== Starting Testing ==============
-
- ============== Starting Testing ==============epoch time: 611464.174 ms, per step time: 488.780 ms
- epoch time: 610008.581 ms, per step time: 487.617 ms
-
- ============== Starting Testing ============================ Starting Testing ==============
-
- ============== result:{'loss': 1.769479124668317, 'acc': 0.7989182692307693}, use_time:87.00573706626892 ==============
- The best acc is 0.8020032051282051
- ============== result:{'loss': 1.7692621912711706, 'acc': 0.7994190705128205}, use_time:87.36076951026917 ==============
- The best acc is 0.8015625
- ============== result:{'acc': 0.7994991987179487, 'loss': 1.767761970177675}, use_time:87.44453716278076 ==============
- The best acc is 0.8013421474358975
- ============== result:{'acc': 0.7989583333333333, 'loss': 1.7683237170561765}, use_time:88.85467767715454 ==============
- The best acc is 0.8015224358974359
- ============== result:{'acc': 0.7987580128205128, 'loss': 1.7678728987009098}, use_time:88.86573624610901 ==============
- The best acc is 0.8018830128205128
- ============== result:{'loss': 1.7712994086436735, 'acc': 0.7990384615384616}, use_time:88.95318126678467 ==============
- The best acc is 0.8012820512820513
- ============== result:{'acc': 0.798838141025641, 'loss': 1.769593091500111}, use_time:89.12378668785095 ==============
- The best acc is 0.8015024038461539
- ============== result:{'acc': 0.7993990384615385, 'loss': 1.7685918551224928}, use_time:89.55257868766785 ==============
- The best acc is 0.8013822115384616
- epoch: 41 step: 1251, loss is 1.7166033
- epoch: 41 step: 1251, loss is 1.6617908
- epoch: 41 step: 1251, loss is 1.5865574epoch: 41 step: 1251, loss is 1.6621873epoch: 41 step: 1251, loss is 1.5732474
-
- epoch: 41 step: 1251, loss is 1.6669687
-
- epoch: 41 step: 1251, loss is 1.7965071
- epoch time: 611413.787 ms, per step time: 488.740 ms
- ============== Starting Testing ==============
- epoch time: 609650.012 ms, per step time: 487.330 msepoch time: 609221.982 ms, per step time: 486.988 ms
- epoch time: 611327.606 ms, per step time: 488.671 ms============== Starting Testing ==============epoch time: 609906.873 ms, per step time: 487.535 ms
- epoch time: 609924.685 ms, per step time: 487.550 ms
- ============== Starting Testing ============================ Starting Testing ==============
-
- ============== Starting Testing ==============
-
-
- ============== Starting Testing ==============
- epoch time: 611770.781 ms, per step time: 489.025 ms
-
- ============== Starting Testing ==============
- epoch: 41 step: 1251, loss is 1.7894237
- epoch time: 609860.869 ms, per step time: 487.499 ms
- ============== Starting Testing ==============
- ============== result:{'loss': 1.7712923768239144, 'acc': 0.7987580128205128}, use_time:84.8272876739502 ==============
- The best acc is 0.8020032051282051
- ============== result:{'loss': 1.7680631668139726, 'acc': 0.7993990384615385}, use_time:85.45878601074219 ==============
- The best acc is 0.8015625
- ============== result:{'acc': 0.7991586538461538, 'loss': 1.7700316960995013}, use_time:87.78936982154846 ==============
- The best acc is 0.8013421474358975
- ============== result:{'acc': 0.7995392628205128, 'loss': 1.7692689217053927}, use_time:87.90961861610413 ==============
- The best acc is 0.8018830128205128
- ============== result:{'acc': 0.7993389423076923, 'loss': 1.7680563128911533}, use_time:88.22443914413452 ==============
- The best acc is 0.8015024038461539
- ============== result:{'acc': 0.7986979166666667, 'loss': 1.7703086455663046}, use_time:88.46671938896179 ==============
- The best acc is 0.8015224358974359
- ============== result:{'loss': 1.7721605047201499, 'acc': 0.7987179487179488}, use_time:88.53485774993896 ==============
- The best acc is 0.8012820512820513
- ============== result:{'acc': 0.799979967948718, 'loss': 1.7653344683158092}, use_time:89.10553193092346 ==============
- The best acc is 0.8013822115384616
- epoch: 42 step: 1251, loss is 1.7818804epoch: 42 step: 1251, loss is 1.4704444
-
- epoch: 42 step: 1251, loss is 1.7504134epoch: 42 step: 1251, loss is 1.6263157epoch: 42 step: 1251, loss is 1.6436976
-
- epoch: 42 step: 1251, loss is 1.5550382
-
- epoch: 42 step: 1251, loss is 1.8016758
- epoch: 42 step: 1251, loss is 1.6510293
- epoch time: 609528.417 ms, per step time: 487.233 ms
- ============== Starting Testing ==============
- epoch time: 613168.494 ms, per step time: 490.143 msepoch time: 608891.519 ms, per step time: 486.724 msepoch time: 610088.394 ms, per step time: 487.681 msepoch time: 612542.339 ms, per step time: 489.642 ms
- ============== Starting Testing ==============
-
-
- ============== Starting Testing ============================ Starting Testing ==============
- epoch time: 609773.247 ms, per step time: 487.429 msepoch time: 609423.218 ms, per step time: 487.149 ms
-
-
- ============== Starting Testing ==============
- ============== Starting Testing ==============
-
- ============== Starting Testing ==============
- epoch time: 610213.685 ms, per step time: 487.781 ms
- ============== Starting Testing ==============
- ============== result:{'loss': 1.7758352084037585, 'acc': 0.798397435897436}, use_time:86.15173482894897 ==============
- The best acc is 0.8020032051282051
- ============== result:{'loss': 1.7760542976550566, 'acc': 0.7986578525641026}, use_time:87.38385152816772 ==============
- The best acc is 0.8015625
- ============== result:{'acc': 0.7975360576923077, 'loss': 1.7742232286013089}, use_time:88.04067397117615 ==============
- The best acc is 0.8013421474358975
- ============== result:{'acc': 0.7981770833333334, 'loss': 1.7773341597654881}, use_time:88.32764840126038 ==============
- The best acc is 0.8015224358974359
- ============== result:{'acc': 0.7987780448717948, 'loss': 1.7750928291907677}, use_time:88.50388073921204 ==============
- The best acc is 0.8015024038461539
- ============== result:{'acc': 0.7998197115384615, 'loss': 1.7710958722310188}, use_time:88.77519202232361 ==============
- The best acc is 0.8013822115384616
- ============== result:{'acc': 0.7988581730769231, 'loss': 1.7729917691304133}, use_time:88.81675982475281 ==============
- The best acc is 0.8018830128205128
- ============== result:{'loss': 1.7722162372026689, 'acc': 0.7989383012820512}, use_time:88.91163945198059 ==============
- The best acc is 0.8012820512820513
- epoch: 43 step: 1251, loss is 1.7713695epoch: 43 step: 1251, loss is 1.6643605
- epoch: 43 step: 1251, loss is 1.6549928
- epoch: 43 step: 1251, loss is 1.7448916
- epoch: 43 step: 1251, loss is 1.7382947
-
- epoch: 43 step: 1251, loss is 1.7109784
- epoch: 43 step: 1251, loss is 1.7071594
- epoch time: 609239.342 ms, per step time: 487.002 msepoch time: 610180.987 ms, per step time: 487.755 msepoch time: 608788.612 ms, per step time: 486.642 ms
-
- ============== Starting Testing ==============
- ============== Starting Testing ==============
- epoch time: 608653.133 ms, per step time: 486.533 ms
- ============== Starting Testing ==============
-
- epoch time: 611420.391 ms, per step time: 488.745 ms
- ============== Starting Testing ==============
- epoch time: 609528.088 ms, per step time: 487.233 ms
- ============== Starting Testing ==============
- epoch: 43 step: 1251, loss is 1.6746987
- epoch time: 608804.292 ms, per step time: 486.654 ms
- ============== Starting Testing ==============
- ============== Starting Testing ==============epoch time: 609126.686 ms, per step time: 486.912 ms
-
- ============== Starting Testing ==============
- ============== result:{'loss': 1.7739969128217452, 'acc': 0.7983373397435898}, use_time:83.0066180229187 ==============
- The best acc is 0.8015625
- ============== result:{'loss': 1.773270805676778, 'acc': 0.7982772435897436}, use_time:86.35850405693054 ==============
- The best acc is 0.8020032051282051
- ============== result:{'loss': 1.773972761631012, 'acc': 0.7987980769230769}, use_time:86.6680850982666 ==============
- The best acc is 0.8012820512820513
- ============== result:{'acc': 0.7987780448717948, 'loss': 1.7727375207803189}, use_time:87.79316449165344 ==============
- The best acc is 0.8018830128205128
- ============== result:{'acc': 0.7984174679487179, 'loss': 1.7763791762865506}, use_time:88.28403210639954 ==============
- The best acc is 0.8015224358974359
- ============== result:{'acc': 0.799599358974359, 'loss': 1.7714931912911245}, use_time:88.4396767616272 ==============
- The best acc is 0.8013421474358975
- ============== result:{'acc': 0.799599358974359, 'loss': 1.7722591904493479}, use_time:88.9128680229187 ==============
- The best acc is 0.8015024038461539
- ============== result:{'acc': 0.799599358974359, 'loss': 1.7729306664222326}, use_time:89.36821103096008 ==============
- The best acc is 0.8013822115384616
- epoch: 44 step: 1251, loss is 1.8045943
- epoch: 44 step: 1251, loss is 1.681082epoch: 44 step: 1251, loss is 1.7216343
- epoch: 44 step: 1251, loss is 1.6590118epoch: 44 step: 1251, loss is 1.8281784
-
- epoch: 44 step: 1251, loss is 1.5919597
-
- epoch: 44 step: 1251, loss is 1.815079
- epoch time: 615125.217 ms, per step time: 491.707 msepoch time: 609848.344 ms, per step time: 487.489 ms
-
- ============== Starting Testing ============================ Starting Testing ==============
-
- epoch time: 611462.507 ms, per step time: 488.779 ms
- epoch time: 608698.777 ms, per step time: 486.570 ms============== Starting Testing ==============
-
- ============== Starting Testing ==============
- epoch time: 609686.650 ms, per step time: 487.359 ms
- ============== Starting Testing ==============
- epoch: 44 step: 1251, loss is 1.6797657
- epoch time: 611778.368 ms, per step time: 489.031 ms
- ============== Starting Testing ==============
- epoch time: 610308.198 ms, per step time: 487.856 ms
- ============== Starting Testing ==============
- epoch time: 609218.040 ms, per step time: 486.985 ms
- ============== Starting Testing ==============
- ============== result:{'loss': 1.7645261489428006, 'acc': 0.8003205128205129}, use_time:85.72934460639954 ==============
- The best acc is 0.8020032051282051
- ============== result:{'loss': 1.764291221361894, 'acc': 0.8002403846153846}, use_time:86.10206413269043 ==============
- The best acc is 0.8015625
- ============== result:{'acc': 0.7992788461538461, 'loss': 1.7693153525010132}, use_time:87.6511640548706 ==============
- The best acc is 0.8015224358974359
- ============== result:{'acc': 0.7994190705128205, 'loss': 1.7699822086554307}, use_time:87.71253561973572 ==============
- The best acc is 0.8018830128205128
- ============== result:{'acc': 0.7995793269230769, 'loss': 1.7688337286313376}, use_time:88.1993408203125 ==============
- The best acc is 0.8013421474358975
- ============== result:{'loss': 1.7669581691424052, 'acc': 0.7991386217948718}, use_time:88.36754131317139 ==============
- The best acc is 0.8012820512820513
- ============== result:{'acc': 0.7994791666666666, 'loss': 1.7695305879299457}, use_time:89.57174062728882 ==============
- The best acc is 0.8013822115384616
- ============== result:{'acc': 0.8003405448717948, 'loss': 1.7642686137786279}, use_time:89.99228191375732 ==============
- The best acc is 0.8015024038461539
- epoch: 45 step: 1251, loss is 1.9372926epoch: 45 step: 1251, loss is 1.76578
-
- epoch: 45 step: 1251, loss is 1.7048986epoch: 45 step: 1251, loss is 1.7396667
- epoch: 45 step: 1251, loss is 1.7578708
- epoch: 45 step: 1251, loss is 1.7524753
- epoch: 45 step: 1251, loss is 1.7549771
-
- epoch: 45 step: 1251, loss is 1.6514595
- epoch time: 610508.919 ms, per step time: 488.017 msepoch time: 612057.883 ms, per step time: 489.255 ms
-
- ============== Starting Testing ============================ Starting Testing ==============
- epoch time: 608584.719 ms, per step time: 486.479 ms
- epoch time: 609792.659 ms, per step time: 487.444 ms
- ============== Starting Testing ==============
-
- epoch time: 608104.318 ms, per step time: 486.095 ms============== Starting Testing ==============
-
- ============== Starting Testing ==============
- epoch time: 612421.955 ms, per step time: 489.546 ms
- epoch time: 609961.361 ms, per step time: 487.579 ms============== Starting Testing ==============
-
- epoch time: 610426.492 ms, per step time: 487.951 ms
- ============== Starting Testing ============================ Starting Testing ==============
-
- ============== result:{'acc': 0.7997596153846154, 'loss': 1.7687524697719477}, use_time:85.47578525543213 ==============
- The best acc is 0.8013822115384616
- ============== result:{'loss': 1.7690927245678045, 'acc': 0.7998597756410256}, use_time:86.13513088226318 ==============
- The best acc is 0.8012820512820513
- ============== result:{'loss': 1.7662737008852836, 'acc': 0.8005008012820513}, use_time:86.57740211486816 ==============
- The best acc is 0.8020032051282051
- ============== result:{'acc': 0.8002804487179487, 'loss': 1.7670368674473884}, use_time:87.73160219192505 ==============
- The best acc is 0.8018830128205128
- ============== result:{'acc': 0.8002003205128205, 'loss': 1.7677284742013002}, use_time:87.77666234970093 ==============
- The best acc is 0.8015224358974359
- ============== result:{'loss': 1.7673888652752607, 'acc': 0.8001001602564103}, use_time:88.33954191207886 ==============
- The best acc is 0.8015625
- ============== result:{'acc': 0.8005809294871795, 'loss': 1.765529438165518}, use_time:88.44977593421936 ==============
- The best acc is 0.8013421474358975
- ============== result:{'acc': 0.8000400641025641, 'loss': 1.7678794753857148}, use_time:88.92401003837585 ==============
- The best acc is 0.8015024038461539
- epoch: 46 step: 1251, loss is 1.5600446epoch: 46 step: 1251, loss is 1.4971964
-
- epoch: 46 step: 1251, loss is 1.6423463
- epoch: 46 step: 1251, loss is 1.7002913
- epoch: 46 step: 1251, loss is 1.8984063
- epoch: 46 step: 1251, loss is 1.9318216
- epoch time: 609803.274 ms, per step time: 487.453 msepoch time: 612666.070 ms, per step time: 489.741 msepoch time: 609681.775 ms, per step time: 487.356 ms
- epoch time: 609217.252 ms, per step time: 486.984 ms
- ============== Starting Testing ==============
-
- ============== Starting Testing ============================ Starting Testing ==============
-
- ============== Starting Testing ==============
-
- epoch time: 610406.659 ms, per step time: 487.935 msepoch time: 612009.631 ms, per step time: 489.216 ms
- ============== Starting Testing ==============
-
- ============== Starting Testing ==============
- epoch: 46 step: 1251, loss is 1.4205183
- epoch: 46 step: 1251, loss is 1.6811943
- epoch time: 610419.080 ms, per step time: 487.945 ms
- ============== Starting Testing ==============
- epoch time: 611615.245 ms, per step time: 488.901 ms
- ============== Starting Testing ==============
- ============== result:{'loss': 1.7674185489996885, 'acc': 0.7997195512820513}, use_time:86.10784482955933 ==============
- The best acc is 0.8015625
- ============== result:{'loss': 1.768059817644266, 'acc': 0.7999399038461539}, use_time:87.02396750450134 ==============
- The best acc is 0.8020032051282051
- ============== result:{'acc': 0.7999399038461539, 'loss': 1.7654943090218764}, use_time:87.06378722190857 ==============
- The best acc is 0.8015224358974359
- ============== result:{'loss': 1.768456117923443, 'acc': 0.7989983974358974}, use_time:87.59454321861267 ==============
- The best acc is 0.8012820512820513
- ============== result:{'acc': 0.7996594551282051, 'loss': 1.7707792710035275}, use_time:88.10994529724121 ==============
- The best acc is 0.8013421474358975
- ============== result:{'acc': 0.7992988782051282, 'loss': 1.7677484570405422}, use_time:88.29664349555969 ==============
- The best acc is 0.8018830128205128
- ============== result:{'acc': 0.79921875, 'loss': 1.7696726768444746}, use_time:89.4813437461853 ==============
- The best acc is 0.8015024038461539
- ============== result:{'acc': 0.79921875, 'loss': 1.7688514510790507}, use_time:89.51353073120117 ==============
- The best acc is 0.8013822115384616
- epoch: 47 step: 1251, loss is 1.6230043epoch: 47 step: 1251, loss is 1.8069398
- epoch: 47 step: 1251, loss is 1.6087849
- epoch: 47 step: 1251, loss is 1.6484964epoch: 47 step: 1251, loss is 1.6607358
-
-
- epoch: 47 step: 1251, loss is 1.7196196
- epoch: 47 step: 1251, loss is 1.6269267
- epoch: 47 step: 1251, loss is 1.57532epoch time: 611967.326 ms, per step time: 489.183 ms
- epoch time: 610963.947 ms, per step time: 488.380 ms============== Starting Testing ==============
-
- ============== Starting Testing ==============epoch time: 608564.648 ms, per step time: 486.463 ms
- epoch time: 610481.972 ms, per step time: 487.995 ms
- ============== Starting Testing ==============
-
- ============== Starting Testing ==============
- epoch time: 608597.983 ms, per step time: 486.489 ms
- ============== Starting Testing ==============
- epoch time: 609976.085 ms, per step time: 487.591 ms
- ============== Starting Testing ==============
- epoch time: 611019.905 ms, per step time: 488.425 ms
- ============== Starting Testing ==============
-
- epoch time: 609844.798 ms, per step time: 487.486 ms
- ============== Starting Testing ==============
- ============== result:{'acc': 0.7985376602564103, 'loss': 1.7762889880400436}, use_time:87.50026941299438 ==============
- The best acc is 0.8015224358974359
- ============== result:{'loss': 1.7721433511147133, 'acc': 0.7989383012820512}, use_time:87.54089593887329 ==============
- The best acc is 0.8015625
- ============== result:{'loss': 1.7743720947167811, 'acc': 0.7990384615384616}, use_time:87.78497862815857 ==============
