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Get:1 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64  InRelease [1581 B]
Err:1 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64  InRelease
  The following signatures couldn't be verified because the public key is not available: NO_PUBKEY A4B469963BF863CC
Hit:2 http://archive.ubuntu.com/ubuntu focal InRelease
Get:3 http://archive.ubuntu.com/ubuntu focal-updates InRelease [114 kB]
Ign:4 https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu2004/x86_64  InRelease
Hit:5 https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu2004/x86_64  Release
Get:6 http://archive.ubuntu.com/ubuntu focal-backports InRelease [108 kB]
Get:8 http://security.ubuntu.com/ubuntu focal-security InRelease [114 kB]
Get:9 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 Packages [2786 kB]
Get:10 http://archive.ubuntu.com/ubuntu focal-updates/multiverse amd64 Packages [30.2 kB]
Get:11 http://archive.ubuntu.com/ubuntu focal-updates/universe amd64 Packages [1268 kB]
Get:12 http://archive.ubuntu.com/ubuntu focal-updates/restricted amd64 Packages [1829 kB]
Get:13 http://archive.ubuntu.com/ubuntu focal-backports/main amd64 Packages [55.2 kB]
Get:14 http://archive.ubuntu.com/ubuntu focal-backports/universe amd64 Packages [27.4 kB]
Get:15 http://security.ubuntu.com/ubuntu focal-security/universe amd64 Packages [967 kB]
Get:16 http://security.ubuntu.com/ubuntu focal-security/restricted amd64 Packages [1712 kB]
Get:17 http://security.ubuntu.com/ubuntu focal-security/main amd64 Packages [2315 kB]
Get:18 http://security.ubuntu.com/ubuntu focal-security/multiverse amd64 Packages [27.5 kB]
Reading package lists...
W: GPG error: https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64  InRelease: The following signatures couldn't be verified because the public key is not available: NO_PUBKEY A4B469963BF863CC
E: The repository 'https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64  InRelease' is no longer signed.
Reading package lists...
Building dependency tree...
Reading state information...
The following additional packages will be installed:
  dbus fontconfig fontconfig-config fonts-dejavu-core i965-va-driver
  intel-media-va-driver libaacs0 libaom0 libapparmor1 libass9 libasyncns0
  libavc1394-0 libavcodec58 libavdevice58 libavfilter7 libavformat58
  libavresample4 libavutil56 libbdplus0 libbluray2 libbs2b0 libbsd0 libcaca0
  libcairo-gobject2 libcairo2 libcdio-cdda2 libcdio-paranoia2 libcdio18
  libchromaprint1 libcodec2-0.9 libdatrie1 libdbus-1-3 libdc1394-22
  libdrm-amdgpu1 libdrm-common libdrm-intel1 libdrm-nouveau2 libdrm-radeon1
  libdrm2 libedit2 libelf1 libfftw3-double3 libflac8 libflite1 libfontconfig1
  libfreetype6 libfribidi0 libgdk-pixbuf2.0-0 libgdk-pixbuf2.0-bin
  libgdk-pixbuf2.0-common libgl1 libgl1-mesa-dri libglapi-mesa libglib2.0-0
  libglib2.0-data libglvnd0 libglx-mesa0 libglx0 libgme0 libgraphite2-3
  libgsm1 libharfbuzz0b libice6 libiec61883-0 libigdgmm11 libjack-jackd2-0
  libjbig0 liblilv-0-0 libllvm12 libmp3lame0 libmpg123-0 libmysofa1 libnorm1
  libnuma1 libopenal-data libopenal1 libopenjp2-7 libopenmpt0 libopus0
  libpango-1.0-0 libpangocairo-1.0-0 libpangoft2-1.0-0 libpciaccess0
  libpgm-5.2-0 libpixman-1-0 libpostproc55 libpulse0 libraw1394-11 librsvg2-2
  librsvg2-common librubberband2 libsamplerate0 libsdl2-2.0-0
  libsensors-config libsensors5 libserd-0-0 libshine3 libslang2 libsnappy1v5
  libsndfile1 libsndio7.0 libsodium23 libsord-0-0 libsoxr0 libspeex1
  libsratom-0-0 libssh-gcrypt-4 libswresample3 libswscale5 libthai-data
  libthai0 libtheora0 libtiff5 libtwolame0 libusb-1.0-0 libva-drm2 libva-x11-2
  libva2 libvdpau1 libvidstab1.1 libvorbisenc2 libvpx6 libvulkan1 libwavpack1
  libwayland-client0 libwayland-cursor0 libwayland-egl1 libwebp6 libwebpmux3
  libwrap0 libx11-6 libx11-data libx11-xcb1 libx264-155 libx265-179 libxau6
  libxcb-dri2-0 libxcb-dri3-0 libxcb-glx0 libxcb-present0 libxcb-randr0
  libxcb-render0 libxcb-shape0 libxcb-shm0 libxcb-sync1 libxcb-xfixes0 libxcb1
  libxcursor1 libxdmcp6 libxfixes3 libxi6 libxinerama1 libxkbcommon0
  libxrandr2 libxrender1 libxshmfence1 libxss1 libxv1 libxvidcore4 libxxf86vm1
  libzmq5 libzvbi-common libzvbi0 mesa-va-drivers mesa-vdpau-drivers
  mesa-vulkan-drivers ocl-icd-libopencl1 shared-mime-info ucf va-driver-all
  vdpau-driver-all x11-common xdg-user-dirs xkb-data
Suggested packages:
  default-dbus-session-bus | dbus-session-bus ffmpeg-doc
  i965-va-driver-shaders libbluray-bdj libfftw3-bin libfftw3-dev jackd2
  libportaudio2 opus-tools pciutils pulseaudio libraw1394-doc librsvg2-bin
  lm-sensors serdi sndiod sordi speex opencl-icd libvdpau-va-gl1
  nvidia-vdpau-driver nvidia-legacy-340xx-vdpau-driver
  nvidia-legacy-304xx-vdpau-driver
The following NEW packages will be installed:
  dbus ffmpeg fontconfig fontconfig-config fonts-dejavu-core i965-va-driver
  intel-media-va-driver libaacs0 libaom0 libapparmor1 libass9 libasyncns0
  libavc1394-0 libavcodec58 libavdevice58 libavfilter7 libavformat58
  libavresample4 libavutil56 libbdplus0 libbluray2 libbs2b0 libbsd0 libcaca0
  libcairo-gobject2 libcairo2 libcdio-cdda2 libcdio-paranoia2 libcdio18
  libchromaprint1 libcodec2-0.9 libdatrie1 libdbus-1-3 libdc1394-22
  libdrm-amdgpu1 libdrm-common libdrm-intel1 libdrm-nouveau2 libdrm-radeon1
  libdrm2 libedit2 libelf1 libfftw3-double3 libflac8 libflite1 libfontconfig1
  libfreetype6 libfribidi0 libgdk-pixbuf2.0-0 libgdk-pixbuf2.0-bin
  libgdk-pixbuf2.0-common libgl1 libgl1-mesa-dri libglapi-mesa libglib2.0-0
  libglib2.0-data libglvnd0 libglx-mesa0 libglx0 libgme0 libgraphite2-3
  libgsm1 libharfbuzz0b libice6 libiec61883-0 libigdgmm11 libjack-jackd2-0
  libjbig0 liblilv-0-0 libllvm12 libmp3lame0 libmpg123-0 libmysofa1 libnorm1
  libnuma1 libopenal-data libopenal1 libopenjp2-7 libopenmpt0 libopus0
  libpango-1.0-0 libpangocairo-1.0-0 libpangoft2-1.0-0 libpciaccess0
  libpgm-5.2-0 libpixman-1-0 libpostproc55 libpulse0 libraw1394-11 librsvg2-2
  librsvg2-common librubberband2 libsamplerate0 libsdl2-2.0-0
  libsensors-config libsensors5 libserd-0-0 libshine3 libslang2 libsm6
  libsnappy1v5 libsndfile1 libsndio7.0 libsodium23 libsord-0-0 libsoxr0
  libspeex1 libsratom-0-0 libssh-gcrypt-4 libswresample3 libswscale5
  libthai-data libthai0 libtheora0 libtiff5 libtwolame0 libusb-1.0-0
  libva-drm2 libva-x11-2 libva2 libvdpau1 libvidstab1.1 libvorbisenc2 libvpx6
  libvulkan1 libwavpack1 libwayland-client0 libwayland-cursor0 libwayland-egl1
  libwebp6 libwebpmux3 libwrap0 libx11-6 libx11-data libx11-xcb1 libx264-155
  libx265-179 libxau6 libxcb-dri2-0 libxcb-dri3-0 libxcb-glx0 libxcb-present0
  libxcb-randr0 libxcb-render0 libxcb-shape0 libxcb-shm0 libxcb-sync1
  libxcb-xfixes0 libxcb1 libxcursor1 libxdmcp6 libxext6 libxfixes3 libxi6
  libxinerama1 libxkbcommon0 libxrandr2 libxrender1 libxshmfence1 libxss1
  libxv1 libxvidcore4 libxxf86vm1 libzmq5 libzvbi-common libzvbi0
  mesa-va-drivers mesa-vdpau-drivers mesa-vulkan-drivers ocl-icd-libopencl1
  shared-mime-info ucf va-driver-all vdpau-driver-all x11-common xdg-user-dirs
  xkb-data
0 upgraded, 177 newly installed, 0 to remove and 149 not upgraded.
Need to get 97.3 MB of archives.
After this operation, 788 MB of additional disk space will be used.
Get:1 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libapparmor1 amd64 2.13.3-7ubuntu5.1 [34.1 kB]
Get:2 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libdbus-1-3 amd64 1.12.16-2ubuntu2.3 [179 kB]
Get:3 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 dbus amd64 1.12.16-2ubuntu2.3 [151 kB]
Get:4 http://archive.ubuntu.com/ubuntu focal/main amd64 libbsd0 amd64 0.10.0-1 [45.4 kB]
Get:5 http://archive.ubuntu.com/ubuntu focal/main amd64 libelf1 amd64 0.176-1.1build1 [44.0 kB]
Get:6 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libfribidi0 amd64 1.0.8-2ubuntu0.1 [24.2 kB]
Get:7 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libglib2.0-0 amd64 2.64.6-1~ubuntu20.04.4 [1287 kB]
Get:8 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libglib2.0-data all 2.64.6-1~ubuntu20.04.4 [6052 B]
Get:9 http://archive.ubuntu.com/ubuntu focal/main amd64 libslang2 amd64 2.3.2-4 [429 kB]
Get:10 http://archive.ubuntu.com/ubuntu focal/main amd64 libsodium23 amd64 1.0.18-1 [150 kB]
Get:11 http://archive.ubuntu.com/ubuntu focal/main amd64 shared-mime-info amd64 1.15-1 [430 kB]
Get:12 http://archive.ubuntu.com/ubuntu focal/main amd64 ucf all 3.0038+nmu1 [51.6 kB]
Get:13 http://archive.ubuntu.com/ubuntu focal/main amd64 xdg-user-dirs amd64 0.17-2ubuntu1 [48.3 kB]
Get:14 http://archive.ubuntu.com/ubuntu focal/main amd64 xkb-data all 2.29-2 [349 kB]
Get:15 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libdrm-common all 2.4.107-8ubuntu1~20.04.2 [5396 B]
Get:16 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libdrm2 amd64 2.4.107-8ubuntu1~20.04.2 [34.1 kB]
Get:17 http://archive.ubuntu.com/ubuntu focal/main amd64 libedit2 amd64 3.1-20191231-1 [87.0 kB]
Get:18 http://archive.ubuntu.com/ubuntu focal/main amd64 libnuma1 amd64 2.0.12-1 [20.8 kB]
Get:19 http://archive.ubuntu.com/ubuntu focal/main amd64 libusb-1.0-0 amd64 2:1.0.23-2build1 [46.5 kB]
Get:20 http://archive.ubuntu.com/ubuntu focal/main amd64 libxau6 amd64 1:1.0.9-0ubuntu1 [7488 B]
Get:21 http://archive.ubuntu.com/ubuntu focal/main amd64 libxdmcp6 amd64 1:1.1.3-0ubuntu1 [10.6 kB]
Get:22 http://archive.ubuntu.com/ubuntu focal/main amd64 libxcb1 amd64 1.14-2 [44.7 kB]
Get:23 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libx11-data all 2:1.6.9-2ubuntu1.2 [113 kB]
Get:24 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libx11-6 amd64 2:1.6.9-2ubuntu1.2 [575 kB]
Get:25 http://archive.ubuntu.com/ubuntu focal/main amd64 libxext6 amd64 2:1.3.4-0ubuntu1 [29.1 kB]
Get:26 http://archive.ubuntu.com/ubuntu focal/universe amd64 libaom0 amd64 1.0.0.errata1-3build1 [1160 kB]
Get:27 http://archive.ubuntu.com/ubuntu focal/universe amd64 libva2 amd64 2.7.0-2 [53.5 kB]
Get:28 http://archive.ubuntu.com/ubuntu focal/universe amd64 libva-drm2 amd64 2.7.0-2 [7044 B]
Get:29 http://archive.ubuntu.com/ubuntu focal/main amd64 libxfixes3 amd64 1:5.0.3-2 [10.9 kB]
Get:30 http://archive.ubuntu.com/ubuntu focal/universe amd64 libva-x11-2 amd64 2.7.0-2 [11.9 kB]
Get:31 http://archive.ubuntu.com/ubuntu focal/main amd64 libvdpau1 amd64 1.3-1ubuntu2 [25.6 kB]
Get:32 http://archive.ubuntu.com/ubuntu focal/main amd64 ocl-icd-libopencl1 amd64 2.2.11-1ubuntu1 [30.3 kB]
Get:33 http://archive.ubuntu.com/ubuntu focal-updates/universe amd64 libavutil56 amd64 7:4.2.7-0ubuntu0.1 [241 kB]
Get:34 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libfreetype6 amd64 2.10.1-2ubuntu0.2 [341 kB]
Get:35 http://archive.ubuntu.com/ubuntu focal/main amd64 fonts-dejavu-core all 2.37-1 [1041 kB]
Get:36 http://archive.ubuntu.com/ubuntu focal/main amd64 fontconfig-config all 2.13.1-2ubuntu3 [28.8 kB]
Get:37 http://archive.ubuntu.com/ubuntu focal/main amd64 libfontconfig1 amd64 2.13.1-2ubuntu3 [114 kB]
Get:38 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libpixman-1-0 amd64 0.38.4-0ubuntu2.1 [227 kB]
Get:39 http://archive.ubuntu.com/ubuntu focal/main amd64 libxcb-render0 amd64 1.14-2 [14.8 kB]
Get:40 http://archive.ubuntu.com/ubuntu focal/main amd64 libxcb-shm0 amd64 1.14-2 [5584 B]
Get:41 http://archive.ubuntu.com/ubuntu focal/main amd64 libxrender1 amd64 1:0.9.10-1 [18.7 kB]
Get:42 http://archive.ubuntu.com/ubuntu focal/main amd64 libcairo2 amd64 1.16.0-4ubuntu1 [583 kB]
Get:43 http://archive.ubuntu.com/ubuntu focal/universe amd64 libcodec2-0.9 amd64 0.9.2-2 [7886 kB]
Get:44 http://archive.ubuntu.com/ubuntu focal/universe amd64 libgsm1 amd64 1.0.18-2 [24.4 kB]
Get:45 http://archive.ubuntu.com/ubuntu focal/main amd64 libmp3lame0 amd64 3.100-3 [133 kB]
Get:46 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libopenjp2-7 amd64 2.3.1-1ubuntu4.20.04.1 [141 kB]
Get:47 http://archive.ubuntu.com/ubuntu focal/main amd64 libopus0 amd64 1.3.1-0ubuntu1 [191 kB]
Get:48 http://archive.ubuntu.com/ubuntu focal/main amd64 libcairo-gobject2 amd64 1.16.0-4ubuntu1 [17.2 kB]
Get:49 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libjbig0 amd64 2.1-3.1ubuntu0.20.04.1 [27.3 kB]
Get:50 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libwebp6 amd64 0.6.1-2ubuntu0.20.04.1 [185 kB]
Get:51 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libtiff5 amd64 4.1.0+git191117-2ubuntu0.20.04.6 [163 kB]
Get:52 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libgdk-pixbuf2.0-common all 2.40.0+dfsg-3ubuntu0.4 [4592 B]
Get:53 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libgdk-pixbuf2.0-0 amd64 2.40.0+dfsg-3ubuntu0.4 [168 kB]
Get:54 http://archive.ubuntu.com/ubuntu focal/main amd64 fontconfig amd64 2.13.1-2ubuntu3 [171 kB]
Get:55 http://archive.ubuntu.com/ubuntu focal/main amd64 libgraphite2-3 amd64 1.3.13-11build1 [73.5 kB]
Get:56 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libharfbuzz0b amd64 2.6.4-1ubuntu4.2 [391 kB]
Get:57 http://archive.ubuntu.com/ubuntu focal/main amd64 libthai-data all 0.1.28-3 [134 kB]
Get:58 http://archive.ubuntu.com/ubuntu focal/main amd64 libdatrie1 amd64 0.2.12-3 [18.7 kB]
Get:59 http://archive.ubuntu.com/ubuntu focal/main amd64 libthai0 amd64 0.1.28-3 [18.1 kB]
Get:60 http://archive.ubuntu.com/ubuntu focal/main amd64 libpango-1.0-0 amd64 1.44.7-2ubuntu4 [162 kB]
Get:61 http://archive.ubuntu.com/ubuntu focal/main amd64 libpangoft2-1.0-0 amd64 1.44.7-2ubuntu4 [34.9 kB]
Get:62 http://archive.ubuntu.com/ubuntu focal/main amd64 libpangocairo-1.0-0 amd64 1.44.7-2ubuntu4 [24.8 kB]
Get:63 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 librsvg2-2 amd64 2.48.9-1ubuntu0.20.04.1 [2253 kB]
Get:64 http://archive.ubuntu.com/ubuntu focal/universe amd64 libshine3 amd64 3.1.1-2 [23.2 kB]
Get:65 http://archive.ubuntu.com/ubuntu focal/main amd64 libsnappy1v5 amd64 1.1.8-1build1 [16.7 kB]
Get:66 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libspeex1 amd64 1.2~rc1.2-1.1ubuntu1.20.04.1 [53.2 kB]
Get:67 http://archive.ubuntu.com/ubuntu focal/main amd64 libsoxr0 amd64 0.1.3-2build1 [78.0 kB]
Get:68 http://archive.ubuntu.com/ubuntu focal-updates/universe amd64 libswresample3 amd64 7:4.2.7-0ubuntu0.1 [57.1 kB]
Get:69 http://archive.ubuntu.com/ubuntu focal/main amd64 libtheora0 amd64 1.1.1+dfsg.1-15ubuntu2 [162 kB]
Get:70 http://archive.ubuntu.com/ubuntu focal/main amd64 libtwolame0 amd64 0.4.0-2 [47.6 kB]
Get:71 http://archive.ubuntu.com/ubuntu focal/main amd64 libvorbisenc2 amd64 1.3.6-2ubuntu1 [70.7 kB]
Get:72 http://archive.ubuntu.com/ubuntu focal/main amd64 libvpx6 amd64 1.8.2-1build1 [820 kB]
Get:73 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libwavpack1 amd64 5.2.0-1ubuntu0.1 [77.3 kB]
Get:74 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libwebpmux3 amd64 0.6.1-2ubuntu0.20.04.1 [19.5 kB]
Get:75 http://archive.ubuntu.com/ubuntu focal/universe amd64 libx264-155 amd64 2:0.155.2917+git0a84d98-2 [521 kB]
Get:76 http://archive.ubuntu.com/ubuntu focal/universe amd64 libx265-179 amd64 3.2.1-1build1 [1060 kB]
Get:77 http://archive.ubuntu.com/ubuntu focal/universe amd64 libxvidcore4 amd64 2:1.3.7-1 [201 kB]
Get:78 http://archive.ubuntu.com/ubuntu focal/universe amd64 libzvbi-common all 0.2.35-17 [32.5 kB]
Get:79 http://archive.ubuntu.com/ubuntu focal/universe amd64 libzvbi0 amd64 0.2.35-17 [237 kB]
Get:80 http://archive.ubuntu.com/ubuntu focal-updates/universe amd64 libavcodec58 amd64 7:4.2.7-0ubuntu0.1 [4878 kB]
Get:81 http://archive.ubuntu.com/ubuntu focal/main amd64 libraw1394-11 amd64 2.1.2-1 [30.7 kB]
Get:82 http://archive.ubuntu.com/ubuntu focal/main amd64 libavc1394-0 amd64 0.5.4-5 [16.2 kB]
Get:83 http://archive.ubuntu.com/ubuntu focal/universe amd64 libass9 amd64 1:0.14.0-2 [88.0 kB]
Get:84 http://archive.ubuntu.com/ubuntu focal/universe amd64 libbluray2 amd64 1:1.2.0-1 [138 kB]
Get:85 http://archive.ubuntu.com/ubuntu focal/universe amd64 libchromaprint1 amd64 1.4.3-3build1 [37.6 kB]
Get:86 http://archive.ubuntu.com/ubuntu focal/universe amd64 libgme0 amd64 0.6.2-1build1 [123 kB]
Get:87 http://archive.ubuntu.com/ubuntu focal/main amd64 libmpg123-0 amd64 1.25.13-1 [124 kB]
Get:88 http://archive.ubuntu.com/ubuntu focal/universe amd64 libopenmpt0 amd64 0.4.11-1build1 [599 kB]
Get:89 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libssh-gcrypt-4 amd64 0.9.3-2ubuntu2.2 [202 kB]
Get:90 http://archive.ubuntu.com/ubuntu focal-updates/universe amd64 libavformat58 amd64 7:4.2.7-0ubuntu0.1 [985 kB]
Get:91 http://archive.ubuntu.com/ubuntu focal/universe amd64 libbs2b0 amd64 3.1.0+dfsg-2.2build1 [10.2 kB]
Get:92 http://archive.ubuntu.com/ubuntu focal/universe amd64 libflite1 amd64 2.1-release-3 [12.8 MB]
Get:93 http://archive.ubuntu.com/ubuntu focal/universe amd64 libserd-0-0 amd64 0.30.2-1 [46.6 kB]
Get:94 http://archive.ubuntu.com/ubuntu focal/universe amd64 libsord-0-0 amd64 0.16.4-1 [19.5 kB]
Get:95 http://archive.ubuntu.com/ubuntu focal/universe amd64 libsratom-0-0 amd64 0.6.4-1 [16.9 kB]
Get:96 http://archive.ubuntu.com/ubuntu focal-updates/universe amd64 liblilv-0-0 amd64 0.24.6-1ubuntu0.1 [40.6 kB]
Get:97 http://archive.ubuntu.com/ubuntu focal/universe amd64 libmysofa1 amd64 1.0~dfsg0-1 [39.2 kB]
