cityscapes.log

W0104 11:57:12.566669   440 device_context.cc:447] Please NOTE: device: 0, GPU Compute Capability: 7.0, Driver API Version: 10.1, Runtime API Version: 10.1
W0104 11:57:12.570772   440 device_context.cc:465] device: 0, cuDNN Version: 7.6.
total number of training samples: 22973
total number of training steps: 143600
total number of validation samples: 500
number of trainable parameters: 58452008
batch    100 | examples/s: 36.69 | loss: 1.08629 | time elapsed: 0.01h | time left: 15.26h
batch    200 | examples/s: 30.76 | loss: 0.69944 | time elapsed: 0.02h | time left: 15.28h
batch    300 | examples/s: 33.17 | loss: 0.62740 | time elapsed: 0.03h | time left: 15.23h
batch    400 | examples/s: 29.10 | loss: 0.62185 | time elapsed: 0.04h | time left: 15.23h
batch    500 | examples/s: 33.26 | loss: 0.58679 | time elapsed: 0.05h | time left: 15.18h
batch    600 | examples/s: 33.30 | loss: 0.57057 | time elapsed: 0.06h | time left: 15.14h
batch    700 | examples/s: 33.26 | loss: 0.56943 | time elapsed: 0.07h | time left: 15.11h
batch    800 | examples/s: 25.56 | loss: 0.56883 | time elapsed: 0.08h | time left: 15.07h
batch    900 | examples/s: 29.74 | loss: 0.55543 | time elapsed: 0.09h | time left: 15.02h
batch   1000 | examples/s: 32.88 | loss: 0.53964 | time elapsed: 0.11h | time left: 15.02h
batch   1100 | examples/s: 32.95 | loss: 0.53959 | time elapsed: 0.12h | time left: 14.97h
batch   1200 | examples/s: 33.11 | loss: 0.54282 | time elapsed: 0.13h | time left: 14.99h
batch   1300 | examples/s: 25.98 | loss: 0.52261 | time elapsed: 0.14h | time left: 14.97h
batch   1400 | examples/s: 33.20 | loss: 0.50885 | time elapsed: 0.15h | time left: 14.94h
batch   1500 | examples/s: 30.20 | loss: 0.51659 | time elapsed: 0.16h | time left: 14.94h
batch   1600 | examples/s: 28.70 | loss: 0.49046 | time elapsed: 0.17h | time left: 14.92h
batch   1700 | examples/s: 33.23 | loss: 0.48613 | time elapsed: 0.18h | time left: 14.93h
batch   1800 | examples/s: 29.98 | loss: 0.50449 | time elapsed: 0.19h | time left: 14.90h
batch   1900 | examples/s: 33.07 | loss: 0.50139 | time elapsed: 0.20h | time left: 14.87h
batch   2000 | examples/s: 33.27 | loss: 0.49141 | time elapsed: 0.21h | time left: 14.86h
batch   2100 | examples/s: 35.70 | loss: 0.48743 | time elapsed: 0.22h | time left: 14.84h
batch   2200 | examples/s: 28.77 | loss: 0.49270 | time elapsed: 0.23h | time left: 14.85h
batch   2300 | examples/s: 28.07 | loss: 0.46879 | time elapsed: 0.24h | time left: 14.82h
batch   2400 | examples/s: 29.04 | loss: 0.47072 | time elapsed: 0.25h | time left: 14.80h
batch   2500 | examples/s: 28.87 | loss: 0.48598 | time elapsed: 0.26h | time left: 14.81h
batch   2600 | examples/s: 34.59 | loss: 0.47984 | time elapsed: 0.27h | time left: 14.80h
batch   2700 | examples/s: 29.11 | loss: 0.46751 | time elapsed: 0.28h | time left: 14.79h
batch   2800 | examples/s: 28.87 | loss: 0.46778 | time elapsed: 0.29h | time left: 14.78h
epoch   0 | val loss: 0.48548 | time cost: 17.77 s |
batch   2900 | examples/s: 33.26 | loss: 0.46560 | time elapsed: 0.31h | time left: 15.04h
batch   3000 | examples/s: 20.41 | loss: 0.45270 | time elapsed: 0.32h | time left: 15.14h
batch   3100 | examples/s: 29.03 | loss: 0.45435 | time elapsed: 0.33h | time left: 15.16h
batch   3200 | examples/s: 7.63 | loss: 0.44062 | time elapsed: 0.35h | time left: 15.35h
batch   3300 | examples/s: 36.44 | loss: 0.45518 | time elapsed: 0.38h | time left: 16.34h
batch   3400 | examples/s: 29.86 | loss: 0.45894 | time elapsed: 0.39h | time left: 16.28h
batch   3500 | examples/s: 32.77 | loss: 0.45249 | time elapsed: 0.41h | time left: 16.24h
batch   3600 | examples/s: 30.08 | loss: 0.45758 | time elapsed: 0.42h | time left: 16.20h
batch   3700 | examples/s: 33.27 | loss: 0.44422 | time elapsed: 0.43h | time left: 16.17h
batch   3800 | examples/s: 32.93 | loss: 0.44314 | time elapsed: 0.44h | time left: 16.12h
batch   3900 | examples/s: 33.07 | loss: 0.43544 | time elapsed: 0.45h | time left: 16.09h
batch   4000 | examples/s: 33.17 | loss: 0.42853 | time elapsed: 0.46h | time left: 16.05h
batch   4100 | examples/s: 28.81 | loss: 0.44029 | time elapsed: 0.47h | time left: 16.01h
batch   4200 | examples/s: 28.94 | loss: 0.43835 | time elapsed: 0.48h | time left: 15.98h
batch   4300 | examples/s: 33.12 | loss: 0.44433 | time elapsed: 0.49h | time left: 15.95h
batch   4400 | examples/s: 33.28 | loss: 0.43577 | time elapsed: 0.50h | time left: 15.91h
batch   4500 | examples/s: 29.75 | loss: 0.43279 | time elapsed: 0.51h | time left: 15.89h
batch   4600 | examples/s: 38.62 | loss: 0.44388 | time elapsed: 0.52h | time left: 15.86h
batch   4700 | examples/s: 33.11 | loss: 0.42438 | time elapsed: 0.54h | time left: 15.83h
batch   4800 | examples/s: 33.13 | loss: 0.42601 | time elapsed: 0.55h | time left: 15.79h
batch   4900 | examples/s: 33.12 | loss: 0.42717 | time elapsed: 0.56h | time left: 15.77h
batch   5000 | examples/s: 32.82 | loss: 0.43070 | time elapsed: 0.57h | time left: 15.75h
batch   5100 | examples/s: 33.40 | loss: 0.43252 | time elapsed: 0.58h | time left: 15.71h
batch   5200 | examples/s: 34.21 | loss: 0.43782 | time elapsed: 0.59h | time left: 15.69h
batch   5300 | examples/s: 33.16 | loss: 0.42148 | time elapsed: 0.60h | time left: 15.67h
batch   5400 | examples/s: 33.10 | loss: 0.41785 | time elapsed: 0.61h | time left: 15.64h
batch   5500 | examples/s: 33.29 | loss: 0.41816 | time elapsed: 0.62h | time left: 15.62h
batch   5600 | examples/s: 29.84 | loss: 0.41658 | time elapsed: 0.63h | time left: 15.60h
batch   5700 | examples/s: 33.02 | loss: 0.41774 | time elapsed: 0.64h | time left: 15.58h
epoch   1 | val loss: 0.45036 | time cost: 18.45 s |
batch   5800 | examples/s: 29.84 | loss: 0.41758 | time elapsed: 0.66h | time left: 15.69h
batch   5900 | examples/s: 33.18 | loss: 0.41202 | time elapsed: 0.67h | time left: 15.66h
batch   6000 | examples/s: 27.27 | loss: 0.41065 | time elapsed: 0.68h | time left: 15.64h
batch   6100 | examples/s: 35.24 | loss: 0.42482 | time elapsed: 0.69h | time left: 15.62h
batch   6200 | examples/s: 27.53 | loss: 0.41016 | time elapsed: 0.70h | time left: 15.60h
batch   6300 | examples/s: 33.09 | loss: 0.42250 | time elapsed: 0.71h | time left: 15.58h
batch   6400 | examples/s: 26.45 | loss: 0.40730 | time elapsed: 0.73h | time left: 15.56h
batch   6500 | examples/s: 33.13 | loss: 0.41205 | time elapsed: 0.74h | time left: 15.53h
batch   6600 | examples/s: 27.48 | loss: 0.40688 | time elapsed: 0.75h | time left: 15.52h
batch   6700 | examples/s: 32.79 | loss: 0.41411 | time elapsed: 0.76h | time left: 15.49h
batch   6800 | examples/s: 32.66 | loss: 0.40754 | time elapsed: 0.77h | time left: 15.47h
batch   6900 | examples/s: 30.98 | loss: 0.40029 | time elapsed: 0.78h | time left: 15.46h
batch   7000 | examples/s: 29.47 | loss: 0.40262 | time elapsed: 0.79h | time left: 15.43h
batch   7100 | examples/s: 33.16 | loss: 0.40900 | time elapsed: 0.80h | time left: 15.42h
batch   7200 | examples/s: 33.16 | loss: 0.39803 | time elapsed: 0.81h | time left: 15.39h
batch   7300 | examples/s: 35.18 | loss: 0.39505 | time elapsed: 0.82h | time left: 15.38h
batch   7400 | examples/s: 29.86 | loss: 0.39664 | time elapsed: 0.83h | time left: 15.36h
batch   7500 | examples/s: 28.43 | loss: 0.40671 | time elapsed: 0.85h | time left: 15.34h
batch   7600 | examples/s: 33.05 | loss: 0.40452 | time elapsed: 0.86h | time left: 15.32h
batch   7700 | examples/s: 27.86 | loss: 0.39785 | time elapsed: 0.87h | time left: 15.30h
batch   7800 | examples/s: 28.93 | loss: 0.39866 | time elapsed: 0.88h | time left: 15.28h
batch   7900 | examples/s: 30.70 | loss: 0.40956 | time elapsed: 0.89h | time left: 15.26h
batch   8000 | examples/s: 28.01 | loss: 0.39764 | time elapsed: 0.90h | time left: 15.25h
batch   8100 | examples/s: 32.08 | loss: 0.40297 | time elapsed: 0.91h | time left: 15.23h
batch   8200 | examples/s: 22.47 | loss: 0.40489 | time elapsed: 0.92h | time left: 15.22h