- The best acc is 0.8020032051282051
- ============== result:{'acc': 0.7995793269230769, 'loss': 1.7711592053755736}, use_time:87.90291857719421 ==============
- The best acc is 0.8013421474358975
- ============== result:{'acc': 0.7993389423076923, 'loss': 1.7727596790362627}, use_time:88.54442977905273 ==============
- The best acc is 0.8013822115384616
- ============== result:{'acc': 0.7984975961538462, 'loss': 1.771988996481284}, use_time:88.55458903312683 ==============
- The best acc is 0.8018830128205128
- ============== result:{'acc': 0.7987379807692307, 'loss': 1.7722611231681629}, use_time:88.62597107887268 ==============
- The best acc is 0.8015024038461539
- ============== result:{'loss': 1.7704111829782143, 'acc': 0.7989983974358974}, use_time:89.56113576889038 ==============
- The best acc is 0.8012820512820513
- epoch: 48 step: 1251, loss is 1.5957674
- epoch: 48 step: 1251, loss is 1.7224069
- epoch: 48 step: 1251, loss is 1.5241563epoch: 48 step: 1251, loss is 1.7020437epoch: 48 step: 1251, loss is 1.7403626
-
-
- epoch: 48 step: 1251, loss is 1.6967326
- epoch time: 611190.171 ms, per step time: 488.561 ms
- ============== Starting Testing ==============
- epoch: 48 step: 1251, loss is 1.6309361
- epoch time: 611152.951 ms, per step time: 488.532 ms
- epoch time: 610071.818 ms, per step time: 487.667 ms============== Starting Testing ==============
-
- ============== Starting Testing ==============
- epoch time: 609132.006 ms, per step time: 486.916 msepoch time: 610890.578 ms, per step time: 488.322 msepoch time: 610784.639 ms, per step time: 488.237 ms
-
- ============== Starting Testing ==============
- ============== Starting Testing ==============
-
- ============== Starting Testing ==============
- epoch time: 610164.354 ms, per step time: 487.741 ms
- ============== Starting Testing ==============
- epoch: 48 step: 1251, loss is 1.6512244
- epoch time: 610128.304 ms, per step time: 487.712 ms
- ============== Starting Testing ==============
- ============== result:{'loss': 1.7678620842786936, 'acc': 0.7998197115384615}, use_time:86.79962086677551 ==============
- The best acc is 0.8020032051282051
- ============== result:{'loss': 1.7680833706488976, 'acc': 0.8002003205128205}, use_time:86.94360089302063 ==============
- The best acc is 0.8015625
- ============== result:{'acc': 0.7997596153846154, 'loss': 1.768303372615423}, use_time:87.78558588027954 ==============
- The best acc is 0.8015224358974359
- ============== result:{'acc': 0.7997395833333333, 'loss': 1.7680429461674811}, use_time:87.91698360443115 ==============
- The best acc is 0.8018830128205128
- ============== result:{'acc': 0.7984174679487179, 'loss': 1.7726011126469343}, use_time:88.21810364723206 ==============
- The best acc is 0.8013421474358975
- ============== result:{'loss': 1.7674644060623952, 'acc': 0.799258814102564}, use_time:88.80838418006897 ==============
- The best acc is 0.8012820512820513
- ============== result:{'acc': 0.7997195512820513, 'loss': 1.7682666793847694}, use_time:89.57147908210754 ==============
- The best acc is 0.8013822115384616
- ============== result:{'acc': 0.7995392628205128, 'loss': 1.7691480719126187}, use_time:90.23379492759705 ==============
- The best acc is 0.8015024038461539
- epoch: 49 step: 1251, loss is 1.6154568
- epoch: 49 step: 1251, loss is 1.8981072
- epoch: 49 step: 1251, loss is 1.7849412
- epoch: 49 step: 1251, loss is 1.7995973epoch time: 610953.941 ms, per step time: 488.372 ms
- ============== Starting Testing ==============
- epoch time: 611936.059 ms, per step time: 489.158 ms
- ============== Starting Testing ==============
- epoch time: 609933.292 ms, per step time: 487.557 ms
- epoch: 49 step: 1251, loss is 1.5173185============== Starting Testing ==============
-
- epoch: 49 step: 1251, loss is 1.6477977
- epoch: 49 step: 1251, loss is 1.4500852
- epoch time: 611817.157 ms, per step time: 489.062 ms
- ============== Starting Testing ==============
- epoch: 49 step: 1251, loss is 1.7281142
- epoch time: 610851.068 ms, per step time: 488.290 ms
- ============== Starting Testing ==============epoch time: 610551.233 ms, per step time: 488.051 ms
-
- ============== Starting Testing ==============
- epoch time: 609195.085 ms, per step time: 486.966 ms
- ============== Starting Testing ==============
-
- epoch time: 608507.317 ms, per step time: 486.417 ms
- ============== Starting Testing ==============
- ============== result:{'loss': 1.7679671791883615, 'acc': 0.800020032051282}, use_time:86.41650867462158 ==============
- The best acc is 0.8020032051282051
- ============== result:{'acc': 0.8005408653846153, 'loss': 1.767028211324643}, use_time:87.58649611473083 ==============
- The best acc is 0.8015224358974359
- ============== result:{'loss': 1.7692271541326474, 'acc': 0.8001402243589744}, use_time:87.62339735031128 ==============
- The best acc is 0.8015625
- ============== result:{'acc': 0.8003806089743589, 'loss': 1.769548874329298}, use_time:87.93561267852783 ==============
- The best acc is 0.8013421474358975
- ============== result:{'acc': 0.8014423076923077, 'loss': 1.7658973421805944}, use_time:88.08450508117676 ==============
- =================save checkpoint....====================
- ============== result:{'acc': 0.8009615384615385, 'loss': 1.7662451936648442}, use_time:88.61307644844055 ==============
- The best acc is 0.8015024038461539
- ============== result:{'loss': 1.7673993948178413, 'acc': 0.799639423076923}, use_time:88.92866206169128 ==============
- The best acc is 0.8012820512820513
- ============== result:{'acc': 0.7999399038461539, 'loss': 1.76832675750439}, use_time:89.00290322303772 ==============
- The best acc is 0.8018830128205128
- ==============save checkpoint finished===================
- The best acc is 0.8014423076923077
- epoch: 50 step: 1251, loss is 1.674302epoch: 50 step: 1251, loss is 1.8898736epoch: 50 step: 1251, loss is 1.7221113
- epoch: 50 step: 1251, loss is 1.5222216epoch: 50 step: 1251, loss is 1.6986443
-
- epoch: 50 step: 1251, loss is 1.6535459
-
- epoch: 50 step: 1251, loss is 1.7446054
-
- epoch time: 616745.670 ms, per step time: 493.002 msepoch time: 616807.882 ms, per step time: 493.052 ms
- epoch time: 617975.865 ms, per step time: 493.986 ms
- ============== Starting Testing ==============
- ============== Starting Testing ==============
- ============== Starting Testing ==============
-
- epoch time: 615357.738 ms, per step time: 491.893 msepoch time: 616422.180 ms, per step time: 492.744 msepoch time: 615460.589 ms, per step time: 491.975 ms
- ============== Starting Testing ==============
-
- ============== Starting Testing ==============
-
- ============== Starting Testing ==============
- epoch time: 615715.900 ms, per step time: 492.179 ms
- ============== Starting Testing ==============
- epoch: 50 step: 1251, loss is 1.6335914
- epoch time: 609360.664 ms, per step time: 487.099 ms
- ============== Starting Testing ==============
- ============== result:{'acc': 0.7991786858974359, 'loss': 1.7716910056578807}, use_time:83.03512954711914 ==============
- The best acc is 0.8013421474358975
- ============== result:{'acc': 0.7993990384615385, 'loss': 1.7702401421008966}, use_time:86.3347716331482 ==============
- The best acc is 0.8014423076923077
- ============== result:{'loss': 1.7718771769450261, 'acc': 0.7992988782051282}, use_time:86.8949282169342 ==============
- The best acc is 0.8015625
- ============== result:{'loss': 1.768614701124338, 'acc': 0.7998197115384615}, use_time:87.0129623413086 ==============
- The best acc is 0.8020032051282051
- ============== result:{'acc': 0.7988982371794872, 'loss': 1.7724569968688182}, use_time:88.14891147613525 ==============
- The best acc is 0.8015224358974359
- ============== result:{'acc': 0.7993389423076923, 'loss': 1.7728115094013703}, use_time:88.28055310249329 ==============
- The best acc is 0.8018830128205128
- ============== result:{'loss': 1.7709300646415123, 'acc': 0.7993389423076923}, use_time:88.79850101470947 ==============
- The best acc is 0.8012820512820513
- ============== result:{'acc': 0.7987179487179488, 'loss': 1.7750509751148713}, use_time:88.8761875629425 ==============
- The best acc is 0.8015024038461539
- epoch: 51 step: 1251, loss is 1.7280735epoch: 51 step: 1251, loss is 1.7104067
- epoch: 51 step: 1251, loss is 1.5526775epoch: 51 step: 1251, loss is 1.5892613epoch: 51 step: 1251, loss is 1.6851468epoch: 51 step: 1251, loss is 1.6815853
-
- epoch: 51 step: 1251, loss is 1.9270642
- epoch: 51 step: 1251, loss is 1.584616
-
-
-
- epoch time: 610118.262 ms, per step time: 487.704 msepoch time: 608134.474 ms, per step time: 486.119 ms
- epoch time: 610000.965 ms, per step time: 487.611 msepoch time: 608732.166 ms, per step time: 486.596 ms============== Starting Testing ==============
- epoch time: 608866.250 ms, per step time: 486.704 msepoch time: 610618.387 ms, per step time: 488.104 ms
- ============== Starting Testing ==============
-
-
-
- ============== Starting Testing ==============
-
- ============== Starting Testing ============================ Starting Testing ==============
-
- epoch time: 613983.330 ms, per step time: 490.794 ms
- ============== Starting Testing ==============
- ============== Starting Testing ==============epoch time: 608221.064 ms, per step time: 486.188 ms
-
- ============== Starting Testing ==============
- ============== result:{'acc': 0.7993189102564102, 'loss': 1.774211216889895}, use_time:80.36816072463989 ==============
- The best acc is 0.8015224358974359
- ============== result:{'loss': 1.7739001940458248, 'acc': 0.799198717948718}, use_time:87.39096069335938 ==============
- The best acc is 0.8020032051282051
- ============== result:{'loss': 1.768981617841965, 'acc': 0.7990184294871795}, use_time:87.84406852722168 ==============
- The best acc is 0.8015625
- ============== result:{'loss': 1.7709203402201334, 'acc': 0.7998798076923077}, use_time:87.91257119178772 ==============
- The best acc is 0.8012820512820513
- ============== result:{'acc': 0.799639423076923, 'loss': 1.7721122753925813}, use_time:88.30855417251587 ==============
- The best acc is 0.8013421474358975
- ============== result:{'acc': 0.7998197115384615, 'loss': 1.7716637779504825}, use_time:88.38417148590088 ==============
- The best acc is 0.8018830128205128
- ============== result:{'acc': 0.7997195512820513, 'loss': 1.7713629138775362}, use_time:88.60577702522278 ==============
- The best acc is 0.8015024038461539
- ============== result:{'acc': 0.7991386217948718, 'loss': 1.771808908535884}, use_time:89.03869390487671 ==============
- The best acc is 0.8014423076923077
- epoch: 52 step: 1251, loss is 1.7770517
- epoch: 52 step: 1251, loss is 1.7134786
- epoch: 52 step: 1251, loss is 1.8311431
- epoch: 52 step: 1251, loss is 1.5058345
- epoch: 52 step: 1251, loss is 1.4528905epoch: 52 step: 1251, loss is 1.96929
-
- epoch: 52 step: 1251, loss is 1.6391792
- epoch time: 617336.738 ms, per step time: 493.475 ms
- epoch time: 608665.364 ms, per step time: 486.543 ms============== Starting Testing ==============
-
- ============== Starting Testing ==============
- epoch time: 609316.803 ms, per step time: 487.064 ms
- ============== Starting Testing ==============epoch time: 610314.904 ms, per step time: 487.862 ms
- ============== Starting Testing ==============
- epoch time: 609104.848 ms, per step time: 486.894 ms
-
- ============== Starting Testing ==============
- epoch time: 609792.974 ms, per step time: 487.444 ms
- ============== Starting Testing ==============
- epoch time: 609402.237 ms, per step time: 487.132 ms
- ============== Starting Testing ==============
- epoch: 52 step: 1251, loss is 1.5788145
- epoch time: 609889.443 ms, per step time: 487.522 ms
- ============== Starting Testing ==============
- ============== result:{'loss': 1.7690007243400965, 'acc': 0.7994591346153846}, use_time:86.97755336761475 ==============
- The best acc is 0.8020032051282051
- ============== result:{'acc': 0.7990785256410257, 'loss': 1.7730858521583752}, use_time:88.15599513053894 ==============
- The best acc is 0.8013421474358975
- ============== result:{'loss': 1.7690091029191628, 'acc': 0.7997395833333333}, use_time:88.14987063407898 ==============
- The best acc is 0.8015625
- ============== result:{'acc': 0.7997395833333333, 'loss': 1.7712902325850266}, use_time:88.27426791191101 ==============
- The best acc is 0.8015024038461539
- ============== result:{'acc': 0.8002403846153846, 'loss': 1.770149527451931}, use_time:88.4642014503479 ==============
- The best acc is 0.8015224358974359
- ============== result:{'acc': 0.7995192307692308, 'loss': 1.7738582122020232}, use_time:88.6365966796875 ==============
- The best acc is 0.8018830128205128
- ============== result:{'loss': 1.7727918453705616, 'acc': 0.7987980769230769}, use_time:89.22534656524658 ==============
- The best acc is 0.8012820512820513
- ============== result:{'acc': 0.799639423076923, 'loss': 1.7688400121835561}, use_time:89.96563744544983 ==============
- The best acc is 0.8014423076923077
- epoch: 53 step: 1251, loss is 1.8404707epoch: 53 step: 1251, loss is 1.7728609
- epoch: 53 step: 1251, loss is 1.5765079epoch: 53 step: 1251, loss is 1.7773671
-
-
- epoch: 53 step: 1251, loss is 1.7737072epoch: 53 step: 1251, loss is 1.7223476
- epoch: 53 step: 1251, loss is 1.4440432
- epoch time: 607916.329 ms, per step time: 485.944 msepoch time: 609603.868 ms, per step time: 487.293 msepoch time: 609706.730 ms, per step time: 487.375 ms
-
- ============== Starting Testing ==============
-
- ============== Starting Testing ==============epoch time: 609718.588 ms, per step time: 487.385 ms============== Starting Testing ==============
-
- ============== Starting Testing ==============
-
- epoch time: 608653.145 ms, per step time: 486.533 ms
- ============== Starting Testing ==============
- epoch: 53 step: 1251, loss is 1.8521823
- epoch time: 610915.275 ms, per step time: 488.342 ms
- ============== Starting Testing ==============
- epoch time: 609440.533 ms, per step time: 487.163 ms
- ============== Starting Testing ==============
-
- epoch time: 609305.071 ms, per step time: 487.054 ms
- ============== Starting Testing ==============
- ============== result:{'loss': 1.773680704067915, 'acc': 0.8005408653846153}, use_time:86.20539093017578 ==============
- The best acc is 0.8020032051282051
- ============== result:{'loss': 1.7766981528355525, 'acc': 0.7988581730769231}, use_time:86.80307984352112 ==============
- The best acc is 0.8015625
- ============== result:{'loss': 1.7763178143745815, 'acc': 0.7998798076923077}, use_time:87.81089353561401 ==============
- The best acc is 0.8012820512820513
- ============== result:{'acc': 0.7993990384615385, 'loss': 1.7768158096533555}, use_time:88.09869456291199 ==============
- The best acc is 0.8015224358974359
- ============== result:{'acc': 0.7986177884615384, 'loss': 1.7767788407130118}, use_time:88.07281827926636 ==============
- The best acc is 0.8018830128205128
- ============== result:{'acc': 0.7995793269230769, 'loss': 1.7752475390067468}, use_time:88.19766902923584 ==============
- The best acc is 0.8015024038461539
- ============== result:{'acc': 0.79921875, 'loss': 1.7746654027547593}, use_time:88.52505254745483 ==============
- The best acc is 0.8013421474358975
- ============== result:{'acc': 0.7990584935897436, 'loss': 1.7760375805390187}, use_time:88.64302349090576 ==============
- The best acc is 0.8014423076923077
- epoch: 54 step: 1251, loss is 1.832665
- epoch: 54 step: 1251, loss is 1.8374836
- epoch: 54 step: 1251, loss is 1.6803873epoch: 54 step: 1251, loss is 1.5690112
- epoch: 54 step: 1251, loss is 1.8987236
- epoch: 54 step: 1251, loss is 1.7227622epoch time: 609663.827 ms, per step time: 487.341 ms
- ============== Starting Testing ==============
-
- epoch time: 609264.803 ms, per step time: 487.022 ms
- ============== Starting Testing ==============
- epoch time: 609981.825 ms, per step time: 487.595 ms
- ============== Starting Testing ==============
- epoch time: 611580.454 ms, per step time: 488.873 ms
- ============== Starting Testing ==============
- epoch time: 609609.650 ms, per step time: 487.298 ms
- ============== Starting Testing ==============
- epoch: 54 step: 1251, loss is 1.8270935
- epoch: 54 step: 1251, loss is 1.8125787
- epoch time: 609186.675 ms, per step time: 486.960 ms
- ============== Starting Testing ==============
-
- epoch time: 611039.998 ms, per step time: 488.441 ms
- ============== Starting Testing ==============
- epoch time: 609720.935 ms, per step time: 487.387 ms
- ============== Starting Testing ==============
- ============== result:{'acc': 0.7995793269230769, 'loss': 1.7715910318570258}, use_time:87.38191533088684 ==============
- The best acc is 0.8013421474358975
- ============== result:{'loss': 1.7723338845448615, 'acc': 0.7994391025641026}, use_time:87.52473664283752 ==============
- The best acc is 0.8020032051282051
- ============== result:{'acc': 0.7994190705128205, 'loss': 1.7699026388999743}, use_time:87.67153429985046 ==============
- The best acc is 0.8015224358974359
- ============== result:{'acc': 0.7993990384615385, 'loss': 1.773658879292317}, use_time:88.30928611755371 ==============
- The best acc is 0.8018830128205128
- ============== result:{'loss': 1.772432504556118, 'acc': 0.7998197115384615}, use_time:88.44812679290771 ==============
- The best acc is 0.8012820512820513
- ============== result:{'loss': 1.7723602808438814, 'acc': 0.799198717948718}, use_time:88.85893869400024 ==============
- The best acc is 0.8015625