Get:98 http://archive.ubuntu.com/ubuntu focal-updates/universe amd64 libpostproc55 amd64 7:4.2.7-0ubuntu0.1 [55.0 kB]
Get:99 http://archive.ubuntu.com/ubuntu focal/main amd64 libfftw3-double3 amd64 3.3.8-2ubuntu1 [728 kB]
Get:100 http://archive.ubuntu.com/ubuntu focal/main amd64 libsamplerate0 amd64 0.1.9-2 [939 kB]
Get:101 http://archive.ubuntu.com/ubuntu focal/universe amd64 librubberband2 amd64 1.8.2-1build1 [89.4 kB]
Get:102 http://archive.ubuntu.com/ubuntu focal-updates/universe amd64 libswscale5 amd64 7:4.2.7-0ubuntu0.1 [157 kB]
Get:103 http://archive.ubuntu.com/ubuntu focal/universe amd64 libvidstab1.1 amd64 1.1.0-2 [35.0 kB]
Get:104 http://archive.ubuntu.com/ubuntu focal/universe amd64 libnorm1 amd64 1.5.8+dfsg2-2build1 [290 kB]
Get:105 http://archive.ubuntu.com/ubuntu focal/universe amd64 libpgm-5.2-0 amd64 5.2.122~dfsg-3ubuntu1 [158 kB]
Get:106 http://archive.ubuntu.com/ubuntu focal/universe amd64 libzmq5 amd64 4.3.2-2ubuntu1 [242 kB]
Get:107 http://archive.ubuntu.com/ubuntu focal-updates/universe amd64 libavfilter7 amd64 7:4.2.7-0ubuntu0.1 [1085 kB]
Get:108 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libcaca0 amd64 0.99.beta19-2.1ubuntu1.20.04.2 [203 kB]
Get:109 http://archive.ubuntu.com/ubuntu focal/main amd64 libcdio18 amd64 2.0.0-2 [58.6 kB]
Get:110 http://archive.ubuntu.com/ubuntu focal/main amd64 libcdio-cdda2 amd64 10.2+2.0.0-1 [17.6 kB]
Get:111 http://archive.ubuntu.com/ubuntu focal/main amd64 libcdio-paranoia2 amd64 10.2+2.0.0-1 [16.2 kB]
Get:112 http://archive.ubuntu.com/ubuntu focal/universe amd64 libdc1394-22 amd64 2.2.5-2.1 [79.6 kB]
Get:113 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libglvnd0 amd64 1.3.2-1~ubuntu0.20.04.2 [48.1 kB]
Get:114 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libglapi-mesa amd64 21.2.6-0ubuntu0.1~20.04.2 [27.4 kB]
Get:115 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libx11-xcb1 amd64 2:1.6.9-2ubuntu1.2 [9372 B]
Get:116 http://archive.ubuntu.com/ubuntu focal/main amd64 libxcb-dri2-0 amd64 1.14-2 [6920 B]
Get:117 http://archive.ubuntu.com/ubuntu focal/main amd64 libxcb-dri3-0 amd64 1.14-2 [6552 B]
Get:118 http://archive.ubuntu.com/ubuntu focal/main amd64 libxcb-glx0 amd64 1.14-2 [22.1 kB]
Get:119 http://archive.ubuntu.com/ubuntu focal/main amd64 libxcb-present0 amd64 1.14-2 [5560 B]
Get:120 http://archive.ubuntu.com/ubuntu focal/main amd64 libxcb-sync1 amd64 1.14-2 [8884 B]
Get:121 http://archive.ubuntu.com/ubuntu focal/main amd64 libxcb-xfixes0 amd64 1.14-2 [9296 B]
Get:122 http://archive.ubuntu.com/ubuntu focal/main amd64 libxshmfence1 amd64 1.3-1 [5028 B]
Get:123 http://archive.ubuntu.com/ubuntu focal/main amd64 libxxf86vm1 amd64 1:1.1.4-1build1 [10.2 kB]
Get:124 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libdrm-amdgpu1 amd64 2.4.107-8ubuntu1~20.04.2 [18.6 kB]
Get:125 http://archive.ubuntu.com/ubuntu focal/main amd64 libpciaccess0 amd64 0.16-0ubuntu1 [17.9 kB]
Get:126 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libdrm-intel1 amd64 2.4.107-8ubuntu1~20.04.2 [60.3 kB]
Get:127 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libdrm-nouveau2 amd64 2.4.107-8ubuntu1~20.04.2 [16.6 kB]
Get:128 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libdrm-radeon1 amd64 2.4.107-8ubuntu1~20.04.2 [19.7 kB]
Get:129 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libllvm12 amd64 1:12.0.0-3ubuntu1~20.04.5 [18.8 MB]
Get:130 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libsensors-config all 1:3.6.0-2ubuntu1.1 [6052 B]
Get:131 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libsensors5 amd64 1:3.6.0-2ubuntu1.1 [27.2 kB]
Get:132 http://archive.ubuntu.com/ubuntu focal/main amd64 libvulkan1 amd64 1.2.131.2-1 [93.3 kB]
Get:133 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libgl1-mesa-dri amd64 21.2.6-0ubuntu0.1~20.04.2 [11.0 MB]
Get:134 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libglx-mesa0 amd64 21.2.6-0ubuntu0.1~20.04.2 [137 kB]
Get:135 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libglx0 amd64 1.3.2-1~ubuntu0.20.04.2 [32.5 kB]
Get:136 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libgl1 amd64 1.3.2-1~ubuntu0.20.04.2 [85.8 kB]
Get:137 http://archive.ubuntu.com/ubuntu focal/main amd64 libiec61883-0 amd64 1.2.0-3 [24.3 kB]
Get:138 http://archive.ubuntu.com/ubuntu focal/main amd64 libjack-jackd2-0 amd64 1.9.12~dfsg-2ubuntu2 [267 kB]
Get:139 http://archive.ubuntu.com/ubuntu focal/universe amd64 libopenal-data all 1:1.19.1-1 [162 kB]
Get:140 http://archive.ubuntu.com/ubuntu focal/universe amd64 libsndio7.0 amd64 1.5.0-3 [24.5 kB]
Get:141 http://archive.ubuntu.com/ubuntu focal/universe amd64 libopenal1 amd64 1:1.19.1-1 [492 kB]
Get:142 http://archive.ubuntu.com/ubuntu focal/main amd64 libasyncns0 amd64 0.8-6 [12.1 kB]
Get:143 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libflac8 amd64 1.3.3-1ubuntu0.1 [103 kB]
Get:144 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libsndfile1 amd64 1.0.28-7ubuntu0.1 [170 kB]
Get:145 http://archive.ubuntu.com/ubuntu focal/main amd64 libwrap0 amd64 7.6.q-30 [46.3 kB]
Get:146 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libpulse0 amd64 1:13.99.1-1ubuntu3.13 [262 kB]
Get:147 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libwayland-client0 amd64 1.18.0-1ubuntu0.1 [23.9 kB]
Get:148 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libwayland-cursor0 amd64 1.18.0-1ubuntu0.1 [10.3 kB]
Get:149 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libwayland-egl1 amd64 1.18.0-1ubuntu0.1 [5596 B]
Get:150 http://archive.ubuntu.com/ubuntu focal/main amd64 libxcursor1 amd64 1:1.2.0-2 [20.1 kB]
Get:151 http://archive.ubuntu.com/ubuntu focal/main amd64 libxi6 amd64 2:1.7.10-0ubuntu1 [29.9 kB]
Get:152 http://archive.ubuntu.com/ubuntu focal/main amd64 libxinerama1 amd64 2:1.1.4-2 [6904 B]
Get:153 http://archive.ubuntu.com/ubuntu focal/main amd64 libxkbcommon0 amd64 0.10.0-1 [98.4 kB]
Get:154 http://archive.ubuntu.com/ubuntu focal/main amd64 libxrandr2 amd64 2:1.5.2-0ubuntu1 [18.5 kB]
Get:155 http://archive.ubuntu.com/ubuntu focal/main amd64 x11-common all 1:7.7+19ubuntu14 [22.3 kB]
Get:156 http://archive.ubuntu.com/ubuntu focal/main amd64 libxss1 amd64 1:1.2.3-1 [8140 B]
Get:157 http://archive.ubuntu.com/ubuntu focal/universe amd64 libsdl2-2.0-0 amd64 2.0.10+dfsg1-3 [407 kB]
Get:158 http://archive.ubuntu.com/ubuntu focal/main amd64 libxcb-shape0 amd64 1.14-2 [5928 B]
Get:159 http://archive.ubuntu.com/ubuntu focal/main amd64 libxv1 amd64 2:1.0.11-1 [10.7 kB]
Get:160 http://archive.ubuntu.com/ubuntu focal-updates/universe amd64 libavdevice58 amd64 7:4.2.7-0ubuntu0.1 [74.3 kB]
Get:161 http://archive.ubuntu.com/ubuntu focal-updates/universe amd64 libavresample4 amd64 7:4.2.7-0ubuntu0.1 [54.2 kB]
Get:162 http://archive.ubuntu.com/ubuntu focal-updates/universe amd64 ffmpeg amd64 7:4.2.7-0ubuntu0.1 [1453 kB]
Get:163 http://archive.ubuntu.com/ubuntu focal/universe amd64 libigdgmm11 amd64 20.1.1+ds1-1 [111 kB]
Get:164 http://archive.ubuntu.com/ubuntu focal/universe amd64 intel-media-va-driver amd64 20.1.1+dfsg1-1 [1764 kB]
Get:165 http://archive.ubuntu.com/ubuntu focal/universe amd64 libaacs0 amd64 0.9.0-2 [50.1 kB]
Get:166 http://archive.ubuntu.com/ubuntu focal/universe amd64 libbdplus0 amd64 0.1.2-3 [47.3 kB]
Get:167 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libgdk-pixbuf2.0-bin amd64 2.40.0+dfsg-3ubuntu0.4 [14.1 kB]
Get:168 http://archive.ubuntu.com/ubuntu focal/main amd64 libice6 amd64 2:1.0.10-0ubuntu1 [41.0 kB]
Get:169 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 librsvg2-common amd64 2.48.9-1ubuntu0.20.04.1 [9212 B]
Get:170 http://archive.ubuntu.com/ubuntu focal/main amd64 libsm6 amd64 2:1.2.3-1 [16.1 kB]
Get:171 http://archive.ubuntu.com/ubuntu focal/main amd64 libxcb-randr0 amd64 1.14-2 [16.3 kB]
Get:172 http://archive.ubuntu.com/ubuntu focal-updates/universe amd64 mesa-va-drivers amd64 21.2.6-0ubuntu0.1~20.04.2 [2970 kB]
Get:173 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 mesa-vdpau-drivers amd64 21.2.6-0ubuntu0.1~20.04.2 [3089 kB]
Get:174 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 mesa-vulkan-drivers amd64 21.2.6-0ubuntu0.1~20.04.2 [5788 kB]
Get:175 http://archive.ubuntu.com/ubuntu focal/universe amd64 i965-va-driver amd64 2.4.0-0ubuntu1 [924 kB]
Get:176 http://archive.ubuntu.com/ubuntu focal/universe amd64 va-driver-all amd64 2.7.0-2 [4020 B]
Get:177 http://archive.ubuntu.com/ubuntu focal/main amd64 vdpau-driver-all amd64 1.3-1ubuntu2 [4596 B]
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Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.8/dist-packages (from requests->transformers->-r requirements.txt (line 4)) (3.2)
Requirement already satisfied: charset-normalizer~=2.0.0 in /usr/local/lib/python3.8/dist-packages (from requests->transformers->-r requirements.txt (line 4)) (2.0.1)
Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.8/dist-packages (from requests->transformers->-r requirements.txt (line 4)) (2021.5.30)
Building wheels for collected packages: pycocotools
  Building wheel for pycocotools (PEP 517): started
  Building wheel for pycocotools (PEP 517): finished with status 'done'
  Created wheel for pycocotools: filename=pycocotools-2.0.6-cp38-cp38-linux_x86_64.whl size=422967 sha256=a11912c7f9acd183d134eb90bb5d44e583656da9b0fd6289a2f175296431d175
  Stored in directory: /root/.cache/pip/wheels/3e/08/ac/58126fe59992032701437336493f6132e1b72381a62d00b595
Successfully built pycocotools
Installing collected packages: kiwisolver, fonttools, cycler, contourpy, matplotlib, tokenizers, ruamel.yaml.clib, regex, pycocotools, huggingface-hub, transformers, tabulate, ruamel-yaml, pycocoevalcap, opencv-python
Successfully installed contourpy-1.0.6 cycler-0.11.0 fonttools-4.38.0 huggingface-hub-0.11.1 kiwisolver-1.4.4 matplotlib-3.6.2 opencv-python-4.6.0.66 pycocoevalcap-1.2 pycocotools-2.0.6 regex-2022.10.31 ruamel-yaml-0.17.21 ruamel.yaml.clib-0.2.7 tabulate-0.9.0 tokenizers-0.13.2 transformers-4.24.0
WARNING: Running pip as root will break packages and permissions. You should install packages reliably by using venv: https://pip.pypa.io/warnings/venv
WARNING: You are using pip version 21.1.2; however, version 22.3.1 is available.
You should consider upgrading via the '/usr/bin/python -m pip install --upgrade pip' command.
move pretrained weights...
move finished...
args.rank 6 args.world_size 8 args.gpu 6
get_rank() 0
args.rank 0 args.world_size 8 args.gpu 0
get_rank() 0
args.rank 2 args.world_size 8 args.gpu 2
get_rank() 0
args.rank 1 args.world_size 8 args.gpu 1
get_rank() 0
args.rank 5 args.world_size 8 args.gpu 5
get_rank() 0
args.rank 7 args.world_size 8 args.gpu 7
get_rank() 0
args.rank 4 args.world_size 8 args.gpu 4
get_rank() 0
args.rank 3 args.world_size 8 args.gpu 3
get_rank() 0
| distributed init (rank 3): env://| distributed init (rank 7): env://

| distributed init (rank 6): env://| distributed init (rank 4): env://

| distributed init (rank 0): env://| distributed init (rank 2): env://

| distributed init (rank 5): env://| distributed init (rank 1): env://

Creating dataset
{'train_file': ['metadata/4M_corpus.tsv'], 'laion_path': '', 'vit': 'base', 'vit_grad_ckpt': False, 'vit_ckpt_layer': 0, 'image_size': 224, 'batch_size': 75, 'queue_size': 57600, 'alpha': 0.4, 'weight_decay': 0.05, 'init_lr': 0.0003, 'min_lr': 1e-06, 'warmup_lr': 1e-06, 'lr_decay_rate': 0.9, 'max_epoch': 20, 'warmup_steps': 3000}
number of training samples: 3892775
==================================================
time now is: 
2022/11/30 09:17:12
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Start training
Train Epoch: [0]  [   0/6487]  eta: 12:53:24  lr: 0.000001  loss_ita: 11.2070  loss_itm: 0.6918  loss_lm: 9.3950  time: 7.1534  data: 3.2488  max mem: 32469
Train Epoch: [0]  [ 200/6487]  eta: 1:21:21  lr: 0.000021  loss_ita: 8.7081  loss_itm: 0.6232  loss_lm: 3.9060  time: 0.7376  data: 0.0001  max mem: 35422
Train Epoch: [0]  [ 400/6487]  eta: 1:16:53  lr: 0.000041  loss_ita: 6.3436  loss_itm: 0.5747  loss_lm: 3.2684  time: 0.7401  data: 0.0001  max mem: 35423
Train Epoch: [0]  [ 600/6487]  eta: 1:13:43  lr: 0.000061  loss_ita: 4.5703  loss_itm: 0.4853  loss_lm: 2.8006  time: 0.7373  data: 0.0001  max mem: 35423
Train Epoch: [0]  [ 800/6487]  eta: 1:10:54  lr: 0.000081  loss_ita: 3.7895  loss_itm: 0.4834  loss_lm: 2.7843  time: 0.7377  data: 0.0001  max mem: 35424
Train Epoch: [0]  [1000/6487]  eta: 1:08:14  lr: 0.000101  loss_ita: 3.2758  loss_itm: 0.4532  loss_lm: 2.7531  time: 0.7378  data: 0.0001  max mem: 35424
Train Epoch: [0]  [1200/6487]  eta: 1:05:37  lr: 0.000121  loss_ita: 2.7111  loss_itm: 0.3072  loss_lm: 2.5168  time: 0.7368  data: 0.0001  max mem: 35424
Train Epoch: [0]  [1400/6487]  eta: 1:03:03  lr: 0.000141  loss_ita: 2.7243  loss_itm: 0.3181  loss_lm: 2.3886  time: 0.7374  data: 0.0001  max mem: 35424
Train Epoch: [0]  [1600/6487]  eta: 1:00:30  lr: 0.000160  loss_ita: 2.3479  loss_itm: 0.3693  loss_lm: 2.1627  time: 0.7367  data: 0.0001  max mem: 35425
Train Epoch: [0]  [1800/6487]  eta: 0:57:58  lr: 0.000180  loss_ita: 2.5948  loss_itm: 0.3334  loss_lm: 2.4601  time: 0.7369  data: 0.0001  max mem: 35425
Train Epoch: [0]  [2000/6487]  eta: 0:55:27  lr: 0.000200  loss_ita: 2.1107  loss_itm: 0.2792  loss_lm: 2.3453  time: 0.7368  data: 0.0001  max mem: 35425
Train Epoch: [0]  [2200/6487]  eta: 0:52:57  lr: 0.000220  loss_ita: 2.7138  loss_itm: 0.3507  loss_lm: 2.2907  time: 0.7374  data: 0.0001  max mem: 35425
Train Epoch: [0]  [2400/6487]  eta: 0:50:28  lr: 0.000240  loss_ita: 2.5635  loss_itm: 0.3207  loss_lm: 2.6083  time: 0.7379  data: 0.0001  max mem: 35425
Train Epoch: [0]  [2600/6487]  eta: 0:47:59  lr: 0.000260  loss_ita: 2.5612  loss_itm: 0.2829  loss_lm: 2.3234  time: 0.7386  data: 0.0001  max mem: 35425
Train Epoch: [0]  [2800/6487]  eta: 0:45:29  lr: 0.000280  loss_ita: 2.3603  loss_itm: 0.2728  loss_lm: 2.1472  time: 0.7372  data: 0.0001  max mem: 35425
Train Epoch: [0]  [3000/6487]  eta: 0:43:01  lr: 0.000300  loss_ita: 1.7122  loss_itm: 0.2383  loss_lm: 2.1417  time: 0.7363  data: 0.0001  max mem: 35425
Train Epoch: [0]  [3200/6487]  eta: 0:40:32  lr: 0.000300  loss_ita: 2.7937  loss_itm: 0.2899  loss_lm: 2.3063  time: 0.7372  data: 0.0001  max mem: 35425
Train Epoch: [0]  [3400/6487]  eta: 0:38:03  lr: 0.000300  loss_ita: 2.2351  loss_itm: 0.2529  loss_lm: 2.1992  time: 0.7375  data: 0.0001  max mem: 35425
Train Epoch: [0]  [3600/6487]  eta: 0:35:35  lr: 0.000300  loss_ita: 2.2594  loss_itm: 0.2712  loss_lm: 2.3608  time: 0.7364  data: 0.0001  max mem: 35425
Train Epoch: [0]  [3800/6487]  eta: 0:33:07  lr: 0.000300  loss_ita: 2.4493  loss_itm: 0.2253  loss_lm: 1.9538  time: 0.7360  data: 0.0001  max mem: 35425
Train Epoch: [0]  [4000/6487]  eta: 0:30:38  lr: 0.000300  loss_ita: 2.3495  loss_itm: 0.2865  loss_lm: 2.2835  time: 0.7375  data: 0.0001  max mem: 35425
Train Epoch: [0]  [4200/6487]  eta: 0:28:10  lr: 0.000300  loss_ita: 2.5754  loss_itm: 0.2906  loss_lm: 2.0625  time: 0.7373  data: 0.0001  max mem: 35425
Train Epoch: [0]  [4400/6487]  eta: 0:25:42  lr: 0.000300  loss_ita: 2.9969  loss_itm: 0.3352  loss_lm: 2.3172  time: 0.7361  data: 0.0001  max mem: 35425
Train Epoch: [0]  [4600/6487]  eta: 0:23:14  lr: 0.000300  loss_ita: 2.8265  loss_itm: 0.2375  loss_lm: 2.1741  time: 0.7380  data: 0.0001  max mem: 35425
Train Epoch: [0]  [4800/6487]  eta: 0:20:46  lr: 0.000300  loss_ita: 2.5768  loss_itm: 0.2373  loss_lm: 2.1323  time: 0.7365  data: 0.0001  max mem: 35425
Train Epoch: [0]  [5000/6487]  eta: 0:18:18  lr: 0.000300  loss_ita: 2.7297  loss_itm: 0.2782  loss_lm: 2.2253  time: 0.7376  data: 0.0001  max mem: 35425
Train Epoch: [0]  [5200/6487]  eta: 0:15:50  lr: 0.000300  loss_ita: 2.2206  loss_itm: 0.1831  loss_lm: 2.0014  time: 0.7358  data: 0.0001  max mem: 35425
Train Epoch: [0]  [5400/6487]  eta: 0:13:23  lr: 0.000300  loss_ita: 2.5438  loss_itm: 0.2787  loss_lm: 2.3759  time: 0.7375  data: 0.0001  max mem: 35425
Train Epoch: [0]  [5600/6487]  eta: 0:10:55  lr: 0.000300  loss_ita: 2.5408  loss_itm: 0.2325  loss_lm: 2.2147  time: 0.7368  data: 0.0001  max mem: 35425
Train Epoch: [0]  [5800/6487]  eta: 0:08:27  lr: 0.000300  loss_ita: 2.7819  loss_itm: 0.2681  loss_lm: 2.1979  time: 0.7391  data: 0.0001  max mem: 35425
Train Epoch: [0]  [6000/6487]  eta: 0:05:59  lr: 0.000300  loss_ita: 2.2720  loss_itm: 0.1905  loss_lm: 2.0857  time: 0.7384  data: 0.0001  max mem: 35425
Train Epoch: [0]  [6200/6487]  eta: 0:03:32  lr: 0.000300  loss_ita: 2.3306  loss_itm: 0.1871  loss_lm: 1.8966  time: 0.7374  data: 0.0001  max mem: 35425
Train Epoch: [0]  [6400/6487]  eta: 0:01:04  lr: 0.000300  loss_ita: 3.0243  loss_itm: 0.3559  loss_lm: 2.2707  time: 0.7381  data: 0.0001  max mem: 35425
Train Epoch: [0]  [6486/6487]  eta: 0:00:00  lr: 0.000300  loss_ita: 2.6788  loss_itm: 0.2084  loss_lm: 2.1211  time: 0.7292  data: 0.0010  max mem: 35425
Train Epoch: [0] Total time: 1:19:53 (0.7390 s / it)
Averaged stats: lr: 0.0002  loss_ita: 3.0218  loss_itm: 0.3241  loss_lm: 2.4607
Train Epoch: [1]  [   0/6487]  eta: 7:15:55  lr: 0.000270  loss_ita: 2.3911  loss_itm: 0.2878  loss_lm: 2.0122  time: 4.0320  data: 3.0033  max mem: 36251
Train Epoch: [1]  [ 200/6487]  eta: 1:18:41  lr: 0.000270  loss_ita: 3.1407  loss_itm: 0.2768  loss_lm: 2.0846  time: 0.7337  data: 0.0001  max mem: 36264