batch   8300 | examples/s: 33.02 | loss: 0.40620 | time elapsed: 0.93h | time left: 15.20h
batch   8400 | examples/s: 31.14 | loss: 0.39138 | time elapsed: 0.94h | time left: 15.18h
batch   8500 | examples/s: 32.10 | loss: 0.39100 | time elapsed: 0.95h | time left: 15.16h
batch   8600 | examples/s: 28.32 | loss: 0.40119 | time elapsed: 0.97h | time left: 15.15h
epoch   2 | val loss: 0.44065 | time cost: 18.76 s |
batch   8700 | examples/s: 31.59 | loss: 0.38250 | time elapsed: 0.98h | time left: 15.22h
batch   8800 | examples/s: 33.30 | loss: 0.38879 | time elapsed: 0.99h | time left: 15.20h
batch   8900 | examples/s: 28.53 | loss: 0.37766 | time elapsed: 1.00h | time left: 15.18h
batch   9000 | examples/s: 33.36 | loss: 0.39226 | time elapsed: 1.01h | time left: 15.17h
batch   9100 | examples/s: 33.32 | loss: 0.39652 | time elapsed: 1.03h | time left: 15.15h
batch   9200 | examples/s: 33.17 | loss: 0.38954 | time elapsed: 1.04h | time left: 15.14h
batch   9300 | examples/s: 32.07 | loss: 0.39015 | time elapsed: 1.05h | time left: 15.12h
batch   9400 | examples/s: 28.51 | loss: 0.39485 | time elapsed: 1.06h | time left: 15.10h
batch   9500 | examples/s: 32.61 | loss: 0.38004 | time elapsed: 1.07h | time left: 15.08h
batch   9600 | examples/s: 32.68 | loss: 0.38820 | time elapsed: 1.08h | time left: 15.06h
batch   9700 | examples/s: 32.97 | loss: 0.37775 | time elapsed: 1.09h | time left: 15.05h
batch   9800 | examples/s: 33.11 | loss: 0.38772 | time elapsed: 1.10h | time left: 15.04h
batch   9900 | examples/s: 28.23 | loss: 0.38614 | time elapsed: 1.11h | time left: 15.02h
batch  10000 | examples/s: 30.18 | loss: 0.38043 | time elapsed: 1.12h | time left: 15.01h
batch  10100 | examples/s: 25.50 | loss: 0.38667 | time elapsed: 1.13h | time left: 14.99h
batch  10200 | examples/s: 33.06 | loss: 0.38405 | time elapsed: 1.15h | time left: 14.98h
batch  10300 | examples/s: 24.58 | loss: 0.38335 | time elapsed: 1.16h | time left: 14.96h
batch  10400 | examples/s: 33.02 | loss: 0.38377 | time elapsed: 1.17h | time left: 14.94h
batch  10500 | examples/s: 31.90 | loss: 0.37518 | time elapsed: 1.18h | time left: 14.93h
batch  10600 | examples/s: 33.06 | loss: 0.38552 | time elapsed: 1.19h | time left: 14.92h
batch  10700 | examples/s: 29.64 | loss: 0.38368 | time elapsed: 1.20h | time left: 14.90h
batch  10800 | examples/s: 28.34 | loss: 0.38274 | time elapsed: 1.21h | time left: 14.88h
batch  10900 | examples/s: 36.02 | loss: 0.38288 | time elapsed: 1.22h | time left: 14.87h
batch  11000 | examples/s: 33.10 | loss: 0.37522 | time elapsed: 1.23h | time left: 14.86h
batch  11100 | examples/s: 33.13 | loss: 0.38030 | time elapsed: 1.24h | time left: 14.84h
batch  11200 | examples/s: 34.58 | loss: 0.38834 | time elapsed: 1.25h | time left: 14.83h
batch  11300 | examples/s: 33.00 | loss: 0.37927 | time elapsed: 1.27h | time left: 14.81h
batch  11400 | examples/s: 27.79 | loss: 0.38252 | time elapsed: 1.28h | time left: 14.80h
epoch   3 | val loss: 0.41345 | time cost: 18.79 s |
batch  11500 | examples/s: 25.44 | loss: 0.38957 | time elapsed: 1.29h | time left: 14.85h
batch  11600 | examples/s: 30.46 | loss: 0.36859 | time elapsed: 1.30h | time left: 14.83h
batch  11700 | examples/s: 22.56 | loss: 0.37906 | time elapsed: 1.31h | time left: 14.82h
batch  11800 | examples/s: 33.19 | loss: 0.37377 | time elapsed: 1.33h | time left: 14.80h
batch  11900 | examples/s: 33.09 | loss: 0.36831 | time elapsed: 1.34h | time left: 14.79h
batch  12000 | examples/s: 33.32 | loss: 0.37919 | time elapsed: 1.35h | time left: 14.77h
batch  12100 | examples/s: 29.09 | loss: 0.36885 | time elapsed: 1.36h | time left: 14.76h
batch  12200 | examples/s: 33.20 | loss: 0.36990 | time elapsed: 1.37h | time left: 14.75h
batch  12300 | examples/s: 33.32 | loss: 0.37784 | time elapsed: 1.38h | time left: 14.73h
batch  12400 | examples/s: 33.16 | loss: 0.37510 | time elapsed: 1.39h | time left: 14.72h
batch  12500 | examples/s: 28.76 | loss: 0.36635 | time elapsed: 1.40h | time left: 14.70h
batch  12600 | examples/s: 28.97 | loss: 0.36973 | time elapsed: 1.41h | time left: 14.69h
batch  12700 | examples/s: 33.24 | loss: 0.37833 | time elapsed: 1.42h | time left: 14.67h
batch  12800 | examples/s: 36.03 | loss: 0.38069 | time elapsed: 1.43h | time left: 14.66h
batch  12900 | examples/s: 28.37 | loss: 0.37101 | time elapsed: 1.45h | time left: 14.64h
batch  13000 | examples/s: 28.83 | loss: 0.36673 | time elapsed: 1.46h | time left: 14.63h
batch  13100 | examples/s: 33.29 | loss: 0.37386 | time elapsed: 1.47h | time left: 14.61h
batch  13200 | examples/s: 28.25 | loss: 0.36576 | time elapsed: 1.48h | time left: 14.60h
batch  13300 | examples/s: 27.20 | loss: 0.36015 | time elapsed: 1.49h | time left: 14.58h
batch  13400 | examples/s: 28.24 | loss: 0.37356 | time elapsed: 1.50h | time left: 14.57h
batch  13500 | examples/s: 32.17 | loss: 0.36194 | time elapsed: 1.51h | time left: 14.56h
batch  13600 | examples/s: 30.94 | loss: 0.36082 | time elapsed: 1.52h | time left: 14.54h
batch  13700 | examples/s: 26.42 | loss: 0.36898 | time elapsed: 1.53h | time left: 14.53h
batch  13800 | examples/s: 29.32 | loss: 0.36347 | time elapsed: 1.54h | time left: 14.52h
batch  13900 | examples/s: 28.66 | loss: 0.36544 | time elapsed: 1.55h | time left: 14.50h
batch  14000 | examples/s: 41.14 | loss: 0.37694 | time elapsed: 1.57h | time left: 14.49h
batch  14100 | examples/s: 28.21 | loss: 0.36848 | time elapsed: 1.58h | time left: 14.47h
batch  14200 | examples/s: 33.06 | loss: 0.37681 | time elapsed: 1.59h | time left: 14.46h
batch  14300 | examples/s: 29.56 | loss: 0.36907 | time elapsed: 1.60h | time left: 14.45h
epoch   4 | val loss: 0.39273 | time cost: 18.43 s |
batch  14400 | examples/s: 33.16 | loss: 0.35613 | time elapsed: 1.61h | time left: 14.49h
batch  14500 | examples/s: 33.16 | loss: 0.35590 | time elapsed: 1.63h | time left: 14.47h
batch  14600 | examples/s: 29.01 | loss: 0.35621 | time elapsed: 1.64h | time left: 14.46h
batch  14700 | examples/s: 33.04 | loss: 0.35810 | time elapsed: 1.65h | time left: 14.44h
batch  14800 | examples/s: 34.57 | loss: 0.35935 | time elapsed: 1.66h | time left: 14.43h
batch  14900 | examples/s: 36.05 | loss: 0.35737 | time elapsed: 1.67h | time left: 14.41h
batch  15000 | examples/s: 28.64 | loss: 0.35765 | time elapsed: 1.68h | time left: 14.40h
batch  15100 | examples/s: 34.44 | loss: 0.36298 | time elapsed: 1.69h | time left: 14.39h
batch  15200 | examples/s: 23.54 | loss: 0.36442 | time elapsed: 1.70h | time left: 14.37h
batch  15300 | examples/s: 34.50 | loss: 0.35601 | time elapsed: 1.71h | time left: 14.36h
batch  15400 | examples/s: 29.81 | loss: 0.35753 | time elapsed: 1.72h | time left: 14.35h
batch  15500 | examples/s: 28.33 | loss: 0.35455 | time elapsed: 1.73h | time left: 14.33h
batch  15600 | examples/s: 32.86 | loss: 0.36033 | time elapsed: 1.75h | time left: 14.32h
batch  15700 | examples/s: 33.82 | loss: 0.35783 | time elapsed: 1.76h | time left: 14.31h
batch  15800 | examples/s: 30.23 | loss: 0.35616 | time elapsed: 1.77h | time left: 14.29h
batch  15900 | examples/s: 29.85 | loss: 0.36080 | time elapsed: 1.78h | time left: 14.28h
batch  16000 | examples/s: 29.64 | loss: 0.35261 | time elapsed: 1.79h | time left: 14.26h
batch  16100 | examples/s: 30.39 | loss: 0.35962 | time elapsed: 1.80h | time left: 14.25h
batch  16200 | examples/s: 28.76 | loss: 0.35823 | time elapsed: 1.81h | time left: 14.24h
batch  16300 | examples/s: 33.16 | loss: 0.35944 | time elapsed: 1.82h | time left: 14.22h
batch  16400 | examples/s: 30.88 | loss: 0.35406 | time elapsed: 1.83h | time left: 14.21h
batch  16500 | examples/s: 32.86 | loss: 0.34920 | time elapsed: 1.84h | time left: 14.20h
batch  16600 | examples/s: 26.07 | loss: 0.35436 | time elapsed: 1.85h | time left: 14.18h
batch  16700 | examples/s: 32.98 | loss: 0.36069 | time elapsed: 1.86h | time left: 14.17h
batch  16800 | examples/s: 33.26 | loss: 0.36159 | time elapsed: 1.88h | time left: 14.16h