- ============== result:{'acc': 0.7994791666666666, 'loss': 1.7711581224050277}, use_time:89.09854555130005 ==============
- The best acc is 0.8015024038461539
- ============== result:{'acc': 0.7992988782051282, 'loss': 1.7701194225213466}, use_time:91.18596935272217 ==============
- The best acc is 0.8014423076923077
- epoch: 55 step: 1251, loss is 1.7927396
- epoch: 55 step: 1251, loss is 1.4603797epoch: 55 step: 1251, loss is 1.6964647epoch: 55 step: 1251, loss is 1.8579586
- epoch: 55 step: 1251, loss is 1.6668088
-
-
- epoch time: 611607.914 ms, per step time: 488.895 ms
- ============== Starting Testing ==============
- epoch time: 612855.185 ms, per step time: 489.892 msepoch time: 609297.069 ms, per step time: 487.048 ms
- ============== Starting Testing ==============
-
- ============== Starting Testing ==============
- epoch time: 613140.803 ms, per step time: 490.121 ms
- ============== Starting Testing ==============
- epoch time: 612997.587 ms, per step time: 490.006 ms
- ============== Starting Testing ==============
- epoch: 55 step: 1251, loss is 1.5828433
- epoch: 55 step: 1251, loss is 1.7329888
- epoch: 55 step: 1251, loss is 1.6605365
- epoch time: 612110.309 ms, per step time: 489.297 ms
- ============== Starting Testing ==============
- epoch time: 612199.719 ms, per step time: 489.368 ms
- ============== Starting Testing ==============
- epoch time: 611464.072 ms, per step time: 488.780 ms
- ============== Starting Testing ==============
- ============== result:{'loss': 1.7675375791696402, 'acc': 0.8010016025641026}, use_time:86.58605623245239 ==============
- The best acc is 0.8015625
- ============== result:{'loss': 1.7662549945024344, 'acc': 0.8016626602564103}, use_time:87.28604054450989 ==============
- The best acc is 0.8020032051282051
- ============== result:{'loss': 1.7671459482266352, 'acc': 0.8015024038461539}, use_time:87.86395621299744 ==============
- =================save checkpoint....====================
- ============== result:{'acc': 0.8013621794871795, 'loss': 1.7664888452260923}, use_time:88.03188610076904 ==============
- The best acc is 0.8018830128205128
- ============== result:{'acc': 0.8009615384615385, 'loss': 1.7672705320211557}, use_time:88.66729307174683 ==============
- The best acc is 0.8013421474358975
- ============== result:{'acc': 0.8002804487179487, 'loss': 1.7698145814431019}, use_time:88.69812154769897 ==============
- The best acc is 0.8015224358974359
- ============== result:{'acc': 0.8008413461538462, 'loss': 1.7673164661114031}, use_time:88.94098615646362 ==============
- The best acc is 0.8014423076923077
- ============== result:{'acc': 0.8014022435897435, 'loss': 1.7669564690345372}, use_time:88.92025542259216 ==============
- The best acc is 0.8015024038461539
- ==============save checkpoint finished===================
- The best acc is 0.8015024038461539
- epoch: 56 step: 1251, loss is 1.8365083
- epoch: 56 step: 1251, loss is 1.6819308
- epoch: 56 step: 1251, loss is 1.5362476epoch: 56 step: 1251, loss is 2.0045197
-
- epoch: 56 step: 1251, loss is 1.6860251epoch: 56 step: 1251, loss is 1.5499942
-
- epoch: 56 step: 1251, loss is 1.7132863
- epoch time: 614255.544 ms, per step time: 491.012 ms
- ============== Starting Testing ==============
- epoch time: 616650.681 ms, per step time: 492.926 ms
- ============== Starting Testing ==============
- epoch time: 614538.198 ms, per step time: 491.238 msepoch time: 614565.789 ms, per step time: 491.260 ms
-
- ============== Starting Testing ==============
- epoch time: 608838.329 ms, per step time: 486.681 ms============== Starting Testing ==============
- epoch time: 615151.119 ms, per step time: 491.728 ms
- ============== Starting Testing ==============
-
- ============== Starting Testing ==============
- epoch time: 615948.999 ms, per step time: 492.365 ms
- ============== Starting Testing ==============
- epoch: 56 step: 1251, loss is 1.6020572
- epoch time: 614347.571 ms, per step time: 491.085 ms
- ============== Starting Testing ==============
- ============== result:{'loss': 1.76636992478982, 'acc': 0.8002003205128205}, use_time:87.29786586761475 ==============
- The best acc is 0.8020032051282051
- ============== result:{'acc': 0.7999399038461539, 'loss': 1.7689718558238103}, use_time:87.8155779838562 ==============
- The best acc is 0.8013421474358975
- ============== result:{'acc': 0.7997996794871794, 'loss': 1.770508632904444}, use_time:88.090993642807 ==============
- The best acc is 0.8015024038461539
- ============== result:{'acc': 0.799599358974359, 'loss': 1.7701211703129305}, use_time:88.31672263145447 ==============
- The best acc is 0.8018830128205128
- ============== result:{'acc': 0.7996193910256411, 'loss': 1.770292899853144}, use_time:88.3328447341919 ==============
- The best acc is 0.8015224358974359
- ============== result:{'loss': 1.7686060560055268, 'acc': 0.7997596153846154}, use_time:88.58315300941467 ==============
- The best acc is 0.8015024038461539
- ============== result:{'loss': 1.7722587732168344, 'acc': 0.7991185897435897}, use_time:89.30319905281067 ==============
- The best acc is 0.8015625
- ============== result:{'acc': 0.7998397435897436, 'loss': 1.7702084807249217}, use_time:90.1232442855835 ==============
- The best acc is 0.8014423076923077
- epoch: 57 step: 1251, loss is 1.5751152epoch: 57 step: 1251, loss is 1.5853829epoch: 57 step: 1251, loss is 1.7111431
- epoch: 57 step: 1251, loss is 1.8546731
-
-
- epoch: 57 step: 1251, loss is 1.5849692epoch: 57 step: 1251, loss is 1.6314526
-
- epoch: 57 step: 1251, loss is 1.6084573
- epoch time: 609244.469 ms, per step time: 487.006 ms
- epoch time: 610213.601 ms, per step time: 487.781 ms============== Starting Testing ==============
- epoch time: 609963.196 ms, per step time: 487.580 msepoch time: 608371.565 ms, per step time: 486.308 ms
- epoch time: 610458.596 ms, per step time: 487.976 ms============== Starting Testing ==============
-
- ============== Starting Testing ==============
- epoch time: 611242.590 ms, per step time: 488.603 ms
-
- ============== Starting Testing ==============
-
- ============== Starting Testing ==============
- ============== Starting Testing ==============
- epoch time: 610742.711 ms, per step time: 488.204 ms
- ============== Starting Testing ==============
- epoch: 57 step: 1251, loss is 1.8562814
- epoch time: 610274.606 ms, per step time: 487.829 ms
- ============== Starting Testing ==============
- ============== result:{'loss': 1.7728937717584463, 'acc': 0.8000600961538461}, use_time:86.23480987548828 ==============
- The best acc is 0.8015625
- ============== result:{'loss': 1.7717093791717138, 'acc': 0.7994991987179487}, use_time:87.14453434944153 ==============
- The best acc is 0.8020032051282051
- ============== result:{'loss': 1.777258095374474, 'acc': 0.7988782051282052}, use_time:87.54878687858582 ==============
- The best acc is 0.8015024038461539
- ============== result:{'acc': 0.7987179487179488, 'loss': 1.7769076799735044}, use_time:88.08909583091736 ==============
- The best acc is 0.8015224358974359
- ============== result:{'acc': 0.8000801282051282, 'loss': 1.772741878338349}, use_time:88.32627415657043 ==============
- The best acc is 0.8013421474358975
- ============== result:{'acc': 0.7995592948717949, 'loss': 1.774453055858612}, use_time:88.43949389457703 ==============
- The best acc is 0.8014423076923077
- ============== result:{'acc': 0.799599358974359, 'loss': 1.773157166212033}, use_time:88.87924861907959 ==============
- The best acc is 0.8018830128205128
- ============== result:{'acc': 0.7997395833333333, 'loss': 1.7738300100350992}, use_time:89.35196924209595 ==============
- The best acc is 0.8015024038461539
- epoch: 58 step: 1251, loss is 1.6731579
- epoch: 58 step: 1251, loss is 1.7534161epoch: 58 step: 1251, loss is 1.772079
- epoch: 58 step: 1251, loss is 1.6737924
- epoch: 58 step: 1251, loss is 2.05936
-
- epoch time: 612132.533 ms, per step time: 489.315 ms
- ============== Starting Testing ==============
- epoch time: 610818.707 ms, per step time: 488.264 ms
- ============== Starting Testing ==============
- epoch time: 610033.369 ms, per step time: 487.637 msepoch time: 609929.825 ms, per step time: 487.554 ms
- epoch time: 610281.920 ms, per step time: 487.835 ms============== Starting Testing ==============
-
-
- ============== Starting Testing ============================ Starting Testing ==============
-
- epoch: 58 step: 1251, loss is 1.6667327epoch: 58 step: 1251, loss is 1.6693137
-
- epoch time: 609468.046 ms, per step time: 487.185 msepoch time: 611251.014 ms, per step time: 488.610 ms
-
- ============== Starting Testing ============================ Starting Testing ==============
-
- epoch: 58 step: 1251, loss is 1.799511
- epoch time: 609069.943 ms, per step time: 486.866 ms
- ============== Starting Testing ==============
- ============== result:{'loss': 1.7701915175486833, 'acc': 0.80078125}, use_time:81.69555497169495 ==============
- The best acc is 0.8020032051282051
- ============== result:{'acc': 0.8002804487179487, 'loss': 1.7699688260371869}, use_time:87.92471599578857 ==============
- The best acc is 0.8015224358974359
- ============== result:{'loss': 1.7747501076796115, 'acc': 0.800020032051282}, use_time:88.15532326698303 ==============
- The best acc is 0.8015625
- ============== result:{'acc': 0.8010416666666667, 'loss': 1.7701180100440979}, use_time:88.17538523674011 ==============
- The best acc is 0.8018830128205128
- ============== result:{'acc': 0.7997796474358975, 'loss': 1.7753168827448136}, use_time:88.22032427787781 ==============
- The best acc is 0.8013421474358975
- ============== result:{'loss': 1.7701628908132896, 'acc': 0.8004807692307693}, use_time:88.3192024230957 ==============
- The best acc is 0.8015024038461539
- ============== result:{'acc': 0.8006610576923077, 'loss': 1.7694190746698624}, use_time:89.245032787323 ==============
- The best acc is 0.8015024038461539
- ============== result:{'acc': 0.8005608974358974, 'loss': 1.7686812889881622}, use_time:90.87060880661011 ==============
- The best acc is 0.8014423076923077
- epoch: 59 step: 1251, loss is 1.6503004
- epoch: 59 step: 1251, loss is 1.7785087
- epoch: 59 step: 1251, loss is 1.8275794epoch: 59 step: 1251, loss is 1.5752137
-
- epoch: 59 step: 1251, loss is 1.4736547
- epoch: 59 step: 1251, loss is 1.6714125epoch: 59 step: 1251, loss is 1.5362129
- epoch time: 611536.609 ms, per step time: 488.838 msepoch time: 611313.350 ms, per step time: 488.660 ms
- epoch time: 608593.400 ms, per step time: 486.486 ms============== Starting Testing ==============
-
- ============== Starting Testing ==============
- epoch time: 611246.200 ms, per step time: 488.606 ms
- ============== Starting Testing ==============
-
- epoch time: 611151.178 ms, per step time: 488.530 ms============== Starting Testing ==============
- ============== Starting Testing ==============
-
- epoch: 59 step: 1251, loss is 1.6108816
- epoch time: 610190.297 ms, per step time: 487.762 ms
- ============== Starting Testing ==============
-
- epoch time: 611323.432 ms, per step time: 488.668 ms
- ============== Starting Testing ==============
- epoch time: 617809.214 ms, per step time: 493.852 ms
- ============== Starting Testing ==============
- ============== result:{'loss': 1.770549444663219, 'acc': 0.800400641025641}, use_time:82.64914441108704 ==============
- The best acc is 0.8015625
- ============== result:{'loss': 1.7721415241559346, 'acc': 0.8001602564102565}, use_time:84.86427640914917 ==============
- The best acc is 0.8020032051282051
- ============== result:{'acc': 0.8006009615384615, 'loss': 1.7713927767215631}, use_time:87.57926630973816 ==============
- The best acc is 0.8015224358974359
- ============== result:{'loss': 1.7715724905331929, 'acc': 0.8006410256410257}, use_time:88.10245323181152 ==============
- The best acc is 0.8015024038461539
- ============== result:{'acc': 0.7994991987179487, 'loss': 1.772887507157448}, use_time:88.48358011245728 ==============
- The best acc is 0.8014423076923077
- ============== result:{'acc': 0.8001001602564103, 'loss': 1.7712840581551577}, use_time:88.55975770950317 ==============
- The best acc is 0.8013421474358975
- ============== result:{'acc': 0.8007411858974359, 'loss': 1.7699259537916916}, use_time:88.87680625915527 ==============
- The best acc is 0.8018830128205128
- ============== result:{'acc': 0.8005809294871795, 'loss': 1.7697726243581526}, use_time:89.00708651542664 ==============
- The best acc is 0.8015024038461539
- epoch: 60 step: 1251, loss is 1.5356183
- epoch: 60 step: 1251, loss is 1.6301801epoch: 60 step: 1251, loss is 1.9013875
- epoch: 60 step: 1251, loss is 1.5794302epoch: 60 step: 1251, loss is 1.749021
-
-
- epoch: 60 step: 1251, loss is 1.8073641
- epoch: 60 step: 1251, loss is 1.6614907
- epoch time: 610806.768 ms, per step time: 488.255 msepoch time: 615736.662 ms, per step time: 492.196 ms
- ============== Starting Testing ==============
-
- ============== Starting Testing ==============
- epoch time: 610282.796 ms, per step time: 487.836 ms
- epoch time: 609904.682 ms, per step time: 487.534 ms============== Starting Testing ==============
-
- epoch time: 609360.644 ms, per step time: 487.099 ms============== Starting Testing ==============
-
- ============== Starting Testing ==============epoch time: 609828.128 ms, per step time: 487.473 ms
-
- ============== Starting Testing ==============
- epoch time: 613462.910 ms, per step time: 490.378 ms
- ============== Starting Testing ==============
- epoch: 60 step: 1251, loss is 1.6751829
- epoch time: 609482.197 ms, per step time: 487.196 ms
- ============== Starting Testing ==============
- ============== result:{'loss': 1.7732930357639607, 'acc': 0.8006009615384615}, use_time:84.08588337898254 ==============
- The best acc is 0.8015625
- ============== result:{'loss': 1.770715839129228, 'acc': 0.8015625}, use_time:85.18598175048828 ==============
- =================save checkpoint....====================
- ============== result:{'loss': 1.7728721276307717, 'acc': 0.8009214743589743}, use_time:85.76085829734802 ==============
- The best acc is 0.8020032051282051
- ============== result:{'acc': 0.8021233974358974, 'loss': 1.768640566789187}, use_time:87.93393850326538 ==============
- =================save checkpoint....====================
- ============== result:{'acc': 0.8008613782051283, 'loss': 1.7724692998788296}, use_time:87.94592928886414 ==============
- The best acc is 0.8015224358974359
- ============== result:{'acc': 0.8011818910256411, 'loss': 1.77369887645428}, use_time:88.22355031967163 ==============
- The best acc is 0.8018830128205128
- ============== result:{'acc': 0.8012219551282052, 'loss': 1.7746414850919674}, use_time:88.65051817893982 ==============
- The best acc is 0.8015024038461539
- ============== result:{'acc': 0.8006410256410257, 'loss': 1.7758295392378782}, use_time:89.8133237361908 ==============
- The best acc is 0.8014423076923077
- ==============save checkpoint finished===================
- The best acc is 0.8015625
- ==============save checkpoint finished===================
- The best acc is 0.8021233974358974
- epoch: 61 step: 1251, loss is 1.5598916
- epoch: 61 step: 1251, loss is 1.7118886
- epoch: 61 step: 1251, loss is 1.6152642epoch: 61 step: 1251, loss is 1.7793732
- epoch: 61 step: 1251, loss is 1.6989813
- epoch: 61 step: 1251, loss is 1.8195193
-
- epoch time: 618436.237 ms, per step time: 494.354 ms
- ============== Starting Testing ==============
- epoch time: 613863.451 ms, per step time: 490.698 ms
- ============== Starting Testing ==============epoch time: 614260.408 ms, per step time: 491.016 msepoch: 61 step: 1251, loss is 1.6777718epoch time: 610615.316 ms, per step time: 488.102 ms
-
-
- ============== Starting Testing ==============
- ============== Starting Testing ==============
-
- epoch time: 609132.677 ms, per step time: 486.917 ms
- ============== Starting Testing ==============
- epoch time: 616761.479 ms, per step time: 493.015 ms
- ============== Starting Testing ==============
- epoch time: 614593.771 ms, per step time: 491.282 ms
- epoch: 61 step: 1251, loss is 1.9060525============== Starting Testing ==============
-
- epoch time: 612742.274 ms, per step time: 489.802 ms
- ============== Starting Testing ==============
- ============== result:{'loss': 1.7747347024770883, 'acc': 0.8001001602564103}, use_time:81.31231498718262 ==============
- The best acc is 0.8020032051282051
- ============== result:{'loss': 1.776368500636174, 'acc': 0.7997596153846154}, use_time:82.20904564857483 ==============
- The best acc is 0.8015625
- ============== result:{'loss': 1.7723836400570014, 'acc': 0.8007612179487179}, use_time:87.39924645423889 ==============
- The best acc is 0.8015625
- ============== result:{'acc': 0.7992988782051282, 'loss': 1.7756881704697243}, use_time:88.5904746055603 ==============
- The best acc is 0.8021233974358974
- ============== result:{'acc': 0.7994391025641026, 'loss': 1.77697485715915}, use_time:88.9457106590271 ==============
- The best acc is 0.8015024038461539
- ============== result:{'acc': 0.7996794871794872, 'loss': 1.77826097317231}, use_time:89.19697666168213 ==============
- The best acc is 0.8018830128205128
- ============== result:{'acc': 0.7997996794871794, 'loss': 1.7742228284860269}, use_time:89.7390251159668 ==============
- The best acc is 0.8015224358974359
- ============== result:{'acc': 0.7998197115384615, 'loss': 1.7753409935877873}, use_time:90.25116419792175 ==============
- The best acc is 0.8014423076923077
- epoch: 62 step: 1251, loss is 1.5628872epoch: 62 step: 1251, loss is 1.7840822epoch: 62 step: 1251, loss is 1.8734154