Train Epoch: [1]  [ 400/6487]  eta: 1:15:17  lr: 0.000270  loss_ita: 2.8979  loss_itm: 0.2963  loss_lm: 2.3711  time: 0.7321  data: 0.0001  max mem: 36264
Train Epoch: [1]  [ 600/6487]  eta: 1:12:33  lr: 0.000270  loss_ita: 2.3409  loss_itm: 0.1673  loss_lm: 2.0826  time: 0.7357  data: 0.0001  max mem: 36268
Train Epoch: [1]  [ 800/6487]  eta: 1:09:59  lr: 0.000270  loss_ita: 2.9490  loss_itm: 0.2979  loss_lm: 2.1208  time: 0.7347  data: 0.0001  max mem: 36268
Train Epoch: [1]  [1000/6487]  eta: 1:07:27  lr: 0.000270  loss_ita: 2.9346  loss_itm: 0.2284  loss_lm: 1.9533  time: 0.7354  data: 0.0001  max mem: 36268
Train Epoch: [1]  [1200/6487]  eta: 1:04:56  lr: 0.000270  loss_ita: 2.9942  loss_itm: 0.2352  loss_lm: 2.1517  time: 0.7338  data: 0.0001  max mem: 36268
Train Epoch: [1]  [1400/6487]  eta: 1:02:27  lr: 0.000270  loss_ita: 2.8189  loss_itm: 0.2880  loss_lm: 2.0397  time: 0.7331  data: 0.0001  max mem: 36268
Train Epoch: [1]  [1600/6487]  eta: 0:59:58  lr: 0.000270  loss_ita: 1.9224  loss_itm: 0.2033  loss_lm: 1.9617  time: 0.7333  data: 0.0001  max mem: 36268
Train Epoch: [1]  [1800/6487]  eta: 0:57:29  lr: 0.000270  loss_ita: 2.4019  loss_itm: 0.2137  loss_lm: 2.2905  time: 0.7339  data: 0.0001  max mem: 36268
Train Epoch: [1]  [2000/6487]  eta: 0:55:01  lr: 0.000270  loss_ita: 2.0038  loss_itm: 0.1290  loss_lm: 1.9045  time: 0.7342  data: 0.0001  max mem: 36268
Train Epoch: [1]  [2200/6487]  eta: 0:52:33  lr: 0.000270  loss_ita: 3.0054  loss_itm: 0.2146  loss_lm: 2.1166  time: 0.7334  data: 0.0001  max mem: 36268
Train Epoch: [1]  [2400/6487]  eta: 0:50:05  lr: 0.000270  loss_ita: 2.5832  loss_itm: 0.2368  loss_lm: 1.8621  time: 0.7336  data: 0.0001  max mem: 36268
Train Epoch: [1]  [2600/6487]  eta: 0:47:38  lr: 0.000270  loss_ita: 2.3901  loss_itm: 0.1455  loss_lm: 2.0074  time: 0.7338  data: 0.0001  max mem: 36268
Train Epoch: [1]  [2800/6487]  eta: 0:45:10  lr: 0.000270  loss_ita: 2.5252  loss_itm: 0.2046  loss_lm: 1.9532  time: 0.7330  data: 0.0001  max mem: 36268
Train Epoch: [1]  [3000/6487]  eta: 0:42:43  lr: 0.000270  loss_ita: 2.8841  loss_itm: 0.2062  loss_lm: 2.1272  time: 0.7344  data: 0.0001  max mem: 36268
Train Epoch: [1]  [3200/6487]  eta: 0:40:16  lr: 0.000270  loss_ita: 2.5160  loss_itm: 0.1983  loss_lm: 2.0752  time: 0.7341  data: 0.0001  max mem: 36268
Train Epoch: [1]  [3400/6487]  eta: 0:37:48  lr: 0.000270  loss_ita: 2.7968  loss_itm: 0.2037  loss_lm: 2.1475  time: 0.7341  data: 0.0001  max mem: 36268
Train Epoch: [1]  [3600/6487]  eta: 0:35:21  lr: 0.000270  loss_ita: 2.5211  loss_itm: 0.1701  loss_lm: 1.9488  time: 0.7330  data: 0.0001  max mem: 36268
Train Epoch: [1]  [3800/6487]  eta: 0:32:54  lr: 0.000270  loss_ita: 2.1339  loss_itm: 0.1672  loss_lm: 2.1645  time: 0.7329  data: 0.0001  max mem: 36268
Train Epoch: [1]  [4000/6487]  eta: 0:30:27  lr: 0.000270  loss_ita: 2.6786  loss_itm: 0.2317  loss_lm: 1.9676  time: 0.7330  data: 0.0001  max mem: 36268
Train Epoch: [1]  [4200/6487]  eta: 0:28:00  lr: 0.000270  loss_ita: 2.4861  loss_itm: 0.2197  loss_lm: 2.1273  time: 0.7335  data: 0.0001  max mem: 36268
Train Epoch: [1]  [4400/6487]  eta: 0:25:33  lr: 0.000270  loss_ita: 2.6399  loss_itm: 0.2145  loss_lm: 2.0662  time: 0.7350  data: 0.0001  max mem: 36268
Train Epoch: [1]  [4600/6487]  eta: 0:23:06  lr: 0.000270  loss_ita: 2.5244  loss_itm: 0.1609  loss_lm: 1.7269  time: 0.7336  data: 0.0001  max mem: 36268
Train Epoch: [1]  [4800/6487]  eta: 0:20:39  lr: 0.000270  loss_ita: 2.9990  loss_itm: 0.2268  loss_lm: 2.0765  time: 0.7335  data: 0.0001  max mem: 36268
Train Epoch: [1]  [5000/6487]  eta: 0:18:12  lr: 0.000270  loss_ita: 2.6569  loss_itm: 0.1649  loss_lm: 1.9860  time: 0.7349  data: 0.0001  max mem: 36268
Train Epoch: [1]  [5200/6487]  eta: 0:15:45  lr: 0.000270  loss_ita: 3.0483  loss_itm: 0.2486  loss_lm: 1.9177  time: 0.7360  data: 0.0001  max mem: 36268
Train Epoch: [1]  [5400/6487]  eta: 0:13:18  lr: 0.000270  loss_ita: 2.7582  loss_itm: 0.1993  loss_lm: 1.9260  time: 0.7345  data: 0.0001  max mem: 36269
Train Epoch: [1]  [5600/6487]  eta: 0:10:51  lr: 0.000270  loss_ita: 2.2052  loss_itm: 0.1186  loss_lm: 1.9044  time: 0.7351  data: 0.0001  max mem: 36269
Train Epoch: [1]  [5800/6487]  eta: 0:08:24  lr: 0.000270  loss_ita: 3.0722  loss_itm: 0.2891  loss_lm: 2.1985  time: 0.7341  data: 0.0001  max mem: 36269
Train Epoch: [1]  [6000/6487]  eta: 0:05:57  lr: 0.000270  loss_ita: 2.5938  loss_itm: 0.1695  loss_lm: 1.9031  time: 0.7322  data: 0.0001  max mem: 36269
Train Epoch: [1]  [6200/6487]  eta: 0:03:30  lr: 0.000270  loss_ita: 2.4407  loss_itm: 0.1599  loss_lm: 1.8067  time: 0.7363  data: 0.0001  max mem: 36269
Train Epoch: [1]  [6400/6487]  eta: 0:01:03  lr: 0.000270  loss_ita: 2.8308  loss_itm: 0.1708  loss_lm: 1.9705  time: 0.7358  data: 0.0001  max mem: 36269
Train Epoch: [1]  [6486/6487]  eta: 0:00:00  lr: 0.000270  loss_ita: 2.7038  loss_itm: 0.1607  loss_lm: 2.0081  time: 0.7260  data: 0.0010  max mem: 36269
Train Epoch: [1] Total time: 1:19:26 (0.7348 s / it)
Averaged stats: lr: 0.0003  loss_ita: 2.5566  loss_itm: 0.2037  loss_lm: 2.0182
Train Epoch: [2]  [   0/6487]  eta: 8:15:26  lr: 0.000243  loss_ita: 2.4924  loss_itm: 0.2012  loss_lm: 1.8002  time: 4.5824  data: 2.6603  max mem: 36269
Train Epoch: [2]  [ 200/6487]  eta: 1:19:13  lr: 0.000243  loss_ita: 2.2753  loss_itm: 0.1687  loss_lm: 1.8551  time: 0.7347  data: 0.0001  max mem: 36269
Train Epoch: [2]  [ 400/6487]  eta: 1:15:38  lr: 0.000243  loss_ita: 2.7568  loss_itm: 0.1519  loss_lm: 1.9046  time: 0.7356  data: 0.0001  max mem: 36269
Train Epoch: [2]  [ 600/6487]  eta: 1:12:49  lr: 0.000243  loss_ita: 2.6242  loss_itm: 0.1504  loss_lm: 1.7327  time: 0.7352  data: 0.0001  max mem: 36269
Train Epoch: [2]  [ 800/6487]  eta: 1:10:10  lr: 0.000243  loss_ita: 2.8023  loss_itm: 0.2999  loss_lm: 2.0310  time: 0.7339  data: 0.0001  max mem: 36269
Train Epoch: [2]  [1000/6487]  eta: 1:07:36  lr: 0.000243  loss_ita: 2.3783  loss_itm: 0.1931  loss_lm: 1.9310  time: 0.7342  data: 0.0001  max mem: 36269
Train Epoch: [2]  [1200/6487]  eta: 1:05:04  lr: 0.000243  loss_ita: 2.3006  loss_itm: 0.1770  loss_lm: 1.8799  time: 0.7344  data: 0.0001  max mem: 36269
Train Epoch: [2]  [1400/6487]  eta: 1:02:34  lr: 0.000243  loss_ita: 2.2978  loss_itm: 0.1277  loss_lm: 1.8544  time: 0.7347  data: 0.0001  max mem: 36269
Train Epoch: [2]  [1600/6487]  eta: 1:00:04  lr: 0.000243  loss_ita: 2.4285  loss_itm: 0.1932  loss_lm: 1.9808  time: 0.7361  data: 0.0001  max mem: 36269
Train Epoch: [2]  [1800/6487]  eta: 0:57:36  lr: 0.000243  loss_ita: 2.1704  loss_itm: 0.1128  loss_lm: 1.6843  time: 0.7343  data: 0.0001  max mem: 36269
Train Epoch: [2]  [2000/6487]  eta: 0:55:07  lr: 0.000243  loss_ita: 2.4423  loss_itm: 0.1099  loss_lm: 1.9728  time: 0.7353  data: 0.0001  max mem: 36269
Train Epoch: [2]  [2200/6487]  eta: 0:52:39  lr: 0.000243  loss_ita: 2.8768  loss_itm: 0.2215  loss_lm: 1.9541  time: 0.7352  data: 0.0001  max mem: 36269
Train Epoch: [2]  [2400/6487]  eta: 0:50:11  lr: 0.000243  loss_ita: 2.5319  loss_itm: 0.2221  loss_lm: 1.8071  time: 0.7353  data: 0.0001  max mem: 36269
Train Epoch: [2]  [2600/6487]  eta: 0:47:43  lr: 0.000243  loss_ita: 2.8703  loss_itm: 0.1703  loss_lm: 1.9086  time: 0.7344  data: 0.0001  max mem: 36269
Train Epoch: [2]  [2800/6487]  eta: 0:45:15  lr: 0.000243  loss_ita: 2.8377  loss_itm: 0.2275  loss_lm: 1.9018  time: 0.7340  data: 0.0001  max mem: 36269
Train Epoch: [2]  [3000/6487]  eta: 0:42:47  lr: 0.000243  loss_ita: 2.4873  loss_itm: 0.2035  loss_lm: 1.9880  time: 0.7338  data: 0.0001  max mem: 36269
Train Epoch: [2]  [3200/6487]  eta: 0:40:20  lr: 0.000243  loss_ita: 2.1353  loss_itm: 0.1622  loss_lm: 1.8150  time: 0.7352  data: 0.0001  max mem: 36269
Train Epoch: [2]  [3400/6487]  eta: 0:37:52  lr: 0.000243  loss_ita: 2.5853  loss_itm: 0.1581  loss_lm: 1.8443  time: 0.7338  data: 0.0001  max mem: 36269
Train Epoch: [2]  [3600/6487]  eta: 0:35:25  lr: 0.000243  loss_ita: 2.5938  loss_itm: 0.1374  loss_lm: 1.9898  time: 0.7338  data: 0.0001  max mem: 36269
Train Epoch: [2]  [3800/6487]  eta: 0:32:57  lr: 0.000243  loss_ita: 2.5428  loss_itm: 0.1389  loss_lm: 1.8181  time: 0.7366  data: 0.0001  max mem: 36269
Train Epoch: [2]  [4000/6487]  eta: 0:30:30  lr: 0.000243  loss_ita: 2.6598  loss_itm: 0.1704  loss_lm: 1.8600  time: 0.7359  data: 0.0001  max mem: 36269
Train Epoch: [2]  [4200/6487]  eta: 0:28:03  lr: 0.000243  loss_ita: 2.4356  loss_itm: 0.1565  loss_lm: 1.8386  time: 0.7358  data: 0.0001  max mem: 36269
Train Epoch: [2]  [4400/6487]  eta: 0:25:35  lr: 0.000243  loss_ita: 2.4960  loss_itm: 0.2146  loss_lm: 1.7184  time: 0.7347  data: 0.0001  max mem: 36269
Train Epoch: [2]  [4600/6487]  eta: 0:23:08  lr: 0.000243  loss_ita: 2.7642  loss_itm: 0.2070  loss_lm: 1.7675  time: 0.7355  data: 0.0001  max mem: 36269
Train Epoch: [2]  [4800/6487]  eta: 0:20:41  lr: 0.000243  loss_ita: 2.4750  loss_itm: 0.2105  loss_lm: 1.9942  time: 0.7372  data: 0.0001  max mem: 36269
Train Epoch: [2]  [5000/6487]  eta: 0:18:14  lr: 0.000243  loss_ita: 3.1222  loss_itm: 0.2466  loss_lm: 2.1200  time: 0.7359  data: 0.0001  max mem: 36269
Train Epoch: [2]  [5200/6487]  eta: 0:15:47  lr: 0.000243  loss_ita: 2.1512  loss_itm: 0.1439  loss_lm: 1.9032  time: 0.7360  data: 0.0001  max mem: 36269
Train Epoch: [2]  [5400/6487]  eta: 0:13:19  lr: 0.000243  loss_ita: 2.7975  loss_itm: 0.2172  loss_lm: 2.0190  time: 0.7353  data: 0.0001  max mem: 36269
Train Epoch: [2]  [5600/6487]  eta: 0:10:52  lr: 0.000243  loss_ita: 2.2587  loss_itm: 0.1858  loss_lm: 1.8006  time: 0.7355  data: 0.0001  max mem: 36269
Train Epoch: [2]  [5800/6487]  eta: 0:08:25  lr: 0.000243  loss_ita: 2.5108  loss_itm: 0.2024  loss_lm: 1.8200  time: 0.7361  data: 0.0001  max mem: 36269
Train Epoch: [2]  [6000/6487]  eta: 0:05:58  lr: 0.000243  loss_ita: 2.1638  loss_itm: 0.1126  loss_lm: 1.7976  time: 0.7357  data: 0.0001  max mem: 36269
Train Epoch: [2]  [6200/6487]  eta: 0:03:31  lr: 0.000243  loss_ita: 2.0684  loss_itm: 0.1745  loss_lm: 1.8360  time: 0.7360  data: 0.0001  max mem: 36269
Train Epoch: [2]  [6400/6487]  eta: 0:01:04  lr: 0.000243  loss_ita: 2.8556  loss_itm: 0.1852  loss_lm: 1.9544  time: 0.7365  data: 0.0001  max mem: 36269
Train Epoch: [2]  [6486/6487]  eta: 0:00:00  lr: 0.000243  loss_ita: 2.6867  loss_itm: 0.1758  loss_lm: 2.0014  time: 0.7272  data: 0.0009  max mem: 36269
Train Epoch: [2] Total time: 1:19:34 (0.7361 s / it)
Averaged stats: lr: 0.0002  loss_ita: 2.5223  loss_itm: 0.1750  loss_lm: 1.9125
Train Epoch: [3]  [   0/6487]  eta: 7:52:26  lr: 0.000219  loss_ita: 2.5686  loss_itm: 0.1846  loss_lm: 1.7379  time: 4.3697  data: 2.6685  max mem: 36269
Train Epoch: [3]  [ 200/6487]  eta: 1:19:03  lr: 0.000219  loss_ita: 2.7897  loss_itm: 0.1516  loss_lm: 1.9577  time: 0.7347  data: 0.0001  max mem: 36269
Train Epoch: [3]  [ 400/6487]  eta: 1:15:37  lr: 0.000219  loss_ita: 2.5172  loss_itm: 0.1464  loss_lm: 1.6764  time: 0.7363  data: 0.0001  max mem: 36269
Train Epoch: [3]  [ 600/6487]  eta: 1:12:50  lr: 0.000219  loss_ita: 2.6786  loss_itm: 0.2183  loss_lm: 1.8619  time: 0.7367  data: 0.0001  max mem: 36269
Train Epoch: [3]  [ 800/6487]  eta: 1:10:13  lr: 0.000219  loss_ita: 2.6041  loss_itm: 0.2022  loss_lm: 1.8659  time: 0.7354  data: 0.0001  max mem: 36269
Train Epoch: [3]  [1000/6487]  eta: 1:07:39  lr: 0.000219  loss_ita: 2.9522  loss_itm: 0.1665  loss_lm: 2.0470  time: 0.7350  data: 0.0001  max mem: 36269
Train Epoch: [3]  [1200/6487]  eta: 1:05:08  lr: 0.000219  loss_ita: 2.5626  loss_itm: 0.1987  loss_lm: 1.7763  time: 0.7358  data: 0.0001  max mem: 36269
Train Epoch: [3]  [1400/6487]  eta: 1:02:37  lr: 0.000219  loss_ita: 2.4262  loss_itm: 0.1289  loss_lm: 1.8954  time: 0.7356  data: 0.0001  max mem: 36269
Train Epoch: [3]  [1600/6487]  eta: 1:00:07  lr: 0.000219  loss_ita: 1.9383  loss_itm: 0.0986  loss_lm: 1.7605  time: 0.7363  data: 0.0001  max mem: 36269
Train Epoch: [3]  [1800/6487]  eta: 0:57:38  lr: 0.000219  loss_ita: 2.3334  loss_itm: 0.1196  loss_lm: 1.7944  time: 0.7343  data: 0.0001  max mem: 36269
Train Epoch: [3]  [2000/6487]  eta: 0:55:09  lr: 0.000219  loss_ita: 2.6707  loss_itm: 0.1873  loss_lm: 1.6220  time: 0.7357  data: 0.0001  max mem: 36269
Train Epoch: [3]  [2200/6487]  eta: 0:52:41  lr: 0.000219  loss_ita: 2.3551  loss_itm: 0.1617  loss_lm: 1.9241  time: 0.7352  data: 0.0001  max mem: 36269
Train Epoch: [3]  [2400/6487]  eta: 0:50:13  lr: 0.000219  loss_ita: 2.2505  loss_itm: 0.1097  loss_lm: 1.6952  time: 0.7355  data: 0.0001  max mem: 36269
Train Epoch: [3]  [2600/6487]  eta: 0:47:44  lr: 0.000219  loss_ita: 2.6738  loss_itm: 0.1768  loss_lm: 1.9340  time: 0.7353  data: 0.0001  max mem: 36269
Train Epoch: [3]  [2800/6487]  eta: 0:45:16  lr: 0.000219  loss_ita: 2.4478  loss_itm: 0.1406  loss_lm: 1.9385  time: 0.7344  data: 0.0001  max mem: 36269
Train Epoch: [3]  [3000/6487]  eta: 0:42:48  lr: 0.000219  loss_ita: 2.1271  loss_itm: 0.1095  loss_lm: 1.6150  time: 0.7349  data: 0.0001  max mem: 36269
Train Epoch: [3]  [3200/6487]  eta: 0:40:21  lr: 0.000219  loss_ita: 2.5344  loss_itm: 0.1998  loss_lm: 2.0456  time: 0.7339  data: 0.0001  max mem: 36269
Train Epoch: [3]  [3400/6487]  eta: 0:37:53  lr: 0.000219  loss_ita: 2.2263  loss_itm: 0.1395  loss_lm: 1.9331  time: 0.7347  data: 0.0001  max mem: 36269
Train Epoch: [3]  [3600/6487]  eta: 0:35:25  lr: 0.000219  loss_ita: 2.1220  loss_itm: 0.1152  loss_lm: 1.7856  time: 0.7342  data: 0.0001  max mem: 36269
Train Epoch: [3]  [3800/6487]  eta: 0:32:58  lr: 0.000219  loss_ita: 2.0875  loss_itm: 0.1083  loss_lm: 1.8758  time: 0.7336  data: 0.0001  max mem: 36269
Train Epoch: [3]  [4000/6487]  eta: 0:30:30  lr: 0.000219  loss_ita: 2.5522  loss_itm: 0.1304  loss_lm: 1.8601  time: 0.7343  data: 0.0001  max mem: 36269
Train Epoch: [3]  [4200/6487]  eta: 0:28:03  lr: 0.000219  loss_ita: 2.1947  loss_itm: 0.1725  loss_lm: 1.9433  time: 0.7342  data: 0.0001  max mem: 36269
Train Epoch: [3]  [4400/6487]  eta: 0:25:36  lr: 0.000219  loss_ita: 2.7823  loss_itm: 0.2284  loss_lm: 2.0465  time: 0.7347  data: 0.0001  max mem: 36269
Train Epoch: [3]  [4600/6487]  eta: 0:23:08  lr: 0.000219  loss_ita: 2.4401  loss_itm: 0.1403  loss_lm: 1.7459  time: 0.7339  data: 0.0001  max mem: 36269
Train Epoch: [3]  [4800/6487]  eta: 0:20:41  lr: 0.000219  loss_ita: 2.5284  loss_itm: 0.1610  loss_lm: 2.0052  time: 0.7339  data: 0.0001  max mem: 36269
Train Epoch: [3]  [5000/6487]  eta: 0:18:14  lr: 0.000219  loss_ita: 2.1026  loss_itm: 0.1214  loss_lm: 1.7276  time: 0.7337  data: 0.0001  max mem: 36269
Train Epoch: [3]  [5200/6487]  eta: 0:15:46  lr: 0.000219  loss_ita: 2.5506  loss_itm: 0.1600  loss_lm: 1.9461  time: 0.7327  data: 0.0001  max mem: 36269
Train Epoch: [3]  [5400/6487]  eta: 0:13:19  lr: 0.000219  loss_ita: 2.7365  loss_itm: 0.1373  loss_lm: 2.1170  time: 0.7335  data: 0.0001  max mem: 36269
Train Epoch: [3]  [5600/6487]  eta: 0:10:52  lr: 0.000219  loss_ita: 2.2764  loss_itm: 0.1784  loss_lm: 1.7424  time: 0.7341  data: 0.0001  max mem: 36269
Train Epoch: [3]  [5800/6487]  eta: 0:08:25  lr: 0.000219  loss_ita: 2.1685  loss_itm: 0.1061  loss_lm: 1.7779  time: 0.7346  data: 0.0001  max mem: 36269
Train Epoch: [3]  [6000/6487]  eta: 0:05:58  lr: 0.000219  loss_ita: 2.4535  loss_itm: 0.1688  loss_lm: 1.7409  time: 0.7342  data: 0.0001  max mem: 36269
Train Epoch: [3]  [6200/6487]  eta: 0:03:31  lr: 0.000219  loss_ita: 1.9472  loss_itm: 0.1233  loss_lm: 1.8076  time: 0.7344  data: 0.0001  max mem: 36269
Train Epoch: [3]  [6400/6487]  eta: 0:01:03  lr: 0.000219  loss_ita: 2.4378  loss_itm: 0.1143  loss_lm: 1.7736  time: 0.7354  data: 0.0001  max mem: 36269
Train Epoch: [3]  [6486/6487]  eta: 0:00:00  lr: 0.000219  loss_ita: 2.6594  loss_itm: 0.1691  loss_lm: 2.0967  time: 0.7279  data: 0.0008  max mem: 36269
Train Epoch: [3] Total time: 1:19:31 (0.7356 s / it)
Averaged stats: lr: 0.0002  loss_ita: 2.4128  loss_itm: 0.1590  loss_lm: 1.8446
Train Epoch: [4]  [   0/6487]  eta: 8:17:56  lr: 0.000197  loss_ita: 2.3809  loss_itm: 0.1551  loss_lm: 2.0184  time: 4.6056  data: 2.9277  max mem: 36269
Train Epoch: [4]  [ 200/6487]  eta: 1:19:00  lr: 0.000197  loss_ita: 2.4078  loss_itm: 0.1477  loss_lm: 1.6877  time: 0.7339  data: 0.0001  max mem: 36269
Train Epoch: [4]  [ 400/6487]  eta: 1:15:29  lr: 0.000197  loss_ita: 2.2745  loss_itm: 0.1259  loss_lm: 1.7935  time: 0.7335  data: 0.0001  max mem: 36269
Train Epoch: [4]  [ 600/6487]  eta: 1:12:42  lr: 0.000197  loss_ita: 2.2296  loss_itm: 0.1418  loss_lm: 1.8975  time: 0.7350  data: 0.0001  max mem: 36269
Train Epoch: [4]  [ 800/6487]  eta: 1:10:04  lr: 0.000197  loss_ita: 2.4110  loss_itm: 0.1444  loss_lm: 1.7567  time: 0.7341  data: 0.0001  max mem: 36269
Train Epoch: [4]  [1000/6487]  eta: 1:07:30  lr: 0.000197  loss_ita: 2.4557  loss_itm: 0.1705  loss_lm: 1.4598  time: 0.7334  data: 0.0001  max mem: 36269
Train Epoch: [4]  [1200/6487]  eta: 1:04:59  lr: 0.000197  loss_ita: 2.5692  loss_itm: 0.1707  loss_lm: 1.7932  time: 0.7332  data: 0.0001  max mem: 36269
Train Epoch: [4]  [1400/6487]  eta: 1:02:28  lr: 0.000197  loss_ita: 2.4674  loss_itm: 0.1008  loss_lm: 1.6727  time: 0.7331  data: 0.0001  max mem: 36269