batch  16900 | examples/s: 29.13 | loss: 0.35802 | time elapsed: 1.89h | time left: 14.14h
batch  17000 | examples/s: 19.77 | loss: 0.34847 | time elapsed: 1.90h | time left: 14.13h
batch  17100 | examples/s: 28.00 | loss: 0.35021 | time elapsed: 1.91h | time left: 14.12h
batch  17200 | examples/s: 32.55 | loss: 0.35154 | time elapsed: 1.92h | time left: 14.10h
epoch   5 | val loss: 0.38868 | time cost: 19.36 s |
batch  17300 | examples/s: 35.77 | loss: 0.35839 | time elapsed: 1.94h | time left: 14.13h
batch  17400 | examples/s: 33.27 | loss: 0.35138 | time elapsed: 1.95h | time left: 14.12h
batch  17500 | examples/s: 25.05 | loss: 0.34510 | time elapsed: 1.96h | time left: 14.11h
batch  17600 | examples/s: 25.70 | loss: 0.34648 | time elapsed: 1.97h | time left: 14.09h
batch  17700 | examples/s: 32.97 | loss: 0.35044 | time elapsed: 1.98h | time left: 14.08h
batch  17800 | examples/s: 33.09 | loss: 0.36182 | time elapsed: 1.99h | time left: 14.07h
batch  17900 | examples/s: 33.01 | loss: 0.35352 | time elapsed: 2.00h | time left: 14.05h
batch  18000 | examples/s: 33.08 | loss: 0.34784 | time elapsed: 2.01h | time left: 14.04h
batch  18100 | examples/s: 30.01 | loss: 0.34680 | time elapsed: 2.02h | time left: 14.03h
batch  18200 | examples/s: 29.06 | loss: 0.35388 | time elapsed: 2.03h | time left: 14.02h
batch  18300 | examples/s: 28.39 | loss: 0.34430 | time elapsed: 2.05h | time left: 14.00h
batch  18400 | examples/s: 35.70 | loss: 0.33421 | time elapsed: 2.06h | time left: 13.99h
batch  18500 | examples/s: 26.30 | loss: 0.34303 | time elapsed: 2.07h | time left: 13.98h
batch  18600 | examples/s: 25.84 | loss: 0.34787 | time elapsed: 2.08h | time left: 13.97h
batch  18700 | examples/s: 28.90 | loss: 0.34501 | time elapsed: 2.09h | time left: 13.95h
batch  18800 | examples/s: 32.74 | loss: 0.34670 | time elapsed: 2.10h | time left: 13.94h
batch  18900 | examples/s: 32.93 | loss: 0.35219 | time elapsed: 2.11h | time left: 13.93h
batch  19000 | examples/s: 33.30 | loss: 0.34894 | time elapsed: 2.12h | time left: 13.91h
batch  19100 | examples/s: 33.09 | loss: 0.34122 | time elapsed: 2.13h | time left: 13.90h
batch  19200 | examples/s: 33.00 | loss: 0.34300 | time elapsed: 2.14h | time left: 13.88h
batch  19300 | examples/s: 27.64 | loss: 0.34389 | time elapsed: 2.15h | time left: 13.87h
batch  19400 | examples/s: 28.73 | loss: 0.34356 | time elapsed: 2.16h | time left: 13.86h
batch  19500 | examples/s: 33.18 | loss: 0.35021 | time elapsed: 2.18h | time left: 13.85h
batch  19600 | examples/s: 29.58 | loss: 0.35468 | time elapsed: 2.19h | time left: 13.83h
batch  19700 | examples/s: 33.20 | loss: 0.34811 | time elapsed: 2.20h | time left: 13.82h
batch  19800 | examples/s: 20.97 | loss: 0.34391 | time elapsed: 2.21h | time left: 13.81h
batch  19900 | examples/s: 28.94 | loss: 0.34756 | time elapsed: 2.22h | time left: 13.80h
batch  20000 | examples/s: 33.39 | loss: 0.34646 | time elapsed: 2.23h | time left: 13.78h
batch  20100 | examples/s: 42.43 | loss: 0.34569 | time elapsed: 2.24h | time left: 13.77h
epoch   6 | val loss: 0.37890 | time cost: 19.24 s |
batch  20200 | examples/s: 33.14 | loss: 0.33813 | time elapsed: 2.26h | time left: 13.79h
batch  20300 | examples/s: 33.08 | loss: 0.33922 | time elapsed: 2.27h | time left: 13.78h
batch  20400 | examples/s: 33.02 | loss: 0.33560 | time elapsed: 2.28h | time left: 13.77h
batch  20500 | examples/s: 34.35 | loss: 0.34455 | time elapsed: 2.29h | time left: 13.76h
batch  20600 | examples/s: 33.11 | loss: 0.33865 | time elapsed: 2.30h | time left: 13.74h
batch  20700 | examples/s: 24.97 | loss: 0.33852 | time elapsed: 2.31h | time left: 13.73h
batch  20800 | examples/s: 25.01 | loss: 0.34267 | time elapsed: 2.32h | time left: 13.72h
batch  20900 | examples/s: 34.63 | loss: 0.33679 | time elapsed: 2.33h | time left: 13.70h
batch  21000 | examples/s: 28.61 | loss: 0.34506 | time elapsed: 2.34h | time left: 13.69h
batch  21100 | examples/s: 30.06 | loss: 0.34412 | time elapsed: 2.36h | time left: 13.68h
batch  21200 | examples/s: 34.39 | loss: 0.33354 | time elapsed: 2.37h | time left: 13.67h
batch  21300 | examples/s: 33.12 | loss: 0.33413 | time elapsed: 2.38h | time left: 13.65h
batch  21400 | examples/s: 33.00 | loss: 0.34565 | time elapsed: 2.39h | time left: 13.64h
batch  21500 | examples/s: 29.97 | loss: 0.34212 | time elapsed: 2.40h | time left: 13.63h
batch  21600 | examples/s: 28.54 | loss: 0.33905 | time elapsed: 2.41h | time left: 13.61h
batch  21700 | examples/s: 28.54 | loss: 0.33238 | time elapsed: 2.42h | time left: 13.60h
batch  21800 | examples/s: 33.05 | loss: 0.34185 | time elapsed: 2.43h | time left: 13.59h
batch  21900 | examples/s: 29.28 | loss: 0.34248 | time elapsed: 2.44h | time left: 13.58h
batch  22000 | examples/s: 18.57 | loss: 0.33899 | time elapsed: 2.45h | time left: 13.57h
batch  22100 | examples/s: 27.24 | loss: 0.32870 | time elapsed: 2.47h | time left: 13.55h
batch  22200 | examples/s: 32.89 | loss: 0.33280 | time elapsed: 2.48h | time left: 13.54h
batch  22300 | examples/s: 32.98 | loss: 0.34869 | time elapsed: 2.49h | time left: 13.53h
batch  22400 | examples/s: 33.09 | loss: 0.34825 | time elapsed: 2.50h | time left: 13.52h
batch  22500 | examples/s: 30.05 | loss: 0.33252 | time elapsed: 2.51h | time left: 13.51h
batch  22600 | examples/s: 27.78 | loss: 0.33572 | time elapsed: 2.52h | time left: 13.50h
batch  22700 | examples/s: 29.17 | loss: 0.33421 | time elapsed: 2.53h | time left: 13.48h
batch  22800 | examples/s: 28.64 | loss: 0.33159 | time elapsed: 2.54h | time left: 13.47h
batch  22900 | examples/s: 28.68 | loss: 0.34048 | time elapsed: 2.55h | time left: 13.46h
epoch   7 | val loss: 0.37208 | time cost: 18.50 s |
batch  23000 | examples/s: 33.25 | loss: 0.33289 | time elapsed: 2.57h | time left: 13.48h
batch  23100 | examples/s: 33.11 | loss: 0.34299 | time elapsed: 2.58h | time left: 13.46h
batch  23200 | examples/s: 29.58 | loss: 0.33460 | time elapsed: 2.59h | time left: 13.45h
batch  23300 | examples/s: 35.06 | loss: 0.33855 | time elapsed: 2.60h | time left: 13.44h
batch  23400 | examples/s: 28.07 | loss: 0.33489 | time elapsed: 2.61h | time left: 13.43h
batch  23500 | examples/s: 33.01 | loss: 0.33438 | time elapsed: 2.62h | time left: 13.41h
batch  23600 | examples/s: 28.19 | loss: 0.34182 | time elapsed: 2.64h | time left: 13.40h
batch  23700 | examples/s: 33.05 | loss: 0.32870 | time elapsed: 2.65h | time left: 13.39h
batch  23800 | examples/s: 32.70 | loss: 0.32981 | time elapsed: 2.66h | time left: 13.38h
batch  23900 | examples/s: 28.25 | loss: 0.33519 | time elapsed: 2.67h | time left: 13.36h
batch  24000 | examples/s: 27.66 | loss: 0.33309 | time elapsed: 2.68h | time left: 13.35h
batch  24100 | examples/s: 27.31 | loss: 0.34090 | time elapsed: 2.69h | time left: 13.34h
batch  24200 | examples/s: 33.20 | loss: 0.32751 | time elapsed: 2.70h | time left: 13.33h
batch  24300 | examples/s: 28.18 | loss: 0.32874 | time elapsed: 2.71h | time left: 13.32h
batch  24400 | examples/s: 27.91 | loss: 0.32574 | time elapsed: 2.72h | time left: 13.30h
batch  24500 | examples/s: 32.99 | loss: 0.32827 | time elapsed: 2.73h | time left: 13.29h
batch  24600 | examples/s: 33.23 | loss: 0.32696 | time elapsed: 2.75h | time left: 13.28h
batch  24700 | examples/s: 33.05 | loss: 0.33660 | time elapsed: 2.76h | time left: 13.27h
batch  24800 | examples/s: 33.46 | loss: 0.32300 | time elapsed: 2.77h | time left: 13.26h
batch  24900 | examples/s: 36.12 | loss: 0.33259 | time elapsed: 2.78h | time left: 13.24h
batch  25000 | examples/s: 33.04 | loss: 0.33020 | time elapsed: 2.79h | time left: 13.23h
batch  25100 | examples/s: 33.06 | loss: 0.33099 | time elapsed: 2.80h | time left: 13.22h
batch  25200 | examples/s: 32.97 | loss: 0.33177 | time elapsed: 2.81h | time left: 13.21h
batch  25300 | examples/s: 28.10 | loss: 0.33369 | time elapsed: 2.82h | time left: 13.19h
batch  25400 | examples/s: 33.10 | loss: 0.32702 | time elapsed: 2.83h | time left: 13.18h
batch  25500 | examples/s: 32.86 | loss: 0.33569 | time elapsed: 2.84h | time left: 13.17h