- epoch: 62 step: 1251, loss is 1.6418668
-
-
- epoch: 62 step: 1251, loss is 1.8865036
- epoch: 62 step: 1251, loss is 1.7759392epoch time: 609620.655 ms, per step time: 487.307 ms
- epoch time: 609873.284 ms, per step time: 487.509 ms============== Starting Testing ==============
- epoch time: 617500.247 ms, per step time: 493.605 ms
- ============== Starting Testing ==============
- epoch time: 611420.732 ms, per step time: 488.746 ms
- ============== Starting Testing ==============
-
- ============== Starting Testing ==============
- epoch time: 610229.898 ms, per step time: 487.794 ms
- ============== Starting Testing ==============
- epoch: 62 step: 1251, loss is 1.6651528
- epoch: 62 step: 1251, loss is 1.6167715
- epoch time: 608573.720 ms, per step time: 486.470 msepoch time: 616653.718 ms, per step time: 492.929 ms
-
- ============== Starting Testing ==============
- ============== Starting Testing ==============
-
- epoch time: 609127.114 ms, per step time: 486.912 ms
- ============== Starting Testing ==============
- ============== result:{'acc': 0.799979967948718, 'loss': 1.7742126437333914}, use_time:82.79983568191528 ==============
- The best acc is 0.8015224358974359
- ============== result:{'loss': 1.7738233682436821, 'acc': 0.8002604166666667}, use_time:86.6831727027893 ==============
- The best acc is 0.8020032051282051
- ============== result:{'loss': 1.7732520482478997, 'acc': 0.8002003205128205}, use_time:87.77292203903198 ==============
- The best acc is 0.8015625
- ============== result:{'acc': 0.7999198717948718, 'loss': 1.7782085733535962}, use_time:88.49664044380188 ==============
- The best acc is 0.8015024038461539
- ============== result:{'acc': 0.7998197115384615, 'loss': 1.7767100004049448}, use_time:88.5946102142334 ==============
- The best acc is 0.8021233974358974
- ============== result:{'acc': 0.7999599358974359, 'loss': 1.7743200442729852}, use_time:88.82735180854797 ==============
- The best acc is 0.8018830128205128
- ============== result:{'loss': 1.7754340706727443, 'acc': 0.8009415064102564}, use_time:89.52551889419556 ==============
- The best acc is 0.8015625
- ============== result:{'acc': 0.8005208333333333, 'loss': 1.7775175323853125}, use_time:90.21478152275085 ==============
- The best acc is 0.8014423076923077
- epoch: 63 step: 1251, loss is 1.9529738epoch: 63 step: 1251, loss is 1.7597013
- epoch: 63 step: 1251, loss is 1.7643654
- epoch: 63 step: 1251, loss is 1.6598978
- epoch: 63 step: 1251, loss is 1.6516398
-
- epoch: 63 step: 1251, loss is 1.5255271
- epoch: 63 step: 1251, loss is 1.7156265
- epoch time: 609367.321 ms, per step time: 487.104 msepoch time: 611182.366 ms, per step time: 488.555 msepoch time: 610050.991 ms, per step time: 487.651 msepoch time: 607609.788 ms, per step time: 485.699 ms
-
-
-
- ============== Starting Testing ==============
- ============== Starting Testing ==============
- epoch time: 609266.301 ms, per step time: 487.023 msepoch time: 609041.258 ms, per step time: 486.844 ms============== Starting Testing ==============
-
-
- ============== Starting Testing ==============
- ============== Starting Testing ==============
- epoch time: 608342.255 ms, per step time: 486.285 ms============== Starting Testing ==============
-
- ============== Starting Testing ==============
- epoch: 63 step: 1251, loss is 1.7478888
- epoch time: 615045.970 ms, per step time: 491.643 ms
- ============== Starting Testing ==============
- ============== result:{'loss': 1.7778387653522003, 'acc': 0.8003806089743589}, use_time:86.90439987182617 ==============
- The best acc is 0.8020032051282051
- ============== result:{'loss': 1.7744248491067154, 'acc': 0.8001802884615384}, use_time:87.5640389919281 ==============
- The best acc is 0.8015625
- ============== result:{'acc': 0.8003605769230769, 'loss': 1.7709395326100863}, use_time:88.00277185440063 ==============
- The best acc is 0.8021233974358974
- ============== result:{'acc': 0.7999198717948718, 'loss': 1.7715691150763095}, use_time:88.2949595451355 ==============
- The best acc is 0.8015224358974359
- ============== result:{'acc': 0.7996594551282051, 'loss': 1.772501855935806}, use_time:88.57547402381897 ==============
- The best acc is 0.8018830128205128
- ============== result:{'loss': 1.7743276758071704, 'acc': 0.7997596153846154}, use_time:89.111088514328 ==============
- The best acc is 0.8015625
- ============== result:{'acc': 0.7999599358974359, 'loss': 1.7742260459141854}, use_time:89.6284441947937 ==============
- The best acc is 0.8015024038461539
- ============== result:{'acc': 0.8004407051282051, 'loss': 1.7716166798885051}, use_time:90.08391737937927 ==============
- The best acc is 0.8014423076923077
- epoch: 64 step: 1251, loss is 1.7897067
- epoch: 64 step: 1251, loss is 1.7644309
- epoch: 64 step: 1251, loss is 1.6791257
- epoch: 64 step: 1251, loss is 1.5999634
- epoch: 64 step: 1251, loss is 1.800961
- epoch: 64 step: 1251, loss is 1.6215706
- epoch time: 609101.259 ms, per step time: 486.891 ms
- ============== Starting Testing ==============
- epoch time: 611180.352 ms, per step time: 488.553 msepoch time: 610609.566 ms, per step time: 488.097 ms
- ============== Starting Testing ==============
-
- epoch time: 609557.473 ms, per step time: 487.256 ms============== Starting Testing ==============
-
- ============== Starting Testing ==============
- epoch time: 612286.752 ms, per step time: 489.438 msepoch time: 611624.986 ms, per step time: 488.909 ms
- ============== Starting Testing ==============
-
- ============== Starting Testing ==============
- epoch: 64 step: 1251, loss is 1.633384
- epoch: 64 step: 1251, loss is 1.6895044
- epoch time: 610111.371 ms, per step time: 487.699 ms
- ============== Starting Testing ==============
- epoch time: 610900.636 ms, per step time: 488.330 ms
- ============== Starting Testing ==============
- ============== result:{'acc': 0.8006410256410257, 'loss': 1.7766345840234024}, use_time:86.11146569252014 ==============
- The best acc is 0.8015024038461539
- ============== result:{'loss': 1.7744304079275866, 'acc': 0.8011418269230769}, use_time:87.34825921058655 ==============
- The best acc is 0.8020032051282051
- ============== result:{'acc': 0.8012219551282052, 'loss': 1.775416634632991}, use_time:87.39479327201843 ==============
- The best acc is 0.8021233974358974
- ============== result:{'loss': 1.7733146398495405, 'acc': 0.801161858974359}, use_time:87.67331981658936 ==============
- The best acc is 0.8015625
- ============== result:{'acc': 0.8012219551282052, 'loss': 1.7696824602591685}, use_time:88.42976975440979 ==============
- The best acc is 0.8014423076923077
- ============== result:{'acc': 0.8005608974358974, 'loss': 1.7753845107861055}, use_time:88.5659248828888 ==============
- The best acc is 0.8018830128205128
- ============== result:{'acc': 0.8010616987179487, 'loss': 1.7747837775792832}, use_time:88.9935314655304 ==============
- The best acc is 0.8015224358974359
- ============== result:{'loss': 1.7729618882521605, 'acc': 0.8014623397435897}, use_time:89.58076477050781 ==============
- The best acc is 0.8015625
- epoch: 65 step: 1251, loss is 1.640321
- epoch: 65 step: 1251, loss is 1.7914852epoch: 65 step: 1251, loss is 1.436414
-
- epoch: 65 step: 1251, loss is 1.4062428
- epoch: 65 step: 1251, loss is 1.6785196epoch: 65 step: 1251, loss is 1.699316
- epoch: 65 step: 1251, loss is 1.6755271
-
- epoch: 65 step: 1251, loss is 1.7541847
- epoch time: 612676.613 ms, per step time: 489.749 ms
- ============== Starting Testing ==============epoch time: 611112.505 ms, per step time: 488.499 ms
- epoch time: 611434.986 ms, per step time: 488.757 msepoch time: 610361.995 ms, per step time: 487.899 ms
- ============== Starting Testing ==============
-
- ============== Starting Testing ==============
-
- ============== Starting Testing ==============
- epoch time: 609747.457 ms, per step time: 487.408 ms
- ============== Starting Testing ==============
- epoch time: 610227.386 ms, per step time: 487.792 ms
- ============== Starting Testing ==============
- epoch time: 611402.341 ms, per step time: 488.731 ms
- ============== Starting Testing ==============
- epoch time: 609179.456 ms, per step time: 486.954 ms
- ============== Starting Testing ==============
- ============== result:{'acc': 0.7991586538461538, 'loss': 1.7724481689624296}, use_time:86.80277419090271 ==============
- The best acc is 0.8015224358974359
- ============== result:{'loss': 1.7686660867470962, 'acc': 0.8001602564102565}, use_time:86.84494280815125 ==============
- The best acc is 0.8015625
- ============== result:{'loss': 1.7690539616804857, 'acc': 0.7999599358974359}, use_time:86.9929563999176 ==============
- The best acc is 0.8020032051282051
- ============== result:{'loss': 1.7691286710592418, 'acc': 0.7997195512820513}, use_time:88.01532363891602 ==============
- The best acc is 0.8015625
- ============== result:{'acc': 0.799198717948718, 'loss': 1.7712395646633246}, use_time:88.11245942115784 ==============
- The best acc is 0.8021233974358974
- ============== result:{'acc': 0.7994791666666666, 'loss': 1.7689997581335215}, use_time:88.79613947868347 ==============
- The best acc is 0.8018830128205128
- ============== result:{'acc': 0.7989583333333333, 'loss': 1.7717610435608107}, use_time:89.58159065246582 ==============
- The best acc is 0.8015024038461539
- ============== result:{'acc': 0.7990184294871795, 'loss': 1.7741316721989557}, use_time:89.83622884750366 ==============
- The best acc is 0.8014423076923077
- epoch: 66 step: 1251, loss is 1.8942201epoch: 66 step: 1251, loss is 1.6636701
- epoch: 66 step: 1251, loss is 1.6086366epoch: 66 step: 1251, loss is 1.5509603
- epoch: 66 step: 1251, loss is 1.616649
-
-
- epoch: 66 step: 1251, loss is 1.8215005
- epoch time: 609091.177 ms, per step time: 486.883 msepoch time: 608835.366 ms, per step time: 486.679 ms
-
- ============== Starting Testing ============================ Starting Testing ==============
- epoch time: 610646.122 ms, per step time: 488.126 ms
-
- ============== Starting Testing ==============
- epoch time: 610554.856 ms, per step time: 488.053 msepoch time: 611681.962 ms, per step time: 488.954 ms
- ============== Starting Testing ==============
-
- ============== Starting Testing ==============
- epoch time: 609878.179 ms, per step time: 487.513 ms
- ============== Starting Testing ==============
- epoch: 66 step: 1251, loss is 1.606991
- epoch: 66 step: 1251, loss is 1.9161422epoch time: 611891.682 ms, per step time: 489.122 ms
-
- ============== Starting Testing ==============
- epoch time: 611870.507 ms, per step time: 489.105 ms
- ============== Starting Testing ==============
- ============== result:{'loss': 1.7804976062896924, 'acc': 0.7998397435897436}, use_time:86.26352453231812 ==============
- The best acc is 0.8015625
- ============== result:{'loss': 1.7805777577253488, 'acc': 0.8004206730769231}, use_time:86.98775911331177 ==============
- The best acc is 0.8020032051282051
- ============== result:{'acc': 0.8010817307692307, 'loss': 1.7744384542489664}, use_time:88.29130125045776 ==============
- The best acc is 0.8015224358974359
- ============== result:{'acc': 0.8001001602564103, 'loss': 1.7762014850592003}, use_time:88.40753531455994 ==============
- The best acc is 0.8021233974358974
- ============== result:{'acc': 0.8001402243589744, 'loss': 1.7780729464995555}, use_time:88.60149669647217 ==============
- The best acc is 0.8015024038461539
- ============== result:{'acc': 0.8005608974358974, 'loss': 1.7747602976285495}, use_time:88.77918934822083 ==============
- The best acc is 0.8018830128205128
- ============== result:{'loss': 1.7762002165500934, 'acc': 0.8001602564102565}, use_time:88.8319182395935 ==============
- The best acc is 0.8015625
- ============== result:{'acc': 0.7994190705128205, 'loss': 1.7797054361074398}, use_time:89.96125745773315 ==============
- The best acc is 0.8014423076923077
- epoch: 67 step: 1251, loss is 1.7902954
- epoch: 67 step: 1251, loss is 1.606216
- epoch: 67 step: 1251, loss is 1.6334647epoch: 67 step: 1251, loss is 1.713411
- epoch: 67 step: 1251, loss is 1.7326262
-
- epoch: 67 step: 1251, loss is 1.7429192
- epoch time: 610326.512 ms, per step time: 487.871 msepoch time: 611746.285 ms, per step time: 489.006 ms
-
- ============== Starting Testing ==============
- epoch time: 609905.141 ms, per step time: 487.534 ms============== Starting Testing ==============
-
- ============== Starting Testing ==============
- epoch time: 612433.194 ms, per step time: 489.555 msepoch time: 608777.949 ms, per step time: 486.633 ms
- epoch: 67 step: 1251, loss is 1.5832012
- ============== Starting Testing ==============
-
- ============== Starting Testing ==============
- epoch time: 610145.297 ms, per step time: 487.726 ms
- ============== Starting Testing ==============
- epoch: 67 step: 1251, loss is 1.5108116
- epoch time: 609971.911 ms, per step time: 487.587 ms
- epoch time: 610445.116 ms, per step time: 487.966 ms
- ============== Starting Testing ==============
- ============== Starting Testing ==============
- ============== result:{'acc': 0.8000801282051282, 'loss': 1.7768976624195392}, use_time:85.42232394218445 ==============
- The best acc is 0.8021233974358974
- ============== result:{'loss': 1.7779305809583419, 'acc': 0.7996995192307692}, use_time:87.15148639678955 ==============
- The best acc is 0.8020032051282051
- ============== result:{'acc': 0.7985376602564103, 'loss': 1.7798488329618405}, use_time:88.07336711883545 ==============
- The best acc is 0.8018830128205128
- ============== result:{'loss': 1.7730823590205267, 'acc': 0.7996594551282051}, use_time:88.1637454032898 ==============
- The best acc is 0.8015625
- ============== result:{'acc': 0.7998798076923077, 'loss': 1.775416066402044}, use_time:88.35256958007812 ==============
- The best acc is 0.8015024038461539
- ============== result:{'loss': 1.7789926953804798, 'acc': 0.7993790064102564}, use_time:88.46293377876282 ==============
- The best acc is 0.8015625
- ============== result:{'acc': 0.8000801282051282, 'loss': 1.77242602232175}, use_time:88.57952404022217 ==============
- The best acc is 0.8015224358974359
- ============== result:{'acc': 0.7994190705128205, 'loss': 1.7773773902501815}, use_time:89.44626784324646 ==============
- The best acc is 0.8014423076923077
- epoch: 68 step: 1251, loss is 1.797162epoch: 68 step: 1251, loss is 1.7102349
-
- epoch: 68 step: 1251, loss is 1.5963242
- epoch: 68 step: 1251, loss is 1.7947556
- epoch: 68 step: 1251, loss is 1.7709501
- epoch: 68 step: 1251, loss is 1.7119287
- epoch time: 610233.678 ms, per step time: 487.797 msepoch: 68 step: 1251, loss is 1.7792281
- ============== Starting Testing ==============
-
- epoch time: 611693.370 ms, per step time: 488.964 ms
- ============== Starting Testing ==============
- epoch time: 609395.144 ms, per step time: 487.126 ms
- ============== Starting Testing ==============epoch time: 610382.238 ms, per step time: 487.915 msepoch time: 610737.541 ms, per step time: 488.199 ms
-
-
- ============== Starting Testing ==============
- epoch time: 610484.999 ms, per step time: 487.998 ms============== Starting Testing ==============
-
- ============== Starting Testing ==============
- epoch time: 613437.769 ms, per step time: 490.358 ms
- ============== Starting Testing ==============
- epoch: 68 step: 1251, loss is 1.7292136
- epoch time: 610733.987 ms, per step time: 488.197 ms
- ============== Starting Testing ==============
- ============== result:{'loss': 1.7752286116282145, 'acc': 0.8001201923076923}, use_time:81.57107210159302 ==============
- The best acc is 0.8015625
- ============== result:{'loss': 1.7753355940183004, 'acc': 0.7998798076923077}, use_time:82.61882615089417 ==============
- The best acc is 0.8020032051282051
- ============== result:{'acc': 0.799258814102564, 'loss': 1.7742006414975875}, use_time:87.68884515762329 ==============
- The best acc is 0.8015224358974359
- ============== result:{'loss': 1.774200248106932, 'acc': 0.7996193910256411}, use_time:87.81232452392578 ==============
- The best acc is 0.8015625
- ============== result:{'acc': 0.79921875, 'loss': 1.7755849043528238}, use_time:88.17516899108887 ==============
- The best acc is 0.8015024038461539
- ============== result:{'acc': 0.7996995192307692, 'loss': 1.777500358605996}, use_time:88.85992956161499 ==============
- The best acc is 0.8018830128205128
- ============== result:{'acc': 0.8, 'loss': 1.770744258012527}, use_time:89.11276316642761 ==============
- The best acc is 0.8021233974358974
- ============== result:{'acc': 0.7998597756410256, 'loss': 1.774753688237606}, use_time:89.63848400115967 ==============
- The best acc is 0.8014423076923077
- epoch: 69 step: 1251, loss is 1.7114227
- epoch: 69 step: 1251, loss is 1.5691693epoch: 69 step: 1251, loss is 1.6183343
- epoch: 69 step: 1251, loss is 1.766903epoch: 69 step: 1251, loss is 1.79722
-
-
- epoch: 69 step: 1251, loss is 1.4834707
- epoch: 69 step: 1251, loss is 1.637863
- epoch: 69 step: 1251, loss is 1.5181584epoch time: 611188.237 ms, per step time: 488.560 msepoch time: 617246.744 ms, per step time: 493.403 msepoch time: 610696.929 ms, per step time: 488.167 ms
- ============== Starting Testing ==============
-
-
- epoch time: 611062.008 ms, per step time: 488.459 ms============== Starting Testing ==============
- epoch time: 609747.553 ms, per step time: 487.408 ms
- ============== Starting Testing ==============
- epoch time: 609237.180 ms, per step time: 487.000 ms
-
-
- ============== Starting Testing ============================ Starting Testing ==============
-