Train Epoch: [4]  [1600/6487]  eta: 0:59:59  lr: 0.000197  loss_ita: 2.9188  loss_itm: 0.2143  loss_lm: 2.0419  time: 0.7343  data: 0.0001  max mem: 36269
Train Epoch: [4]  [1800/6487]  eta: 0:57:30  lr: 0.000197  loss_ita: 2.3444  loss_itm: 0.1194  loss_lm: 1.6178  time: 0.7332  data: 0.0001  max mem: 36269
Train Epoch: [4]  [2000/6487]  eta: 0:55:02  lr: 0.000197  loss_ita: 2.1177  loss_itm: 0.1281  loss_lm: 1.6163  time: 0.7331  data: 0.0001  max mem: 36269
Train Epoch: [4]  [2200/6487]  eta: 0:52:34  lr: 0.000197  loss_ita: 2.6500  loss_itm: 0.1521  loss_lm: 1.8355  time: 0.7335  data: 0.0001  max mem: 36269
Train Epoch: [4]  [2400/6487]  eta: 0:50:06  lr: 0.000197  loss_ita: 2.2483  loss_itm: 0.1148  loss_lm: 1.8852  time: 0.7327  data: 0.0001  max mem: 36269
Train Epoch: [4]  [2600/6487]  eta: 0:47:38  lr: 0.000197  loss_ita: 2.6103  loss_itm: 0.2276  loss_lm: 1.7446  time: 0.7330  data: 0.0001  max mem: 36269
Train Epoch: [4]  [2800/6487]  eta: 0:45:11  lr: 0.000197  loss_ita: 2.2128  loss_itm: 0.2649  loss_lm: 1.7477  time: 0.7328  data: 0.0001  max mem: 36269
Train Epoch: [4]  [3000/6487]  eta: 0:42:43  lr: 0.000197  loss_ita: 2.4942  loss_itm: 0.1627  loss_lm: 1.7443  time: 0.7340  data: 0.0001  max mem: 36269
Train Epoch: [4]  [3200/6487]  eta: 0:40:15  lr: 0.000197  loss_ita: 2.2752  loss_itm: 0.1348  loss_lm: 1.7133  time: 0.7328  data: 0.0001  max mem: 36269
Train Epoch: [4]  [3400/6487]  eta: 0:37:48  lr: 0.000197  loss_ita: 2.1927  loss_itm: 0.1228  loss_lm: 2.0612  time: 0.7334  data: 0.0001  max mem: 36269
Train Epoch: [4]  [3600/6487]  eta: 0:35:21  lr: 0.000197  loss_ita: 2.2793  loss_itm: 0.1979  loss_lm: 1.9114  time: 0.7336  data: 0.0001  max mem: 36269
Train Epoch: [4]  [3800/6487]  eta: 0:32:54  lr: 0.000197  loss_ita: 2.3494  loss_itm: 0.1259  loss_lm: 1.8275  time: 0.7326  data: 0.0001  max mem: 36269
Train Epoch: [4]  [4000/6487]  eta: 0:30:27  lr: 0.000197  loss_ita: 2.1386  loss_itm: 0.1717  loss_lm: 1.9120  time: 0.7341  data: 0.0001  max mem: 36269
Train Epoch: [4]  [4200/6487]  eta: 0:28:00  lr: 0.000197  loss_ita: 2.0761  loss_itm: 0.1394  loss_lm: 1.6873  time: 0.7325  data: 0.0001  max mem: 36269
Train Epoch: [4]  [4400/6487]  eta: 0:25:33  lr: 0.000197  loss_ita: 2.2549  loss_itm: 0.1601  loss_lm: 1.7383  time: 0.7354  data: 0.0001  max mem: 36269
Train Epoch: [4]  [4600/6487]  eta: 0:23:06  lr: 0.000197  loss_ita: 2.2709  loss_itm: 0.1315  loss_lm: 1.6349  time: 0.7346  data: 0.0001  max mem: 36269
Train Epoch: [4]  [4800/6487]  eta: 0:20:39  lr: 0.000197  loss_ita: 2.3641  loss_itm: 0.1925  loss_lm: 1.7873  time: 0.7337  data: 0.0001  max mem: 36269
Train Epoch: [4]  [5000/6487]  eta: 0:18:12  lr: 0.000197  loss_ita: 2.9667  loss_itm: 0.1801  loss_lm: 1.9999  time: 0.7336  data: 0.0001  max mem: 36269
Train Epoch: [4]  [5200/6487]  eta: 0:15:45  lr: 0.000197  loss_ita: 1.9310  loss_itm: 0.0813  loss_lm: 1.7424  time: 0.7334  data: 0.0001  max mem: 36269
Train Epoch: [4]  [5400/6487]  eta: 0:13:18  lr: 0.000197  loss_ita: 2.2156  loss_itm: 0.1094  loss_lm: 1.5933  time: 0.7334  data: 0.0001  max mem: 36269
Train Epoch: [4]  [5600/6487]  eta: 0:10:51  lr: 0.000197  loss_ita: 2.2038  loss_itm: 0.0914  loss_lm: 1.7953  time: 0.7341  data: 0.0001  max mem: 36269
Train Epoch: [4]  [5800/6487]  eta: 0:08:24  lr: 0.000197  loss_ita: 2.1460  loss_itm: 0.1224  loss_lm: 1.6057  time: 0.7335  data: 0.0001  max mem: 36269
Train Epoch: [4]  [6000/6487]  eta: 0:05:57  lr: 0.000197  loss_ita: 2.4556  loss_itm: 0.1628  loss_lm: 1.9714  time: 0.7346  data: 0.0001  max mem: 36269
Train Epoch: [4]  [6200/6487]  eta: 0:03:30  lr: 0.000197  loss_ita: 2.0777  loss_itm: 0.1161  loss_lm: 1.8279  time: 0.7347  data: 0.0001  max mem: 36269
Train Epoch: [4]  [6400/6487]  eta: 0:01:03  lr: 0.000197  loss_ita: 2.4123  loss_itm: 0.1590  loss_lm: 1.8152  time: 0.7347  data: 0.0001  max mem: 36269
Train Epoch: [4]  [6486/6487]  eta: 0:00:00  lr: 0.000197  loss_ita: 2.1076  loss_itm: 0.0853  loss_lm: 1.6298  time: 0.7271  data: 0.0011  max mem: 36269
Train Epoch: [4] Total time: 1:19:25 (0.7347 s / it)
Averaged stats: lr: 0.0002  loss_ita: 2.3154  loss_itm: 0.1484  loss_lm: 1.7937
Train Epoch: [5]  [   0/6487]  eta: 8:06:33  lr: 0.000177  loss_ita: 2.3630  loss_itm: 0.1385  loss_lm: 1.6527  time: 4.5003  data: 3.2037  max mem: 36269
Train Epoch: [5]  [ 200/6487]  eta: 1:19:26  lr: 0.000177  loss_ita: 2.5061  loss_itm: 0.1688  loss_lm: 1.8413  time: 0.7361  data: 0.0001  max mem: 36269
Train Epoch: [5]  [ 400/6487]  eta: 1:15:48  lr: 0.000177  loss_ita: 2.2881  loss_itm: 0.2208  loss_lm: 1.6282  time: 0.7362  data: 0.0001  max mem: 36269
Train Epoch: [5]  [ 600/6487]  eta: 1:12:57  lr: 0.000177  loss_ita: 1.8328  loss_itm: 0.1703  loss_lm: 1.7741  time: 0.7367  data: 0.0001  max mem: 36269
Train Epoch: [5]  [ 800/6487]  eta: 1:10:17  lr: 0.000177  loss_ita: 2.1050  loss_itm: 0.1144  loss_lm: 1.7944  time: 0.7356  data: 0.0001  max mem: 36269
Train Epoch: [5]  [1000/6487]  eta: 1:07:43  lr: 0.000177  loss_ita: 2.4564  loss_itm: 0.2190  loss_lm: 1.8520  time: 0.7362  data: 0.0001  max mem: 36269
Train Epoch: [5]  [1200/6487]  eta: 1:05:11  lr: 0.000177  loss_ita: 2.1460  loss_itm: 0.1269  loss_lm: 1.5972  time: 0.7354  data: 0.0001  max mem: 36269
Train Epoch: [5]  [1400/6487]  eta: 1:02:40  lr: 0.000177  loss_ita: 2.2145  loss_itm: 0.1140  loss_lm: 1.6694  time: 0.7358  data: 0.0001  max mem: 36269
Train Epoch: [5]  [1600/6487]  eta: 1:00:10  lr: 0.000177  loss_ita: 2.1418  loss_itm: 0.1259  loss_lm: 1.6150  time: 0.7362  data: 0.0001  max mem: 36269
Train Epoch: [5]  [1800/6487]  eta: 0:57:40  lr: 0.000177  loss_ita: 2.0696  loss_itm: 0.1460  loss_lm: 1.6184  time: 0.7356  data: 0.0001  max mem: 36269
Train Epoch: [5]  [2000/6487]  eta: 0:55:11  lr: 0.000177  loss_ita: 2.0764  loss_itm: 0.1329  loss_lm: 1.9071  time: 0.7359  data: 0.0001  max mem: 36269
Train Epoch: [5]  [2200/6487]  eta: 0:52:43  lr: 0.000177  loss_ita: 2.4824  loss_itm: 0.1516  loss_lm: 1.5547  time: 0.7356  data: 0.0001  max mem: 36269
Train Epoch: [5]  [2400/6487]  eta: 0:50:15  lr: 0.000177  loss_ita: 2.1753  loss_itm: 0.1590  loss_lm: 1.6339  time: 0.7369  data: 0.0001  max mem: 36269
Train Epoch: [5]  [2600/6487]  eta: 0:47:47  lr: 0.000177  loss_ita: 2.3596  loss_itm: 0.1682  loss_lm: 1.9609  time: 0.7357  data: 0.0001  max mem: 36270
Train Epoch: [5]  [2800/6487]  eta: 0:45:19  lr: 0.000177  loss_ita: 1.9918  loss_itm: 0.1237  loss_lm: 1.6323  time: 0.7355  data: 0.0001  max mem: 36270
Train Epoch: [5]  [3000/6487]  eta: 0:42:51  lr: 0.000177  loss_ita: 1.8824  loss_itm: 0.0979  loss_lm: 1.6949  time: 0.7345  data: 0.0001  max mem: 36270
Train Epoch: [5]  [3200/6487]  eta: 0:40:23  lr: 0.000177  loss_ita: 1.9868  loss_itm: 0.0792  loss_lm: 1.6197  time: 0.7348  data: 0.0001  max mem: 36270
Train Epoch: [5]  [3400/6487]  eta: 0:37:55  lr: 0.000177  loss_ita: 2.2372  loss_itm: 0.1524  loss_lm: 1.8452  time: 0.7357  data: 0.0001  max mem: 36270
Train Epoch: [5]  [3600/6487]  eta: 0:35:27  lr: 0.000177  loss_ita: 2.3735  loss_itm: 0.1604  loss_lm: 1.9455  time: 0.7357  data: 0.0001  max mem: 36270
Train Epoch: [5]  [3800/6487]  eta: 0:33:00  lr: 0.000177  loss_ita: 2.1096  loss_itm: 0.1161  loss_lm: 1.8538  time: 0.7358  data: 0.0001  max mem: 36270
Train Epoch: [5]  [4000/6487]  eta: 0:30:32  lr: 0.000177  loss_ita: 2.3649  loss_itm: 0.1232  loss_lm: 1.7051  time: 0.7348  data: 0.0001  max mem: 36270
Train Epoch: [5]  [4200/6487]  eta: 0:28:05  lr: 0.000177  loss_ita: 1.7917  loss_itm: 0.0907  loss_lm: 1.6325  time: 0.7368  data: 0.0001  max mem: 36270
Train Epoch: [5]  [4400/6487]  eta: 0:25:37  lr: 0.000177  loss_ita: 2.4857  loss_itm: 0.1861  loss_lm: 1.6770  time: 0.7352  data: 0.0001  max mem: 36270
Train Epoch: [5]  [4600/6487]  eta: 0:23:10  lr: 0.000177  loss_ita: 2.0778  loss_itm: 0.1232  loss_lm: 1.6751  time: 0.7354  data: 0.0001  max mem: 36270
Train Epoch: [5]  [4800/6487]  eta: 0:20:42  lr: 0.000177  loss_ita: 2.0789  loss_itm: 0.1572  loss_lm: 1.8823  time: 0.7345  data: 0.0001  max mem: 36270
Train Epoch: [5]  [5000/6487]  eta: 0:18:15  lr: 0.000177  loss_ita: 2.5793  loss_itm: 0.1401  loss_lm: 1.9155  time: 0.7354  data: 0.0001  max mem: 36270
Train Epoch: [5]  [5200/6487]  eta: 0:15:47  lr: 0.000177  loss_ita: 2.1249  loss_itm: 0.2122  loss_lm: 1.5316  time: 0.7347  data: 0.0001  max mem: 36270
Train Epoch: [5]  [5400/6487]  eta: 0:13:20  lr: 0.000177  loss_ita: 2.1001  loss_itm: 0.1167  loss_lm: 1.6476  time: 0.7363  data: 0.0001  max mem: 36270
Train Epoch: [5]  [5600/6487]  eta: 0:10:53  lr: 0.000177  loss_ita: 2.0348  loss_itm: 0.1896  loss_lm: 1.8780  time: 0.7348  data: 0.0001  max mem: 36271
Train Epoch: [5]  [5800/6487]  eta: 0:08:25  lr: 0.000177  loss_ita: 2.1330  loss_itm: 0.1262  loss_lm: 1.6545  time: 0.7347  data: 0.0001  max mem: 36271
Train Epoch: [5]  [6000/6487]  eta: 0:05:58  lr: 0.000177  loss_ita: 2.4926  loss_itm: 0.2259  loss_lm: 1.7919  time: 0.7355  data: 0.0001  max mem: 36271
Train Epoch: [5]  [6200/6487]  eta: 0:03:31  lr: 0.000177  loss_ita: 1.9967  loss_itm: 0.1152  loss_lm: 1.8727  time: 0.7342  data: 0.0001  max mem: 36271
Train Epoch: [5]  [6400/6487]  eta: 0:01:04  lr: 0.000177  loss_ita: 2.3611  loss_itm: 0.1426  loss_lm: 1.7129  time: 0.7348  data: 0.0001  max mem: 36271
Train Epoch: [5]  [6486/6487]  eta: 0:00:00  lr: 0.000177  loss_ita: 1.9820  loss_itm: 0.1473  loss_lm: 1.6918  time: 0.7276  data: 0.0013  max mem: 36271
Train Epoch: [5] Total time: 1:19:37 (0.7364 s / it)
Averaged stats: lr: 0.0002  loss_ita: 2.1684  loss_itm: 0.1362  loss_lm: 1.7496
Train Epoch: [6]  [   0/6487]  eta: 8:56:16  lr: 0.000159  loss_ita: 2.2070  loss_itm: 0.1195  loss_lm: 1.6187  time: 4.9601  data: 2.7298  max mem: 36271
Train Epoch: [6]  [ 200/6487]  eta: 1:19:09  lr: 0.000159  loss_ita: 2.0100  loss_itm: 0.1084  loss_lm: 1.6631  time: 0.7338  data: 0.0001  max mem: 36271
Train Epoch: [6]  [ 400/6487]  eta: 1:15:32  lr: 0.000159  loss_ita: 2.2472  loss_itm: 0.1484  loss_lm: 1.6527  time: 0.7340  data: 0.0001  max mem: 36271
Train Epoch: [6]  [ 600/6487]  eta: 1:12:42  lr: 0.000159  loss_ita: 1.9740  loss_itm: 0.0853  loss_lm: 1.7912  time: 0.7330  data: 0.0001  max mem: 36271
Train Epoch: [6]  [ 800/6487]  eta: 1:10:03  lr: 0.000159  loss_ita: 2.3055  loss_itm: 0.1474  loss_lm: 1.5482  time: 0.7341  data: 0.0001  max mem: 36271
Train Epoch: [6]  [1000/6487]  eta: 1:07:29  lr: 0.000159  loss_ita: 2.4971  loss_itm: 0.1703  loss_lm: 1.6937  time: 0.7326  data: 0.0001  max mem: 36271
Train Epoch: [6]  [1200/6487]  eta: 1:04:57  lr: 0.000159  loss_ita: 2.0342  loss_itm: 0.1204  loss_lm: 1.6928  time: 0.7323  data: 0.0001  max mem: 36271
Train Epoch: [6]  [1400/6487]  eta: 1:02:27  lr: 0.000159  loss_ita: 2.0246  loss_itm: 0.1707  loss_lm: 1.4642  time: 0.7319  data: 0.0001  max mem: 36271
Train Epoch: [6]  [1600/6487]  eta: 0:59:57  lr: 0.000159  loss_ita: 1.7853  loss_itm: 0.1387  loss_lm: 1.6298  time: 0.7317  data: 0.0001  max mem: 36271
Train Epoch: [6]  [1800/6487]  eta: 0:57:28  lr: 0.000159  loss_ita: 2.0843  loss_itm: 0.1501  loss_lm: 1.6638  time: 0.7320  data: 0.0001  max mem: 36271
Train Epoch: [6]  [2000/6487]  eta: 0:55:00  lr: 0.000159  loss_ita: 2.2731  loss_itm: 0.1201  loss_lm: 1.6932  time: 0.7319  data: 0.0001  max mem: 36271
Train Epoch: [6]  [2200/6487]  eta: 0:52:32  lr: 0.000159  loss_ita: 2.6960  loss_itm: 0.1704  loss_lm: 1.7118  time: 0.7343  data: 0.0001  max mem: 36271
Train Epoch: [6]  [2400/6487]  eta: 0:50:04  lr: 0.000159  loss_ita: 1.7856  loss_itm: 0.0883  loss_lm: 1.6612  time: 0.7331  data: 0.0001  max mem: 36271
Train Epoch: [6]  [2600/6487]  eta: 0:47:37  lr: 0.000159  loss_ita: 1.8909  loss_itm: 0.0892  loss_lm: 1.6255  time: 0.7337  data: 0.0001  max mem: 36271
Train Epoch: [6]  [2800/6487]  eta: 0:45:09  lr: 0.000159  loss_ita: 1.6998  loss_itm: 0.0827  loss_lm: 1.7485  time: 0.7324  data: 0.0001  max mem: 36271
Train Epoch: [6]  [3000/6487]  eta: 0:42:42  lr: 0.000159  loss_ita: 2.3531  loss_itm: 0.1577  loss_lm: 1.6629  time: 0.7329  data: 0.0001  max mem: 36271
Train Epoch: [6]  [3200/6487]  eta: 0:40:15  lr: 0.000159  loss_ita: 2.3314  loss_itm: 0.1254  loss_lm: 1.7558  time: 0.7336  data: 0.0001  max mem: 36271
Train Epoch: [6]  [3400/6487]  eta: 0:37:47  lr: 0.000159  loss_ita: 1.7107  loss_itm: 0.0875  loss_lm: 1.9477  time: 0.7325  data: 0.0001  max mem: 36271
Train Epoch: [6]  [3600/6487]  eta: 0:35:20  lr: 0.000159  loss_ita: 2.1846  loss_itm: 0.1051  loss_lm: 1.6797  time: 0.7325  data: 0.0001  max mem: 36271
Train Epoch: [6]  [3800/6487]  eta: 0:32:53  lr: 0.000159  loss_ita: 1.9405  loss_itm: 0.0968  loss_lm: 1.6762  time: 0.7337  data: 0.0001  max mem: 36271
Train Epoch: [6]  [4000/6487]  eta: 0:30:26  lr: 0.000159  loss_ita: 1.9847  loss_itm: 0.1162  loss_lm: 1.7321  time: 0.7325  data: 0.0001  max mem: 36271
Train Epoch: [6]  [4200/6487]  eta: 0:27:59  lr: 0.000159  loss_ita: 2.2301  loss_itm: 0.1514  loss_lm: 1.8227  time: 0.7332  data: 0.0001  max mem: 36271
Train Epoch: [6]  [4400/6487]  eta: 0:25:32  lr: 0.000159  loss_ita: 2.1258  loss_itm: 0.1188  loss_lm: 1.6892  time: 0.7331  data: 0.0001  max mem: 36271
Train Epoch: [6]  [4600/6487]  eta: 0:23:05  lr: 0.000159  loss_ita: 2.0660  loss_itm: 0.1612  loss_lm: 1.7335  time: 0.7340  data: 0.0001  max mem: 36271
Train Epoch: [6]  [4800/6487]  eta: 0:20:38  lr: 0.000159  loss_ita: 2.1415  loss_itm: 0.1362  loss_lm: 1.8019  time: 0.7334  data: 0.0001  max mem: 36271
Train Epoch: [6]  [5000/6487]  eta: 0:18:11  lr: 0.000159  loss_ita: 1.5420  loss_itm: 0.1075  loss_lm: 1.6384  time: 0.7345  data: 0.0001  max mem: 36271
Train Epoch: [6]  [5200/6487]  eta: 0:15:44  lr: 0.000159  loss_ita: 2.0193  loss_itm: 0.1299  loss_lm: 1.6039  time: 0.7332  data: 0.0001  max mem: 36271
Train Epoch: [6]  [5400/6487]  eta: 0:13:18  lr: 0.000159  loss_ita: 2.4075  loss_itm: 0.1608  loss_lm: 1.6368  time: 0.7336  data: 0.0001  max mem: 36271
Train Epoch: [6]  [5600/6487]  eta: 0:10:51  lr: 0.000159  loss_ita: 1.8237  loss_itm: 0.0830  loss_lm: 1.7135  time: 0.7338  data: 0.0001  max mem: 36271
Train Epoch: [6]  [5800/6487]  eta: 0:08:24  lr: 0.000159  loss_ita: 1.9748  loss_itm: 0.0919  loss_lm: 1.6217  time: 0.7341  data: 0.0001  max mem: 36271
Train Epoch: [6]  [6000/6487]  eta: 0:05:57  lr: 0.000159  loss_ita: 1.5363  loss_itm: 0.0912  loss_lm: 1.5844  time: 0.7343  data: 0.0001  max mem: 36271
Train Epoch: [6]  [6200/6487]  eta: 0:03:30  lr: 0.000159  loss_ita: 1.9171  loss_itm: 0.1553  loss_lm: 1.9180  time: 0.7339  data: 0.0001  max mem: 36271
Train Epoch: [6]  [6400/6487]  eta: 0:01:03  lr: 0.000159  loss_ita: 2.1843  loss_itm: 0.1316  loss_lm: 1.6321  time: 0.7339  data: 0.0001  max mem: 36271
Train Epoch: [6]  [6486/6487]  eta: 0:00:00  lr: 0.000159  loss_ita: 2.0130  loss_itm: 0.0940  loss_lm: 1.7804  time: 0.7253  data: 0.0012  max mem: 36271
Train Epoch: [6] Total time: 1:19:23 (0.7343 s / it)
Averaged stats: lr: 0.0002  loss_ita: 2.0683  loss_itm: 0.1276  loss_lm: 1.7119
Train Epoch: [7]  [   0/6487]  eta: 8:25:13  lr: 0.000143  loss_ita: 2.2878  loss_itm: 0.1491  loss_lm: 1.7423  time: 4.6730  data: 3.8953  max mem: 36271
Train Epoch: [7]  [ 200/6487]  eta: 1:18:57  lr: 0.000143  loss_ita: 2.1175  loss_itm: 0.0954  loss_lm: 1.5693  time: 0.7343  data: 0.0001  max mem: 36271
Train Epoch: [7]  [ 400/6487]  eta: 1:15:28  lr: 0.000143  loss_ita: 2.0673  loss_itm: 0.1427  loss_lm: 1.6654  time: 0.7352  data: 0.0001  max mem: 36271
Train Epoch: [7]  [ 600/6487]  eta: 1:12:40  lr: 0.000143  loss_ita: 1.8153  loss_itm: 0.1330  loss_lm: 1.4946  time: 0.7344  data: 0.0001  max mem: 36271
Train Epoch: [7]  [ 800/6487]  eta: 1:10:03  lr: 0.000143  loss_ita: 2.3034  loss_itm: 0.1368  loss_lm: 1.6113  time: 0.7353  data: 0.0001  max mem: 36271
Train Epoch: [7]  [1000/6487]  eta: 1:07:30  lr: 0.000143  loss_ita: 1.9262  loss_itm: 0.0831  loss_lm: 1.7067  time: 0.7342  data: 0.0001  max mem: 36272
Train Epoch: [7]  [1200/6487]  eta: 1:04:58  lr: 0.000143  loss_ita: 2.0934  loss_itm: 0.2379  loss_lm: 1.5165  time: 0.7330  data: 0.0001  max mem: 36272
Train Epoch: [7]  [1400/6487]  eta: 1:02:28  lr: 0.000143  loss_ita: 1.9446  loss_itm: 0.1487  loss_lm: 1.7044  time: 0.7327  data: 0.0001  max mem: 36272
Train Epoch: [7]  [1600/6487]  eta: 1:00:00  lr: 0.000143  loss_ita: 1.7637  loss_itm: 0.0927  loss_lm: 1.7172  time: 0.7353  data: 0.0001  max mem: 36272
Train Epoch: [7]  [1800/6487]  eta: 0:57:32  lr: 0.000143  loss_ita: 1.9514  loss_itm: 0.1963  loss_lm: 1.5840  time: 0.7350  data: 0.0001  max mem: 36272
Train Epoch: [7]  [2000/6487]  eta: 0:55:04  lr: 0.000143  loss_ita: 2.3692  loss_itm: 0.1582  loss_lm: 1.7814  time: 0.7349  data: 0.0001  max mem: 36272
Train Epoch: [7]  [2200/6487]  eta: 0:52:36  lr: 0.000143  loss_ita: 1.8644  loss_itm: 0.1525  loss_lm: 1.7227  time: 0.7345  data: 0.0001  max mem: 36272
Train Epoch: [7]  [2400/6487]  eta: 0:50:08  lr: 0.000143  loss_ita: 2.0718  loss_itm: 0.1307  loss_lm: 1.6129  time: 0.7350  data: 0.0001  max mem: 36273
Train Epoch: [7]  [2600/6487]  eta: 0:47:41  lr: 0.000143  loss_ita: 2.1520  loss_itm: 0.0973  loss_lm: 1.6836  time: 0.7348  data: 0.0001  max mem: 36273