batch  25600 | examples/s: 33.05 | loss: 0.33269 | time elapsed: 2.85h | time left: 13.16h
batch  25700 | examples/s: 37.63 | loss: 0.32848 | time elapsed: 2.87h | time left: 13.14h
batch  25800 | examples/s: 33.06 | loss: 0.33296 | time elapsed: 2.88h | time left: 13.13h
epoch   8 | val loss: 0.36809 | time cost: 18.59 s |
batch  25900 | examples/s: 31.52 | loss: 0.32125 | time elapsed: 2.89h | time left: 13.15h
batch  26000 | examples/s: 33.19 | loss: 0.32539 | time elapsed: 2.90h | time left: 13.14h
batch  26100 | examples/s: 33.07 | loss: 0.32893 | time elapsed: 2.91h | time left: 13.12h
batch  26200 | examples/s: 33.07 | loss: 0.32664 | time elapsed: 2.93h | time left: 13.11h
batch  26300 | examples/s: 33.12 | loss: 0.33713 | time elapsed: 2.94h | time left: 13.10h
batch  26400 | examples/s: 33.09 | loss: 0.32058 | time elapsed: 2.95h | time left: 13.09h
batch  26500 | examples/s: 33.10 | loss: 0.32602 | time elapsed: 2.96h | time left: 13.07h
batch  26600 | examples/s: 29.51 | loss: 0.32805 | time elapsed: 2.97h | time left: 13.06h
batch  26700 | examples/s: 27.87 | loss: 0.31650 | time elapsed: 2.98h | time left: 13.05h
batch  26800 | examples/s: 28.49 | loss: 0.32423 | time elapsed: 2.99h | time left: 13.04h
batch  26900 | examples/s: 33.11 | loss: 0.32111 | time elapsed: 3.00h | time left: 13.03h
batch  27000 | examples/s: 34.33 | loss: 0.32334 | time elapsed: 3.01h | time left: 13.01h
batch  27100 | examples/s: 33.10 | loss: 0.32441 | time elapsed: 3.02h | time left: 13.00h
batch  27200 | examples/s: 27.90 | loss: 0.32876 | time elapsed: 3.04h | time left: 12.99h
batch  27300 | examples/s: 28.40 | loss: 0.32241 | time elapsed: 3.05h | time left: 12.98h
batch  27400 | examples/s: 34.11 | loss: 0.32343 | time elapsed: 3.06h | time left: 12.97h
batch  27500 | examples/s: 33.20 | loss: 0.31725 | time elapsed: 3.07h | time left: 12.95h
batch  27600 | examples/s: 28.33 | loss: 0.32338 | time elapsed: 3.08h | time left: 12.94h
batch  27700 | examples/s: 28.68 | loss: 0.32969 | time elapsed: 3.09h | time left: 12.93h
batch  27800 | examples/s: 33.18 | loss: 0.31619 | time elapsed: 3.10h | time left: 12.92h
batch  27900 | examples/s: 32.95 | loss: 0.32484 | time elapsed: 3.11h | time left: 12.91h
batch  28000 | examples/s: 26.50 | loss: 0.32881 | time elapsed: 3.12h | time left: 12.89h
batch  28100 | examples/s: 33.21 | loss: 0.32148 | time elapsed: 3.13h | time left: 12.88h
batch  28200 | examples/s: 28.67 | loss: 0.32332 | time elapsed: 3.14h | time left: 12.87h
batch  28300 | examples/s: 32.92 | loss: 0.32650 | time elapsed: 3.16h | time left: 12.86h
batch  28400 | examples/s: 31.46 | loss: 0.32812 | time elapsed: 3.17h | time left: 12.85h
batch  28500 | examples/s: 33.24 | loss: 0.31495 | time elapsed: 3.18h | time left: 12.83h
batch  28600 | examples/s: 27.94 | loss: 0.32873 | time elapsed: 3.19h | time left: 12.82h
batch  28700 | examples/s: 33.01 | loss: 0.32726 | time elapsed: 3.20h | time left: 12.81h
epoch   9 | val loss: 0.36295 | time cost: 19.35 s |
batch  28800 | examples/s: 33.25 | loss: 0.30678 | time elapsed: 3.22h | time left: 12.82h
batch  28900 | examples/s: 29.23 | loss: 0.32027 | time elapsed: 3.23h | time left: 12.81h
batch  29000 | examples/s: 28.49 | loss: 0.32174 | time elapsed: 3.24h | time left: 12.80h
batch  29100 | examples/s: 26.54 | loss: 0.31836 | time elapsed: 3.25h | time left: 12.78h
batch  29200 | examples/s: 29.28 | loss: 0.31853 | time elapsed: 3.26h | time left: 12.77h
batch  29300 | examples/s: 30.38 | loss: 0.32681 | time elapsed: 3.27h | time left: 12.76h
batch  29400 | examples/s: 33.70 | loss: 0.32073 | time elapsed: 3.28h | time left: 12.75h
batch  29500 | examples/s: 28.03 | loss: 0.31811 | time elapsed: 3.29h | time left: 12.74h
batch  29600 | examples/s: 26.30 | loss: 0.32215 | time elapsed: 3.30h | time left: 12.72h
batch  29700 | examples/s: 33.06 | loss: 0.31683 | time elapsed: 3.31h | time left: 12.71h
batch  29800 | examples/s: 23.42 | loss: 0.31750 | time elapsed: 3.33h | time left: 12.70h
batch  29900 | examples/s: 34.64 | loss: 0.31412 | time elapsed: 3.34h | time left: 12.69h
batch  30000 | examples/s: 27.27 | loss: 0.32495 | time elapsed: 3.35h | time left: 12.68h
batch  30100 | examples/s: 32.43 | loss: 0.32165 | time elapsed: 3.36h | time left: 12.66h
batch  30200 | examples/s: 33.07 | loss: 0.32161 | time elapsed: 3.37h | time left: 12.65h
batch  30300 | examples/s: 33.14 | loss: 0.32712 | time elapsed: 3.38h | time left: 12.64h
batch  30400 | examples/s: 33.29 | loss: 0.32250 | time elapsed: 3.39h | time left: 12.63h
batch  30500 | examples/s: 23.26 | loss: 0.32319 | time elapsed: 3.40h | time left: 12.62h
batch  30600 | examples/s: 23.72 | loss: 0.31322 | time elapsed: 3.41h | time left: 12.60h
batch  30700 | examples/s: 31.13 | loss: 0.32485 | time elapsed: 3.42h | time left: 12.59h
batch  30800 | examples/s: 33.11 | loss: 0.31656 | time elapsed: 3.43h | time left: 12.58h
batch  30900 | examples/s: 32.99 | loss: 0.32075 | time elapsed: 3.45h | time left: 12.57h
batch  31000 | examples/s: 33.10 | loss: 0.31652 | time elapsed: 3.46h | time left: 12.55h
batch  31100 | examples/s: 35.29 | loss: 0.32272 | time elapsed: 3.47h | time left: 12.54h
batch  31200 | examples/s: 27.26 | loss: 0.31545 | time elapsed: 3.48h | time left: 12.53h
batch  31300 | examples/s: 35.15 | loss: 0.31391 | time elapsed: 3.49h | time left: 12.52h
batch  31400 | examples/s: 38.03 | loss: 0.32131 | time elapsed: 3.50h | time left: 12.51h
batch  31500 | examples/s: 29.21 | loss: 0.31481 | time elapsed: 3.51h | time left: 12.50h
epoch  10 | val loss: 0.36056 | time cost: 19.44 s |
batch  31600 | examples/s: 33.05 | loss: 0.31875 | time elapsed: 3.53h | time left: 12.50h
batch  31700 | examples/s: 29.16 | loss: 0.31057 | time elapsed: 3.54h | time left: 12.49h
batch  31800 | examples/s: 19.47 | loss: 0.30788 | time elapsed: 3.55h | time left: 12.48h
batch  31900 | examples/s: 29.56 | loss: 0.30753 | time elapsed: 3.56h | time left: 12.47h
batch  32000 | examples/s: 30.61 | loss: 0.30972 | time elapsed: 3.57h | time left: 12.46h
batch  32100 | examples/s: 28.45 | loss: 0.31310 | time elapsed: 3.58h | time left: 12.44h
batch  32200 | examples/s: 34.39 | loss: 0.31137 | time elapsed: 3.59h | time left: 12.43h
batch  32300 | examples/s: 28.90 | loss: 0.30877 | time elapsed: 3.60h | time left: 12.42h
batch  32400 | examples/s: 30.10 | loss: 0.31394 | time elapsed: 3.62h | time left: 12.41h
batch  32500 | examples/s: 27.67 | loss: 0.31765 | time elapsed: 3.63h | time left: 12.40h
batch  32600 | examples/s: 32.86 | loss: 0.31430 | time elapsed: 3.64h | time left: 12.38h
batch  32700 | examples/s: 32.91 | loss: 0.31417 | time elapsed: 3.65h | time left: 12.37h
batch  32800 | examples/s: 33.06 | loss: 0.30995 | time elapsed: 3.66h | time left: 12.36h
batch  32900 | examples/s: 32.87 | loss: 0.31824 | time elapsed: 3.67h | time left: 12.35h
batch  33000 | examples/s: 30.32 | loss: 0.31482 | time elapsed: 3.68h | time left: 12.34h
batch  33100 | examples/s: 26.42 | loss: 0.32068 | time elapsed: 3.69h | time left: 12.33h
batch  33200 | examples/s: 32.90 | loss: 0.31852 | time elapsed: 3.70h | time left: 12.31h
batch  33300 | examples/s: 29.41 | loss: 0.31053 | time elapsed: 3.71h | time left: 12.30h
batch  33400 | examples/s: 33.16 | loss: 0.32151 | time elapsed: 3.73h | time left: 12.29h
batch  33500 | examples/s: 29.07 | loss: 0.31407 | time elapsed: 3.74h | time left: 12.28h
batch  33600 | examples/s: 33.32 | loss: 0.31177 | time elapsed: 3.75h | time left: 12.27h
batch  33700 | examples/s: 32.92 | loss: 0.31485 | time elapsed: 3.76h | time left: 12.26h
batch  33800 | examples/s: 33.16 | loss: 0.31290 | time elapsed: 3.77h | time left: 12.24h
batch  33900 | examples/s: 31.65 | loss: 0.31065 | time elapsed: 3.78h | time left: 12.23h
batch  34000 | examples/s: 29.60 | loss: 0.31943 | time elapsed: 3.79h | time left: 12.22h
batch  34100 | examples/s: 35.25 | loss: 0.31127 | time elapsed: 3.80h | time left: 12.21h