- epoch time: 610016.922 ms, per step time: 487.623 ms============== Starting Testing ==============
-
- ============== Starting Testing ==============
- epoch time: 616274.506 ms, per step time: 492.626 ms
- ============== Starting Testing ==============
- ============== result:{'loss': 1.7732197024883367, 'acc': 0.8004206730769231}, use_time:86.99194431304932 ==============
- The best acc is 0.8015625
- ============== result:{'loss': 1.778351859557323, 'acc': 0.7993589743589744}, use_time:87.64308214187622 ==============
- The best acc is 0.8020032051282051
- ============== result:{'acc': 0.7993790064102564, 'loss': 1.7741422289457076}, use_time:88.1895079612732 ==============
- The best acc is 0.8015224358974359
- ============== result:{'loss': 1.7740571975708008, 'acc': 0.800400641025641}, use_time:88.55588126182556 ==============
- The best acc is 0.8015625
- ============== result:{'acc': 0.8003205128205129, 'loss': 1.7744296715809749}, use_time:88.69159889221191 ==============
- The best acc is 0.8015024038461539
- ============== result:{'acc': 0.7999399038461539, 'loss': 1.7757387907077105}, use_time:89.2982931137085 ==============
- The best acc is 0.8014423076923077
- ============== result:{'acc': 0.7989983974358974, 'loss': 1.7776461026607415}, use_time:89.45467066764832 ==============
- The best acc is 0.8021233974358974
- ============== result:{'acc': 0.7999198717948718, 'loss': 1.7784447342921526}, use_time:89.46237421035767 ==============
- The best acc is 0.8018830128205128
- epoch: 70 step: 1251, loss is 1.7733697epoch: 70 step: 1251, loss is 1.7460997
-
- epoch: 70 step: 1251, loss is 1.5032122
- epoch time: 609035.020 ms, per step time: 486.839 ms
- epoch time: 611514.419 ms, per step time: 488.820 ms============== Starting Testing ==============
- ============== Starting Testing ==============
-
- epoch time: 609050.280 ms, per step time: 486.851 ms
- epoch: 70 step: 1251, loss is 1.4882183============== Starting Testing ==============
-
- epoch: 70 step: 1251, loss is 1.7191353
- epoch: 70 step: 1251, loss is 1.8761511epoch time: 610341.234 ms, per step time: 487.883 ms
-
- epoch time: 610872.539 ms, per step time: 488.307 ms============== Starting Testing ==============
-
- ============== Starting Testing ==============
- epoch: 70 step: 1251, loss is 1.8692769
- epoch: 70 step: 1251, loss is 1.6274475
- epoch time: 609247.618 ms, per step time: 487.008 ms
- ============== Starting Testing ==============
- epoch time: 609870.857 ms, per step time: 487.507 ms
- ============== Starting Testing ==============
- epoch time: 610008.200 ms, per step time: 487.616 ms
- ============== Starting Testing ==============
- ============== result:{'acc': 0.8008413461538462, 'loss': 1.7723787980201917}, use_time:84.1256914138794 ==============
- The best acc is 0.8014423076923077
- ============== result:{'loss': 1.7735846109879323, 'acc': 0.8001802884615384}, use_time:86.4743881225586 ==============
- The best acc is 0.8020032051282051
- ============== result:{'loss': 1.7720069448153177, 'acc': 0.8010416666666667}, use_time:86.77243089675903 ==============
- The best acc is 0.8015625
- ============== result:{'acc': 0.800400641025641, 'loss': 1.7715441058843564}, use_time:88.2111701965332 ==============
- The best acc is 0.8015024038461539
- ============== result:{'loss': 1.7748633121832824, 'acc': 0.8006209935897436}, use_time:88.53127646446228 ==============
- The best acc is 0.8015625
- ============== result:{'acc': 0.8009415064102564, 'loss': 1.769459983935723}, use_time:88.66701221466064 ==============
- The best acc is 0.8021233974358974
- ============== result:{'acc': 0.8005809294871795, 'loss': 1.7722065516007253}, use_time:88.77987170219421 ==============
- The best acc is 0.8018830128205128
- ============== result:{'acc': 0.8010016025641026, 'loss': 1.7687200396488874}, use_time:89.15268230438232 ==============
- The best acc is 0.8015224358974359
- epoch: 71 step: 1251, loss is 1.6516474epoch: 71 step: 1251, loss is 1.384057
-
- epoch: 71 step: 1251, loss is 1.6408901
- epoch: 71 step: 1251, loss is 1.6224252
- epoch: 71 step: 1251, loss is 1.7353292epoch: 71 step: 1251, loss is 1.7006786
- epoch: 71 step: 1251, loss is 1.7599552
-
- epoch time: 608548.467 ms, per step time: 486.450 msepoch time: 609061.991 ms, per step time: 486.860 ms
- epoch time: 608951.690 ms, per step time: 486.772 msepoch time: 609133.198 ms, per step time: 486.917 ms
- ============== Starting Testing ============================ Starting Testing ==============
-
-
-
- ============== Starting Testing ==============
- ============== Starting Testing ==============
- epoch time: 609464.262 ms, per step time: 487.182 ms
- ============== Starting Testing ==============
- epoch time: 613568.830 ms, per step time: 490.463 ms
- ============== Starting Testing ==============epoch time: 611231.777 ms, per step time: 488.595 ms
- ============== Starting Testing ==============
-
- epoch: 71 step: 1251, loss is 1.5601857
- epoch time: 610989.199 ms, per step time: 488.401 ms
- ============== Starting Testing ==============
- ============== result:{'acc': 0.7995192307692308, 'loss': 1.7762675517644637}, use_time:84.42626690864563 ==============
- The best acc is 0.8014423076923077
- ============== result:{'acc': 0.7992988782051282, 'loss': 1.7796589197256627}, use_time:87.63177418708801 ==============
- The best acc is 0.8015224358974359
- ============== result:{'loss': 1.778240482012431, 'acc': 0.7998197115384615}, use_time:87.89519047737122 ==============
- The best acc is 0.8020032051282051
- ============== result:{'acc': 0.7984775641025641, 'loss': 1.7791970323293638}, use_time:88.20903849601746 ==============
- The best acc is 0.8018830128205128
- ============== result:{'loss': 1.7785142550101647, 'acc': 0.8001001602564103}, use_time:88.28442215919495 ==============
- The best acc is 0.8015625
- ============== result:{'loss': 1.7757547075931843, 'acc': 0.7998197115384615}, use_time:88.55692267417908 ==============
- The best acc is 0.8015625
- ============== result:{'acc': 0.800020032051282, 'loss': 1.7792051611802517}, use_time:88.64080142974854 ==============
- The best acc is 0.8015024038461539
- ============== result:{'acc': 0.799258814102564, 'loss': 1.7774644384017357}, use_time:89.08466339111328 ==============
- The best acc is 0.8021233974358974
- epoch: 72 step: 1251, loss is 1.7398894
- epoch: 72 step: 1251, loss is 1.7224377
- epoch: 72 step: 1251, loss is 1.7077571
- epoch: 72 step: 1251, loss is 1.5881851
- epoch: 72 step: 1251, loss is 1.6791618epoch: 72 step: 1251, loss is 1.8311656
-
- epoch time: 609089.468 ms, per step time: 486.882 ms
- ============== Starting Testing ==============
- epoch: 72 step: 1251, loss is 1.7001078
- epoch time: 609036.755 ms, per step time: 486.840 msepoch time: 608595.697 ms, per step time: 486.487 ms
-
- ============== Starting Testing ==============
- ============== Starting Testing ==============epoch time: 610050.508 ms, per step time: 487.650 ms
-
- ============== Starting Testing ==============
- epoch time: 609783.934 ms, per step time: 487.437 ms
- ============== Starting Testing ==============
- epoch time: 609399.953 ms, per step time: 487.130 ms
- ============== Starting Testing ==============
- epoch time: 609484.888 ms, per step time: 487.198 ms
- ============== Starting Testing ==============
- epoch: 72 step: 1251, loss is 1.8887613
- epoch time: 613296.747 ms, per step time: 490.245 ms
- ============== Starting Testing ==============
- ============== result:{'loss': 1.7708961202548101, 'acc': 0.8005608974358974}, use_time:86.66370582580566 ==============
- The best acc is 0.8020032051282051
- ============== result:{'loss': 1.7730312017294076, 'acc': 0.8000600961538461}, use_time:86.72813034057617 ==============
- The best acc is 0.8015625
- ============== result:{'acc': 0.8008613782051283, 'loss': 1.7718972444534302}, use_time:88.07363080978394 ==============
- The best acc is 0.8015024038461539
- ============== result:{'loss': 1.772093064051408, 'acc': 0.8003806089743589}, use_time:88.54059362411499 ==============
- The best acc is 0.8015625
- ============== result:{'acc': 0.7998998397435897, 'loss': 1.7757166822751362}, use_time:88.61716771125793 ==============
- The best acc is 0.8014423076923077
- ============== result:{'acc': 0.8001001602564103, 'loss': 1.7715743450018075}, use_time:89.01816058158875 ==============
- The best acc is 0.8015224358974359
- ============== result:{'acc': 0.8006810897435898, 'loss': 1.7733648584439203}, use_time:89.71230602264404 ==============
- The best acc is 0.8021233974358974
- ============== result:{'acc': 0.8004407051282051, 'loss': 1.773145483701657}, use_time:89.69938111305237 ==============
- The best acc is 0.8018830128205128
- epoch: 73 step: 1251, loss is 1.6610932
- epoch: 73 step: 1251, loss is 1.7430885
- epoch: 73 step: 1251, loss is 1.6992102
- epoch: 73 step: 1251, loss is 1.5220044epoch: 73 step: 1251, loss is 1.4444802
- epoch: 73 step: 1251, loss is 1.7930565
- epoch: 73 step: 1251, loss is 1.5134164
- epoch: 73 step: 1251, loss is 1.8004961
- epoch time: 608356.732 ms, per step time: 486.296 ms
- epoch time: 610001.210 ms, per step time: 487.611 ms============== Starting Testing ==============
- epoch time: 609530.159 ms, per step time: 487.234 ms
- ============== Starting Testing ==============
-
- epoch time: 611353.275 ms, per step time: 488.692 ms
- epoch time: 608363.600 ms, per step time: 486.302 ms============== Starting Testing ============================ Starting Testing ==============
-
-
- epoch time: 611413.216 ms, per step time: 488.740 ms============== Starting Testing ==============
-
- ============== Starting Testing ==============
- epoch time: 609066.229 ms, per step time: 486.863 ms
- ============== Starting Testing ==============
-
- epoch time: 609477.786 ms, per step time: 487.192 ms
- ============== Starting Testing ==============
- ============== result:{'loss': 1.7779478748639426, 'acc': 0.7993990384615385}, use_time:84.45214700698853 ==============
- The best acc is 0.8020032051282051
- ============== result:{'acc': 0.7997195512820513, 'loss': 1.7787260566002283}, use_time:87.48487114906311 ==============
- The best acc is 0.8015224358974359
- ============== result:{'loss': 1.7751409750718337, 'acc': 0.8006209935897436}, use_time:87.59501576423645 ==============
- The best acc is 0.8015625
- ============== result:{'acc': 0.7993389423076923, 'loss': 1.7807414782352937}, use_time:88.21419954299927 ==============
- The best acc is 0.8018830128205128
- ============== result:{'acc': 0.7994591346153846, 'loss': 1.7806344013947708}, use_time:88.68059873580933 ==============
- The best acc is 0.8021233974358974
- ============== result:{'loss': 1.7793776350143629, 'acc': 0.7996594551282051}, use_time:89.5137345790863 ==============
- The best acc is 0.8015625
- ============== result:{'acc': 0.799639423076923, 'loss': 1.7782245000203452}, use_time:89.78355002403259 ==============
- The best acc is 0.8015024038461539
- ============== result:{'acc': 0.7999599358974359, 'loss': 1.7789068466577775}, use_time:90.07638931274414 ==============
- The best acc is 0.8014423076923077
- epoch: 74 step: 1251, loss is 1.5458547epoch: 74 step: 1251, loss is 1.6198685epoch: 74 step: 1251, loss is 1.6542484
-
- epoch: 74 step: 1251, loss is 1.6930158
-
- epoch: 74 step: 1251, loss is 1.6107063
- epoch time: 611736.857 ms, per step time: 488.998 msepoch time: 611836.126 ms, per step time: 489.078 ms
- ============== Starting Testing ==============
-
- ============== Starting Testing ==============
- epoch time: 609553.306 ms, per step time: 487.253 msepoch time: 610651.454 ms, per step time: 488.131 ms
- ============== Starting Testing ==============
-
- ============== Starting Testing ==============
- epoch time: 614880.181 ms, per step time: 491.511 ms
- ============== Starting Testing ==============epoch: 74 step: 1251, loss is 1.6822903
-
- epoch time: 609843.069 ms, per step time: 487.484 ms
- ============== Starting Testing ==============epoch: 74 step: 1251, loss is 1.835779
-
- epoch: 74 step: 1251, loss is 1.6002142
- epoch time: 609235.415 ms, per step time: 486.999 ms
- ============== Starting Testing ==============
- epoch time: 611169.766 ms, per step time: 488.545 ms
- ============== Starting Testing ==============
- ============== result:{'loss': 1.7766546704830268, 'acc': 0.8000801282051282}, use_time:87.06491923332214 ==============
- The best acc is 0.8015625
- ============== result:{'loss': 1.7799404388818985, 'acc': 0.7993790064102564}, use_time:87.60115957260132 ==============
- The best acc is 0.8020032051282051
- ============== result:{'loss': 1.7781155491486573, 'acc': 0.7994791666666666}, use_time:87.93263220787048 ==============
- The best acc is 0.8015625
- ============== result:{'acc': 0.8008413461538462, 'loss': 1.7723941699052468}, use_time:88.15510845184326 ==============
- The best acc is 0.8015224358974359
- ============== result:{'acc': 0.7992788461538461, 'loss': 1.7776072783347887}, use_time:88.76101469993591 ==============
- The best acc is 0.8015024038461539
- ============== result:{'acc': 0.799198717948718, 'loss': 1.777948514620463}, use_time:88.78707551956177 ==============
- The best acc is 0.8018830128205128
- ============== result:{'acc': 0.7995192307692308, 'loss': 1.7782366067935258}, use_time:89.11599445343018 ==============
- The best acc is 0.8021233974358974
- ============== result:{'acc': 0.8002203525641025, 'loss': 1.7740866159781432}, use_time:89.94426727294922 ==============
- The best acc is 0.8014423076923077
- epoch: 75 step: 1251, loss is 1.5491147
- epoch: 75 step: 1251, loss is 1.7451541epoch: 75 step: 1251, loss is 1.7130036
-
- epoch: 75 step: 1251, loss is 1.7003787epoch: 75 step: 1251, loss is 1.5620733
- epoch time: 608230.729 ms, per step time: 486.196 msepoch time: 609456.056 ms, per step time: 487.175 msepoch time: 610610.540 ms, per step time: 488.098 ms
- ============== Starting Testing ==============
-
-
- ============== Starting Testing ==============
- ============== Starting Testing ==============
- epoch time: 610269.846 ms, per step time: 487.826 ms
- ============== Starting Testing ==============
- epoch: 75 step: 1251, loss is 1.7059312
- epoch: 75 step: 1251, loss is 1.7780328epoch time: 610102.545 ms, per step time: 487.692 ms
-
- ============== Starting Testing ==============
- epoch: 75 step: 1251, loss is 1.9281018
-
- epoch time: 609443.006 ms, per step time: 487.165 ms
- ============== Starting Testing ==============epoch time: 611214.887 ms, per step time: 488.581 ms
-
- ============== Starting Testing ==============
- epoch time: 609177.328 ms, per step time: 486.952 ms
- ============== Starting Testing ==============
- ============== result:{'loss': 1.7734118501345317, 'acc': 0.8008012820512821}, use_time:84.40635275840759 ==============
- The best acc is 0.8020032051282051
- ============== result:{'loss': 1.774171150647677, 'acc': 0.8008613782051283}, use_time:87.42467164993286 ==============
- The best acc is 0.8015625
- ============== result:{'acc': 0.8008413461538462, 'loss': 1.7764602358524615}, use_time:87.96748995780945 ==============
- The best acc is 0.8014423076923077
- ============== result:{'acc': 0.8000801282051282, 'loss': 1.7763389055545513}, use_time:88.0193395614624 ==============
- The best acc is 0.8015224358974359
- ============== result:{'loss': 1.7749000176405296, 'acc': 0.8009014423076923}, use_time:88.08715319633484 ==============
- The best acc is 0.8015625
- ============== result:{'acc': 0.8008814102564102, 'loss': 1.7766097246072232}, use_time:88.25473928451538 ==============
- The best acc is 0.8018830128205128
- ============== result:{'acc': 0.799639423076923, 'loss': 1.7774017948370713}, use_time:88.72130870819092 ==============
- The best acc is 0.8021233974358974
- ============== result:{'acc': 0.8012219551282052, 'loss': 1.7743063446802971}, use_time:89.06640839576721 ==============
- The best acc is 0.8015024038461539
- epoch: 76 step: 1251, loss is 1.4821186
- epoch: 76 step: 1251, loss is 1.6263114epoch: 76 step: 1251, loss is 1.6374221
- epoch: 76 step: 1251, loss is 1.7500367
- epoch: 76 step: 1251, loss is 1.4772305epoch: 76 step: 1251, loss is 1.7448884
-
-
- epoch time: 610859.847 ms, per step time: 488.297 msepoch time: 610285.078 ms, per step time: 487.838 ms
- ============== Starting Testing ==============
-
- ============== Starting Testing ==============
- epoch time: 610251.097 ms, per step time: 487.811 msepoch time: 609280.941 ms, per step time: 487.035 msepoch time: 613940.267 ms, per step time: 490.760 msepoch time: 610380.198 ms, per step time: 487.914 ms
-
- ============== Starting Testing ==============
-
- ============== Starting Testing ==============
-
- ============== Starting Testing ==============
- ============== Starting Testing ==============
- epoch: 76 step: 1251, loss is 1.6481459
- epoch time: 609565.456 ms, per step time: 487.263 msepoch: 76 step: 1251, loss is 1.6229744
-
- ============== Starting Testing ==============
- epoch time: 610071.251 ms, per step time: 487.667 ms
- ============== Starting Testing ==============
- ============== result:{'loss': 1.7723628676854648, 'acc': 0.8003806089743589}, use_time:86.57680439949036 ==============
- The best acc is 0.8015625
- ============== result:{'loss': 1.7692292760580013, 'acc': 0.8016225961538461}, use_time:87.53142094612122 ==============
- The best acc is 0.8020032051282051
- ============== result:{'acc': 0.8001201923076923, 'loss': 1.7730407265516428}, use_time:88.20771145820618 ==============
- The best acc is 0.8015224358974359