Train Epoch: [7]  [2800/6487]  eta: 0:45:13  lr: 0.000143  loss_ita: 2.3149  loss_itm: 0.1356  loss_lm: 1.5827  time: 0.7357  data: 0.0001  max mem: 36273
Train Epoch: [7]  [3000/6487]  eta: 0:42:46  lr: 0.000143  loss_ita: 1.9885  loss_itm: 0.1347  loss_lm: 1.6032  time: 0.7362  data: 0.0001  max mem: 36273
Train Epoch: [7]  [3200/6487]  eta: 0:40:19  lr: 0.000143  loss_ita: 2.0023  loss_itm: 0.1582  loss_lm: 1.6393  time: 0.7338  data: 0.0001  max mem: 36273
Train Epoch: [7]  [3400/6487]  eta: 0:37:51  lr: 0.000143  loss_ita: 1.7404  loss_itm: 0.0540  loss_lm: 1.6241  time: 0.7353  data: 0.0001  max mem: 36273
Train Epoch: [7]  [3600/6487]  eta: 0:35:24  lr: 0.000143  loss_ita: 1.5525  loss_itm: 0.0515  loss_lm: 1.7212  time: 0.7352  data: 0.0001  max mem: 36273
Train Epoch: [7]  [3800/6487]  eta: 0:32:56  lr: 0.000143  loss_ita: 1.8744  loss_itm: 0.1016  loss_lm: 1.7555  time: 0.7343  data: 0.0001  max mem: 36273
Train Epoch: [7]  [4000/6487]  eta: 0:30:29  lr: 0.000143  loss_ita: 2.2494  loss_itm: 0.1540  loss_lm: 1.5235  time: 0.7354  data: 0.0001  max mem: 36273
Train Epoch: [7]  [4200/6487]  eta: 0:28:02  lr: 0.000143  loss_ita: 2.2245  loss_itm: 0.1737  loss_lm: 1.7253  time: 0.7355  data: 0.0001  max mem: 36273
Train Epoch: [7]  [4400/6487]  eta: 0:25:35  lr: 0.000143  loss_ita: 2.1805  loss_itm: 0.1629  loss_lm: 1.8609  time: 0.7349  data: 0.0001  max mem: 36273
Train Epoch: [7]  [4600/6487]  eta: 0:23:08  lr: 0.000143  loss_ita: 2.0131  loss_itm: 0.1025  loss_lm: 1.6979  time: 0.7333  data: 0.0001  max mem: 36273
Train Epoch: [7]  [4800/6487]  eta: 0:20:40  lr: 0.000143  loss_ita: 1.7447  loss_itm: 0.1004  loss_lm: 1.8194  time: 0.7353  data: 0.0001  max mem: 36273
Train Epoch: [7]  [5000/6487]  eta: 0:18:13  lr: 0.000143  loss_ita: 1.9286  loss_itm: 0.1410  loss_lm: 1.5720  time: 0.7352  data: 0.0001  max mem: 36273
Train Epoch: [7]  [5200/6487]  eta: 0:15:46  lr: 0.000143  loss_ita: 1.8437  loss_itm: 0.0707  loss_lm: 1.4846  time: 0.7358  data: 0.0001  max mem: 36273
Train Epoch: [7]  [5400/6487]  eta: 0:13:19  lr: 0.000143  loss_ita: 1.9832  loss_itm: 0.1537  loss_lm: 1.6540  time: 0.7340  data: 0.0001  max mem: 36273
Train Epoch: [7]  [5600/6487]  eta: 0:10:52  lr: 0.000143  loss_ita: 1.4799  loss_itm: 0.0558  loss_lm: 1.5874  time: 0.7337  data: 0.0001  max mem: 36273
Train Epoch: [7]  [5800/6487]  eta: 0:08:25  lr: 0.000143  loss_ita: 2.1070  loss_itm: 0.2188  loss_lm: 1.6077  time: 0.7322  data: 0.0001  max mem: 36273
Train Epoch: [7]  [6000/6487]  eta: 0:05:58  lr: 0.000143  loss_ita: 1.7613  loss_itm: 0.1077  loss_lm: 1.8099  time: 0.7351  data: 0.0001  max mem: 36274
Train Epoch: [7]  [6200/6487]  eta: 0:03:31  lr: 0.000143  loss_ita: 2.0748  loss_itm: 0.1682  loss_lm: 1.8629  time: 0.7331  data: 0.0001  max mem: 36274
Train Epoch: [7]  [6400/6487]  eta: 0:01:03  lr: 0.000143  loss_ita: 2.1590  loss_itm: 0.1373  loss_lm: 1.7216  time: 0.7325  data: 0.0001  max mem: 36274
Train Epoch: [7]  [6486/6487]  eta: 0:00:00  lr: 0.000143  loss_ita: 1.6430  loss_itm: 0.0893  loss_lm: 1.6864  time: 0.7257  data: 0.0010  max mem: 36274
Train Epoch: [7] Total time: 1:19:30 (0.7353 s / it)
Averaged stats: lr: 0.0001  loss_ita: 1.9746  loss_itm: 0.1194  loss_lm: 1.6786
Train Epoch: [8]  [   0/6487]  eta: 7:47:34  lr: 0.000129  loss_ita: 2.0565  loss_itm: 0.1107  loss_lm: 1.6188  time: 4.3247  data: 2.9280  max mem: 36274
Train Epoch: [8]  [ 200/6487]  eta: 1:18:56  lr: 0.000129  loss_ita: 2.2164  loss_itm: 0.1253  loss_lm: 1.7296  time: 0.7346  data: 0.0001  max mem: 36274
Train Epoch: [8]  [ 400/6487]  eta: 1:15:28  lr: 0.000129  loss_ita: 1.7725  loss_itm: 0.0839  loss_lm: 1.5747  time: 0.7332  data: 0.0001  max mem: 36274
Train Epoch: [8]  [ 600/6487]  eta: 1:12:40  lr: 0.000129  loss_ita: 1.7106  loss_itm: 0.1581  loss_lm: 1.6901  time: 0.7345  data: 0.0001  max mem: 36274
Train Epoch: [8]  [ 800/6487]  eta: 1:10:02  lr: 0.000129  loss_ita: 2.2057  loss_itm: 0.1366  loss_lm: 1.8218  time: 0.7325  data: 0.0001  max mem: 36274
Train Epoch: [8]  [1000/6487]  eta: 1:07:30  lr: 0.000129  loss_ita: 1.9005  loss_itm: 0.0740  loss_lm: 1.6932  time: 0.7356  data: 0.0001  max mem: 36274
Train Epoch: [8]  [1200/6487]  eta: 1:04:59  lr: 0.000129  loss_ita: 1.7415  loss_itm: 0.1049  loss_lm: 1.7227  time: 0.7352  data: 0.0001  max mem: 36274
Train Epoch: [8]  [1400/6487]  eta: 1:02:29  lr: 0.000129  loss_ita: 1.8366  loss_itm: 0.0940  loss_lm: 1.7843  time: 0.7334  data: 0.0001  max mem: 36274
Train Epoch: [8]  [1600/6487]  eta: 1:00:00  lr: 0.000129  loss_ita: 1.8169  loss_itm: 0.1214  loss_lm: 1.6337  time: 0.7349  data: 0.0001  max mem: 36274
Train Epoch: [8]  [1800/6487]  eta: 0:57:32  lr: 0.000129  loss_ita: 1.6098  loss_itm: 0.0701  loss_lm: 1.7220  time: 0.7337  data: 0.0001  max mem: 36274
Train Epoch: [8]  [2000/6487]  eta: 0:55:03  lr: 0.000129  loss_ita: 2.0119  loss_itm: 0.1410  loss_lm: 1.8788  time: 0.7343  data: 0.0001  max mem: 36274
Train Epoch: [8]  [2200/6487]  eta: 0:52:35  lr: 0.000129  loss_ita: 2.4268  loss_itm: 0.1492  loss_lm: 1.7842  time: 0.7348  data: 0.0001  max mem: 36274
Train Epoch: [8]  [2400/6487]  eta: 0:50:07  lr: 0.000129  loss_ita: 1.7575  loss_itm: 0.0642  loss_lm: 1.4931  time: 0.7354  data: 0.0001  max mem: 36274
Train Epoch: [8]  [2600/6487]  eta: 0:47:40  lr: 0.000129  loss_ita: 2.5085  loss_itm: 0.1508  loss_lm: 1.8743  time: 0.7340  data: 0.0001  max mem: 36274
Train Epoch: [8]  [2800/6487]  eta: 0:45:12  lr: 0.000129  loss_ita: 2.7357  loss_itm: 0.1352  loss_lm: 1.7921  time: 0.7341  data: 0.0001  max mem: 36274
Train Epoch: [8]  [3000/6487]  eta: 0:42:45  lr: 0.000129  loss_ita: 1.6801  loss_itm: 0.0599  loss_lm: 1.4589  time: 0.7346  data: 0.0001  max mem: 36274
Train Epoch: [8]  [3200/6487]  eta: 0:40:17  lr: 0.000129  loss_ita: 1.8943  loss_itm: 0.1333  loss_lm: 1.7196  time: 0.7344  data: 0.0001  max mem: 36274
Train Epoch: [8]  [3400/6487]  eta: 0:37:50  lr: 0.000129  loss_ita: 1.9607  loss_itm: 0.0779  loss_lm: 1.7880  time: 0.7345  data: 0.0001  max mem: 36274
Train Epoch: [8]  [3600/6487]  eta: 0:35:23  lr: 0.000129  loss_ita: 2.0769  loss_itm: 0.1371  loss_lm: 1.6249  time: 0.7349  data: 0.0001  max mem: 36274
Train Epoch: [8]  [3800/6487]  eta: 0:32:55  lr: 0.000129  loss_ita: 1.6276  loss_itm: 0.0895  loss_lm: 1.5187  time: 0.7348  data: 0.0001  max mem: 36274
Train Epoch: [8]  [4000/6487]  eta: 0:30:28  lr: 0.000129  loss_ita: 1.9604  loss_itm: 0.1229  loss_lm: 1.7098  time: 0.7355  data: 0.0001  max mem: 36274
Train Epoch: [8]  [4200/6487]  eta: 0:28:01  lr: 0.000129  loss_ita: 1.9644  loss_itm: 0.1243  loss_lm: 1.6648  time: 0.7362  data: 0.0001  max mem: 36274
Train Epoch: [8]  [4400/6487]  eta: 0:25:34  lr: 0.000129  loss_ita: 2.0993  loss_itm: 0.1115  loss_lm: 1.6660  time: 0.7343  data: 0.0001  max mem: 36274
Train Epoch: [8]  [4600/6487]  eta: 0:23:07  lr: 0.000129  loss_ita: 1.9541  loss_itm: 0.1413  loss_lm: 1.6312  time: 0.7334  data: 0.0001  max mem: 36274
Train Epoch: [8]  [4800/6487]  eta: 0:20:40  lr: 0.000129  loss_ita: 1.9868  loss_itm: 0.0802  loss_lm: 1.5298  time: 0.7352  data: 0.0001  max mem: 36274
Train Epoch: [8]  [5000/6487]  eta: 0:18:13  lr: 0.000129  loss_ita: 2.3250  loss_itm: 0.1779  loss_lm: 1.5835  time: 0.7379  data: 0.0001  max mem: 36274
Train Epoch: [8]  [5200/6487]  eta: 0:15:46  lr: 0.000129  loss_ita: 1.5609  loss_itm: 0.0699  loss_lm: 1.5654  time: 0.7380  data: 0.0001  max mem: 36274
Train Epoch: [8]  [5400/6487]  eta: 0:13:19  lr: 0.000129  loss_ita: 1.5366  loss_itm: 0.0809  loss_lm: 1.4491  time: 0.7387  data: 0.0001  max mem: 36274
Train Epoch: [8]  [5600/6487]  eta: 0:10:52  lr: 0.000129  loss_ita: 1.9072  loss_itm: 0.0803  loss_lm: 1.6306  time: 0.7384  data: 0.0001  max mem: 36274
Train Epoch: [8]  [5800/6487]  eta: 0:08:25  lr: 0.000129  loss_ita: 1.6913  loss_itm: 0.0675  loss_lm: 1.4610  time: 0.7350  data: 0.0001  max mem: 36274
Train Epoch: [8]  [6000/6487]  eta: 0:05:58  lr: 0.000129  loss_ita: 1.7271  loss_itm: 0.0826  loss_lm: 1.6250  time: 0.7348  data: 0.0001  max mem: 36274
Train Epoch: [8]  [6200/6487]  eta: 0:03:31  lr: 0.000129  loss_ita: 1.5294  loss_itm: 0.0519  loss_lm: 1.6202  time: 0.7345  data: 0.0001  max mem: 36274
Train Epoch: [8]  [6400/6487]  eta: 0:01:03  lr: 0.000129  loss_ita: 1.3636  loss_itm: 0.0517  loss_lm: 1.7283  time: 0.7356  data: 0.0001  max mem: 36274
Train Epoch: [8]  [6486/6487]  eta: 0:00:00  lr: 0.000129  loss_ita: 1.8137  loss_itm: 0.1290  loss_lm: 1.4950  time: 0.7259  data: 0.0009  max mem: 36274
Train Epoch: [8] Total time: 1:19:32 (0.7357 s / it)
Averaged stats: lr: 0.0001  loss_ita: 1.8976  loss_itm: 0.1124  loss_lm: 1.6492
Train Epoch: [9]  [   0/6487]  eta: 8:31:47  lr: 0.000116  loss_ita: 1.7642  loss_itm: 0.0745  loss_lm: 1.7238  time: 4.7338  data: 2.8319  max mem: 36274
Train Epoch: [9]  [ 200/6487]  eta: 1:19:13  lr: 0.000116  loss_ita: 2.0522  loss_itm: 0.1426  loss_lm: 1.5960  time: 0.7347  data: 0.0001  max mem: 36274
Train Epoch: [9]  [ 400/6487]  eta: 1:15:34  lr: 0.000116  loss_ita: 2.1169  loss_itm: 0.1590  loss_lm: 1.6211  time: 0.7325  data: 0.0001  max mem: 36274
Train Epoch: [9]  [ 600/6487]  eta: 1:12:43  lr: 0.000116  loss_ita: 2.1173  loss_itm: 0.1349  loss_lm: 1.7443  time: 0.7332  data: 0.0001  max mem: 36274
Train Epoch: [9]  [ 800/6487]  eta: 1:10:04  lr: 0.000116  loss_ita: 1.9214  loss_itm: 0.1058  loss_lm: 1.5354  time: 0.7360  data: 0.0001  max mem: 36274
Train Epoch: [9]  [1000/6487]  eta: 1:07:29  lr: 0.000116  loss_ita: 1.8911  loss_itm: 0.1237  loss_lm: 1.6148  time: 0.7334  data: 0.0001  max mem: 36274
Train Epoch: [9]  [1200/6487]  eta: 1:04:58  lr: 0.000116  loss_ita: 1.7447  loss_itm: 0.0938  loss_lm: 1.5044  time: 0.7345  data: 0.0001  max mem: 36274
Train Epoch: [9]  [1400/6487]  eta: 1:02:27  lr: 0.000116  loss_ita: 1.6475  loss_itm: 0.0844  loss_lm: 1.5718  time: 0.7332  data: 0.0001  max mem: 36274
Train Epoch: [9]  [1600/6487]  eta: 0:59:58  lr: 0.000116  loss_ita: 1.1291  loss_itm: 0.0365  loss_lm: 1.4865  time: 0.7325  data: 0.0001  max mem: 36274
Train Epoch: [9]  [1800/6487]  eta: 0:57:29  lr: 0.000116  loss_ita: 1.7822  loss_itm: 0.1307  loss_lm: 1.5346  time: 0.7343  data: 0.0001  max mem: 36274
Train Epoch: [9]  [2000/6487]  eta: 0:55:01  lr: 0.000116  loss_ita: 1.8266  loss_itm: 0.1254  loss_lm: 1.7973  time: 0.7337  data: 0.0001  max mem: 36274
Train Epoch: [9]  [2200/6487]  eta: 0:52:33  lr: 0.000116  loss_ita: 2.0532  loss_itm: 0.1265  loss_lm: 1.6179  time: 0.7337  data: 0.0001  max mem: 36274
Train Epoch: [9]  [2400/6487]  eta: 0:50:05  lr: 0.000116  loss_ita: 2.1598  loss_itm: 0.1216  loss_lm: 1.6807  time: 0.7331  data: 0.0001  max mem: 36274
Train Epoch: [9]  [2600/6487]  eta: 0:47:37  lr: 0.000116  loss_ita: 2.1524  loss_itm: 0.1591  loss_lm: 1.7040  time: 0.7334  data: 0.0001  max mem: 36274
Train Epoch: [9]  [2800/6487]  eta: 0:45:10  lr: 0.000116  loss_ita: 1.5028  loss_itm: 0.0814  loss_lm: 1.5097  time: 0.7336  data: 0.0001  max mem: 36274
Train Epoch: [9]  [3000/6487]  eta: 0:42:42  lr: 0.000116  loss_ita: 1.9550  loss_itm: 0.0816  loss_lm: 1.5730  time: 0.7336  data: 0.0001  max mem: 36274
Train Epoch: [9]  [3200/6487]  eta: 0:40:15  lr: 0.000116  loss_ita: 1.7966  loss_itm: 0.1041  loss_lm: 1.6743  time: 0.7331  data: 0.0001  max mem: 36274
Train Epoch: [9]  [3400/6487]  eta: 0:37:48  lr: 0.000116  loss_ita: 1.6733  loss_itm: 0.0817  loss_lm: 1.7261  time: 0.7342  data: 0.0001  max mem: 36274
Train Epoch: [9]  [3600/6487]  eta: 0:35:21  lr: 0.000116  loss_ita: 1.6088  loss_itm: 0.1000  loss_lm: 1.7284  time: 0.7333  data: 0.0001  max mem: 36274
Train Epoch: [9]  [3800/6487]  eta: 0:32:53  lr: 0.000116  loss_ita: 1.6825  loss_itm: 0.0917  loss_lm: 1.6862  time: 0.7329  data: 0.0001  max mem: 36274
Train Epoch: [9]  [4000/6487]  eta: 0:30:26  lr: 0.000116  loss_ita: 1.5461  loss_itm: 0.0774  loss_lm: 1.5625  time: 0.7333  data: 0.0001  max mem: 36274
Train Epoch: [9]  [4200/6487]  eta: 0:27:59  lr: 0.000116  loss_ita: 1.4017  loss_itm: 0.0542  loss_lm: 1.5430  time: 0.7334  data: 0.0001  max mem: 36274
Train Epoch: [9]  [4400/6487]  eta: 0:25:32  lr: 0.000116  loss_ita: 1.7753  loss_itm: 0.0625  loss_lm: 1.6859  time: 0.7342  data: 0.0001  max mem: 36274
Train Epoch: [9]  [4600/6487]  eta: 0:23:05  lr: 0.000116  loss_ita: 2.1682  loss_itm: 0.1226  loss_lm: 1.6576  time: 0.7337  data: 0.0001  max mem: 36274
Train Epoch: [9]  [4800/6487]  eta: 0:20:38  lr: 0.000116  loss_ita: 1.8491  loss_itm: 0.1039  loss_lm: 1.6045  time: 0.7339  data: 0.0001  max mem: 36274
Train Epoch: [9]  [5000/6487]  eta: 0:18:11  lr: 0.000116  loss_ita: 2.2015  loss_itm: 0.1299  loss_lm: 1.7252  time: 0.7331  data: 0.0001  max mem: 36274
Train Epoch: [9]  [5200/6487]  eta: 0:15:45  lr: 0.000116  loss_ita: 1.7268  loss_itm: 0.0898  loss_lm: 1.8261  time: 0.7330  data: 0.0001  max mem: 36274
Train Epoch: [9]  [5400/6487]  eta: 0:13:18  lr: 0.000116  loss_ita: 1.7410  loss_itm: 0.0476  loss_lm: 1.7770  time: 0.7338  data: 0.0001  max mem: 36274
Train Epoch: [9]  [5600/6487]  eta: 0:10:51  lr: 0.000116  loss_ita: 1.3784  loss_itm: 0.0489  loss_lm: 1.5164  time: 0.7349  data: 0.0001  max mem: 36274
Train Epoch: [9]  [5800/6487]  eta: 0:08:24  lr: 0.000116  loss_ita: 2.2532  loss_itm: 0.1762  loss_lm: 1.6856  time: 0.7339  data: 0.0001  max mem: 36274
Train Epoch: [9]  [6000/6487]  eta: 0:05:57  lr: 0.000116  loss_ita: 1.7803  loss_itm: 0.1086  loss_lm: 1.5350  time: 0.7326  data: 0.0001  max mem: 36274
Train Epoch: [9]  [6200/6487]  eta: 0:03:30  lr: 0.000116  loss_ita: 1.4045  loss_itm: 0.0784  loss_lm: 1.7052  time: 0.7353  data: 0.0001  max mem: 36274
Train Epoch: [9]  [6400/6487]  eta: 0:01:03  lr: 0.000116  loss_ita: 1.6994  loss_itm: 0.0702  loss_lm: 1.6971  time: 0.7351  data: 0.0001  max mem: 36274
Train Epoch: [9]  [6486/6487]  eta: 0:00:00  lr: 0.000116  loss_ita: 1.8461  loss_itm: 0.0864  loss_lm: 1.6108  time: 0.7256  data: 0.0008  max mem: 36274
Train Epoch: [9] Total time: 1:19:23 (0.7344 s / it)
Averaged stats: lr: 0.0001  loss_ita: 1.8021  loss_itm: 0.1060  loss_lm: 1.6223
Train Epoch: [10]  [   0/6487]  eta: 7:44:02  lr: 0.000105  loss_ita: 2.0690  loss_itm: 0.1629  loss_lm: 1.6553  time: 4.2921  data: 2.6970  max mem: 36274
Train Epoch: [10]  [ 200/6487]  eta: 1:19:10  lr: 0.000105  loss_ita: 1.8960  loss_itm: 0.1458  loss_lm: 1.5537  time: 0.7356  data: 0.0001  max mem: 36274
Train Epoch: [10]  [ 400/6487]  eta: 1:15:34  lr: 0.000105  loss_ita: 1.9943  loss_itm: 0.1049  loss_lm: 1.5091  time: 0.7355  data: 0.0001  max mem: 36274
Train Epoch: [10]  [ 600/6487]  eta: 1:12:44  lr: 0.000105  loss_ita: 1.5264  loss_itm: 0.0470  loss_lm: 1.4303  time: 0.7343  data: 0.0001  max mem: 36274
Train Epoch: [10]  [ 800/6487]  eta: 1:10:05  lr: 0.000105  loss_ita: 2.2646  loss_itm: 0.1641  loss_lm: 1.5958  time: 0.7345  data: 0.0001  max mem: 36274
Train Epoch: [10]  [1000/6487]  eta: 1:07:31  lr: 0.000105  loss_ita: 1.9660  loss_itm: 0.1156  loss_lm: 1.8210  time: 0.7335  data: 0.0001  max mem: 36274
Train Epoch: [10]  [1200/6487]  eta: 1:04:59  lr: 0.000105  loss_ita: 1.7823  loss_itm: 0.0716  loss_lm: 1.5945  time: 0.7344  data: 0.0001  max mem: 36274
Train Epoch: [10]  [1400/6487]  eta: 1:02:29  lr: 0.000105  loss_ita: 1.7373  loss_itm: 0.1069  loss_lm: 1.5551  time: 0.7349  data: 0.0001  max mem: 36274
Train Epoch: [10]  [1600/6487]  eta: 0:59:59  lr: 0.000105  loss_ita: 1.5301  loss_itm: 0.0896  loss_lm: 1.4844  time: 0.7342  data: 0.0001  max mem: 36274
Train Epoch: [10]  [1800/6487]  eta: 0:57:30  lr: 0.000105  loss_ita: 1.6282  loss_itm: 0.0867  loss_lm: 1.6453  time: 0.7330  data: 0.0001  max mem: 36274
Train Epoch: [10]  [2000/6487]  eta: 0:55:02  lr: 0.000105  loss_ita: 2.1519  loss_itm: 0.1328  loss_lm: 1.4787  time: 0.7337  data: 0.0001  max mem: 36274
Train Epoch: [10]  [2200/6487]  eta: 0:52:34  lr: 0.000105  loss_ita: 2.2130  loss_itm: 0.1756  loss_lm: 1.6653  time: 0.7346  data: 0.0001  max mem: 36274
Train Epoch: [10]  [2400/6487]  eta: 0:50:06  lr: 0.000105  loss_ita: 1.7430  loss_itm: 0.1283  loss_lm: 1.5825  time: 0.7344  data: 0.0001  max mem: 36274
Train Epoch: [10]  [2600/6487]  eta: 0:47:38  lr: 0.000105  loss_ita: 1.5948  loss_itm: 0.1076  loss_lm: 1.5272  time: 0.7329  data: 0.0001  max mem: 36274
Train Epoch: [10]  [2800/6487]  eta: 0:45:10  lr: 0.000105  loss_ita: 1.9784  loss_itm: 0.1069  loss_lm: 1.5208  time: 0.7332  data: 0.0001  max mem: 36274
Train Epoch: [10]  [3000/6487]  eta: 0:42:43  lr: 0.000105  loss_ita: 1.3865  loss_itm: 0.0397  loss_lm: 1.6228  time: 0.7327  data: 0.0001  max mem: 36274
Train Epoch: [10]  [3200/6487]  eta: 0:40:15  lr: 0.000105  loss_ita: 1.8084  loss_itm: 0.1112  loss_lm: 1.4999  time: 0.7337  data: 0.0001  max mem: 36274
Train Epoch: [10]  [3400/6487]  eta: 0:37:48  lr: 0.000105  loss_ita: 1.0988  loss_itm: 0.0440  loss_lm: 1.5612  time: 0.7337  data: 0.0001  max mem: 36274
Train Epoch: [10]  [3600/6487]  eta: 0:35:21  lr: 0.000105  loss_ita: 1.5898  loss_itm: 0.0597  loss_lm: 1.7133  time: 0.7339  data: 0.0001  max mem: 36274
Train Epoch: [10]  [3800/6487]  eta: 0:32:54  lr: 0.000105  loss_ita: 1.6787  loss_itm: 0.0996  loss_lm: 1.8030  time: 0.7326  data: 0.0001  max mem: 36274