batch  34200 | examples/s: 33.00 | loss: 0.31183 | time elapsed: 3.81h | time left: 12.20h
batch  34300 | examples/s: 31.40 | loss: 0.30774 | time elapsed: 3.82h | time left: 12.19h
batch  34400 | examples/s: 22.30 | loss: 0.31408 | time elapsed: 3.83h | time left: 12.17h
epoch  11 | val loss: 0.35490 | time cost: 19.54 s |
batch  34500 | examples/s: 33.11 | loss: 0.30475 | time elapsed: 3.85h | time left: 12.18h
batch  34600 | examples/s: 35.75 | loss: 0.30937 | time elapsed: 3.86h | time left: 12.17h
batch  34700 | examples/s: 28.53 | loss: 0.30473 | time elapsed: 3.87h | time left: 12.16h
batch  34800 | examples/s: 33.03 | loss: 0.30677 | time elapsed: 3.88h | time left: 12.14h
batch  34900 | examples/s: 33.89 | loss: 0.30893 | time elapsed: 3.90h | time left: 12.13h
batch  35000 | examples/s: 24.54 | loss: 0.31388 | time elapsed: 3.91h | time left: 12.12h
batch  35100 | examples/s: 33.27 | loss: 0.29743 | time elapsed: 3.92h | time left: 12.11h
batch  35200 | examples/s: 29.16 | loss: 0.29871 | time elapsed: 3.93h | time left: 12.10h
batch  35300 | examples/s: 35.94 | loss: 0.30983 | time elapsed: 3.94h | time left: 12.08h
batch  35400 | examples/s: 29.44 | loss: 0.30185 | time elapsed: 3.95h | time left: 12.07h
batch  35500 | examples/s: 28.43 | loss: 0.31616 | time elapsed: 3.96h | time left: 12.06h
batch  35600 | examples/s: 25.56 | loss: 0.30948 | time elapsed: 3.97h | time left: 12.05h
batch  35700 | examples/s: 29.02 | loss: 0.31798 | time elapsed: 3.98h | time left: 12.04h
batch  35800 | examples/s: 33.05 | loss: 0.30615 | time elapsed: 3.99h | time left: 12.02h
batch  35900 | examples/s: 33.15 | loss: 0.30786 | time elapsed: 4.00h | time left: 12.01h
batch  36000 | examples/s: 32.97 | loss: 0.31339 | time elapsed: 4.01h | time left: 12.00h
batch  36100 | examples/s: 33.12 | loss: 0.30408 | time elapsed: 4.03h | time left: 11.99h
batch  36200 | examples/s: 31.81 | loss: 0.30610 | time elapsed: 4.04h | time left: 11.98h
batch  36300 | examples/s: 31.66 | loss: 0.30947 | time elapsed: 4.05h | time left: 11.96h
batch  36400 | examples/s: 34.16 | loss: 0.31056 | time elapsed: 4.06h | time left: 11.95h
batch  36500 | examples/s: 32.94 | loss: 0.30928 | time elapsed: 4.07h | time left: 11.94h
batch  36600 | examples/s: 34.91 | loss: 0.31470 | time elapsed: 4.08h | time left: 11.93h
batch  36700 | examples/s: 34.57 | loss: 0.31149 | time elapsed: 4.09h | time left: 11.92h
batch  36800 | examples/s: 32.42 | loss: 0.31089 | time elapsed: 4.10h | time left: 11.90h
batch  36900 | examples/s: 34.70 | loss: 0.31516 | time elapsed: 4.11h | time left: 11.89h
batch  37000 | examples/s: 33.12 | loss: 0.30820 | time elapsed: 4.12h | time left: 11.88h
batch  37100 | examples/s: 33.00 | loss: 0.31071 | time elapsed: 4.13h | time left: 11.87h
batch  37200 | examples/s: 33.00 | loss: 0.31062 | time elapsed: 4.15h | time left: 11.86h
batch  37300 | examples/s: 28.91 | loss: 0.30891 | time elapsed: 4.16h | time left: 11.84h
epoch  12 | val loss: 0.35405 | time cost: 18.40 s |
batch  37400 | examples/s: 27.99 | loss: 0.29604 | time elapsed: 4.17h | time left: 11.85h
batch  37500 | examples/s: 33.12 | loss: 0.30170 | time elapsed: 4.18h | time left: 11.84h
batch  37600 | examples/s: 33.00 | loss: 0.30379 | time elapsed: 4.19h | time left: 11.82h
batch  37700 | examples/s: 33.13 | loss: 0.30130 | time elapsed: 4.21h | time left: 11.81h
batch  37800 | examples/s: 34.50 | loss: 0.30830 | time elapsed: 4.22h | time left: 11.80h
batch  37900 | examples/s: 30.77 | loss: 0.29948 | time elapsed: 4.23h | time left: 11.79h
batch  38000 | examples/s: 33.29 | loss: 0.30043 | time elapsed: 4.24h | time left: 11.78h
batch  38100 | examples/s: 33.16 | loss: 0.30571 | time elapsed: 4.25h | time left: 11.77h
batch  38200 | examples/s: 36.47 | loss: 0.30979 | time elapsed: 4.26h | time left: 11.75h
batch  38300 | examples/s: 33.17 | loss: 0.30043 | time elapsed: 4.27h | time left: 11.74h
batch  38400 | examples/s: 33.14 | loss: 0.30206 | time elapsed: 4.28h | time left: 11.73h
batch  38500 | examples/s: 33.00 | loss: 0.30229 | time elapsed: 4.29h | time left: 11.72h
batch  38600 | examples/s: 17.80 | loss: 0.30567 | time elapsed: 4.30h | time left: 11.71h
batch  38700 | examples/s: 29.23 | loss: 0.31047 | time elapsed: 4.31h | time left: 11.70h
batch  38800 | examples/s: 33.12 | loss: 0.30183 | time elapsed: 4.33h | time left: 11.68h
batch  38900 | examples/s: 33.11 | loss: 0.31230 | time elapsed: 4.34h | time left: 11.67h
batch  39000 | examples/s: 30.45 | loss: 0.30396 | time elapsed: 4.35h | time left: 11.66h
batch  39100 | examples/s: 28.23 | loss: 0.30308 | time elapsed: 4.36h | time left: 11.65h
batch  39200 | examples/s: 25.66 | loss: 0.30667 | time elapsed: 4.37h | time left: 11.64h
batch  39300 | examples/s: 33.18 | loss: 0.30526 | time elapsed: 4.38h | time left: 11.62h
batch  39400 | examples/s: 33.24 | loss: 0.31136 | time elapsed: 4.39h | time left: 11.61h
batch  39500 | examples/s: 28.98 | loss: 0.30644 | time elapsed: 4.40h | time left: 11.60h
batch  39600 | examples/s: 30.26 | loss: 0.29637 | time elapsed: 4.41h | time left: 11.59h
batch  39700 | examples/s: 33.00 | loss: 0.30838 | time elapsed: 4.42h | time left: 11.58h
batch  39800 | examples/s: 36.58 | loss: 0.30001 | time elapsed: 4.43h | time left: 11.57h
batch  39900 | examples/s: 30.03 | loss: 0.30245 | time elapsed: 4.45h | time left: 11.55h
batch  40000 | examples/s: 33.31 | loss: 0.30287 | time elapsed: 4.46h | time left: 11.54h
batch  40100 | examples/s: 30.71 | loss: 0.30532 | time elapsed: 4.47h | time left: 11.53h
batch  40200 | examples/s: 27.69 | loss: 0.30253 | time elapsed: 4.48h | time left: 11.52h
epoch  13 | val loss: 0.34955 | time cost: 18.37 s |
batch  40300 | examples/s: 25.36 | loss: 0.30194 | time elapsed: 4.49h | time left: 11.52h
batch  40400 | examples/s: 33.03 | loss: 0.29708 | time elapsed: 4.51h | time left: 11.51h
batch  40500 | examples/s: 33.15 | loss: 0.29408 | time elapsed: 4.52h | time left: 11.50h
batch  40600 | examples/s: 36.48 | loss: 0.30304 | time elapsed: 4.53h | time left: 11.49h
batch  40700 | examples/s: 29.29 | loss: 0.30112 | time elapsed: 4.54h | time left: 11.47h
batch  40800 | examples/s: 32.57 | loss: 0.30542 | time elapsed: 4.55h | time left: 11.46h
batch  40900 | examples/s: 33.17 | loss: 0.29682 | time elapsed: 4.56h | time left: 11.45h
batch  41000 | examples/s: 29.07 | loss: 0.29888 | time elapsed: 4.57h | time left: 11.44h
batch  41100 | examples/s: 27.51 | loss: 0.30548 | time elapsed: 4.58h | time left: 11.43h
batch  41200 | examples/s: 33.01 | loss: 0.29441 | time elapsed: 4.59h | time left: 11.42h
batch  41300 | examples/s: 29.77 | loss: 0.29738 | time elapsed: 4.60h | time left: 11.40h
batch  41400 | examples/s: 35.12 | loss: 0.29885 | time elapsed: 4.61h | time left: 11.39h
batch  41500 | examples/s: 33.16 | loss: 0.30115 | time elapsed: 4.63h | time left: 11.38h
batch  41600 | examples/s: 26.55 | loss: 0.29399 | time elapsed: 4.64h | time left: 11.37h
batch  41700 | examples/s: 29.31 | loss: 0.30032 | time elapsed: 4.65h | time left: 11.36h
batch  41800 | examples/s: 27.76 | loss: 0.30402 | time elapsed: 4.66h | time left: 11.35h
batch  41900 | examples/s: 33.04 | loss: 0.30030 | time elapsed: 4.67h | time left: 11.33h
batch  42000 | examples/s: 32.75 | loss: 0.29695 | time elapsed: 4.68h | time left: 11.32h
batch  42100 | examples/s: 33.18 | loss: 0.30407 | time elapsed: 4.69h | time left: 11.31h
batch  42200 | examples/s: 28.42 | loss: 0.30099 | time elapsed: 4.70h | time left: 11.30h
batch  42300 | examples/s: 28.78 | loss: 0.29641 | time elapsed: 4.71h | time left: 11.29h
batch  42400 | examples/s: 33.01 | loss: 0.30281 | time elapsed: 4.72h | time left: 11.27h
batch  42500 | examples/s: 33.08 | loss: 0.30486 | time elapsed: 4.73h | time left: 11.26h
batch  42600 | examples/s: 32.89 | loss: 0.30607 | time elapsed: 4.75h | time left: 11.25h
batch  42700 | examples/s: 31.43 | loss: 0.30305 | time elapsed: 4.76h | time left: 11.24h