- ============== result:{'acc': 0.8001001602564103, 'loss': 1.7749230971703163}, use_time:88.43733978271484 ==============
- The best acc is 0.8015024038461539
- ============== result:{'acc': 0.801161858974359, 'loss': 1.7707730852640593}, use_time:88.92124509811401 ==============
- The best acc is 0.8018830128205128
- ============== result:{'acc': 0.8010016025641026, 'loss': 1.770859913336925}, use_time:88.95627474784851 ==============
- The best acc is 0.8021233974358974
- ============== result:{'acc': 0.8003806089743589, 'loss': 1.770742546289395}, use_time:89.40878510475159 ==============
- The best acc is 0.8014423076923077
- ============== result:{'loss': 1.7730331955811915, 'acc': 0.8004407051282051}, use_time:89.42150211334229 ==============
- The best acc is 0.8015625
- epoch: 77 step: 1251, loss is 1.6077285
- epoch: 77 step: 1251, loss is 1.7023741epoch: 77 step: 1251, loss is 1.5691388epoch: 77 step: 1251, loss is 1.7189683
-
- epoch: 77 step: 1251, loss is 1.6110239
-
- epoch time: 610244.879 ms, per step time: 487.806 ms
- ============== Starting Testing ==============
- epoch time: 609042.542 ms, per step time: 486.845 ms
- epoch time: 609491.580 ms, per step time: 487.204 msepoch time: 609030.795 ms, per step time: 486.835 ms============== Starting Testing ==============
- epoch: 77 step: 1251, loss is 1.7221259
-
- ============== Starting Testing ==============
-
- ============== Starting Testing ==============
- epoch: 77 step: 1251, loss is 1.9150488
- epoch: 77 step: 1251, loss is 1.518291
- epoch time: 609491.415 ms, per step time: 487.203 ms
- ============== Starting Testing ==============
- epoch time: 610034.400 ms, per step time: 487.637 ms
- ============== Starting Testing ==============
- epoch time: 611904.482 ms, per step time: 489.132 ms
- ============== Starting Testing ==============
- epoch time: 610998.633 ms, per step time: 488.408 ms
- ============== Starting Testing ==============
- ============== result:{'acc': 0.7990184294871795, 'loss': 1.7779234287066337}, use_time:84.18786597251892 ==============
- The best acc is 0.8021233974358974
- ============== result:{'loss': 1.7732828525396493, 'acc': 0.7997195512820513}, use_time:84.85757422447205 ==============
- The best acc is 0.8015625
- ============== result:{'loss': 1.7778984910402542, 'acc': 0.800020032051282}, use_time:87.297780752182 ==============
- The best acc is 0.8020032051282051
- ============== result:{'loss': 1.778355458760873, 'acc': 0.7996594551282051}, use_time:88.5836992263794 ==============
- The best acc is 0.8015625
- ============== result:{'acc': 0.800020032051282, 'loss': 1.7755164170876527}, use_time:88.7140724658966 ==============
- The best acc is 0.8018830128205128
- ============== result:{'acc': 0.7991586538461538, 'loss': 1.7790142071552766}, use_time:88.75726175308228 ==============
- The best acc is 0.8015024038461539
- ============== result:{'acc': 0.7993790064102564, 'loss': 1.7776359035418583}, use_time:88.91923403739929 ==============
- The best acc is 0.8015224358974359
- ============== result:{'acc': 0.799639423076923, 'loss': 1.7777841827808283}, use_time:88.9898407459259 ==============
- The best acc is 0.8014423076923077
- epoch: 78 step: 1251, loss is 1.6487648epoch: 78 step: 1251, loss is 1.4727061
-
- epoch: 78 step: 1251, loss is 1.6228924epoch: 78 step: 1251, loss is 1.7391653
-
- epoch: 78 step: 1251, loss is 1.7174556
- epoch time: 613293.013 ms, per step time: 490.242 msepoch time: 609259.621 ms, per step time: 487.018 ms
-
- ============== Starting Testing ============================ Starting Testing ==============
-
- epoch time: 609189.040 ms, per step time: 486.962 ms
- ============== Starting Testing ==============
- epoch time: 609404.419 ms, per step time: 487.134 ms
- ============== Starting Testing ==============
- epoch time: 610809.891 ms, per step time: 488.257 ms
- ============== Starting Testing ==============
- epoch: 78 step: 1251, loss is 1.7034972
- epoch: 78 step: 1251, loss is 1.5078835
- epoch time: 609496.165 ms, per step time: 487.207 ms
- ============== Starting Testing ==============
- epoch time: 614012.852 ms, per step time: 490.818 ms
- ============== Starting Testing ==============
- epoch: 78 step: 1251, loss is 1.7095289
- epoch time: 609654.180 ms, per step time: 487.333 ms
- ============== Starting Testing ==============
- ============== result:{'acc': 0.7981169871794872, 'loss': 1.784010812258109}, use_time:86.30860495567322 ==============
- The best acc is 0.8015024038461539
- ============== result:{'loss': 1.7793290795424046, 'acc': 0.7991586538461538}, use_time:87.0307092666626 ==============
- The best acc is 0.8020032051282051
- ============== result:{'acc': 0.7993589743589744, 'loss': 1.7794722945262225}, use_time:87.54570293426514 ==============
- The best acc is 0.8015224358974359
- ============== result:{'loss': 1.7824588259061178, 'acc': 0.7989182692307693}, use_time:88.25932192802429 ==============
- The best acc is 0.8015625
- ============== result:{'acc': 0.7997596153846154, 'loss': 1.7783167640368143}, use_time:88.90332746505737 ==============
- The best acc is 0.8021233974358974
- ============== result:{'acc': 0.7983173076923077, 'loss': 1.7854649131114666}, use_time:89.0647246837616 ==============
- The best acc is 0.8018830128205128
- ============== result:{'acc': 0.79921875, 'loss': 1.7812313055380797}, use_time:89.1084794998169 ==============
- The best acc is 0.8014423076923077
- ============== result:{'loss': 1.7793844079359984, 'acc': 0.7988581730769231}, use_time:89.10920214653015 ==============
- The best acc is 0.8015625
- epoch: 79 step: 1251, loss is 1.8109212
- epoch: 79 step: 1251, loss is 1.7277601
- epoch: 79 step: 1251, loss is 1.60758epoch: 79 step: 1251, loss is 1.5572861epoch: 79 step: 1251, loss is 1.7551324
-
-
- epoch time: 610337.994 ms, per step time: 487.880 ms
- ============== Starting Testing ==============
- epoch: 79 step: 1251, loss is 1.7389987epoch time: 609653.958 ms, per step time: 487.333 ms
- epoch time: 609490.009 ms, per step time: 487.202 ms
- ============== Starting Testing ==============epoch time: 612286.448 ms, per step time: 489.438 ms
-
- ============== Starting Testing ==============
-
- ============== Starting Testing ==============
- epoch time: 609497.865 ms, per step time: 487.209 ms
- ============== Starting Testing ==============
- epoch: 79 step: 1251, loss is 1.6402675
- epoch time: 609443.200 ms, per step time: 487.165 ms
- ============== Starting Testing ==============
- epoch time: 611589.224 ms, per step time: 488.880 ms
- ============== Starting Testing ==============
- epoch: 79 step: 1251, loss is 1.4367237
- epoch time: 611101.353 ms, per step time: 488.490 ms
- ============== Starting Testing ==============
- ============== result:{'loss': 1.7823728625590984, 'acc': 0.7997796474358975}, use_time:86.74878859519958 ==============
- The best acc is 0.8020032051282051
- ============== result:{'loss': 1.777486631197807, 'acc': 0.799639423076923}, use_time:87.76810026168823 ==============
- The best acc is 0.8015625
- ============== result:{'acc': 0.7991185897435897, 'loss': 1.7802351098794205}, use_time:88.0886754989624 ==============
- The best acc is 0.8021233974358974
- ============== result:{'acc': 0.8001802884615384, 'loss': 1.7764597116372525}, use_time:88.4890513420105 ==============
- The best acc is 0.8018830128205128
- ============== result:{'acc': 0.7993990384615385, 'loss': 1.779714564482371}, use_time:88.454176902771 ==============
- The best acc is 0.8015224358974359
- ============== result:{'acc': 0.7995192307692308, 'loss': 1.77908966143926}, use_time:88.84938526153564 ==============
- The best acc is 0.8014423076923077
- ============== result:{'loss': 1.7859113360062624, 'acc': 0.798818108974359}, use_time:88.94642186164856 ==============
- The best acc is 0.8015625
- ============== result:{'acc': 0.7994791666666666, 'loss': 1.7785746601911692}, use_time:90.34763383865356 ==============
- The best acc is 0.8015024038461539
- epoch: 80 step: 1251, loss is 1.6686001
- epoch: 80 step: 1251, loss is 1.5452181epoch: 80 step: 1251, loss is 1.6418455
- epoch: 80 step: 1251, loss is 1.7856619epoch: 80 step: 1251, loss is 1.7024243
-
-
- epoch: 80 step: 1251, loss is 1.4864831
- epoch: 80 step: 1251, loss is 1.6166515
- epoch: 80 step: 1251, loss is 1.8140196
- epoch time: 611273.443 ms, per step time: 488.628 ms
- ============== Starting Testing ==============
- epoch time: 612996.446 ms, per step time: 490.005 ms
- ============== Starting Testing ==============
- epoch time: 610812.787 ms, per step time: 488.260 ms
- ============== Starting Testing ==============
- epoch time: 611286.071 ms, per step time: 488.638 msepoch time: 611688.584 ms, per step time: 488.960 ms
- ============== Starting Testing ==============
-
- ============== Starting Testing ==============
- epoch time: 610930.012 ms, per step time: 488.353 ms
- ============== Starting Testing ==============
- epoch time: 612020.549 ms, per step time: 489.225 msepoch time: 609437.171 ms, per step time: 487.160 ms
- ============== Starting Testing ==============
-
- ============== Starting Testing ==============
- ============== result:{'loss': 1.773018847979032, 'acc': 0.8008012820512821}, use_time:82.66327142715454 ==============
- The best acc is 0.8020032051282051
- ============== result:{'acc': 0.8001201923076923, 'loss': 1.7767738754932696}, use_time:85.06345653533936 ==============
- The best acc is 0.8015224358974359
- ============== result:{'loss': 1.7794128983448714, 'acc': 0.7993189102564102}, use_time:87.24543595314026 ==============
- The best acc is 0.8015625
- ============== result:{'acc': 0.7998597756410256, 'loss': 1.779323399066925}, use_time:88.6861219406128 ==============
- The best acc is 0.8015024038461539
- ============== result:{'acc': 0.8007211538461538, 'loss': 1.7734631086007142}, use_time:88.95593285560608 ==============
- The best acc is 0.8021233974358974
- ============== result:{'acc': 0.7996193910256411, 'loss': 1.7770693711745433}, use_time:89.83568167686462 ==============
- The best acc is 0.8014423076923077
- ============== result:{'loss': 1.776366921571585, 'acc': 0.8001402243589744}, use_time:89.9236650466919 ==============
- The best acc is 0.8015625
- ============== result:{'acc': 0.8008413461538462, 'loss': 1.7750572638633924}, use_time:90.02062511444092 ==============
- The best acc is 0.8018830128205128
- epoch: 81 step: 1251, loss is 1.6186229epoch: 81 step: 1251, loss is 1.6638116
-
- epoch: 81 step: 1251, loss is 1.7774305epoch: 81 step: 1251, loss is 1.7521573epoch: 81 step: 1251, loss is 1.8887066
-
-
- epoch time: 611964.110 ms, per step time: 489.180 ms
- epoch time: 616558.603 ms, per step time: 492.853 ms
- ============== Starting Testing ==============
- epoch time: 614159.797 ms, per step time: 490.935 msepoch time: 609296.721 ms, per step time: 487.048 ms
- ============== Starting Testing ==============
-
- ============== Starting Testing ==============epoch: 81 step: 1251, loss is 1.6578916============== Starting Testing ==============
-
-
- epoch time: 610268.062 ms, per step time: 487.824 ms
- ============== Starting Testing ==============
- epoch time: 609223.620 ms, per step time: 486.989 ms
- ============== Starting Testing ==============
- epoch: 81 step: 1251, loss is 1.6874951
- epoch: 81 step: 1251, loss is 1.869548
- epoch time: 610578.185 ms, per step time: 488.072 ms
- ============== Starting Testing ==============
- epoch time: 609440.444 ms, per step time: 487.163 ms
- ============== Starting Testing ==============
- ============== result:{'loss': 1.7805630219288362, 'acc': 0.7994991987179487}, use_time:86.36517262458801 ==============
- The best acc is 0.8020032051282051
- ============== result:{'loss': 1.7835075338681539, 'acc': 0.799639423076923}, use_time:86.95008158683777 ==============
- The best acc is 0.8015625
- ============== result:{'acc': 0.7999399038461539, 'loss': 1.7806886150286747}, use_time:87.93949556350708 ==============
- The best acc is 0.8015224358974359
- ============== result:{'acc': 0.7995592948717949, 'loss': 1.7796126567400419}, use_time:88.51895785331726 ==============
- The best acc is 0.8021233974358974
- ============== result:{'acc': 0.7995392628205128, 'loss': 1.7816723248897455}, use_time:88.64144015312195 ==============
- The best acc is 0.8018830128205128
- ============== result:{'loss': 1.7818202862372765, 'acc': 0.7990785256410257}, use_time:88.99061632156372 ==============
- The best acc is 0.8015625
- ============== result:{'acc': 0.7993589743589744, 'loss': 1.7824816236129173}, use_time:89.74584698677063 ==============
- The best acc is 0.8015024038461539
- ============== result:{'acc': 0.7990184294871795, 'loss': 1.7826456378667783}, use_time:89.93250060081482 ==============
- The best acc is 0.8014423076923077
- epoch: 82 step: 1251, loss is 1.7746111
- epoch: 82 step: 1251, loss is 1.5920076epoch: 82 step: 1251, loss is 1.7695503epoch: 82 step: 1251, loss is 1.5136428
-
-
- epoch: 82 step: 1251, loss is 1.6515422
- epoch: 82 step: 1251, loss is 1.7654773
- epoch time: 609011.683 ms, per step time: 486.820 msepoch time: 610009.501 ms, per step time: 487.618 ms
- ============== Starting Testing ==============
- epoch time: 612640.533 ms, per step time: 489.721 ms
- ============== Starting Testing ==============
- epoch time: 610341.033 ms, per step time: 487.883 msepoch time: 609207.625 ms, per step time: 486.977 ms
-
- ============== Starting Testing ==============
- ============== Starting Testing ==============
-
- ============== Starting Testing ==============
- epoch time: 610486.690 ms, per step time: 487.999 msepoch: 82 step: 1251, loss is 1.4533345
- epoch: 82 step: 1251, loss is 1.5894628
- epoch time: 611107.606 ms, per step time: 488.495 ms
- ============== Starting Testing ==============
- epoch time: 612104.559 ms, per step time: 489.292 ms
- ============== Starting Testing ==============
-
- ============== Starting Testing ==============
- ============== result:{'acc': 0.8011217948717949, 'loss': 1.7739155020469275}, use_time:84.17346858978271 ==============
- The best acc is 0.8015224358974359
- ============== result:{'loss': 1.7772709516378549, 'acc': 0.7998998397435897}, use_time:86.69890546798706 ==============
- The best acc is 0.8020032051282051
- ============== result:{'loss': 1.771120033508692, 'acc': 0.8016225961538461}, use_time:87.7320065498352 ==============
- =================save checkpoint....====================
- ============== result:{'acc': 0.8005008012820513, 'loss': 1.7757241456936568}, use_time:87.92839097976685 ==============
- The best acc is 0.8021233974358974
- ============== result:{'acc': 0.8012219551282052, 'loss': 1.773908251371139}, use_time:88.31977772712708 ==============
- The best acc is 0.8015024038461539
- ============== result:{'acc': 0.8003004807692308, 'loss': 1.776699522825388}, use_time:88.34797191619873 ==============
- The best acc is 0.8018830128205128
- ============== result:{'loss': 1.7786693970362346, 'acc': 0.8003605769230769}, use_time:89.82161617279053 ==============
- The best acc is 0.8015625
- ============== result:{'acc': 0.8009615384615385, 'loss': 1.7748051832883787}, use_time:89.9999577999115 ==============
- The best acc is 0.8014423076923077
- ==============save checkpoint finished===================
- The best acc is 0.8016225961538461
- epoch: 83 step: 1251, loss is 1.6995816epoch: 83 step: 1251, loss is 1.6891327
- epoch: 83 step: 1251, loss is 1.6799763epoch: 83 step: 1251, loss is 1.5448353
-
- epoch: 83 step: 1251, loss is 1.8828628
-
- epoch: 83 step: 1251, loss is 1.5725142
- epoch: 83 step: 1251, loss is 1.5847759
- epoch: 83 step: 1251, loss is 1.7899275epoch time: 618231.300 ms, per step time: 494.190 ms
- epoch time: 607675.462 ms, per step time: 485.752 ms============== Starting Testing ==============epoch time: 612446.016 ms, per step time: 489.565 ms
-
- ============== Starting Testing ==============
-
- epoch time: 614126.207 ms, per step time: 490.908 ms============== Starting Testing ==============
-
- epoch time: 614456.175 ms, per step time: 491.172 ms============== Starting Testing ==============
-
- ============== Starting Testing ==============
- epoch time: 614103.003 ms, per step time: 490.890 ms
- ============== Starting Testing ==============
- epoch time: 612635.373 ms, per step time: 489.717 ms
- ============== Starting Testing ==============
-
- epoch time: 615813.442 ms, per step time: 492.257 ms
- ============== Starting Testing ==============
- ============== result:{'loss': 1.777707288815425, 'acc': 0.7999399038461539}, use_time:82.60511946678162 ==============
- The best acc is 0.8016225961538461
- ============== result:{'loss': 1.7750892678896586, 'acc': 0.8007612179487179}, use_time:86.52027797698975 ==============
- The best acc is 0.8020032051282051
- ============== result:{'acc': 0.8000400641025641, 'loss': 1.7750991912988516}, use_time:88.32802128791809 ==============
- The best acc is 0.8015224358974359
- ============== result:{'acc': 0.8000600961538461, 'loss': 1.7759961519485865}, use_time:88.62900185585022 ==============
- The best acc is 0.8014423076923077
- ============== result:{'loss': 1.7809135174139952, 'acc': 0.7993589743589744}, use_time:88.93641638755798 ==============
- The best acc is 0.8015625
- ============== result:{'acc': 0.7994991987179487, 'loss': 1.7792367623402523}, use_time:89.24057078361511 ==============
- The best acc is 0.8021233974358974
- ============== result:{'acc': 0.7996193910256411, 'loss': 1.7770715227493874}, use_time:89.40034508705139 ==============
- The best acc is 0.8018830128205128