Train Epoch: [10]  [4000/6487]  eta: 0:30:26  lr: 0.000105  loss_ita: 2.2307  loss_itm: 0.1069  loss_lm: 1.8810  time: 0.7327  data: 0.0001  max mem: 36274
Train Epoch: [10]  [4200/6487]  eta: 0:27:59  lr: 0.000105  loss_ita: 1.4308  loss_itm: 0.0618  loss_lm: 1.5226  time: 0.7328  data: 0.0001  max mem: 36274
Train Epoch: [10]  [4400/6487]  eta: 0:25:32  lr: 0.000105  loss_ita: 1.5128  loss_itm: 0.1062  loss_lm: 1.5649  time: 0.7324  data: 0.0001  max mem: 36274
Train Epoch: [10]  [4600/6487]  eta: 0:23:05  lr: 0.000105  loss_ita: 2.0961  loss_itm: 0.1211  loss_lm: 1.7896  time: 0.7329  data: 0.0001  max mem: 36274
Train Epoch: [10]  [4800/6487]  eta: 0:20:38  lr: 0.000105  loss_ita: 1.6456  loss_itm: 0.0636  loss_lm: 1.6979  time: 0.7330  data: 0.0001  max mem: 36274
Train Epoch: [10]  [5000/6487]  eta: 0:18:11  lr: 0.000105  loss_ita: 1.6639  loss_itm: 0.0671  loss_lm: 1.5542  time: 0.7333  data: 0.0001  max mem: 36274
Train Epoch: [10]  [5200/6487]  eta: 0:15:45  lr: 0.000105  loss_ita: 1.7025  loss_itm: 0.0506  loss_lm: 1.5992  time: 0.7326  data: 0.0001  max mem: 36274
Train Epoch: [10]  [5400/6487]  eta: 0:13:18  lr: 0.000105  loss_ita: 1.7613  loss_itm: 0.0847  loss_lm: 1.5278  time: 0.7328  data: 0.0001  max mem: 36274
Train Epoch: [10]  [5600/6487]  eta: 0:10:51  lr: 0.000105  loss_ita: 1.4717  loss_itm: 0.0900  loss_lm: 1.6484  time: 0.7321  data: 0.0001  max mem: 36274
Train Epoch: [10]  [5800/6487]  eta: 0:08:24  lr: 0.000105  loss_ita: 1.8808  loss_itm: 0.0890  loss_lm: 1.5826  time: 0.7329  data: 0.0001  max mem: 36274
Train Epoch: [10]  [6000/6487]  eta: 0:05:57  lr: 0.000105  loss_ita: 1.7233  loss_itm: 0.1122  loss_lm: 1.7675  time: 0.7334  data: 0.0001  max mem: 36274
Train Epoch: [10]  [6200/6487]  eta: 0:03:30  lr: 0.000105  loss_ita: 1.2563  loss_itm: 0.0489  loss_lm: 1.6680  time: 0.7328  data: 0.0001  max mem: 36274
Train Epoch: [10]  [6400/6487]  eta: 0:01:03  lr: 0.000105  loss_ita: 1.6507  loss_itm: 0.1485  loss_lm: 1.5569  time: 0.7348  data: 0.0001  max mem: 36274
Train Epoch: [10]  [6486/6487]  eta: 0:00:00  lr: 0.000105  loss_ita: 1.9696  loss_itm: 0.1073  loss_lm: 1.7352  time: 0.7247  data: 0.0007  max mem: 36274
Train Epoch: [10] Total time: 1:19:22 (0.7341 s / it)
Averaged stats: lr: 0.0001  loss_ita: 1.7264  loss_itm: 0.0995  loss_lm: 1.5979
Train Epoch: [11]  [   0/6487]  eta: 7:29:31  lr: 0.000094  loss_ita: 1.8006  loss_itm: 0.0678  loss_lm: 1.5712  time: 4.1578  data: 2.6981  max mem: 36274
Train Epoch: [11]  [ 200/6487]  eta: 1:18:44  lr: 0.000094  loss_ita: 1.7521  loss_itm: 0.1320  loss_lm: 1.5753  time: 0.7331  data: 0.0001  max mem: 36274
Train Epoch: [11]  [ 400/6487]  eta: 1:15:22  lr: 0.000094  loss_ita: 1.7369  loss_itm: 0.1149  loss_lm: 1.5992  time: 0.7347  data: 0.0001  max mem: 36274
Train Epoch: [11]  [ 600/6487]  eta: 1:12:36  lr: 0.000094  loss_ita: 1.4925  loss_itm: 0.0975  loss_lm: 1.4515  time: 0.7338  data: 0.0001  max mem: 36274
Train Epoch: [11]  [ 800/6487]  eta: 1:09:59  lr: 0.000094  loss_ita: 1.5147  loss_itm: 0.0891  loss_lm: 1.4985  time: 0.7332  data: 0.0001  max mem: 36274
Train Epoch: [11]  [1000/6487]  eta: 1:07:27  lr: 0.000094  loss_ita: 1.9796  loss_itm: 0.1203  loss_lm: 1.7170  time: 0.7339  data: 0.0001  max mem: 36274
Train Epoch: [11]  [1200/6487]  eta: 1:04:57  lr: 0.000094  loss_ita: 1.6632  loss_itm: 0.0744  loss_lm: 1.5182  time: 0.7343  data: 0.0001  max mem: 36274
Train Epoch: [11]  [1400/6487]  eta: 1:02:27  lr: 0.000094  loss_ita: 1.5715  loss_itm: 0.0612  loss_lm: 1.4322  time: 0.7334  data: 0.0001  max mem: 36274
Train Epoch: [11]  [1600/6487]  eta: 0:59:58  lr: 0.000094  loss_ita: 1.1428  loss_itm: 0.0239  loss_lm: 1.4389  time: 0.7333  data: 0.0001  max mem: 36274
Train Epoch: [11]  [1800/6487]  eta: 0:57:30  lr: 0.000094  loss_ita: 1.7021  loss_itm: 0.0825  loss_lm: 1.6938  time: 0.7338  data: 0.0001  max mem: 36274
Train Epoch: [11]  [2000/6487]  eta: 0:55:02  lr: 0.000094  loss_ita: 1.9358  loss_itm: 0.1251  loss_lm: 1.6855  time: 0.7353  data: 0.0001  max mem: 36274
Train Epoch: [11]  [2200/6487]  eta: 0:52:34  lr: 0.000094  loss_ita: 1.9475  loss_itm: 0.1326  loss_lm: 1.6065  time: 0.7348  data: 0.0001  max mem: 36274
Train Epoch: [11]  [2400/6487]  eta: 0:50:07  lr: 0.000094  loss_ita: 1.6326  loss_itm: 0.0533  loss_lm: 1.5256  time: 0.7347  data: 0.0001  max mem: 36274
Train Epoch: [11]  [2600/6487]  eta: 0:47:39  lr: 0.000094  loss_ita: 1.7095  loss_itm: 0.1451  loss_lm: 1.4925  time: 0.7346  data: 0.0001  max mem: 36274
Train Epoch: [11]  [2800/6487]  eta: 0:45:12  lr: 0.000094  loss_ita: 1.4163  loss_itm: 0.0457  loss_lm: 1.5744  time: 0.7341  data: 0.0001  max mem: 36274
Train Epoch: [11]  [3000/6487]  eta: 0:42:44  lr: 0.000094  loss_ita: 1.5125  loss_itm: 0.0389  loss_lm: 1.4385  time: 0.7335  data: 0.0001  max mem: 36274
Train Epoch: [11]  [3200/6487]  eta: 0:40:17  lr: 0.000094  loss_ita: 1.3680  loss_itm: 0.0835  loss_lm: 1.6639  time: 0.7339  data: 0.0001  max mem: 36274
Train Epoch: [11]  [3400/6487]  eta: 0:37:49  lr: 0.000094  loss_ita: 1.5312  loss_itm: 0.0619  loss_lm: 1.4888  time: 0.7351  data: 0.0001  max mem: 36274
Train Epoch: [11]  [3600/6487]  eta: 0:35:22  lr: 0.000094  loss_ita: 1.5317  loss_itm: 0.0888  loss_lm: 1.5663  time: 0.7330  data: 0.0001  max mem: 36274
Train Epoch: [11]  [3800/6487]  eta: 0:32:55  lr: 0.000094  loss_ita: 1.3306  loss_itm: 0.0207  loss_lm: 1.3753  time: 0.7342  data: 0.0001  max mem: 36274
Train Epoch: [11]  [4000/6487]  eta: 0:30:28  lr: 0.000094  loss_ita: 1.7252  loss_itm: 0.1493  loss_lm: 1.5198  time: 0.7330  data: 0.0001  max mem: 36274
Train Epoch: [11]  [4200/6487]  eta: 0:28:01  lr: 0.000094  loss_ita: 1.7666  loss_itm: 0.0792  loss_lm: 1.6940  time: 0.7343  data: 0.0001  max mem: 36274
Train Epoch: [11]  [4400/6487]  eta: 0:25:33  lr: 0.000094  loss_ita: 2.1063  loss_itm: 0.1208  loss_lm: 1.7228  time: 0.7336  data: 0.0001  max mem: 36274
Train Epoch: [11]  [4600/6487]  eta: 0:23:06  lr: 0.000094  loss_ita: 2.0314  loss_itm: 0.1251  loss_lm: 1.6500  time: 0.7329  data: 0.0001  max mem: 36274
Train Epoch: [11]  [4800/6487]  eta: 0:20:39  lr: 0.000094  loss_ita: 1.9022  loss_itm: 0.1243  loss_lm: 1.8459  time: 0.7349  data: 0.0001  max mem: 36274
Train Epoch: [11]  [5000/6487]  eta: 0:18:12  lr: 0.000094  loss_ita: 1.8471  loss_itm: 0.0925  loss_lm: 1.6752  time: 0.7337  data: 0.0001  max mem: 36274
Train Epoch: [11]  [5200/6487]  eta: 0:15:45  lr: 0.000094  loss_ita: 1.6273  loss_itm: 0.1009  loss_lm: 1.7099  time: 0.7344  data: 0.0001  max mem: 36274
Train Epoch: [11]  [5400/6487]  eta: 0:13:18  lr: 0.000094  loss_ita: 1.5043  loss_itm: 0.0526  loss_lm: 1.5795  time: 0.7336  data: 0.0001  max mem: 36274
Train Epoch: [11]  [5600/6487]  eta: 0:10:51  lr: 0.000094  loss_ita: 1.7933  loss_itm: 0.0963  loss_lm: 1.5360  time: 0.7330  data: 0.0001  max mem: 36274
Train Epoch: [11]  [5800/6487]  eta: 0:08:24  lr: 0.000094  loss_ita: 1.8400  loss_itm: 0.0938  loss_lm: 1.6340  time: 0.7336  data: 0.0001  max mem: 36274
Train Epoch: [11]  [6000/6487]  eta: 0:05:57  lr: 0.000094  loss_ita: 1.5593  loss_itm: 0.0596  loss_lm: 1.6547  time: 0.7345  data: 0.0001  max mem: 36274
Train Epoch: [11]  [6200/6487]  eta: 0:03:30  lr: 0.000094  loss_ita: 1.3743  loss_itm: 0.0613  loss_lm: 1.5672  time: 0.7336  data: 0.0001  max mem: 36274
Train Epoch: [11]  [6400/6487]  eta: 0:01:03  lr: 0.000094  loss_ita: 1.5168  loss_itm: 0.0806  loss_lm: 1.5061  time: 0.7334  data: 0.0001  max mem: 36274
Train Epoch: [11]  [6486/6487]  eta: 0:00:00  lr: 0.000094  loss_ita: 1.5376  loss_itm: 0.1110  loss_lm: 1.6546  time: 0.7262  data: 0.0008  max mem: 36274
Train Epoch: [11] Total time: 1:19:27 (0.7349 s / it)
Averaged stats: lr: 0.0001  loss_ita: 1.6830  loss_itm: 0.0945  loss_lm: 1.5753
Train Epoch: [12]  [   0/6487]  eta: 7:34:43  lr: 0.000085  loss_ita: 2.1439  loss_itm: 0.1450  loss_lm: 1.6381  time: 4.2059  data: 2.8812  max mem: 36274
Train Epoch: [12]  [ 200/6487]  eta: 1:18:53  lr: 0.000085  loss_ita: 1.8197  loss_itm: 0.0667  loss_lm: 1.3860  time: 0.7370  data: 0.0001  max mem: 36274
Train Epoch: [12]  [ 400/6487]  eta: 1:15:26  lr: 0.000085  loss_ita: 1.6708  loss_itm: 0.0707  loss_lm: 1.5732  time: 0.7344  data: 0.0001  max mem: 36274
Train Epoch: [12]  [ 600/6487]  eta: 1:12:39  lr: 0.000085  loss_ita: 1.4076  loss_itm: 0.0813  loss_lm: 1.4318  time: 0.7331  data: 0.0001  max mem: 36274
Train Epoch: [12]  [ 800/6487]  eta: 1:10:01  lr: 0.000085  loss_ita: 1.9439  loss_itm: 0.1687  loss_lm: 1.5777  time: 0.7329  data: 0.0001  max mem: 36274
Train Epoch: [12]  [1000/6487]  eta: 1:07:26  lr: 0.000085  loss_ita: 2.2225  loss_itm: 0.2196  loss_lm: 1.5334  time: 0.7332  data: 0.0001  max mem: 36274
Train Epoch: [12]  [1200/6487]  eta: 1:04:55  lr: 0.000085  loss_ita: 1.7490  loss_itm: 0.0854  loss_lm: 1.5256  time: 0.7322  data: 0.0001  max mem: 36274
Train Epoch: [12]  [1400/6487]  eta: 1:02:25  lr: 0.000085  loss_ita: 2.1193  loss_itm: 0.1061  loss_lm: 1.7700  time: 0.7332  data: 0.0001  max mem: 36274
Train Epoch: [12]  [1600/6487]  eta: 0:59:55  lr: 0.000085  loss_ita: 1.4334  loss_itm: 0.0590  loss_lm: 1.2983  time: 0.7345  data: 0.0001  max mem: 36274
Train Epoch: [12]  [1800/6487]  eta: 0:57:27  lr: 0.000085  loss_ita: 1.3004  loss_itm: 0.0524  loss_lm: 1.4545  time: 0.7341  data: 0.0001  max mem: 36274
Train Epoch: [12]  [2000/6487]  eta: 0:55:00  lr: 0.000085  loss_ita: 1.5461  loss_itm: 0.0968  loss_lm: 1.5797  time: 0.7345  data: 0.0001  max mem: 36274
Train Epoch: [12]  [2200/6487]  eta: 0:52:32  lr: 0.000085  loss_ita: 1.8701  loss_itm: 0.1230  loss_lm: 1.3922  time: 0.7343  data: 0.0001  max mem: 36274
Train Epoch: [12]  [2400/6487]  eta: 0:50:04  lr: 0.000085  loss_ita: 1.5840  loss_itm: 0.0954  loss_lm: 1.6095  time: 0.7336  data: 0.0001  max mem: 36274
Train Epoch: [12]  [2600/6487]  eta: 0:47:37  lr: 0.000085  loss_ita: 1.7162  loss_itm: 0.1044  loss_lm: 1.6381  time: 0.7332  data: 0.0001  max mem: 36274
Train Epoch: [12]  [2800/6487]  eta: 0:45:10  lr: 0.000085  loss_ita: 1.9505  loss_itm: 0.0965  loss_lm: 1.6691  time: 0.7338  data: 0.0001  max mem: 36274
Train Epoch: [12]  [3000/6487]  eta: 0:42:42  lr: 0.000085  loss_ita: 1.8265  loss_itm: 0.1029  loss_lm: 1.3994  time: 0.7336  data: 0.0001  max mem: 36274
Train Epoch: [12]  [3200/6487]  eta: 0:40:15  lr: 0.000085  loss_ita: 1.6116  loss_itm: 0.0731  loss_lm: 1.5910  time: 0.7341  data: 0.0001  max mem: 36274
Train Epoch: [12]  [3400/6487]  eta: 0:37:48  lr: 0.000085  loss_ita: 1.6177  loss_itm: 0.0476  loss_lm: 1.4696  time: 0.7340  data: 0.0001  max mem: 36274
Train Epoch: [12]  [3600/6487]  eta: 0:35:21  lr: 0.000085  loss_ita: 1.5722  loss_itm: 0.0550  loss_lm: 1.5783  time: 0.7349  data: 0.0001  max mem: 36274
Train Epoch: [12]  [3800/6487]  eta: 0:32:54  lr: 0.000085  loss_ita: 1.8228  loss_itm: 0.1079  loss_lm: 1.8028  time: 0.7355  data: 0.0001  max mem: 36274
Train Epoch: [12]  [4000/6487]  eta: 0:30:27  lr: 0.000085  loss_ita: 1.8167  loss_itm: 0.1016  loss_lm: 1.6726  time: 0.7345  data: 0.0001  max mem: 36274
Train Epoch: [12]  [4200/6487]  eta: 0:28:00  lr: 0.000085  loss_ita: 1.1373  loss_itm: 0.0327  loss_lm: 1.4560  time: 0.7356  data: 0.0001  max mem: 36274
Train Epoch: [12]  [4400/6487]  eta: 0:25:33  lr: 0.000085  loss_ita: 1.5769  loss_itm: 0.1592  loss_lm: 1.4299  time: 0.7345  data: 0.0001  max mem: 36274
Train Epoch: [12]  [4600/6487]  eta: 0:23:06  lr: 0.000085  loss_ita: 1.4496  loss_itm: 0.0901  loss_lm: 1.5826  time: 0.7351  data: 0.0001  max mem: 36274
Train Epoch: [12]  [4800/6487]  eta: 0:20:39  lr: 0.000085  loss_ita: 1.6305  loss_itm: 0.1393  loss_lm: 1.6886  time: 0.7355  data: 0.0001  max mem: 36274
Train Epoch: [12]  [5000/6487]  eta: 0:18:12  lr: 0.000085  loss_ita: 1.9968  loss_itm: 0.1045  loss_lm: 1.5791  time: 0.7354  data: 0.0001  max mem: 36274
Train Epoch: [12]  [5200/6487]  eta: 0:15:45  lr: 0.000085  loss_ita: 1.9580  loss_itm: 0.0569  loss_lm: 1.6073  time: 0.7350  data: 0.0001  max mem: 36274
Train Epoch: [12]  [5400/6487]  eta: 0:13:18  lr: 0.000085  loss_ita: 1.5121  loss_itm: 0.0645  loss_lm: 1.4472  time: 0.7355  data: 0.0001  max mem: 36274
Train Epoch: [12]  [5600/6487]  eta: 0:10:51  lr: 0.000085  loss_ita: 1.4402  loss_itm: 0.0392  loss_lm: 1.6624  time: 0.7348  data: 0.0001  max mem: 36274
Train Epoch: [12]  [5800/6487]  eta: 0:08:24  lr: 0.000085  loss_ita: 1.8456  loss_itm: 0.1365  loss_lm: 1.5046  time: 0.7335  data: 0.0001  max mem: 36274
Train Epoch: [12]  [6000/6487]  eta: 0:05:57  lr: 0.000085  loss_ita: 2.0071  loss_itm: 0.1263  loss_lm: 1.4474  time: 0.7346  data: 0.0001  max mem: 36274
Train Epoch: [12]  [6200/6487]  eta: 0:03:30  lr: 0.000085  loss_ita: 1.5089  loss_itm: 0.0400  loss_lm: 1.5521  time: 0.7343  data: 0.0001  max mem: 36274
Train Epoch: [12]  [6400/6487]  eta: 0:01:03  lr: 0.000085  loss_ita: 1.2930  loss_itm: 0.0543  loss_lm: 1.4378  time: 0.7355  data: 0.0001  max mem: 36274
Train Epoch: [12]  [6486/6487]  eta: 0:00:00  lr: 0.000085  loss_ita: 1.6576  loss_itm: 0.1869  loss_lm: 1.2797  time: 0.7262  data: 0.0007  max mem: 36274
Train Epoch: [12] Total time: 1:19:28 (0.7351 s / it)
Averaged stats: lr: 0.0001  loss_ita: 1.6467  loss_itm: 0.0905  loss_lm: 1.5547
Train Epoch: [13]  [   0/6487]  eta: 8:01:18  lr: 0.000076  loss_ita: 1.3865  loss_itm: 0.0477  loss_lm: 1.4833  time: 4.4517  data: 3.1045  max mem: 36274
Train Epoch: [13]  [ 200/6487]  eta: 1:18:48  lr: 0.000076  loss_ita: 1.5228  loss_itm: 0.0703  loss_lm: 1.6078  time: 0.7327  data: 0.0001  max mem: 36274
Train Epoch: [13]  [ 400/6487]  eta: 1:15:21  lr: 0.000076  loss_ita: 1.7569  loss_itm: 0.0610  loss_lm: 1.5131  time: 0.7324  data: 0.0001  max mem: 36274
Train Epoch: [13]  [ 600/6487]  eta: 1:12:34  lr: 0.000076  loss_ita: 1.5267  loss_itm: 0.0708  loss_lm: 1.5412  time: 0.7326  data: 0.0001  max mem: 36274
Train Epoch: [13]  [ 800/6487]  eta: 1:09:57  lr: 0.000076  loss_ita: 1.8064  loss_itm: 0.1052  loss_lm: 1.5297  time: 0.7326  data: 0.0001  max mem: 36274
Train Epoch: [13]  [1000/6487]  eta: 1:07:24  lr: 0.000076  loss_ita: 1.6441  loss_itm: 0.0860  loss_lm: 1.5476  time: 0.7321  data: 0.0001  max mem: 36274
Train Epoch: [13]  [1200/6487]  eta: 1:04:53  lr: 0.000076  loss_ita: 1.7687  loss_itm: 0.1119  loss_lm: 1.4217  time: 0.7315  data: 0.0001  max mem: 36274
Train Epoch: [13]  [1400/6487]  eta: 1:02:23  lr: 0.000076  loss_ita: 1.4737  loss_itm: 0.0558  loss_lm: 1.5403  time: 0.7334  data: 0.0001  max mem: 36274
Train Epoch: [13]  [1600/6487]  eta: 0:59:54  lr: 0.000076  loss_ita: 1.4857  loss_itm: 0.0726  loss_lm: 1.5567  time: 0.7323  data: 0.0001  max mem: 36274
Train Epoch: [13]  [1800/6487]  eta: 0:57:26  lr: 0.000076  loss_ita: 1.1189  loss_itm: 0.0294  loss_lm: 1.5008  time: 0.7336  data: 0.0001  max mem: 36274
Train Epoch: [13]  [2000/6487]  eta: 0:54:57  lr: 0.000076  loss_ita: 1.1995  loss_itm: 0.0626  loss_lm: 1.4041  time: 0.7323  data: 0.0001  max mem: 36274
Train Epoch: [13]  [2200/6487]  eta: 0:52:30  lr: 0.000076  loss_ita: 1.8139  loss_itm: 0.0819  loss_lm: 1.5058  time: 0.7325  data: 0.0001  max mem: 36274
Train Epoch: [13]  [2400/6487]  eta: 0:50:02  lr: 0.000076  loss_ita: 1.2412  loss_itm: 0.0382  loss_lm: 1.3584  time: 0.7340  data: 0.0001  max mem: 36274
Train Epoch: [13]  [2600/6487]  eta: 0:47:35  lr: 0.000076  loss_ita: 1.5512  loss_itm: 0.0759  loss_lm: 1.6928  time: 0.7354  data: 0.0001  max mem: 36274
Train Epoch: [13]  [2800/6487]  eta: 0:45:08  lr: 0.000076  loss_ita: 2.1165  loss_itm: 0.1420  loss_lm: 1.5573  time: 0.7343  data: 0.0001  max mem: 36274
Train Epoch: [13]  [3000/6487]  eta: 0:42:40  lr: 0.000076  loss_ita: 2.2545  loss_itm: 0.0741  loss_lm: 1.6158  time: 0.7338  data: 0.0001  max mem: 36274
Train Epoch: [13]  [3200/6487]  eta: 0:40:13  lr: 0.000076  loss_ita: 2.0859  loss_itm: 0.0841  loss_lm: 1.4820  time: 0.7334  data: 0.0001  max mem: 36274
Train Epoch: [13]  [3400/6487]  eta: 0:37:46  lr: 0.000076  loss_ita: 2.1828  loss_itm: 0.0294  loss_lm: 1.4402  time: 0.7336  data: 0.0001  max mem: 36274
Train Epoch: [13]  [3600/6487]  eta: 0:35:19  lr: 0.000076  loss_ita: 1.9982  loss_itm: 0.0637  loss_lm: 1.8134  time: 0.7334  data: 0.0001  max mem: 36274
Train Epoch: [13]  [3800/6487]  eta: 0:32:52  lr: 0.000076  loss_ita: 1.7892  loss_itm: 0.0792  loss_lm: 1.5510  time: 0.7321  data: 0.0001  max mem: 36274
Train Epoch: [13]  [4000/6487]  eta: 0:30:25  lr: 0.000076  loss_ita: 1.5031  loss_itm: 0.0719  loss_lm: 1.5849  time: 0.7335  data: 0.0001  max mem: 36274
Train Epoch: [13]  [4200/6487]  eta: 0:27:58  lr: 0.000076  loss_ita: 1.3256  loss_itm: 0.0554  loss_lm: 1.3438  time: 0.7316  data: 0.0001  max mem: 36274
Train Epoch: [13]  [4400/6487]  eta: 0:25:31  lr: 0.000076  loss_ita: 1.0994  loss_itm: 0.0288  loss_lm: 1.4986  time: 0.7329  data: 0.0001  max mem: 36274
Train Epoch: [13]  [4600/6487]  eta: 0:23:05  lr: 0.000076  loss_ita: 1.6632  loss_itm: 0.1068  loss_lm: 1.5794  time: 0.7321  data: 0.0001  max mem: 36274
Train Epoch: [13]  [4800/6487]  eta: 0:20:38  lr: 0.000076  loss_ita: 1.6077  loss_itm: 0.0874  loss_lm: 1.4734  time: 0.7316  data: 0.0001  max mem: 36274