batch  42800 | examples/s: 28.50 | loss: 0.29655 | time elapsed: 4.77h | time left: 11.23h
batch  42900 | examples/s: 26.74 | loss: 0.29597 | time elapsed: 4.78h | time left: 11.22h
batch  43000 | examples/s: 28.59 | loss: 0.29689 | time elapsed: 4.79h | time left: 11.20h
epoch  14 | val loss: 0.34550 | time cost: 18.23 s |
batch  43100 | examples/s: 33.16 | loss: 0.29995 | time elapsed: 4.81h | time left: 11.21h
batch  43200 | examples/s: 33.28 | loss: 0.29748 | time elapsed: 4.82h | time left: 11.19h
batch  43300 | examples/s: 28.62 | loss: 0.29090 | time elapsed: 4.83h | time left: 11.18h
batch  43400 | examples/s: 33.07 | loss: 0.29568 | time elapsed: 4.84h | time left: 11.17h
batch  43500 | examples/s: 33.25 | loss: 0.29214 | time elapsed: 4.85h | time left: 11.16h
batch  43600 | examples/s: 34.07 | loss: 0.29702 | time elapsed: 4.86h | time left: 11.15h
batch  43700 | examples/s: 33.22 | loss: 0.29057 | time elapsed: 4.87h | time left: 11.14h
batch  43800 | examples/s: 33.18 | loss: 0.30031 | time elapsed: 4.88h | time left: 11.12h
batch  43900 | examples/s: 33.20 | loss: 0.29972 | time elapsed: 4.89h | time left: 11.11h
batch  44000 | examples/s: 30.79 | loss: 0.29392 | time elapsed: 4.90h | time left: 11.10h
batch  44100 | examples/s: 35.58 | loss: 0.29429 | time elapsed: 4.91h | time left: 11.09h
batch  44200 | examples/s: 28.75 | loss: 0.30007 | time elapsed: 4.92h | time left: 11.08h
batch  44300 | examples/s: 22.36 | loss: 0.29584 | time elapsed: 4.94h | time left: 11.06h
batch  44400 | examples/s: 29.26 | loss: 0.29818 | time elapsed: 4.95h | time left: 11.05h
batch  44500 | examples/s: 28.54 | loss: 0.30314 | time elapsed: 4.96h | time left: 11.04h
batch  44600 | examples/s: 33.16 | loss: 0.30052 | time elapsed: 4.97h | time left: 11.03h
batch  44700 | examples/s: 34.56 | loss: 0.29263 | time elapsed: 4.98h | time left: 11.02h
batch  44800 | examples/s: 33.03 | loss: 0.29963 | time elapsed: 4.99h | time left: 11.00h
batch  44900 | examples/s: 33.14 | loss: 0.29138 | time elapsed: 5.00h | time left: 10.99h
batch  45000 | examples/s: 33.17 | loss: 0.29280 | time elapsed: 5.01h | time left: 10.98h
batch  45100 | examples/s: 20.15 | loss: 0.29741 | time elapsed: 5.02h | time left: 10.97h
batch  45200 | examples/s: 33.27 | loss: 0.29705 | time elapsed: 5.03h | time left: 10.96h
batch  45300 | examples/s: 36.51 | loss: 0.29531 | time elapsed: 5.04h | time left: 10.95h
batch  45400 | examples/s: 33.43 | loss: 0.29973 | time elapsed: 5.06h | time left: 10.94h
batch  45500 | examples/s: 28.35 | loss: 0.29793 | time elapsed: 5.07h | time left: 10.92h
batch  45600 | examples/s: 35.67 | loss: 0.29210 | time elapsed: 5.08h | time left: 10.91h
batch  45700 | examples/s: 33.00 | loss: 0.29403 | time elapsed: 5.09h | time left: 10.90h
batch  45800 | examples/s: 25.45 | loss: 0.29096 | time elapsed: 5.10h | time left: 10.89h
batch  45900 | examples/s: 31.65 | loss: 0.29271 | time elapsed: 5.11h | time left: 10.88h
epoch  15 | val loss: 0.36530 | time cost: 19.18 s |
batch  46000 | examples/s: 33.14 | loss: 0.29777 | time elapsed: 5.13h | time left: 10.88h
batch  46100 | examples/s: 27.85 | loss: 0.28867 | time elapsed: 5.14h | time left: 10.86h
batch  46200 | examples/s: 33.14 | loss: 0.29086 | time elapsed: 5.15h | time left: 10.85h
batch  46300 | examples/s: 34.39 | loss: 0.29463 | time elapsed: 5.16h | time left: 10.84h
batch  46400 | examples/s: 33.18 | loss: 0.28198 | time elapsed: 5.17h | time left: 10.83h
batch  46500 | examples/s: 33.41 | loss: 0.28787 | time elapsed: 5.18h | time left: 10.82h
batch  46600 | examples/s: 33.25 | loss: 0.29486 | time elapsed: 5.19h | time left: 10.81h
batch  46700 | examples/s: 29.60 | loss: 0.28580 | time elapsed: 5.20h | time left: 10.79h
batch  46800 | examples/s: 33.25 | loss: 0.29259 | time elapsed: 5.21h | time left: 10.78h
batch  46900 | examples/s: 32.86 | loss: 0.29554 | time elapsed: 5.22h | time left: 10.77h
batch  47000 | examples/s: 33.12 | loss: 0.29179 | time elapsed: 5.23h | time left: 10.76h
batch  47100 | examples/s: 33.11 | loss: 0.28580 | time elapsed: 5.25h | time left: 10.75h
batch  47200 | examples/s: 33.17 | loss: 0.29036 | time elapsed: 5.26h | time left: 10.74h
batch  47300 | examples/s: 25.48 | loss: 0.29040 | time elapsed: 5.27h | time left: 10.72h
batch  47400 | examples/s: 25.75 | loss: 0.29451 | time elapsed: 5.28h | time left: 10.71h
batch  47500 | examples/s: 36.19 | loss: 0.29500 | time elapsed: 5.29h | time left: 10.70h
batch  47600 | examples/s: 33.06 | loss: 0.29711 | time elapsed: 5.30h | time left: 10.69h
batch  47700 | examples/s: 41.92 | loss: 0.28933 | time elapsed: 5.31h | time left: 10.68h
batch  47800 | examples/s: 33.36 | loss: 0.29641 | time elapsed: 5.32h | time left: 10.67h
batch  47900 | examples/s: 29.52 | loss: 0.29289 | time elapsed: 5.33h | time left: 10.65h
batch  48000 | examples/s: 28.24 | loss: 0.29231 | time elapsed: 5.34h | time left: 10.64h
batch  48100 | examples/s: 33.95 | loss: 0.29352 | time elapsed: 5.35h | time left: 10.63h
batch  48200 | examples/s: 31.36 | loss: 0.29574 | time elapsed: 5.37h | time left: 10.62h
batch  48300 | examples/s: 33.07 | loss: 0.29351 | time elapsed: 5.38h | time left: 10.61h
batch  48400 | examples/s: 27.66 | loss: 0.28720 | time elapsed: 5.39h | time left: 10.60h
batch  48500 | examples/s: 27.42 | loss: 0.29226 | time elapsed: 5.40h | time left: 10.58h
batch  48600 | examples/s: 33.22 | loss: 0.29594 | time elapsed: 5.41h | time left: 10.57h
batch  48700 | examples/s: 33.10 | loss: 0.29595 | time elapsed: 5.42h | time left: 10.56h
batch  48800 | examples/s: 29.57 | loss: 0.29334 | time elapsed: 5.43h | time left: 10.55h
epoch  16 | val loss: 0.35194 | time cost: 19.59 s |
batch  48900 | examples/s: 33.04 | loss: 0.28600 | time elapsed: 5.45h | time left: 10.55h
batch  49000 | examples/s: 30.61 | loss: 0.29229 | time elapsed: 5.46h | time left: 10.54h
batch  49100 | examples/s: 30.33 | loss: 0.29188 | time elapsed: 5.47h | time left: 10.53h
batch  49200 | examples/s: 33.57 | loss: 0.28460 | time elapsed: 5.48h | time left: 10.51h
batch  49300 | examples/s: 24.06 | loss: 0.28762 | time elapsed: 5.49h | time left: 10.50h
batch  49400 | examples/s: 29.45 | loss: 0.28668 | time elapsed: 5.50h | time left: 10.49h
batch  49500 | examples/s: 35.13 | loss: 0.28267 | time elapsed: 5.51h | time left: 10.48h
batch  49600 | examples/s: 32.84 | loss: 0.29726 | time elapsed: 5.52h | time left: 10.47h
batch  49700 | examples/s: 27.05 | loss: 0.28880 | time elapsed: 5.53h | time left: 10.46h
batch  49800 | examples/s: 32.87 | loss: 0.28570 | time elapsed: 5.55h | time left: 10.45h
batch  49900 | examples/s: 32.91 | loss: 0.29048 | time elapsed: 5.56h | time left: 10.43h
batch  50000 | examples/s: 28.72 | loss: 0.28221 | time elapsed: 5.57h | time left: 10.42h
batch  50100 | examples/s: 34.83 | loss: 0.28869 | time elapsed: 5.58h | time left: 10.41h
batch  50200 | examples/s: 26.78 | loss: 0.28411 | time elapsed: 5.59h | time left: 10.40h
batch  50300 | examples/s: 30.53 | loss: 0.28930 | time elapsed: 5.60h | time left: 10.39h
batch  50400 | examples/s: 32.35 | loss: 0.28686 | time elapsed: 5.61h | time left: 10.38h
batch  50500 | examples/s: 29.38 | loss: 0.29517 | time elapsed: 5.62h | time left: 10.37h
batch  50600 | examples/s: 31.68 | loss: 0.29271 | time elapsed: 5.63h | time left: 10.35h
batch  50700 | examples/s: 29.80 | loss: 0.29080 | time elapsed: 5.64h | time left: 10.34h
batch  50800 | examples/s: 33.02 | loss: 0.28801 | time elapsed: 5.66h | time left: 10.33h
batch  50900 | examples/s: 30.31 | loss: 0.28975 | time elapsed: 5.67h | time left: 10.32h
batch  51000 | examples/s: 35.92 | loss: 0.28619 | time elapsed: 5.68h | time left: 10.31h
batch  51100 | examples/s: 26.09 | loss: 0.30901 | time elapsed: 5.69h | time left: 10.30h
batch  51200 | examples/s: 29.82 | loss: 0.30392 | time elapsed: 5.70h | time left: 10.29h
batch  51300 | examples/s: 21.74 | loss: 0.29045 | time elapsed: 5.71h | time left: 10.27h