- ============== result:{'acc': 0.7997996794871794, 'loss': 1.7745835518225646}, use_time:89.43983387947083 ==============
- The best acc is 0.8015024038461539
- epoch: 84 step: 1251, loss is 1.6882492
- epoch: 84 step: 1251, loss is 1.5585985epoch: 84 step: 1251, loss is 1.7237889epoch: 84 step: 1251, loss is 2.010292epoch: 84 step: 1251, loss is 1.772338
-
-
-
- epoch: 84 step: 1251, loss is 1.7160444epoch: 84 step: 1251, loss is 1.559431
-
- epoch: 84 step: 1251, loss is 1.669668
- epoch time: 615033.130 ms, per step time: 491.633 msepoch time: 608195.505 ms, per step time: 486.167 ms
- ============== Starting Testing ==============
-
- epoch time: 608396.380 ms, per step time: 486.328 msepoch time: 611056.024 ms, per step time: 488.454 msepoch time: 608234.314 ms, per step time: 486.198 ms============== Starting Testing ==============epoch time: 609312.357 ms, per step time: 487.060 ms
-
- ============== Starting Testing ==============
-
-
- ============== Starting Testing ==============
-
- epoch time: 609011.515 ms, per step time: 486.820 ms============== Starting Testing ============================ Starting Testing ==============
-
-
- ============== Starting Testing ==============
- epoch time: 608704.508 ms, per step time: 486.574 ms
- ============== Starting Testing ==============
- ============== result:{'loss': 1.7746852315389192, 'acc': 0.8009615384615385}, use_time:83.4964234828949 ==============
- The best acc is 0.8020032051282051
- ============== result:{'loss': 1.7792803263052916, 'acc': 0.7994791666666666}, use_time:87.25350594520569 ==============
- The best acc is 0.8016225961538461
- ============== result:{'acc': 0.799979967948718, 'loss': 1.7764830567897893}, use_time:87.52452898025513 ==============
- The best acc is 0.8015224358974359
- ============== result:{'acc': 0.8005208333333333, 'loss': 1.7778954022969955}, use_time:88.69540429115295 ==============
- The best acc is 0.8018830128205128
- ============== result:{'acc': 0.8003605769230769, 'loss': 1.7735126852989196}, use_time:88.86848711967468 ==============
- The best acc is 0.8015024038461539
- ============== result:{'acc': 0.8, 'loss': 1.7751934580313853}, use_time:88.95640134811401 ==============
- The best acc is 0.8021233974358974
- ============== result:{'loss': 1.7781621153538043, 'acc': 0.799599358974359}, use_time:89.5498948097229 ==============
- The best acc is 0.8015625
- ============== result:{'acc': 0.7995392628205128, 'loss': 1.7735784793511415}, use_time:89.80256080627441 ==============
- The best acc is 0.8014423076923077
- epoch: 85 step: 1251, loss is 1.7202766epoch: 85 step: 1251, loss is 1.8003896
- epoch: 85 step: 1251, loss is 1.620451
- epoch: 85 step: 1251, loss is 1.6824372
- epoch: 85 step: 1251, loss is 1.6269224
-
- epoch: 85 step: 1251, loss is 1.5226237
- epoch time: 611674.762 ms, per step time: 488.949 ms
- ============== Starting Testing ==============
- epoch time: 611401.371 ms, per step time: 488.730 ms
- epoch time: 609122.175 ms, per step time: 486.908 ms============== Starting Testing ==============
- epoch time: 610059.517 ms, per step time: 487.657 ms
- ============== Starting Testing ==============epoch time: 609971.966 ms, per step time: 487.588 ms
-
- ============== Starting Testing ==============
-
- ============== Starting Testing ==============
- epoch time: 609372.493 ms, per step time: 487.108 ms
- ============== Starting Testing ==============
- epoch: 85 step: 1251, loss is 1.6855395
- epoch: 85 step: 1251, loss is 1.5277764
- epoch time: 610252.267 ms, per step time: 487.812 ms
- epoch time: 615453.641 ms, per step time: 491.969 ms============== Starting Testing ==============
-
- ============== Starting Testing ==============
- ============== result:{'loss': 1.7838536085226597, 'acc': 0.7990384615384616}, use_time:86.09664797782898 ==============
- The best acc is 0.8020032051282051
- ============== result:{'loss': 1.786752829490564, 'acc': 0.7993189102564102}, use_time:86.49807381629944 ==============
- The best acc is 0.8016225961538461
- ============== result:{'acc': 0.7997596153846154, 'loss': 1.7823972442211249}, use_time:87.83000469207764 ==============
- The best acc is 0.8021233974358974
- ============== result:{'acc': 0.7990384615384616, 'loss': 1.7862390084144397}, use_time:88.01003909111023 ==============
- The best acc is 0.8018830128205128
- ============== result:{'acc': 0.7991786858974359, 'loss': 1.7826969739718315}, use_time:88.17419195175171 ==============
- The best acc is 0.8015224358974359
- ============== result:{'loss': 1.7837474012986207, 'acc': 0.799639423076923}, use_time:88.894939661026 ==============
- The best acc is 0.8015625
- ============== result:{'acc': 0.7984975961538462, 'loss': 1.7828033019334841}, use_time:89.30266666412354 ==============
- The best acc is 0.8014423076923077
- ============== result:{'acc': 0.7991185897435897, 'loss': 1.7823672905946388}, use_time:89.81154799461365 ==============
- The best acc is 0.8015024038461539
- epoch: 86 step: 1251, loss is 1.7219132
- epoch: 86 step: 1251, loss is 1.6875532epoch: 86 step: 1251, loss is 1.6284115
- epoch: 86 step: 1251, loss is 1.5118536
- epoch: 86 step: 1251, loss is 1.7168821
-
- epoch: 86 step: 1251, loss is 1.7400203
- epoch: 86 step: 1251, loss is 1.7496568
- epoch: 86 step: 1251, loss is 1.6624558
- epoch time: 610392.497 ms, per step time: 487.924 ms
- ============== Starting Testing ==============
- epoch time: 612071.460 ms, per step time: 489.266 msepoch time: 608755.984 ms, per step time: 486.615 ms
- ============== Starting Testing ==============
- epoch time: 609671.452 ms, per step time: 487.347 ms
-
- epoch time: 610738.475 ms, per step time: 488.200 ms============== Starting Testing ==============
-
- ============== Starting Testing ==============
- ============== Starting Testing ==============
- epoch time: 612453.832 ms, per step time: 489.571 ms
- ============== Starting Testing ==============
- epoch time: 609276.404 ms, per step time: 487.031 ms
- ============== Starting Testing ==============
- epoch time: 610599.764 ms, per step time: 488.089 ms
- ============== Starting Testing ==============
- ============== result:{'acc': 0.7991586538461538, 'loss': 1.7811966553712502}, use_time:82.78165435791016 ==============
- The best acc is 0.8021233974358974
- ============== result:{'loss': 1.7788182228039473, 'acc': 0.7996193910256411}, use_time:86.8734803199768 ==============
- The best acc is 0.8020032051282051
- ============== result:{'loss': 1.7792870038594955, 'acc': 0.799599358974359}, use_time:87.36928987503052 ==============
- The best acc is 0.8016225961538461
- ============== result:{'acc': 0.7992788461538461, 'loss': 1.7792057752609254}, use_time:88.47893643379211 ==============
- The best acc is 0.8015224358974359
- ============== result:{'loss': 1.7799622141397917, 'acc': 0.799258814102564}, use_time:88.7497787475586 ==============
- The best acc is 0.8015625
- ============== result:{'acc': 0.7995392628205128, 'loss': 1.7782345530314323}, use_time:89.15667152404785 ==============
- The best acc is 0.8018830128205128
- ============== result:{'acc': 0.7993389423076923, 'loss': 1.7777489341222323}, use_time:89.31053137779236 ==============
- The best acc is 0.8014423076923077
- ============== result:{'acc': 0.7996794871794872, 'loss': 1.7784872418794877}, use_time:90.88738298416138 ==============
- The best acc is 0.8015024038461539
- epoch: 87 step: 1251, loss is 1.71479epoch: 87 step: 1251, loss is 1.7001325epoch: 87 step: 1251, loss is 1.5407115
-
-
- epoch: 87 step: 1251, loss is 1.7187934
- epoch: 87 step: 1251, loss is 1.6002605epoch: 87 step: 1251, loss is 1.8397577
- epoch time: 611206.979 ms, per step time: 488.575 ms
- epoch time: 612315.371 ms, per step time: 489.461 ms============== Starting Testing ==============
-
- ============== Starting Testing ==============
- epoch time: 616902.328 ms, per step time: 493.127 ms
- ============== Starting Testing ==============
- epoch time: 612809.359 ms, per step time: 489.856 msepoch time: 610464.877 ms, per step time: 487.982 ms
- ============== Starting Testing ==============
-
- ============== Starting Testing ==============
- epoch: 87 step: 1251, loss is 1.7451783
- epoch time: 610383.734 ms, per step time: 487.917 ms
- ============== Starting Testing ==============
- epoch: 87 step: 1251, loss is 1.6319597
-
- epoch time: 608848.471 ms, per step time: 486.689 ms
- ============== Starting Testing ==============
- epoch time: 610995.960 ms, per step time: 488.406 ms
- ============== Starting Testing ==============
- ============== result:{'loss': 1.7829462567965189, 'acc': 0.7993389423076923}, use_time:82.75727200508118 ==============
- The best acc is 0.8020032051282051
- ============== result:{'acc': 0.7999399038461539, 'loss': 1.7802905379197536}, use_time:84.8885293006897 ==============
- The best acc is 0.8021233974358974
- ============== result:{'acc': 0.7996995192307692, 'loss': 1.7796659151713052}, use_time:88.24842667579651 ==============
- The best acc is 0.8015224358974359
- ============== result:{'loss': 1.7799560280946585, 'acc': 0.8000600961538461}, use_time:88.38637495040894 ==============
- The best acc is 0.8016225961538461
- ============== result:{'acc': 0.7995592948717949, 'loss': 1.7803725997606914}, use_time:88.71951842308044 ==============
- The best acc is 0.8018830128205128
- ============== result:{'acc': 0.8001602564102565, 'loss': 1.7817829376611953}, use_time:88.8446056842804 ==============
- The best acc is 0.8014423076923077
- ============== result:{'loss': 1.7792817931908829, 'acc': 0.7992387820512821}, use_time:89.04656720161438 ==============
- The best acc is 0.8015625
- ============== result:{'acc': 0.7994791666666666, 'loss': 1.7807754253729795}, use_time:89.10429644584656 ==============
- The best acc is 0.8015024038461539
- epoch: 88 step: 1251, loss is 1.4928318epoch: 88 step: 1251, loss is 1.5877068
- epoch: 88 step: 1251, loss is 1.6618543
-
- epoch: 88 step: 1251, loss is 1.4474163
- epoch: 88 step: 1251, loss is 1.6105345
- epoch: 88 step: 1251, loss is 1.7260273
- epoch time: 609876.069 ms, per step time: 487.511 ms
- epoch time: 615361.520 ms, per step time: 491.896 ms
- ============== Starting Testing ============================ Starting Testing ==============
- epoch time: 608967.086 ms, per step time: 486.784 ms
-
- ============== Starting Testing ==============
- epoch time: 609403.517 ms, per step time: 487.133 msepoch time: 609018.423 ms, per step time: 486.825 ms
- ============== Starting Testing ==============
-
- ============== Starting Testing ==============
- epoch time: 613243.094 ms, per step time: 490.202 ms
- ============== Starting Testing ==============
- epoch: 88 step: 1251, loss is 1.5446115
- epoch: 88 step: 1251, loss is 1.779294
- epoch time: 609793.403 ms, per step time: 487.445 ms
- ============== Starting Testing ==============
- epoch time: 609312.273 ms, per step time: 487.060 ms
- ============== Starting Testing ==============
- ============== result:{'loss': 1.7791325896214216, 'acc': 0.8009214743589743}, use_time:85.25551581382751 ==============
- The best acc is 0.8016225961538461
- ============== result:{'loss': 1.776668306803092, 'acc': 0.8011418269230769}, use_time:87.56155014038086 ==============
- The best acc is 0.8020032051282051
- ============== result:{'acc': 0.8000400641025641, 'loss': 1.7795841950636644}, use_time:87.78137540817261 ==============
- The best acc is 0.8015224358974359
- ============== result:{'loss': 1.7801627782674936, 'acc': 0.7997195512820513}, use_time:88.68835306167603 ==============
- The best acc is 0.8015625
- ============== result:{'acc': 0.8009615384615385, 'loss': 1.77762205631305}, use_time:89.11825442314148 ==============
- The best acc is 0.8018830128205128
- ============== result:{'acc': 0.8009214743589743, 'loss': 1.7784282989991016}, use_time:89.21748781204224 ==============
- The best acc is 0.8014423076923077
- ============== result:{'acc': 0.8001001602564103, 'loss': 1.7774875989327064}, use_time:89.50260376930237 ==============
- The best acc is 0.8015024038461539
- ============== result:{'acc': 0.8003004807692308, 'loss': 1.7760752369195987}, use_time:89.6561553478241 ==============
- The best acc is 0.8021233974358974
- epoch: 89 step: 1251, loss is 1.7160528epoch: 89 step: 1251, loss is 1.7242872
- epoch: 89 step: 1251, loss is 1.7742512
- epoch: 89 step: 1251, loss is 1.8338321
-
- epoch: 89 step: 1251, loss is 1.6480583epoch time: 613224.960 ms, per step time: 490.188 msepoch: 89 step: 1251, loss is 1.5490236
-
- ============== Starting Testing ==============
- epoch time: 608869.793 ms, per step time: 486.706 ms
- ============== Starting Testing ==============
- epoch time: 609841.666 ms, per step time: 487.483 ms
- ============== Starting Testing ==============
- epoch time: 610761.482 ms, per step time: 488.219 ms
- ============== Starting Testing ==============
- epoch: 89 step: 1251, loss is 1.6819371
- epoch time: 609274.891 ms, per step time: 487.030 ms
- ============== Starting Testing ==============
- epoch time: 611005.655 ms, per step time: 488.414 ms
- ============== Starting Testing ==============
- epoch: 89 step: 1251, loss is 1.6282729
-
- epoch time: 609086.396 ms, per step time: 486.880 ms
- ============== Starting Testing ==============
- epoch time: 609476.922 ms, per step time: 487.192 ms
- ============== Starting Testing ==============
- ============== result:{'acc': 0.8003605769230769, 'loss': 1.779546947356982}, use_time:84.05859017372131 ==============
- The best acc is 0.8014423076923077
- ============== result:{'loss': 1.7824025517854936, 'acc': 0.8000801282051282}, use_time:84.10613751411438 ==============
- The best acc is 0.8015625
- ============== result:{'loss': 1.7801680436501137, 'acc': 0.7999599358974359}, use_time:86.51071500778198 ==============
- The best acc is 0.8020032051282051
- ============== result:{'acc': 0.7997996794871794, 'loss': 1.781057764016665}, use_time:87.92591643333435 ==============
- The best acc is 0.8018830128205128
- ============== result:{'acc': 0.799599358974359, 'loss': 1.7820014427869748}, use_time:88.04739928245544 ==============
- The best acc is 0.8015224358974359
- ============== result:{'loss': 1.7801449430294527, 'acc': 0.7999399038461539}, use_time:88.64015769958496 ==============
- The best acc is 0.8016225961538461
- ============== result:{'acc': 0.7997596153846154, 'loss': 1.7828997718982207}, use_time:88.88845896720886 ==============
- The best acc is 0.8021233974358974
- ============== result:{'acc': 0.7997596153846154, 'loss': 1.7831861972808838}, use_time:88.88520407676697 ==============
- The best acc is 0.8015024038461539
- epoch: 90 step: 1251, loss is 1.7828187
- epoch: 90 step: 1251, loss is 1.5309169epoch: 90 step: 1251, loss is 1.6606479
- epoch: 90 step: 1251, loss is 1.5766833epoch: 90 step: 1251, loss is 1.562746
-
-
- epoch: 90 step: 1251, loss is 1.5562575
- epoch: 90 step: 1251, loss is 1.7276211
- epoch time: 608995.508 ms, per step time: 486.807 ms
- ============== Starting Testing ==============
- epoch time: 608697.516 ms, per step time: 486.569 msepoch time: 613560.210 ms, per step time: 490.456 ms
- ============== Starting Testing ==============
- epoch time: 611097.235 ms, per step time: 488.487 ms
- ============== Starting Testing ==============
- epoch time: 613531.106 ms, per step time: 490.433 ms
- ============== Starting Testing ==============
- epoch time: 609588.899 ms, per step time: 487.281 ms
-
- ============== Starting Testing ==============
- ============== Starting Testing ==============
- epoch time: 608763.190 ms, per step time: 486.621 ms
- ============== Starting Testing ==============
- epoch: 90 step: 1251, loss is 1.5969478
- epoch time: 609683.072 ms, per step time: 487.357 ms
- ============== Starting Testing ==============
- ============== result:{'loss': 1.7807160612864372, 'acc': 0.8005809294871795}, use_time:86.70918703079224 ==============
- The best acc is 0.8016225961538461
- ============== result:{'loss': 1.7789933840433756, 'acc': 0.8005208333333333}, use_time:87.00664353370667 ==============
- The best acc is 0.8020032051282051
- ============== result:{'acc': 0.8002804487179487, 'loss': 1.7794652862426563}, use_time:87.6731550693512 ==============
- The best acc is 0.8015224358974359
- ============== result:{'loss': 1.7798390376262176, 'acc': 0.8005809294871795}, use_time:88.40647602081299 ==============
- The best acc is 0.8015625
- ============== result:{'acc': 0.7999198717948718, 'loss': 1.7839374187665107}, use_time:88.40153884887695 ==============
- The best acc is 0.8018830128205128
- ============== result:{'acc': 0.7999599358974359, 'loss': 1.7796298302136935}, use_time:89.50607490539551 ==============
- The best acc is 0.8021233974358974
- ============== result:{'acc': 0.8005208333333333, 'loss': 1.7792611916859944}, use_time:89.97382235527039 ==============
- The best acc is 0.8014423076923077
- ============== result:{'acc': 0.8005809294871795, 'loss': 1.7794835900649046}, use_time:90.29163336753845 ==============
- The best acc is 0.8015024038461539
- epoch: 91 step: 1251, loss is 1.6437236
- epoch: 91 step: 1251, loss is 1.5515239
- epoch: 91 step: 1251, loss is 1.5482581
- epoch: 91 step: 1251, loss is 1.640213
- epoch: 91 step: 1251, loss is 1.6582373
- epoch: 91 step: 1251, loss is 1.559573
- epoch: 91 step: 1251, loss is 1.7262124
- epoch time: 612493.044 ms, per step time: 489.603 ms
- ============== Starting Testing ==============
- epoch time: 609226.308 ms, per step time: 486.991 msepoch time: 611524.273 ms, per step time: 488.828 ms
-
- epoch time: 609680.740 ms, per step time: 487.355 ms============== Starting Testing ==============