Train Epoch: [13]  [5000/6487]  eta: 0:18:11  lr: 0.000076  loss_ita: 1.5170  loss_itm: 0.0671  loss_lm: 1.4514  time: 0.7326  data: 0.0001  max mem: 36274
Train Epoch: [13]  [5200/6487]  eta: 0:15:44  lr: 0.000076  loss_ita: 1.4554  loss_itm: 0.0432  loss_lm: 1.4497  time: 0.7328  data: 0.0001  max mem: 36274
Train Epoch: [13]  [5400/6487]  eta: 0:13:17  lr: 0.000076  loss_ita: 1.9711  loss_itm: 0.0869  loss_lm: 1.6902  time: 0.7320  data: 0.0001  max mem: 36274
Train Epoch: [13]  [5600/6487]  eta: 0:10:50  lr: 0.000076  loss_ita: 1.4985  loss_itm: 0.0825  loss_lm: 1.4346  time: 0.7327  data: 0.0001  max mem: 36274
Train Epoch: [13]  [5800/6487]  eta: 0:08:24  lr: 0.000076  loss_ita: 1.5199  loss_itm: 0.0684  loss_lm: 1.3823  time: 0.7334  data: 0.0001  max mem: 36274
Train Epoch: [13]  [6000/6487]  eta: 0:05:57  lr: 0.000076  loss_ita: 1.5302  loss_itm: 0.1174  loss_lm: 1.7622  time: 0.7325  data: 0.0001  max mem: 36274
Train Epoch: [13]  [6200/6487]  eta: 0:03:30  lr: 0.000076  loss_ita: 1.4003  loss_itm: 0.0701  loss_lm: 1.5438  time: 0.7322  data: 0.0001  max mem: 36274
Train Epoch: [13]  [6400/6487]  eta: 0:01:03  lr: 0.000076  loss_ita: 1.4579  loss_itm: 0.0565  loss_lm: 1.4656  time: 0.7328  data: 0.0001  max mem: 36274
Train Epoch: [13]  [6486/6487]  eta: 0:00:00  lr: 0.000076  loss_ita: 1.6969  loss_itm: 0.0759  loss_lm: 1.4092  time: 0.7244  data: 0.0009  max mem: 36274
Train Epoch: [13] Total time: 1:19:19 (0.7337 s / it)
Averaged stats: lr: 0.0001  loss_ita: 1.6278  loss_itm: 0.0868  loss_lm: 1.5357
Train Epoch: [14]  [   0/6487]  eta: 7:18:42  lr: 0.000069  loss_ita: 1.4422  loss_itm: 0.0870  loss_lm: 1.5949  time: 4.0577  data: 2.6623  max mem: 36274
Train Epoch: [14]  [ 200/6487]  eta: 1:18:40  lr: 0.000069  loss_ita: 1.9217  loss_itm: 0.1252  loss_lm: 1.5784  time: 0.7353  data: 0.0001  max mem: 36274
Train Epoch: [14]  [ 400/6487]  eta: 1:15:19  lr: 0.000069  loss_ita: 1.4188  loss_itm: 0.0778  loss_lm: 1.4880  time: 0.7336  data: 0.0001  max mem: 36274
Train Epoch: [14]  [ 600/6487]  eta: 1:12:34  lr: 0.000069  loss_ita: 1.8464  loss_itm: 0.1059  loss_lm: 1.4435  time: 0.7344  data: 0.0001  max mem: 36274
Train Epoch: [14]  [ 800/6487]  eta: 1:09:57  lr: 0.000069  loss_ita: 2.0948  loss_itm: 0.0926  loss_lm: 1.3939  time: 0.7339  data: 0.0001  max mem: 36274
Train Epoch: [14]  [1000/6487]  eta: 1:07:24  lr: 0.000069  loss_ita: 1.7272  loss_itm: 0.0757  loss_lm: 1.6034  time: 0.7340  data: 0.0001  max mem: 36274
Train Epoch: [14]  [1200/6487]  eta: 1:04:55  lr: 0.000069  loss_ita: 1.5680  loss_itm: 0.0884  loss_lm: 1.5663  time: 0.7347  data: 0.0001  max mem: 36274
Train Epoch: [14]  [1400/6487]  eta: 1:02:26  lr: 0.000069  loss_ita: 1.5791  loss_itm: 0.0801  loss_lm: 1.4481  time: 0.7339  data: 0.0001  max mem: 36274
Train Epoch: [14]  [1600/6487]  eta: 0:59:58  lr: 0.000069  loss_ita: 1.6054  loss_itm: 0.1064  loss_lm: 1.6649  time: 0.7348  data: 0.0001  max mem: 36274
Train Epoch: [14]  [1800/6487]  eta: 0:57:29  lr: 0.000069  loss_ita: 1.0850  loss_itm: 0.0301  loss_lm: 1.3490  time: 0.7344  data: 0.0001  max mem: 36274
Train Epoch: [14]  [2000/6487]  eta: 0:55:02  lr: 0.000069  loss_ita: 1.4150  loss_itm: 0.0542  loss_lm: 1.4529  time: 0.7344  data: 0.0001  max mem: 36274
Train Epoch: [14]  [2200/6487]  eta: 0:52:34  lr: 0.000069  loss_ita: 1.7790  loss_itm: 0.1010  loss_lm: 1.6394  time: 0.7338  data: 0.0001  max mem: 36274
Train Epoch: [14]  [2400/6487]  eta: 0:50:06  lr: 0.000069  loss_ita: 1.6547  loss_itm: 0.0844  loss_lm: 1.7173  time: 0.7347  data: 0.0001  max mem: 36274
Train Epoch: [14]  [2600/6487]  eta: 0:47:39  lr: 0.000069  loss_ita: 1.2513  loss_itm: 0.0452  loss_lm: 1.6060  time: 0.7364  data: 0.0001  max mem: 36274
Train Epoch: [14]  [2800/6487]  eta: 0:45:11  lr: 0.000069  loss_ita: 1.9347  loss_itm: 0.1170  loss_lm: 1.4814  time: 0.7346  data: 0.0001  max mem: 36274
Train Epoch: [14]  [3000/6487]  eta: 0:42:44  lr: 0.000069  loss_ita: 1.4585  loss_itm: 0.0573  loss_lm: 1.5668  time: 0.7357  data: 0.0001  max mem: 36274
Train Epoch: [14]  [3200/6487]  eta: 0:40:17  lr: 0.000069  loss_ita: 1.4591  loss_itm: 0.0605  loss_lm: 1.4524  time: 0.7349  data: 0.0001  max mem: 36274
Train Epoch: [14]  [3400/6487]  eta: 0:37:49  lr: 0.000069  loss_ita: 1.2835  loss_itm: 0.0681  loss_lm: 1.5397  time: 0.7347  data: 0.0001  max mem: 36274
Train Epoch: [14]  [3600/6487]  eta: 0:35:22  lr: 0.000069  loss_ita: 1.5970  loss_itm: 0.0766  loss_lm: 1.4097  time: 0.7345  data: 0.0001  max mem: 36274
Train Epoch: [14]  [3800/6487]  eta: 0:32:55  lr: 0.000069  loss_ita: 1.5960  loss_itm: 0.0640  loss_lm: 1.6007  time: 0.7328  data: 0.0001  max mem: 36274
Train Epoch: [14]  [4000/6487]  eta: 0:30:28  lr: 0.000069  loss_ita: 1.6497  loss_itm: 0.0722  loss_lm: 1.5078  time: 0.7342  data: 0.0001  max mem: 36274
Train Epoch: [14]  [4200/6487]  eta: 0:28:01  lr: 0.000069  loss_ita: 1.5346  loss_itm: 0.0822  loss_lm: 1.5890  time: 0.7347  data: 0.0001  max mem: 36274
Train Epoch: [14]  [4400/6487]  eta: 0:25:34  lr: 0.000069  loss_ita: 1.7993  loss_itm: 0.1077  loss_lm: 1.4741  time: 0.7347  data: 0.0001  max mem: 36274
Train Epoch: [14]  [4600/6487]  eta: 0:23:07  lr: 0.000069  loss_ita: 1.4294  loss_itm: 0.1177  loss_lm: 1.5964  time: 0.7359  data: 0.0001  max mem: 36274
Train Epoch: [14]  [4800/6487]  eta: 0:20:40  lr: 0.000069  loss_ita: 1.5160  loss_itm: 0.0613  loss_lm: 1.4810  time: 0.7345  data: 0.0001  max mem: 36274
Train Epoch: [14]  [5000/6487]  eta: 0:18:13  lr: 0.000069  loss_ita: 1.7856  loss_itm: 0.1195  loss_lm: 1.5732  time: 0.7361  data: 0.0001  max mem: 36274
Train Epoch: [14]  [5200/6487]  eta: 0:15:46  lr: 0.000069  loss_ita: 1.4127  loss_itm: 0.0752  loss_lm: 1.5283  time: 0.7345  data: 0.0001  max mem: 36274
Train Epoch: [14]  [5400/6487]  eta: 0:13:19  lr: 0.000069  loss_ita: 1.8259  loss_itm: 0.1182  loss_lm: 1.7137  time: 0.7349  data: 0.0001  max mem: 36274
Train Epoch: [14]  [5600/6487]  eta: 0:10:52  lr: 0.000069  loss_ita: 1.0968  loss_itm: 0.0454  loss_lm: 1.3803  time: 0.7352  data: 0.0001  max mem: 36274
Train Epoch: [14]  [5800/6487]  eta: 0:08:25  lr: 0.000069  loss_ita: 1.8453  loss_itm: 0.0657  loss_lm: 1.5097  time: 0.7363  data: 0.0001  max mem: 36274
Train Epoch: [14]  [6000/6487]  eta: 0:05:58  lr: 0.000069  loss_ita: 1.7329  loss_itm: 0.0883  loss_lm: 1.6915  time: 0.7373  data: 0.0001  max mem: 36274
Train Epoch: [14]  [6200/6487]  eta: 0:03:31  lr: 0.000069  loss_ita: 1.3687  loss_itm: 0.0599  loss_lm: 1.6309  time: 0.7349  data: 0.0001  max mem: 36274
Train Epoch: [14]  [6400/6487]  eta: 0:01:03  lr: 0.000069  loss_ita: 1.5108  loss_itm: 0.0699  loss_lm: 1.5694  time: 0.7356  data: 0.0001  max mem: 36274
Train Epoch: [14]  [6486/6487]  eta: 0:00:00  lr: 0.000069  loss_ita: 1.6140  loss_itm: 0.0990  loss_lm: 1.5530  time: 0.7272  data: 0.0009  max mem: 36274
Train Epoch: [14] Total time: 1:19:29 (0.7353 s / it)
Averaged stats: lr: 0.0001  loss_ita: 1.5255  loss_itm: 0.0827  loss_lm: 1.5183
Train Epoch: [15]  [   0/6487]  eta: 7:55:29  lr: 0.000062  loss_ita: 1.6592  loss_itm: 0.1153  loss_lm: 1.6353  time: 4.3979  data: 2.6545  max mem: 36274
Train Epoch: [15]  [ 200/6487]  eta: 1:18:58  lr: 0.000062  loss_ita: 1.4514  loss_itm: 0.0659  loss_lm: 1.4114  time: 0.7352  data: 0.0001  max mem: 36274
Train Epoch: [15]  [ 400/6487]  eta: 1:15:32  lr: 0.000062  loss_ita: 1.3847  loss_itm: 0.0804  loss_lm: 1.4922  time: 0.7352  data: 0.0001  max mem: 36274
Train Epoch: [15]  [ 600/6487]  eta: 1:12:44  lr: 0.000062  loss_ita: 1.5513  loss_itm: 0.0894  loss_lm: 1.4719  time: 0.7367  data: 0.0001  max mem: 36274
Train Epoch: [15]  [ 800/6487]  eta: 1:10:08  lr: 0.000062  loss_ita: 1.5777  loss_itm: 0.0998  loss_lm: 1.4669  time: 0.7366  data: 0.0001  max mem: 36274
Train Epoch: [15]  [1000/6487]  eta: 1:07:36  lr: 0.000062  loss_ita: 1.2171  loss_itm: 0.0536  loss_lm: 1.4154  time: 0.7368  data: 0.0001  max mem: 36274
Train Epoch: [15]  [1200/6487]  eta: 1:05:04  lr: 0.000062  loss_ita: 1.4567  loss_itm: 0.1759  loss_lm: 1.4661  time: 0.7344  data: 0.0001  max mem: 36274
Train Epoch: [15]  [1400/6487]  eta: 1:02:34  lr: 0.000062  loss_ita: 1.4972  loss_itm: 0.1792  loss_lm: 1.2934  time: 0.7365  data: 0.0001  max mem: 36274
Train Epoch: [15]  [1600/6487]  eta: 1:00:05  lr: 0.000062  loss_ita: 1.1989  loss_itm: 0.0364  loss_lm: 1.3966  time: 0.7336  data: 0.0001  max mem: 36274
Train Epoch: [15]  [1800/6487]  eta: 0:57:36  lr: 0.000062  loss_ita: 1.2676  loss_itm: 0.0657  loss_lm: 1.5293  time: 0.7358  data: 0.0001  max mem: 36274
Train Epoch: [15]  [2000/6487]  eta: 0:55:08  lr: 0.000062  loss_ita: 1.3188  loss_itm: 0.0372  loss_lm: 1.6142  time: 0.7338  data: 0.0001  max mem: 36274
Train Epoch: [15]  [2200/6487]  eta: 0:52:39  lr: 0.000062  loss_ita: 1.7459  loss_itm: 0.1660  loss_lm: 1.4816  time: 0.7359  data: 0.0001  max mem: 36274
Train Epoch: [15]  [2400/6487]  eta: 0:50:11  lr: 0.000062  loss_ita: 1.0394  loss_itm: 0.1474  loss_lm: 1.5634  time: 0.7345  data: 0.0001  max mem: 36274
Train Epoch: [15]  [2600/6487]  eta: 0:47:43  lr: 0.000062  loss_ita: 1.5547  loss_itm: 0.0640  loss_lm: 1.6611  time: 0.7331  data: 0.0001  max mem: 36274
Train Epoch: [15]  [2800/6487]  eta: 0:45:15  lr: 0.000062  loss_ita: 1.4637  loss_itm: 0.0648  loss_lm: 1.4795  time: 0.7332  data: 0.0001  max mem: 36274
Train Epoch: [15]  [3000/6487]  eta: 0:42:47  lr: 0.000062  loss_ita: 1.1805  loss_itm: 0.0725  loss_lm: 1.2788  time: 0.7346  data: 0.0001  max mem: 36274
Train Epoch: [15]  [3200/6487]  eta: 0:40:20  lr: 0.000062  loss_ita: 1.1226  loss_itm: 0.0172  loss_lm: 1.5189  time: 0.7351  data: 0.0001  max mem: 36274
Train Epoch: [15]  [3400/6487]  eta: 0:37:52  lr: 0.000062  loss_ita: 1.0461  loss_itm: 0.0492  loss_lm: 1.3825  time: 0.7348  data: 0.0001  max mem: 36274
Train Epoch: [15]  [3600/6487]  eta: 0:35:25  lr: 0.000062  loss_ita: 1.1930  loss_itm: 0.0610  loss_lm: 1.5054  time: 0.7330  data: 0.0001  max mem: 36274
Train Epoch: [15]  [3800/6487]  eta: 0:32:57  lr: 0.000062  loss_ita: 1.3288  loss_itm: 0.0704  loss_lm: 1.3290  time: 0.7346  data: 0.0001  max mem: 36274
Train Epoch: [15]  [4000/6487]  eta: 0:30:30  lr: 0.000062  loss_ita: 1.4936  loss_itm: 0.0885  loss_lm: 1.5572  time: 0.7344  data: 0.0001  max mem: 36274
Train Epoch: [15]  [4200/6487]  eta: 0:28:03  lr: 0.000062  loss_ita: 1.3814  loss_itm: 0.0507  loss_lm: 1.5326  time: 0.7366  data: 0.0001  max mem: 36274
Train Epoch: [15]  [4400/6487]  eta: 0:25:35  lr: 0.000062  loss_ita: 1.5735  loss_itm: 0.1418  loss_lm: 1.3675  time: 0.7341  data: 0.0001  max mem: 36274
Train Epoch: [15]  [4600/6487]  eta: 0:23:08  lr: 0.000062  loss_ita: 1.2658  loss_itm: 0.1099  loss_lm: 1.5835  time: 0.7334  data: 0.0001  max mem: 36274
Train Epoch: [15]  [4800/6487]  eta: 0:20:41  lr: 0.000062  loss_ita: 1.5418  loss_itm: 0.0730  loss_lm: 1.4587  time: 0.7351  data: 0.0001  max mem: 36274
Train Epoch: [15]  [5000/6487]  eta: 0:18:14  lr: 0.000062  loss_ita: 1.8734  loss_itm: 0.0812  loss_lm: 1.7661  time: 0.7351  data: 0.0001  max mem: 36274
Train Epoch: [15]  [5200/6487]  eta: 0:15:46  lr: 0.000062  loss_ita: 1.2696  loss_itm: 0.0396  loss_lm: 1.4308  time: 0.7360  data: 0.0001  max mem: 36274
Train Epoch: [15]  [5400/6487]  eta: 0:13:19  lr: 0.000062  loss_ita: 1.3809  loss_itm: 0.0460  loss_lm: 1.6034  time: 0.7352  data: 0.0001  max mem: 36274
Train Epoch: [15]  [5600/6487]  eta: 0:10:52  lr: 0.000062  loss_ita: 1.2246  loss_itm: 0.0981  loss_lm: 1.3124  time: 0.7355  data: 0.0001  max mem: 36274
Train Epoch: [15]  [5800/6487]  eta: 0:08:25  lr: 0.000062  loss_ita: 1.4841  loss_itm: 0.0570  loss_lm: 1.5318  time: 0.7349  data: 0.0001  max mem: 36274
Train Epoch: [15]  [6000/6487]  eta: 0:05:58  lr: 0.000062  loss_ita: 1.4537  loss_itm: 0.0736  loss_lm: 1.4596  time: 0.7356  data: 0.0001  max mem: 36274
Train Epoch: [15]  [6200/6487]  eta: 0:03:31  lr: 0.000062  loss_ita: 1.1707  loss_itm: 0.0342  loss_lm: 1.3470  time: 0.7356  data: 0.0001  max mem: 36274
Train Epoch: [15]  [6400/6487]  eta: 0:01:03  lr: 0.000062  loss_ita: 1.3749  loss_itm: 0.1064  loss_lm: 1.5873  time: 0.7353  data: 0.0001  max mem: 36274
Train Epoch: [15]  [6486/6487]  eta: 0:00:00  lr: 0.000062  loss_ita: 1.4883  loss_itm: 0.0612  loss_lm: 1.5764  time: 0.7267  data: 0.0009  max mem: 36274
Train Epoch: [15] Total time: 1:19:33 (0.7358 s / it)
Averaged stats: lr: 0.0001  loss_ita: 1.4336  loss_itm: 0.0792  loss_lm: 1.5021
Train Epoch: [16]  [   0/6487]  eta: 7:18:32  lr: 0.000056  loss_ita: 1.3299  loss_itm: 0.0856  loss_lm: 1.3611  time: 4.0562  data: 3.1242  max mem: 36274
Train Epoch: [16]  [ 200/6487]  eta: 1:18:40  lr: 0.000056  loss_ita: 1.6624  loss_itm: 0.0968  loss_lm: 1.3715  time: 0.7335  data: 0.0001  max mem: 36274
Train Epoch: [16]  [ 400/6487]  eta: 1:15:18  lr: 0.000056  loss_ita: 1.5827  loss_itm: 0.0819  loss_lm: 1.5445  time: 0.7336  data: 0.0001  max mem: 36274
Train Epoch: [16]  [ 600/6487]  eta: 1:12:32  lr: 0.000056  loss_ita: 1.1634  loss_itm: 0.0346  loss_lm: 1.3809  time: 0.7344  data: 0.0001  max mem: 36274
Train Epoch: [16]  [ 800/6487]  eta: 1:09:57  lr: 0.000056  loss_ita: 1.8881  loss_itm: 0.1079  loss_lm: 1.5666  time: 0.7335  data: 0.0001  max mem: 36274
Train Epoch: [16]  [1000/6487]  eta: 1:07:26  lr: 0.000056  loss_ita: 1.4803  loss_itm: 0.0744  loss_lm: 1.6313  time: 0.7345  data: 0.0001  max mem: 36274
Train Epoch: [16]  [1200/6487]  eta: 1:04:55  lr: 0.000056  loss_ita: 1.5305  loss_itm: 0.0808  loss_lm: 1.5243  time: 0.7338  data: 0.0001  max mem: 36274
Train Epoch: [16]  [1400/6487]  eta: 1:02:25  lr: 0.000056  loss_ita: 1.2765  loss_itm: 0.0370  loss_lm: 1.4588  time: 0.7340  data: 0.0001  max mem: 36274
Train Epoch: [16]  [1600/6487]  eta: 0:59:57  lr: 0.000056  loss_ita: 1.1449  loss_itm: 0.0539  loss_lm: 1.4092  time: 0.7335  data: 0.0001  max mem: 36274
Train Epoch: [16]  [1800/6487]  eta: 0:57:29  lr: 0.000056  loss_ita: 1.0355  loss_itm: 0.1238  loss_lm: 1.3563  time: 0.7344  data: 0.0001  max mem: 36274
Train Epoch: [16]  [2000/6487]  eta: 0:55:01  lr: 0.000056  loss_ita: 1.3293  loss_itm: 0.0843  loss_lm: 1.4756  time: 0.7338  data: 0.0001  max mem: 36274
Train Epoch: [16]  [2200/6487]  eta: 0:52:33  lr: 0.000056  loss_ita: 1.6427  loss_itm: 0.0667  loss_lm: 1.4701  time: 0.7329  data: 0.0001  max mem: 36274
Train Epoch: [16]  [2400/6487]  eta: 0:50:05  lr: 0.000056  loss_ita: 1.4483  loss_itm: 0.0376  loss_lm: 1.4143  time: 0.7335  data: 0.0001  max mem: 36274
Train Epoch: [16]  [2600/6487]  eta: 0:47:38  lr: 0.000056  loss_ita: 1.2352  loss_itm: 0.0617  loss_lm: 1.2895  time: 0.7346  data: 0.0001  max mem: 36274
Train Epoch: [16]  [2800/6487]  eta: 0:45:11  lr: 0.000056  loss_ita: 1.3933  loss_itm: 0.1936  loss_lm: 1.4256  time: 0.7346  data: 0.0001  max mem: 36274
Train Epoch: [16]  [3000/6487]  eta: 0:42:43  lr: 0.000056  loss_ita: 1.4503  loss_itm: 0.0614  loss_lm: 1.4382  time: 0.7350  data: 0.0001  max mem: 36274
Train Epoch: [16]  [3200/6487]  eta: 0:40:16  lr: 0.000056  loss_ita: 1.3597  loss_itm: 0.1052  loss_lm: 1.4930  time: 0.7355  data: 0.0001  max mem: 36275
Train Epoch: [16]  [3400/6487]  eta: 0:37:49  lr: 0.000056  loss_ita: 1.2487  loss_itm: 0.0388  loss_lm: 1.6426  time: 0.7340  data: 0.0001  max mem: 36275
Train Epoch: [16]  [3600/6487]  eta: 0:35:22  lr: 0.000056  loss_ita: 1.1856  loss_itm: 0.0754  loss_lm: 1.3932  time: 0.7352  data: 0.0001  max mem: 36275
Train Epoch: [16]  [3800/6487]  eta: 0:32:55  lr: 0.000056  loss_ita: 1.2942  loss_itm: 0.0525  loss_lm: 1.4301  time: 0.7340  data: 0.0001  max mem: 36275
Train Epoch: [16]  [4000/6487]  eta: 0:30:28  lr: 0.000056  loss_ita: 1.2722  loss_itm: 0.0457  loss_lm: 1.4060  time: 0.7369  data: 0.0001  max mem: 36275
Train Epoch: [16]  [4200/6487]  eta: 0:28:01  lr: 0.000056  loss_ita: 1.4734  loss_itm: 0.0927  loss_lm: 1.6133  time: 0.7344  data: 0.0001  max mem: 36275
Train Epoch: [16]  [4400/6487]  eta: 0:25:34  lr: 0.000056  loss_ita: 1.3360  loss_itm: 0.1425  loss_lm: 1.4103  time: 0.7357  data: 0.0001  max mem: 36275
Train Epoch: [16]  [4600/6487]  eta: 0:23:07  lr: 0.000056  loss_ita: 1.3950  loss_itm: 0.0854  loss_lm: 1.4849  time: 0.7365  data: 0.0001  max mem: 36275
Train Epoch: [16]  [4800/6487]  eta: 0:20:40  lr: 0.000056  loss_ita: 1.2091  loss_itm: 0.0821  loss_lm: 1.4977  time: 0.7365  data: 0.0001  max mem: 36275
Train Epoch: [16]  [5000/6487]  eta: 0:18:13  lr: 0.000056  loss_ita: 1.6639  loss_itm: 0.1169  loss_lm: 1.4779  time: 0.7359  data: 0.0001  max mem: 36276
Train Epoch: [16]  [5200/6487]  eta: 0:15:46  lr: 0.000056  loss_ita: 1.2041  loss_itm: 0.0279  loss_lm: 1.4801  time: 0.7355  data: 0.0001  max mem: 36276
Train Epoch: [16]  [5400/6487]  eta: 0:13:19  lr: 0.000056  loss_ita: 1.3112  loss_itm: 0.0521  loss_lm: 1.4666  time: 0.7356  data: 0.0001  max mem: 36276
Train Epoch: [16]  [5600/6487]  eta: 0:10:52  lr: 0.000056  loss_ita: 1.2985  loss_itm: 0.0479  loss_lm: 1.6816  time: 0.7344  data: 0.0001  max mem: 36276
Train Epoch: [16]  [5800/6487]  eta: 0:08:25  lr: 0.000056  loss_ita: 1.4587  loss_itm: 0.0822  loss_lm: 1.5075  time: 0.7387  data: 0.0001  max mem: 36276
Train Epoch: [16]  [6000/6487]  eta: 0:05:58  lr: 0.000056  loss_ita: 1.3371  loss_itm: 0.1025  loss_lm: 1.5220  time: 0.7367  data: 0.0001  max mem: 36276