batch  51400 | examples/s: 32.99 | loss: 0.29775 | time elapsed: 5.72h | time left: 10.26h
batch  51500 | examples/s: 28.05 | loss: 0.29032 | time elapsed: 5.73h | time left: 10.25h
batch  51600 | examples/s: 33.01 | loss: 0.29775 | time elapsed: 5.74h | time left: 10.24h
epoch  17 | val loss: 0.35121 | time cost: 19.54 s |
batch  51700 | examples/s: 24.97 | loss: 0.25981 | time elapsed: 5.76h | time left: 10.24h
batch  51800 | examples/s: 28.16 | loss: 0.28579 | time elapsed: 5.77h | time left: 10.23h
batch  51900 | examples/s: 32.44 | loss: 0.28477 | time elapsed: 5.78h | time left: 10.22h
batch  52000 | examples/s: 32.94 | loss: 0.30794 | time elapsed: 5.79h | time left: 10.20h
batch  52100 | examples/s: 29.17 | loss: 0.32862 | time elapsed: 5.80h | time left: 10.19h
batch  52200 | examples/s: 32.90 | loss: 0.30807 | time elapsed: 5.81h | time left: 10.18h
batch  52300 | examples/s: 32.76 | loss: 0.29842 | time elapsed: 5.83h | time left: 10.17h
batch  52400 | examples/s: 27.76 | loss: 0.29109 | time elapsed: 5.84h | time left: 10.16h
batch  52500 | examples/s: 35.36 | loss: 0.30999 | time elapsed: 5.85h | time left: 10.15h
batch  52600 | examples/s: 29.07 | loss: 0.29877 | time elapsed: 5.86h | time left: 10.14h
batch  52700 | examples/s: 33.02 | loss: 0.29283 | time elapsed: 5.87h | time left: 10.12h
batch  52800 | examples/s: 32.80 | loss: 0.28694 | time elapsed: 5.88h | time left: 10.11h
batch  52900 | examples/s: 33.12 | loss: 0.29350 | time elapsed: 5.89h | time left: 10.10h
batch  53000 | examples/s: 28.77 | loss: 0.28955 | time elapsed: 5.90h | time left: 10.09h
batch  53100 | examples/s: 33.26 | loss: 0.28575 | time elapsed: 5.91h | time left: 10.08h
batch  53200 | examples/s: 27.74 | loss: 0.28232 | time elapsed: 5.92h | time left: 10.07h
batch  53300 | examples/s: 33.40 | loss: 0.28915 | time elapsed: 5.94h | time left: 10.06h
batch  53400 | examples/s: 29.93 | loss: 0.28643 | time elapsed: 5.95h | time left: 10.05h
batch  53500 | examples/s: 27.63 | loss: 0.29171 | time elapsed: 5.96h | time left: 10.03h
batch  53600 | examples/s: 27.90 | loss: 0.28815 | time elapsed: 5.97h | time left: 10.02h
batch  53700 | examples/s: 28.73 | loss: 0.28334 | time elapsed: 5.98h | time left: 10.01h
batch  53800 | examples/s: 33.06 | loss: 0.28754 | time elapsed: 5.99h | time left: 10.00h
batch  53900 | examples/s: 23.41 | loss: 0.28049 | time elapsed: 6.00h | time left: 9.99h
batch  54000 | examples/s: 28.66 | loss: 0.28300 | time elapsed: 6.01h | time left: 9.98h
batch  54100 | examples/s: 33.04 | loss: 0.27767 | time elapsed: 6.02h | time left: 9.96h
batch  54200 | examples/s: 28.56 | loss: 0.28676 | time elapsed: 6.03h | time left: 9.95h
batch  54300 | examples/s: 32.90 | loss: 0.28165 | time elapsed: 6.05h | time left: 9.94h
batch  54400 | examples/s: 33.06 | loss: 0.28431 | time elapsed: 6.06h | time left: 9.93h
batch  54500 | examples/s: 31.55 | loss: 0.28700 | time elapsed: 6.07h | time left: 9.92h
epoch  18 | val loss: 0.33944 | time cost: 19.17 s |
batch  54600 | examples/s: 32.96 | loss: 0.28326 | time elapsed: 6.08h | time left: 9.92h
batch  54700 | examples/s: 28.73 | loss: 0.28294 | time elapsed: 6.09h | time left: 9.91h
batch  54800 | examples/s: 28.57 | loss: 0.27783 | time elapsed: 6.11h | time left: 9.89h
batch  54900 | examples/s: 34.49 | loss: 0.27572 | time elapsed: 6.12h | time left: 9.88h
batch  55000 | examples/s: 34.52 | loss: 0.27947 | time elapsed: 6.13h | time left: 9.87h
batch  55100 | examples/s: 26.32 | loss: 0.28270 | time elapsed: 6.14h | time left: 9.86h
batch  55200 | examples/s: 32.96 | loss: 0.28354 | time elapsed: 6.15h | time left: 9.85h
batch  55300 | examples/s: 33.10 | loss: 0.28814 | time elapsed: 6.16h | time left: 9.84h
batch  55400 | examples/s: 28.33 | loss: 0.28519 | time elapsed: 6.17h | time left: 9.83h
batch  55500 | examples/s: 28.80 | loss: 0.28770 | time elapsed: 6.18h | time left: 9.81h
batch  55600 | examples/s: 35.52 | loss: 0.27843 | time elapsed: 6.19h | time left: 9.80h
batch  55700 | examples/s: 29.21 | loss: 0.28555 | time elapsed: 6.20h | time left: 9.79h
batch  55800 | examples/s: 33.16 | loss: 0.27824 | time elapsed: 6.22h | time left: 9.78h
batch  55900 | examples/s: 28.12 | loss: 0.28136 | time elapsed: 6.23h | time left: 9.77h
batch  56000 | examples/s: 33.33 | loss: 0.28189 | time elapsed: 6.24h | time left: 9.76h
batch  56100 | examples/s: 33.01 | loss: 0.28247 | time elapsed: 6.25h | time left: 9.75h
batch  56200 | examples/s: 27.41 | loss: 0.28871 | time elapsed: 6.26h | time left: 9.74h
batch  56300 | examples/s: 29.61 | loss: 0.28109 | time elapsed: 6.27h | time left: 9.72h
batch  56400 | examples/s: 29.41 | loss: 0.28074 | time elapsed: 6.28h | time left: 9.71h
batch  56500 | examples/s: 27.72 | loss: 0.27941 | time elapsed: 6.29h | time left: 9.70h
batch  56600 | examples/s: 32.67 | loss: 0.28646 | time elapsed: 6.30h | time left: 9.69h
batch  56700 | examples/s: 33.23 | loss: 0.28901 | time elapsed: 6.31h | time left: 9.68h
batch  56800 | examples/s: 33.13 | loss: 0.28359 | time elapsed: 6.33h | time left: 9.67h
batch  56900 | examples/s: 19.82 | loss: 0.28152 | time elapsed: 6.34h | time left: 9.66h
batch  57000 | examples/s: 28.93 | loss: 0.28949 | time elapsed: 6.35h | time left: 9.64h
batch  57100 | examples/s: 28.83 | loss: 0.28399 | time elapsed: 6.36h | time left: 9.63h
batch  57200 | examples/s: 28.32 | loss: 0.28093 | time elapsed: 6.37h | time left: 9.62h
batch  57300 | examples/s: 32.82 | loss: 0.28728 | time elapsed: 6.38h | time left: 9.61h
batch  57400 | examples/s: 33.18 | loss: 0.28510 | time elapsed: 6.39h | time left: 9.60h
epoch  19 | val loss: 0.33852 | time cost: 19.41 s |
batch  57500 | examples/s: 29.04 | loss: 0.28505 | time elapsed: 6.41h | time left: 9.60h
batch  57600 | examples/s: 27.75 | loss: 0.27837 | time elapsed: 6.42h | time left: 9.59h
batch  57700 | examples/s: 33.03 | loss: 0.27878 | time elapsed: 6.43h | time left: 9.57h
batch  57800 | examples/s: 32.96 | loss: 0.28371 | time elapsed: 6.44h | time left: 9.56h
batch  57900 | examples/s: 32.98 | loss: 0.28512 | time elapsed: 6.45h | time left: 9.55h
batch  58000 | examples/s: 29.82 | loss: 0.28224 | time elapsed: 6.46h | time left: 9.54h
batch  58100 | examples/s: 18.55 | loss: 0.28100 | time elapsed: 6.47h | time left: 9.53h
batch  58200 | examples/s: 30.33 | loss: 0.27331 | time elapsed: 6.49h | time left: 9.52h
batch  58300 | examples/s: 29.61 | loss: 0.28098 | time elapsed: 6.50h | time left: 9.51h
batch  58400 | examples/s: 28.51 | loss: 0.27869 | time elapsed: 6.51h | time left: 9.49h
batch  58500 | examples/s: 34.94 | loss: 0.27606 | time elapsed: 6.52h | time left: 9.48h
batch  58600 | examples/s: 28.49 | loss: 0.27902 | time elapsed: 6.53h | time left: 9.47h
batch  58700 | examples/s: 28.69 | loss: 0.28061 | time elapsed: 6.54h | time left: 9.46h
batch  58800 | examples/s: 25.26 | loss: 0.27934 | time elapsed: 6.55h | time left: 9.45h
batch  58900 | examples/s: 36.33 | loss: 0.28801 | time elapsed: 6.56h | time left: 9.44h
batch  59000 | examples/s: 33.15 | loss: 0.27958 | time elapsed: 6.57h | time left: 9.43h
batch  59100 | examples/s: 33.79 | loss: 0.28314 | time elapsed: 6.58h | time left: 9.41h
batch  59200 | examples/s: 35.69 | loss: 0.28031 | time elapsed: 6.60h | time left: 9.40h
batch  59300 | examples/s: 33.20 | loss: 0.27764 | time elapsed: 6.61h | time left: 9.39h
batch  59400 | examples/s: 32.05 | loss: 0.27688 | time elapsed: 6.62h | time left: 9.38h
batch  59500 | examples/s: 24.94 | loss: 0.27850 | time elapsed: 6.63h | time left: 9.37h
batch  59600 | examples/s: 28.39 | loss: 0.28030 | time elapsed: 6.64h | time left: 9.36h
batch  59700 | examples/s: 27.55 | loss: 0.28700 | time elapsed: 6.65h | time left: 9.35h
batch  59800 | examples/s: 33.08 | loss: 0.27234 | time elapsed: 6.66h | time left: 9.34h
batch  59900 | examples/s: 30.73 | loss: 0.28496 | time elapsed: 6.67h | time left: 9.32h
batch  60000 | examples/s: 28.05 | loss: 0.27925 | time elapsed: 6.68h | time left: 9.31h