- ============== Starting Testing ==============
-
- epoch time: 612194.795 ms, per step time: 489.364 msepoch time: 610788.934 ms, per step time: 488.241 msepoch time: 610764.914 ms, per step time: 488.221 ms============== Starting Testing ==============
-
- ============== Starting Testing ==============
-
-
- ============== Starting Testing ==============
- ============== Starting Testing ==============
- epoch: 91 step: 1251, loss is 1.6953464
- epoch time: 608932.533 ms, per step time: 486.757 ms
- ============== Starting Testing ==============
- ============== result:{'acc': 0.8005208333333333, 'loss': 1.7779511231642502}, use_time:84.91388964653015 ==============
- The best acc is 0.8021233974358974
- ============== result:{'loss': 1.7791215175237411, 'acc': 0.8001001602564103}, use_time:85.2907235622406 ==============
- The best acc is 0.8015625
- ============== result:{'loss': 1.778369456376785, 'acc': 0.8003605769230769}, use_time:87.10473895072937 ==============
- The best acc is 0.8020032051282051
- ============== result:{'loss': 1.7787638801794785, 'acc': 0.8000600961538461}, use_time:87.5128927230835 ==============
- The best acc is 0.8016225961538461
- ============== result:{'acc': 0.8014423076923077, 'loss': 1.7749258203384204}, use_time:87.95659303665161 ==============
- The best acc is 0.8015224358974359
- ============== result:{'acc': 0.8004807692307693, 'loss': 1.7756043079571846}, use_time:88.3620855808258 ==============
- The best acc is 0.8014423076923077
- ============== result:{'acc': 0.800020032051282, 'loss': 1.7767807532579472}, use_time:88.33902168273926 ==============
- The best acc is 0.8015024038461539
- ============== result:{'acc': 0.8009615384615385, 'loss': 1.7747700079893454}, use_time:89.07380056381226 ==============
- The best acc is 0.8018830128205128
- epoch: 92 step: 1251, loss is 1.4753788epoch: 92 step: 1251, loss is 1.7178323epoch: 92 step: 1251, loss is 1.6491042
- epoch: 92 step: 1251, loss is 1.672468
-
- epoch time: 609844.109 ms, per step time: 487.485 ms
- ============== Starting Testing ==============
- epoch: 92 step: 1251, loss is 1.4583216epoch time: 609439.751 ms, per step time: 487.162 ms
-
- epoch time: 610696.348 ms, per step time: 488.167 ms============== Starting Testing ==============
- ============== Starting Testing ==============
-
- epoch: 92 step: 1251, loss is 1.5216908
- epoch time: 612903.005 ms, per step time: 489.930 ms
- ============== Starting Testing ==============
- epoch time: 609458.300 ms, per step time: 487.177 ms
- ============== Starting Testing ==============
- epoch: 92 step: 1251, loss is 1.634182
- epoch time: 610327.984 ms, per step time: 487.872 ms
- ============== Starting Testing ==============
- epoch: 92 step: 1251, loss is 1.6304886
-
- epoch time: 612566.260 ms, per step time: 489.661 ms
- ============== Starting Testing ==============epoch time: 608786.162 ms, per step time: 486.640 ms
-
- ============== Starting Testing ==============
- ============== result:{'loss': 1.7833973945715489, 'acc': 0.8008012820512821}, use_time:86.45185828208923 ==============
- The best acc is 0.8020032051282051
- ============== result:{'loss': 1.7813878829662617, 'acc': 0.8012620192307692}, use_time:86.88226222991943 ==============
- The best acc is 0.8016225961538461
- ============== result:{'loss': 1.7813788438454652, 'acc': 0.8012419871794871}, use_time:88.45392084121704 ==============
- The best acc is 0.8015625
- ============== result:{'acc': 0.8011217948717949, 'loss': 1.7809935426100707}, use_time:88.54755544662476 ==============
- The best acc is 0.8021233974358974
- ============== result:{'acc': 0.8010616987179487, 'loss': 1.7838277547787398}, use_time:88.9187388420105 ==============
- The best acc is 0.8015224358974359
- ============== result:{'acc': 0.8017427884615385, 'loss': 1.7813947610366039}, use_time:89.10926222801208 ==============
- =================save checkpoint....====================
- ============== result:{'acc': 0.8010216346153847, 'loss': 1.7817432828438589}, use_time:89.11837267875671 ==============
- The best acc is 0.8018830128205128
- ============== result:{'acc': 0.8016025641025641, 'loss': 1.787124920808352}, use_time:89.52158451080322 ==============
- =================save checkpoint....====================
- ==============save checkpoint finished===================
- The best acc is 0.8017427884615385
- ==============save checkpoint finished===================
- The best acc is 0.8016025641025641
- epoch: 93 step: 1251, loss is 1.9753275
- epoch: 93 step: 1251, loss is 1.4986594epoch: 93 step: 1251, loss is 1.7064687epoch: 93 step: 1251, loss is 1.7173755
-
-
- epoch: 93 step: 1251, loss is 1.8500932
- epoch: 93 step: 1251, loss is 1.6734704
- epoch time: 616377.649 ms, per step time: 492.708 ms
- ============== Starting Testing ==============
- epoch time: 618844.427 ms, per step time: 494.680 ms
- ============== Starting Testing ==============
- epoch time: 616734.050 ms, per step time: 492.993 msepoch time: 616784.625 ms, per step time: 493.033 ms
- epoch time: 608375.525 ms, per step time: 486.311 ms
-
- ============== Starting Testing ============================ Starting Testing ==============
-
- ============== Starting Testing ==============
- epoch time: 618385.651 ms, per step time: 494.313 ms
- ============== Starting Testing ==============epoch: 93 step: 1251, loss is 1.6166441
-
- epoch: 93 step: 1251, loss is 1.7382942
- epoch time: 608477.253 ms, per step time: 486.393 ms
- ============== Starting Testing ==============
- epoch time: 616155.776 ms, per step time: 492.531 ms
- ============== Starting Testing ==============
- ============== result:{'loss': 1.7821819592744876, 'acc': 0.8003004807692308}, use_time:87.20790433883667 ==============
- The best acc is 0.8020032051282051
- ============== result:{'acc': 0.7998998397435897, 'loss': 1.7835419884094825}, use_time:87.29442024230957 ==============
- The best acc is 0.8015224358974359
- ============== result:{'loss': 1.7798184688274676, 'acc': 0.7997596153846154}, use_time:87.51679563522339 ==============
- The best acc is 0.8016225961538461
- ============== result:{'loss': 1.7816269926535777, 'acc': 0.7999198717948718}, use_time:88.54281544685364 ==============
- The best acc is 0.8015625
- ============== result:{'acc': 0.8003806089743589, 'loss': 1.776618885382628}, use_time:88.79192543029785 ==============
- The best acc is 0.8018830128205128
- ============== result:{'acc': 0.8002604166666667, 'loss': 1.7787996389927008}, use_time:88.8531219959259 ==============
- The best acc is 0.8017427884615385
- ============== result:{'acc': 0.8001802884615384, 'loss': 1.7804860472679138}, use_time:89.61909675598145 ==============
- The best acc is 0.8016025641025641
- ============== result:{'acc': 0.8005008012820513, 'loss': 1.776330189521496}, use_time:89.80088400840759 ==============
- The best acc is 0.8021233974358974
- epoch: 94 step: 1251, loss is 1.8940977epoch: 94 step: 1251, loss is 1.6156223
- epoch: 94 step: 1251, loss is 1.7965555epoch: 94 step: 1251, loss is 1.6996123
-
- epoch: 94 step: 1251, loss is 1.5913787epoch: 94 step: 1251, loss is 1.6328787
-
-
- epoch: 94 step: 1251, loss is 1.5733409
- epoch time: 611822.030 ms, per step time: 489.066 ms
- ============== Starting Testing ==============
- epoch time: 609314.747 ms, per step time: 487.062 msepoch time: 611909.775 ms, per step time: 489.137 ms
- ============== Starting Testing ==============
-
- ============== Starting Testing ==============
- epoch time: 610290.783 ms, per step time: 487.842 msepoch time: 611594.556 ms, per step time: 488.885 ms
- ============== Starting Testing ==============
- ============== Starting Testing ==============
-
- epoch time: 610239.664 ms, per step time: 487.801 ms
- ============== Starting Testing ==============
- epoch time: 610579.305 ms, per step time: 488.073 ms
- ============== Starting Testing ==============
- epoch: 94 step: 1251, loss is 1.572212
- epoch time: 609524.727 ms, per step time: 487.230 ms
- ============== Starting Testing ==============
- ============== result:{'loss': 1.7830104858447344, 'acc': 0.8002804487179487}, use_time:85.94274306297302 ==============
- The best acc is 0.8015625
- ============== result:{'loss': 1.7795543206043734, 'acc': 0.7999599358974359}, use_time:86.73757219314575 ==============
- The best acc is 0.8016225961538461
- ============== result:{'loss': 1.7784612808472071, 'acc': 0.8003605769230769}, use_time:86.93795657157898 ==============
- The best acc is 0.8020032051282051
- ============== result:{'acc': 0.8003605769230769, 'loss': 1.7783757353440308}, use_time:88.31820487976074 ==============
- The best acc is 0.8015224358974359
- ============== result:{'acc': 0.8007211538461538, 'loss': 1.7782678170081896}, use_time:88.33135294914246 ==============
- The best acc is 0.8021233974358974
- ============== result:{'acc': 0.8007411858974359, 'loss': 1.7770817863635529}, use_time:88.51130843162537 ==============
- The best acc is 0.8016025641025641
- ============== result:{'acc': 0.8004607371794872, 'loss': 1.7812213610380123}, use_time:89.4465012550354 ==============
- The best acc is 0.8017427884615385
- ============== result:{'acc': 0.8015024038461539, 'loss': 1.7766304697745885}, use_time:89.51602149009705 ==============
- The best acc is 0.8018830128205128
- epoch: 95 step: 1251, loss is 1.6158956epoch: 95 step: 1251, loss is 1.5779276
- epoch: 95 step: 1251, loss is 1.5565174
-
- epoch: 95 step: 1251, loss is 1.7545615
- epoch: 95 step: 1251, loss is 1.7507565
- epoch: 95 step: 1251, loss is 1.5261482epoch: 95 step: 1251, loss is 1.658874
-
- epoch: 95 step: 1251, loss is 1.5563767
- epoch time: 610396.167 ms, per step time: 487.927 ms
- ============== Starting Testing ==============
- epoch time: 610171.731 ms, per step time: 487.747 ms
- epoch time: 610383.783 ms, per step time: 487.917 ms============== Starting Testing ==============
- epoch time: 609263.841 ms, per step time: 487.021 ms
- ============== Starting Testing ==============
-
- epoch time: 612767.009 ms, per step time: 489.822 ms============== Starting Testing ==============
- ============== Starting Testing ==============
- epoch time: 611976.354 ms, per step time: 489.190 ms
- epoch time: 609191.829 ms, per step time: 486.964 ms
- ============== Starting Testing ==============
-
- epoch time: 611777.622 ms, per step time: 489.031 ms============== Starting Testing ==============
-
- ============== Starting Testing ==============
- ============== result:{'loss': 1.7799256526506864, 'acc': 0.8007211538461538}, use_time:87.14594769477844 ==============
- The best acc is 0.8020032051282051
- ============== result:{'loss': 1.777360468950027, 'acc': 0.8008814102564102}, use_time:87.56724834442139 ==============
- The best acc is 0.8016225961538461
- ============== result:{'acc': 0.8017027243589744, 'loss': 1.7748092856162634}, use_time:88.13484692573547 ==============
- The best acc is 0.8021233974358974
- ============== result:{'loss': 1.7787745741697458, 'acc': 0.8010817307692307}, use_time:88.19155406951904 ==============
- The best acc is 0.8015625
- ============== result:{'acc': 0.8008012820512821, 'loss': 1.78169338733722}, use_time:88.75796699523926 ==============
- The best acc is 0.8015224358974359
- ============== result:{'acc': 0.8007612179487179, 'loss': 1.7811505357424418}, use_time:89.17800283432007 ==============
- The best acc is 0.8017427884615385
- ============== result:{'acc': 0.7999599358974359, 'loss': 1.7823350771879538}, use_time:89.21912431716919 ==============
- The best acc is 0.8016025641025641
- ============== result:{'acc': 0.8003806089743589, 'loss': 1.7825017122121958}, use_time:89.51804161071777 ==============
- The best acc is 0.8018830128205128
- epoch: 96 step: 1251, loss is 1.5371671epoch: 96 step: 1251, loss is 1.7597892
-
- epoch: 96 step: 1251, loss is 1.5842048
- epoch: 96 step: 1251, loss is 1.5930411
- epoch: 96 step: 1251, loss is 1.594933
- epoch: 96 step: 1251, loss is 1.8266934
- epoch: 96 step: 1251, loss is 1.8101103epoch: 96 step: 1251, loss is 1.6075244
-
- epoch time: 611263.212 ms, per step time: 488.620 ms
- ============== Starting Testing ==============
- epoch time: 609615.804 ms, per step time: 487.303 ms
- epoch time: 610642.623 ms, per step time: 488.124 msepoch time: 610081.581 ms, per step time: 487.675 ms============== Starting Testing ==============
-
-
- ============== Starting Testing ==============
- epoch time: 611686.155 ms, per step time: 488.958 ms============== Starting Testing ==============
- ============== Starting Testing ==============
- epoch time: 609315.464 ms, per step time: 487.063 ms
-
- epoch time: 609658.790 ms, per step time: 487.337 ms============== Starting Testing ==============
- epoch time: 610704.110 ms, per step time: 488.173 ms
- ============== Starting Testing ==============
-
- ============== Starting Testing ==============
- ============== result:{'loss': 1.7831357717514038, 'acc': 0.7997596153846154}, use_time:86.93863415718079 ==============
- The best acc is 0.8020032051282051
- ============== result:{'loss': 1.7785655874472397, 'acc': 0.8004206730769231}, use_time:87.03761315345764 ==============
- The best acc is 0.8016225961538461
- ============== result:{'acc': 0.8003004807692308, 'loss': 1.778747694308941}, use_time:88.02554631233215 ==============
- The best acc is 0.8021233974358974
- ============== result:{'acc': 0.7996794871794872, 'loss': 1.7819699256848067}, use_time:88.1686749458313 ==============
- The best acc is 0.8015224358974359
- ============== result:{'acc': 0.8001802884615384, 'loss': 1.779699783753126}, use_time:88.29471468925476 ==============
- The best acc is 0.8017427884615385
- ============== result:{'acc': 0.7995192307692308, 'loss': 1.7802647343048683}, use_time:88.75651669502258 ==============
- The best acc is 0.8018830128205128
- ============== result:{'acc': 0.8, 'loss': 1.7800857559228556}, use_time:88.88385963439941 ==============
- The best acc is 0.8016025641025641
- ============== result:{'loss': 1.7802110763696524, 'acc': 0.7994591346153846}, use_time:89.49972414970398 ==============
- The best acc is 0.8015625
- epoch: 97 step: 1251, loss is 1.6322472
- epoch: 97 step: 1251, loss is 1.8123007
- epoch: 97 step: 1251, loss is 1.6550181
- epoch: 97 step: 1251, loss is 1.7116506
- epoch: 97 step: 1251, loss is 1.627122
- epoch: 97 step: 1251, loss is 1.5974617
- epoch: 97 step: 1251, loss is 1.7473215
- epoch: 97 step: 1251, loss is 1.646061
- epoch time: 608934.729 ms, per step time: 486.758 ms
- ============== Starting Testing ==============
- epoch time: 610068.712 ms, per step time: 487.665 ms
- ============== Starting Testing ==============
- epoch time: 608221.166 ms, per step time: 486.188 ms
- ============== Starting Testing ==============
- epoch time: 609075.069 ms, per step time: 486.871 ms
- ============== Starting Testing ==============
- epoch time: 608806.862 ms, per step time: 486.656 ms
- ============== Starting Testing ==============
- epoch time: 608345.676 ms, per step time: 486.288 ms
- ============== Starting Testing ==============
- epoch time: 610165.054 ms, per step time: 487.742 ms
- ============== Starting Testing ==============
- epoch time: 607602.957 ms, per step time: 485.694 ms
- ============== Starting Testing ==============
- ============== result:{'loss': 1.7842479577431312, 'acc': 0.8000400641025641}, use_time:84.81410026550293 ==============
- The best acc is 0.8016225961538461
- ============== result:{'loss': 1.7814233324466608, 'acc': 0.8002804487179487}, use_time:86.39435768127441 ==============
- The best acc is 0.8020032051282051
-
- ============== result:{'acc': 0.8002403846153846, 'loss': 1.7791003957772866}, use_time:88.84152960777283 ==============
- The best acc is 0.8015224358974359
-
- ============== result:{'acc': 0.8000801282051282, 'loss': 1.7831190949831253}, use_time:89.60942602157593 ==============
- The best acc is 0.8018830128205128
- ============== result:{'acc': 0.8, 'loss': 1.7825506989772504}, use_time:89.64779210090637 ==============
- The best acc is 0.8021233974358974
- ============== result:{'loss': 1.7796990709427076, 'acc': 0.8004407051282051}, use_time:89.9817910194397 ==============
- The best acc is 0.8015625
- ============== result:{'acc': 0.799198717948718, 'loss': 1.7842854615969537}, use_time:90.39053130149841 ==============
- The best acc is 0.8017427884615385
- ============== result:{'acc': 0.8006009615384615, 'loss': 1.7805769064487555}, use_time:90.75335478782654 ==============
- The best acc is 0.8016025641025641
-
-
-
-
-
-
- [Modelarts Service Log]2021-11-30 11:10:11,054 - INFO - Begin destroy training processes
- [Modelarts Service Log]2021-11-30 11:10:11,055 - INFO - proc-rank-7-device-7 (pid: 117) has exited
- [Modelarts Service Log]2021-11-30 11:10:11,056 - INFO - proc-rank-6-device-6 (pid: 115) has exited
- [Modelarts Service Log]2021-11-30 11:10:11,056 - INFO - proc-rank-5-device-5 (pid: 113) has exited
- [Modelarts Service Log]2021-11-30 11:10:11,056 - INFO - proc-rank-4-device-4 (pid: 111) has exited
- [Modelarts Service Log]2021-11-30 11:10:11,056 - INFO - proc-rank-3-device-3 (pid: 109) has exited
- [Modelarts Service Log]2021-11-30 11:10:11,056 - INFO - proc-rank-2-device-2 (pid: 107) has exited
- [Modelarts Service Log]2021-11-30 11:10:11,056 - INFO - proc-rank-1-device-1 (pid: 105) has exited
- [Modelarts Service Log]2021-11-30 11:10:11,057 - INFO - proc-rank-0-device-0 (pid: 103) has exited
- [Modelarts Service Log]2021-11-30 11:10:11,057 - INFO - End destroy training processes
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