Train Epoch: [16]  [6200/6487]  eta: 0:03:31  lr: 0.000056  loss_ita: 1.5327  loss_itm: 0.0487  loss_lm: 1.5551  time: 0.7360  data: 0.0001  max mem: 36276
Train Epoch: [16]  [6400/6487]  eta: 0:01:03  lr: 0.000056  loss_ita: 1.3179  loss_itm: 0.0408  loss_lm: 1.4051  time: 0.7367  data: 0.0001  max mem: 36276
Train Epoch: [16]  [6486/6487]  eta: 0:00:00  lr: 0.000056  loss_ita: 1.6302  loss_itm: 0.0994  loss_lm: 1.5796  time: 0.7267  data: 0.0008  max mem: 36276
Train Epoch: [16] Total time: 1:19:31 (0.7356 s / it)
Averaged stats: lr: 0.0001  loss_ita: 1.3985  loss_itm: 0.0762  loss_lm: 1.4872
Train Epoch: [17]  [   0/6487]  eta: 7:28:40  lr: 0.000050  loss_ita: 1.5779  loss_itm: 0.0709  loss_lm: 1.4826  time: 4.1499  data: 2.7702  max mem: 36276
Train Epoch: [17]  [ 200/6487]  eta: 1:18:41  lr: 0.000050  loss_ita: 1.5177  loss_itm: 0.0681  loss_lm: 1.3910  time: 0.7351  data: 0.0001  max mem: 36276
Train Epoch: [17]  [ 400/6487]  eta: 1:15:18  lr: 0.000050  loss_ita: 1.4075  loss_itm: 0.0958  loss_lm: 1.5475  time: 0.7328  data: 0.0001  max mem: 36276
Train Epoch: [17]  [ 600/6487]  eta: 1:12:33  lr: 0.000050  loss_ita: 1.4362  loss_itm: 0.0796  loss_lm: 1.3806  time: 0.7329  data: 0.0001  max mem: 36276
Train Epoch: [17]  [ 800/6487]  eta: 1:09:57  lr: 0.000050  loss_ita: 1.7546  loss_itm: 0.0883  loss_lm: 1.5792  time: 0.7340  data: 0.0001  max mem: 36276
Train Epoch: [17]  [1000/6487]  eta: 1:07:25  lr: 0.000050  loss_ita: 1.3871  loss_itm: 0.0640  loss_lm: 1.4472  time: 0.7345  data: 0.0001  max mem: 36276
Train Epoch: [17]  [1200/6487]  eta: 1:04:54  lr: 0.000050  loss_ita: 1.2725  loss_itm: 0.0559  loss_lm: 1.5320  time: 0.7330  data: 0.0001  max mem: 36276
Train Epoch: [17]  [1400/6487]  eta: 1:02:25  lr: 0.000050  loss_ita: 1.5849  loss_itm: 0.0793  loss_lm: 1.4533  time: 0.7345  data: 0.0001  max mem: 36276
Train Epoch: [17]  [1600/6487]  eta: 0:59:57  lr: 0.000050  loss_ita: 1.0622  loss_itm: 0.0496  loss_lm: 1.3158  time: 0.7333  data: 0.0001  max mem: 36276
Train Epoch: [17]  [1800/6487]  eta: 0:57:28  lr: 0.000050  loss_ita: 1.3231  loss_itm: 0.0801  loss_lm: 1.3856  time: 0.7322  data: 0.0001  max mem: 36276
Train Epoch: [17]  [2000/6487]  eta: 0:55:00  lr: 0.000050  loss_ita: 1.4095  loss_itm: 0.0864  loss_lm: 1.5748  time: 0.7334  data: 0.0001  max mem: 36276
Train Epoch: [17]  [2200/6487]  eta: 0:52:32  lr: 0.000050  loss_ita: 1.3517  loss_itm: 0.0688  loss_lm: 1.5466  time: 0.7332  data: 0.0001  max mem: 36276
Train Epoch: [17]  [2400/6487]  eta: 0:50:05  lr: 0.000050  loss_ita: 1.4488  loss_itm: 0.0802  loss_lm: 1.3595  time: 0.7333  data: 0.0001  max mem: 36276
Train Epoch: [17]  [2600/6487]  eta: 0:47:37  lr: 0.000050  loss_ita: 1.1496  loss_itm: 0.0527  loss_lm: 1.4100  time: 0.7338  data: 0.0001  max mem: 36276
Train Epoch: [17]  [2800/6487]  eta: 0:45:10  lr: 0.000050  loss_ita: 1.4017  loss_itm: 0.0636  loss_lm: 1.6149  time: 0.7335  data: 0.0001  max mem: 36276
Train Epoch: [17]  [3000/6487]  eta: 0:42:42  lr: 0.000050  loss_ita: 1.4835  loss_itm: 0.0892  loss_lm: 1.5359  time: 0.7339  data: 0.0001  max mem: 36276
Train Epoch: [17]  [3200/6487]  eta: 0:40:15  lr: 0.000050  loss_ita: 1.6798  loss_itm: 0.0677  loss_lm: 1.5785  time: 0.7337  data: 0.0001  max mem: 36276
Train Epoch: [17]  [3400/6487]  eta: 0:37:48  lr: 0.000050  loss_ita: 1.0454  loss_itm: 0.0636  loss_lm: 1.4361  time: 0.7342  data: 0.0001  max mem: 36276
Train Epoch: [17]  [3600/6487]  eta: 0:35:21  lr: 0.000050  loss_ita: 0.9753  loss_itm: 0.0273  loss_lm: 1.4205  time: 0.7325  data: 0.0001  max mem: 36276
Train Epoch: [17]  [3800/6487]  eta: 0:32:54  lr: 0.000050  loss_ita: 1.3328  loss_itm: 0.0476  loss_lm: 1.5405  time: 0.7342  data: 0.0001  max mem: 36276
Train Epoch: [17]  [4000/6487]  eta: 0:30:27  lr: 0.000050  loss_ita: 1.6215  loss_itm: 0.0935  loss_lm: 1.4964  time: 0.7365  data: 0.0001  max mem: 36276
Train Epoch: [17]  [4200/6487]  eta: 0:28:00  lr: 0.000050  loss_ita: 1.1782  loss_itm: 0.0697  loss_lm: 1.6188  time: 0.7342  data: 0.0001  max mem: 36276
Train Epoch: [17]  [4400/6487]  eta: 0:25:33  lr: 0.000050  loss_ita: 1.6807  loss_itm: 0.0879  loss_lm: 1.5024  time: 0.7358  data: 0.0001  max mem: 36276
Train Epoch: [17]  [4600/6487]  eta: 0:23:06  lr: 0.000050  loss_ita: 1.7927  loss_itm: 0.0926  loss_lm: 1.4625  time: 0.7353  data: 0.0001  max mem: 36276
Train Epoch: [17]  [4800/6487]  eta: 0:20:39  lr: 0.000050  loss_ita: 1.4079  loss_itm: 0.0715  loss_lm: 1.4671  time: 0.7342  data: 0.0001  max mem: 36276
Train Epoch: [17]  [5000/6487]  eta: 0:18:12  lr: 0.000050  loss_ita: 1.7601  loss_itm: 0.0909  loss_lm: 1.4496  time: 0.7339  data: 0.0001  max mem: 36276
Train Epoch: [17]  [5200/6487]  eta: 0:15:45  lr: 0.000050  loss_ita: 1.1957  loss_itm: 0.0497  loss_lm: 1.4278  time: 0.7349  data: 0.0001  max mem: 36276
Train Epoch: [17]  [5400/6487]  eta: 0:13:18  lr: 0.000050  loss_ita: 1.0830  loss_itm: 0.0470  loss_lm: 1.5580  time: 0.7352  data: 0.0001  max mem: 36276
Train Epoch: [17]  [5600/6487]  eta: 0:10:51  lr: 0.000050  loss_ita: 1.2663  loss_itm: 0.0644  loss_lm: 1.7095  time: 0.7353  data: 0.0001  max mem: 36276
Train Epoch: [17]  [5800/6487]  eta: 0:08:24  lr: 0.000050  loss_ita: 1.3675  loss_itm: 0.0659  loss_lm: 1.4923  time: 0.7341  data: 0.0001  max mem: 36276
Train Epoch: [17]  [6000/6487]  eta: 0:05:57  lr: 0.000050  loss_ita: 1.1383  loss_itm: 0.0462  loss_lm: 1.4579  time: 0.7364  data: 0.0001  max mem: 36276
Train Epoch: [17]  [6200/6487]  eta: 0:03:30  lr: 0.000050  loss_ita: 1.3523  loss_itm: 0.0368  loss_lm: 1.5149  time: 0.7361  data: 0.0001  max mem: 36276
Train Epoch: [17]  [6400/6487]  eta: 0:01:03  lr: 0.000050  loss_ita: 1.4493  loss_itm: 0.1048  loss_lm: 1.7780  time: 0.7365  data: 0.0001  max mem: 36276
Train Epoch: [17]  [6486/6487]  eta: 0:00:00  lr: 0.000050  loss_ita: 1.2495  loss_itm: 0.0359  loss_lm: 1.4079  time: 0.7258  data: 0.0008  max mem: 36276
Train Epoch: [17] Total time: 1:19:27 (0.7349 s / it)
Averaged stats: lr: 0.0001  loss_ita: 1.3674  loss_itm: 0.0734  loss_lm: 1.4735
Train Epoch: [18]  [   0/6487]  eta: 7:21:03  lr: 0.000045  loss_ita: 1.4164  loss_itm: 0.0517  loss_lm: 1.4497  time: 4.0795  data: 2.7076  max mem: 36276
Train Epoch: [18]  [ 200/6487]  eta: 1:18:48  lr: 0.000045  loss_ita: 1.5692  loss_itm: 0.0945  loss_lm: 1.4159  time: 0.7353  data: 0.0001  max mem: 36276
Train Epoch: [18]  [ 400/6487]  eta: 1:15:24  lr: 0.000045  loss_ita: 1.7559  loss_itm: 0.1158  loss_lm: 1.5159  time: 0.7353  data: 0.0001  max mem: 36276
Train Epoch: [18]  [ 600/6487]  eta: 1:12:38  lr: 0.000045  loss_ita: 0.9623  loss_itm: 0.0339  loss_lm: 1.4252  time: 0.7343  data: 0.0001  max mem: 36276
Train Epoch: [18]  [ 800/6487]  eta: 1:10:02  lr: 0.000045  loss_ita: 1.3061  loss_itm: 0.0547  loss_lm: 1.4968  time: 0.7348  data: 0.0001  max mem: 36276
Train Epoch: [18]  [1000/6487]  eta: 1:07:29  lr: 0.000045  loss_ita: 1.0880  loss_itm: 0.0638  loss_lm: 1.6170  time: 0.7350  data: 0.0001  max mem: 36276
Train Epoch: [18]  [1200/6487]  eta: 1:04:59  lr: 0.000045  loss_ita: 1.2015  loss_itm: 0.0525  loss_lm: 1.5084  time: 0.7347  data: 0.0001  max mem: 36276
Train Epoch: [18]  [1400/6487]  eta: 1:02:28  lr: 0.000045  loss_ita: 1.3178  loss_itm: 0.0721  loss_lm: 1.5278  time: 0.7328  data: 0.0001  max mem: 36276
Train Epoch: [18]  [1600/6487]  eta: 0:59:59  lr: 0.000045  loss_ita: 1.1128  loss_itm: 0.0531  loss_lm: 1.3201  time: 0.7322  data: 0.0001  max mem: 36276
Train Epoch: [18]  [1800/6487]  eta: 0:57:30  lr: 0.000045  loss_ita: 1.2618  loss_itm: 0.0517  loss_lm: 1.6249  time: 0.7331  data: 0.0001  max mem: 36276
Train Epoch: [18]  [2000/6487]  eta: 0:55:02  lr: 0.000045  loss_ita: 1.0489  loss_itm: 0.0799  loss_lm: 1.5935  time: 0.7353  data: 0.0001  max mem: 36276
Train Epoch: [18]  [2200/6487]  eta: 0:52:34  lr: 0.000045  loss_ita: 1.7283  loss_itm: 0.0997  loss_lm: 1.4785  time: 0.7352  data: 0.0001  max mem: 36276
Train Epoch: [18]  [2400/6487]  eta: 0:50:06  lr: 0.000045  loss_ita: 1.1679  loss_itm: 0.0401  loss_lm: 1.3648  time: 0.7343  data: 0.0001  max mem: 36276
Train Epoch: [18]  [2600/6487]  eta: 0:47:39  lr: 0.000045  loss_ita: 1.0698  loss_itm: 0.0320  loss_lm: 1.3882  time: 0.7335  data: 0.0001  max mem: 36276
Train Epoch: [18]  [2800/6487]  eta: 0:45:11  lr: 0.000045  loss_ita: 1.5439  loss_itm: 0.0837  loss_lm: 1.4490  time: 0.7349  data: 0.0001  max mem: 36276
Train Epoch: [18]  [3000/6487]  eta: 0:42:44  lr: 0.000045  loss_ita: 1.4562  loss_itm: 0.1063  loss_lm: 1.4511  time: 0.7347  data: 0.0001  max mem: 36276
Train Epoch: [18]  [3200/6487]  eta: 0:40:16  lr: 0.000045  loss_ita: 1.0257  loss_itm: 0.0404  loss_lm: 1.3838  time: 0.7339  data: 0.0001  max mem: 36276
Train Epoch: [18]  [3400/6487]  eta: 0:37:49  lr: 0.000045  loss_ita: 0.9287  loss_itm: 0.0385  loss_lm: 1.3872  time: 0.7334  data: 0.0001  max mem: 36276
Train Epoch: [18]  [3600/6487]  eta: 0:35:22  lr: 0.000045  loss_ita: 1.1800  loss_itm: 0.0403  loss_lm: 1.4057  time: 0.7343  data: 0.0001  max mem: 36276
Train Epoch: [18]  [3800/6487]  eta: 0:32:55  lr: 0.000045  loss_ita: 1.1176  loss_itm: 0.0413  loss_lm: 1.3692  time: 0.7332  data: 0.0001  max mem: 36276
Train Epoch: [18]  [4000/6487]  eta: 0:30:28  lr: 0.000045  loss_ita: 1.1878  loss_itm: 0.0418  loss_lm: 1.4883  time: 0.7341  data: 0.0001  max mem: 36276
Train Epoch: [18]  [4200/6487]  eta: 0:28:00  lr: 0.000045  loss_ita: 1.5721  loss_itm: 0.0619  loss_lm: 1.4683  time: 0.7341  data: 0.0001  max mem: 36276
Train Epoch: [18]  [4400/6487]  eta: 0:25:33  lr: 0.000045  loss_ita: 1.4092  loss_itm: 0.0846  loss_lm: 1.3957  time: 0.7334  data: 0.0001  max mem: 36276
Train Epoch: [18]  [4600/6487]  eta: 0:23:06  lr: 0.000045  loss_ita: 1.5088  loss_itm: 0.0976  loss_lm: 1.5465  time: 0.7351  data: 0.0001  max mem: 36276
Train Epoch: [18]  [4800/6487]  eta: 0:20:39  lr: 0.000045  loss_ita: 1.5660  loss_itm: 0.0946  loss_lm: 1.4266  time: 0.7351  data: 0.0001  max mem: 36276
Train Epoch: [18]  [5000/6487]  eta: 0:18:12  lr: 0.000045  loss_ita: 1.8062  loss_itm: 0.1361  loss_lm: 1.4417  time: 0.7358  data: 0.0001  max mem: 36276
Train Epoch: [18]  [5200/6487]  eta: 0:15:45  lr: 0.000045  loss_ita: 1.3140  loss_itm: 0.1059  loss_lm: 1.4961  time: 0.7343  data: 0.0001  max mem: 36276
Train Epoch: [18]  [5400/6487]  eta: 0:13:18  lr: 0.000045  loss_ita: 1.4830  loss_itm: 0.0695  loss_lm: 1.6027  time: 0.7335  data: 0.0001  max mem: 36276
Train Epoch: [18]  [5600/6487]  eta: 0:10:51  lr: 0.000045  loss_ita: 1.1413  loss_itm: 0.0676  loss_lm: 1.2935  time: 0.7345  data: 0.0001  max mem: 36276
Train Epoch: [18]  [5800/6487]  eta: 0:08:24  lr: 0.000045  loss_ita: 1.5173  loss_itm: 0.0566  loss_lm: 1.5848  time: 0.7339  data: 0.0001  max mem: 36276
Train Epoch: [18]  [6000/6487]  eta: 0:05:57  lr: 0.000045  loss_ita: 1.4462  loss_itm: 0.1183  loss_lm: 1.2504  time: 0.7353  data: 0.0001  max mem: 36276
Train Epoch: [18]  [6200/6487]  eta: 0:03:30  lr: 0.000045  loss_ita: 1.1255  loss_itm: 0.0378  loss_lm: 1.4814  time: 0.7350  data: 0.0001  max mem: 36276
Train Epoch: [18]  [6400/6487]  eta: 0:01:03  lr: 0.000045  loss_ita: 1.2405  loss_itm: 0.0339  loss_lm: 1.3794  time: 0.7354  data: 0.0001  max mem: 36276
Train Epoch: [18]  [6486/6487]  eta: 0:00:00  lr: 0.000045  loss_ita: 1.5380  loss_itm: 0.1122  loss_lm: 1.5184  time: 0.7253  data: 0.0007  max mem: 36276
Train Epoch: [18] Total time: 1:19:28 (0.7351 s / it)
Averaged stats: lr: 0.0000  loss_ita: 1.3477  loss_itm: 0.0713  loss_lm: 1.4605
Train Epoch: [19]  [   0/6487]  eta: 7:37:07  lr: 0.000041  loss_ita: 1.7583  loss_itm: 0.1441  loss_lm: 1.6039  time: 4.2281  data: 2.8481  max mem: 36276
Train Epoch: [19]  [ 200/6487]  eta: 1:19:00  lr: 0.000041  loss_ita: 1.6189  loss_itm: 0.0822  loss_lm: 1.4086  time: 0.7363  data: 0.0001  max mem: 36276
Train Epoch: [19]  [ 400/6487]  eta: 1:15:34  lr: 0.000041  loss_ita: 1.3786  loss_itm: 0.0602  loss_lm: 1.3799  time: 0.7352  data: 0.0001  max mem: 36276
Train Epoch: [19]  [ 600/6487]  eta: 1:12:48  lr: 0.000041  loss_ita: 1.1621  loss_itm: 0.0735  loss_lm: 1.4416  time: 0.7363  data: 0.0001  max mem: 36276
Train Epoch: [19]  [ 800/6487]  eta: 1:10:11  lr: 0.000041  loss_ita: 1.8460  loss_itm: 0.1398  loss_lm: 1.4716  time: 0.7332  data: 0.0001  max mem: 36276
Train Epoch: [19]  [1000/6487]  eta: 1:07:36  lr: 0.000041  loss_ita: 1.2728  loss_itm: 0.0971  loss_lm: 1.4849  time: 0.7355  data: 0.0001  max mem: 36276
Train Epoch: [19]  [1200/6487]  eta: 1:05:04  lr: 0.000041  loss_ita: 1.3690  loss_itm: 0.0844  loss_lm: 1.6240  time: 0.7350  data: 0.0001  max mem: 36276
Train Epoch: [19]  [1400/6487]  eta: 1:02:34  lr: 0.000041  loss_ita: 1.3758  loss_itm: 0.1011  loss_lm: 1.7185  time: 0.7350  data: 0.0001  max mem: 36276
Train Epoch: [19]  [1600/6487]  eta: 1:00:04  lr: 0.000041  loss_ita: 1.3705  loss_itm: 0.0752  loss_lm: 1.5894  time: 0.7343  data: 0.0001  max mem: 36276
Train Epoch: [19]  [1800/6487]  eta: 0:57:35  lr: 0.000041  loss_ita: 1.4177  loss_itm: 0.0374  loss_lm: 1.4664  time: 0.7356  data: 0.0001  max mem: 36276
Train Epoch: [19]  [2000/6487]  eta: 0:55:06  lr: 0.000041  loss_ita: 1.1112  loss_itm: 0.0404  loss_lm: 1.4874  time: 0.7348  data: 0.0001  max mem: 36276
Train Epoch: [19]  [2200/6487]  eta: 0:52:38  lr: 0.000041  loss_ita: 1.3840  loss_itm: 0.0487  loss_lm: 1.4985  time: 0.7349  data: 0.0001  max mem: 36276
Train Epoch: [19]  [2400/6487]  eta: 0:50:10  lr: 0.000041  loss_ita: 1.3533  loss_itm: 0.0702  loss_lm: 1.3471  time: 0.7362  data: 0.0001  max mem: 36276
Train Epoch: [19]  [2600/6487]  eta: 0:47:42  lr: 0.000041  loss_ita: 1.4097  loss_itm: 0.1357  loss_lm: 1.5220  time: 0.7353  data: 0.0001  max mem: 36276
Train Epoch: [19]  [2800/6487]  eta: 0:45:15  lr: 0.000041  loss_ita: 1.1326  loss_itm: 0.0329  loss_lm: 1.3329  time: 0.7353  data: 0.0001  max mem: 36276
Train Epoch: [19]  [3000/6487]  eta: 0:42:47  lr: 0.000041  loss_ita: 1.3398  loss_itm: 0.0978  loss_lm: 1.4634  time: 0.7353  data: 0.0001  max mem: 36276
Train Epoch: [19]  [3200/6487]  eta: 0:40:20  lr: 0.000041  loss_ita: 1.3064  loss_itm: 0.1487  loss_lm: 1.4015  time: 0.7360  data: 0.0001  max mem: 36276
Train Epoch: [19]  [3400/6487]  eta: 0:37:52  lr: 0.000041  loss_ita: 0.8683  loss_itm: 0.0904  loss_lm: 1.4627  time: 0.7354  data: 0.0001  max mem: 36276
Train Epoch: [19]  [3600/6487]  eta: 0:35:25  lr: 0.000041  loss_ita: 0.8582  loss_itm: 0.1313  loss_lm: 1.4828  time: 0.7345  data: 0.0001  max mem: 36276
Train Epoch: [19]  [3800/6487]  eta: 0:32:58  lr: 0.000041  loss_ita: 0.9812  loss_itm: 0.0363  loss_lm: 1.4508  time: 0.7352  data: 0.0001  max mem: 36276
Train Epoch: [19]  [4000/6487]  eta: 0:30:30  lr: 0.000041  loss_ita: 1.2514  loss_itm: 0.0693  loss_lm: 1.5616  time: 0.7345  data: 0.0001  max mem: 36276
Train Epoch: [19]  [4200/6487]  eta: 0:28:03  lr: 0.000041  loss_ita: 1.2388  loss_itm: 0.0498  loss_lm: 1.4341  time: 0.7365  data: 0.0001  max mem: 36276
Train Epoch: [19]  [4400/6487]  eta: 0:25:36  lr: 0.000041  loss_ita: 1.4952  loss_itm: 0.0970  loss_lm: 1.3979  time: 0.7355  data: 0.0001  max mem: 36276
Train Epoch: [19]  [4600/6487]  eta: 0:23:09  lr: 0.000041  loss_ita: 1.2477  loss_itm: 0.0527  loss_lm: 1.4966  time: 0.7360  data: 0.0001  max mem: 36276
Train Epoch: [19]  [4800/6487]  eta: 0:20:41  lr: 0.000041  loss_ita: 1.6161  loss_itm: 0.1575  loss_lm: 1.3829  time: 0.7360  data: 0.0001  max mem: 36276
Train Epoch: [19]  [5000/6487]  eta: 0:18:14  lr: 0.000041  loss_ita: 1.5361  loss_itm: 0.0996  loss_lm: 1.1869  time: 0.7369  data: 0.0001  max mem: 36276
Train Epoch: [19]  [5200/6487]  eta: 0:15:47  lr: 0.000041  loss_ita: 1.3941  loss_itm: 0.0610  loss_lm: 1.5649  time: 0.7353  data: 0.0001  max mem: 36276
Train Epoch: [19]  [5400/6487]  eta: 0:13:20  lr: 0.000041  loss_ita: 1.4720  loss_itm: 0.0641  loss_lm: 1.3584  time: 0.7373  data: 0.0001  max mem: 36276
Train Epoch: [19]  [5600/6487]  eta: 0:10:52  lr: 0.000041  loss_ita: 1.2295  loss_itm: 0.0434  loss_lm: 1.5913  time: 0.7338  data: 0.0001  max mem: 36276
Train Epoch: [19]  [5800/6487]  eta: 0:08:25  lr: 0.000041  loss_ita: 1.4214  loss_itm: 0.1097  loss_lm: 1.5754  time: 0.7355  data: 0.0001  max mem: 36276
Train Epoch: [19]  [6000/6487]  eta: 0:05:58  lr: 0.000041  loss_ita: 1.3034  loss_itm: 0.0400  loss_lm: 1.4148  time: 0.7341  data: 0.0001  max mem: 36276
Train Epoch: [19]  [6200/6487]  eta: 0:03:31  lr: 0.000041  loss_ita: 1.2224  loss_itm: 0.0644  loss_lm: 1.4754  time: 0.7334  data: 0.0001  max mem: 36276
Train Epoch: [19]  [6400/6487]  eta: 0:01:04  lr: 0.000041  loss_ita: 1.4773  loss_itm: 0.0977  loss_lm: 1.6028  time: 0.7341  data: 0.0001  max mem: 36276
Train Epoch: [19]  [6486/6487]  eta: 0:00:00  lr: 0.000041  loss_ita: 1.4896  loss_itm: 0.0644  loss_lm: 1.3800  time: 0.7259  data: 0.0010  max mem: 36276
Train Epoch: [19] Total time: 1:19:34 (0.7361 s / it)
Averaged stats: lr: 0.0000  loss_ita: 1.3278  loss_itm: 0.0691  loss_lm: 1.4489
Training time 1 day, 2:32:57
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Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
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output dir is: output/Pretrain_concated_pred_4M