batch  60100 | examples/s: 27.01 | loss: 0.28082 | time elapsed: 6.69h | time left: 9.30h
batch  60200 | examples/s: 22.40 | loss: 0.27978 | time elapsed: 6.71h | time left: 9.29h
batch  60300 | examples/s: 33.67 | loss: 0.28550 | time elapsed: 6.72h | time left: 9.28h
epoch  20 | val loss: 0.34505 | time cost: 19.23 s |
batch  60400 | examples/s: 35.59 | loss: 0.28555 | time elapsed: 6.73h | time left: 9.28h
batch  60500 | examples/s: 27.35 | loss: 0.27401 | time elapsed: 6.74h | time left: 9.26h
batch  60600 | examples/s: 29.99 | loss: 0.27860 | time elapsed: 6.76h | time left: 9.25h
batch  60700 | examples/s: 32.86 | loss: 0.28040 | time elapsed: 6.77h | time left: 9.24h
batch  60800 | examples/s: 33.14 | loss: 0.27924 | time elapsed: 6.78h | time left: 9.23h
batch  60900 | examples/s: 38.87 | loss: 0.27722 | time elapsed: 6.79h | time left: 9.22h
batch  61000 | examples/s: 32.98 | loss: 0.27481 | time elapsed: 6.80h | time left: 9.21h
batch  61100 | examples/s: 33.21 | loss: 0.27645 | time elapsed: 6.81h | time left: 9.20h
batch  61200 | examples/s: 29.09 | loss: 0.27822 | time elapsed: 6.82h | time left: 9.18h
batch  61300 | examples/s: 33.82 | loss: 0.27578 | time elapsed: 6.83h | time left: 9.17h
batch  61400 | examples/s: 32.87 | loss: 0.28171 | time elapsed: 6.84h | time left: 9.16h
batch  61500 | examples/s: 32.68 | loss: 0.28005 | time elapsed: 6.85h | time left: 9.15h
batch  61600 | examples/s: 25.16 | loss: 0.27754 | time elapsed: 6.87h | time left: 9.14h
batch  61700 | examples/s: 33.08 | loss: 0.27641 | time elapsed: 6.88h | time left: 9.13h
batch  61800 | examples/s: 28.83 | loss: 0.27796 | time elapsed: 6.89h | time left: 9.12h
batch  61900 | examples/s: 33.08 | loss: 0.27693 | time elapsed: 6.90h | time left: 9.10h
batch  62000 | examples/s: 38.54 | loss: 0.28305 | time elapsed: 6.91h | time left: 9.09h
batch  62100 | examples/s: 33.17 | loss: 0.28370 | time elapsed: 6.92h | time left: 9.08h
batch  62200 | examples/s: 37.12 | loss: 0.28250 | time elapsed: 6.93h | time left: 9.07h
batch  62300 | examples/s: 33.22 | loss: 0.28176 | time elapsed: 6.94h | time left: 9.06h
batch  62400 | examples/s: 31.18 | loss: 0.28529 | time elapsed: 6.95h | time left: 9.05h
batch  62500 | examples/s: 30.89 | loss: 0.27985 | time elapsed: 6.96h | time left: 9.04h
batch  62600 | examples/s: 33.21 | loss: 0.28203 | time elapsed: 6.97h | time left: 9.02h
batch  62700 | examples/s: 27.95 | loss: 0.27842 | time elapsed: 6.99h | time left: 9.01h
batch  62800 | examples/s: 29.12 | loss: 0.27483 | time elapsed: 7.00h | time left: 9.00h
batch  62900 | examples/s: 29.19 | loss: 0.28523 | time elapsed: 7.01h | time left: 8.99h
batch  63000 | examples/s: 33.24 | loss: 0.28007 | time elapsed: 7.02h | time left: 8.98h
batch  63100 | examples/s: 32.35 | loss: 0.28355 | time elapsed: 7.03h | time left: 8.97h
epoch  21 | val loss: 0.34141 | time cost: 19.27 s |
batch  63200 | examples/s: 32.84 | loss: 0.27253 | time elapsed: 7.05h | time left: 8.96h
batch  63300 | examples/s: 25.82 | loss: 0.27389 | time elapsed: 7.06h | time left: 8.95h
batch  63400 | examples/s: 33.06 | loss: 0.27203 | time elapsed: 7.07h | time left: 8.94h
batch  63500 | examples/s: 33.00 | loss: 0.27537 | time elapsed: 7.08h | time left: 8.93h
batch  63600 | examples/s: 29.74 | loss: 0.28098 | time elapsed: 7.09h | time left: 8.92h
batch  63700 | examples/s: 29.36 | loss: 0.27199 | time elapsed: 7.10h | time left: 8.91h
batch  63800 | examples/s: 28.30 | loss: 0.27616 | time elapsed: 7.11h | time left: 8.90h
batch  63900 | examples/s: 27.84 | loss: 0.27593 | time elapsed: 7.12h | time left: 8.88h
batch  64000 | examples/s: 33.01 | loss: 0.27519 | time elapsed: 7.13h | time left: 8.87h
batch  64100 | examples/s: 33.11 | loss: 0.27405 | time elapsed: 7.15h | time left: 8.86h
batch  64200 | examples/s: 32.78 | loss: 0.27785 | time elapsed: 7.16h | time left: 8.85h
batch  64300 | examples/s: 32.93 | loss: 0.27157 | time elapsed: 7.17h | time left: 8.84h
batch  64400 | examples/s: 33.08 | loss: 0.27854 | time elapsed: 7.18h | time left: 8.83h
batch  64500 | examples/s: 29.20 | loss: 0.27606 | time elapsed: 7.19h | time left: 8.82h
batch  64600 | examples/s: 33.09 | loss: 0.27482 | time elapsed: 7.20h | time left: 8.81h
batch  64700 | examples/s: 32.83 | loss: 0.27832 | time elapsed: 7.21h | time left: 8.79h
batch  64800 | examples/s: 28.44 | loss: 0.27236 | time elapsed: 7.22h | time left: 8.78h
batch  64900 | examples/s: 29.88 | loss: 0.27519 | time elapsed: 7.23h | time left: 8.77h
batch  65000 | examples/s: 26.15 | loss: 0.28121 | time elapsed: 7.24h | time left: 8.76h
batch  65100 | examples/s: 28.26 | loss: 0.27147 | time elapsed: 7.26h | time left: 8.75h
batch  65200 | examples/s: 29.72 | loss: 0.28007 | time elapsed: 7.27h | time left: 8.74h
batch  65300 | examples/s: 29.17 | loss: 0.27807 | time elapsed: 7.28h | time left: 8.73h
batch  65400 | examples/s: 29.38 | loss: 0.27587 | time elapsed: 7.29h | time left: 8.71h
batch  65500 | examples/s: 29.92 | loss: 0.28137 | time elapsed: 7.30h | time left: 8.70h
batch  65600 | examples/s: 33.20 | loss: 0.27704 | time elapsed: 7.31h | time left: 8.69h
batch  65700 | examples/s: 30.81 | loss: 0.27431 | time elapsed: 7.32h | time left: 8.68h
batch  65800 | examples/s: 24.58 | loss: 0.28475 | time elapsed: 7.33h | time left: 8.67h
batch  65900 | examples/s: 28.20 | loss: 0.27745 | time elapsed: 7.34h | time left: 8.66h
batch  66000 | examples/s: 35.13 | loss: 0.27839 | time elapsed: 7.35h | time left: 8.65h
epoch  22 | val loss: 0.33363 | time cost: 19.35 s |
batch  66100 | examples/s: 33.07 | loss: 0.26716 | time elapsed: 7.37h | time left: 8.64h
batch  66200 | examples/s: 29.33 | loss: 0.27199 | time elapsed: 7.38h | time left: 8.63h
batch  66300 | examples/s: 27.05 | loss: 0.27001 | time elapsed: 7.39h | time left: 8.62h
batch  66400 | examples/s: 26.84 | loss: 0.26776 | time elapsed: 7.40h | time left: 8.61h
batch  66500 | examples/s: 32.82 | loss: 0.27599 | time elapsed: 7.42h | time left: 8.60h
batch  66600 | examples/s: 29.63 | loss: 0.27640 | time elapsed: 7.43h | time left: 8.59h
batch  66700 | examples/s: 37.53 | loss: 0.27520 | time elapsed: 7.44h | time left: 8.57h
batch  66800 | examples/s: 36.77 | loss: 0.27433 | time elapsed: 7.45h | time left: 8.56h
batch  66900 | examples/s: 33.72 | loss: 0.27309 | time elapsed: 7.46h | time left: 8.55h
batch  67000 | examples/s: 33.45 | loss: 0.27514 | time elapsed: 7.47h | time left: 8.54h
batch  67100 | examples/s: 27.77 | loss: 0.27173 | time elapsed: 7.48h | time left: 8.53h
batch  67200 | examples/s: 32.89 | loss: 0.27805 | time elapsed: 7.49h | time left: 8.52h
batch  67300 | examples/s: 31.53 | loss: 0.27610 | time elapsed: 7.50h | time left: 8.51h
batch  67400 | examples/s: 30.18 | loss: 0.26743 | time elapsed: 7.51h | time left: 8.50h
batch  67500 | examples/s: 21.02 | loss: 0.27525 | time elapsed: 7.53h | time left: 8.48h
batch  67600 | examples/s: 7.22 | loss: 0.27655 | time elapsed: 7.54h | time left: 8.48h
batch  67700 | examples/s: 29.14 | loss: 0.28134 | time elapsed: 7.58h | time left: 8.49h
batch  67800 | examples/s: 33.14 | loss: 0.27241 | time elapsed: 7.59h | time left: 8.48h
batch  67900 | examples/s: 33.01 | loss: 0.27171 | time elapsed: 7.60h | time left: 8.47h
batch  68000 | examples/s: 33.12 | loss: 0.27299 | time elapsed: 7.61h | time left: 8.46h
batch  68100 | examples/s: 33.17 | loss: 0.26391 | time elapsed: 7.62h | time left: 8.45h
batch  68200 | examples/s: 29.62 | loss: 0.27037 | time elapsed: 7.63h | time left: 8.44h
batch  68300 | examples/s: 25.37 | loss: 0.27545 | time elapsed: 7.64h | time left: 8.43h
batch  68400 | examples/s: 30.00 | loss: 0.27379 | time elapsed: 7.65h | time left: 8.41h
batch  68500 | examples/s: 33.18 | loss: 0.27369 | time elapsed: 7.66h | time left: 8.40h
batch  68600 | examples/s: 32.92 | loss: 0.27574 | time elapsed: 7.68h | time left: 8.39h
batch  68700 | examples/s: 25.31 | loss: 0.28070 | time elapsed: 7.69h | time left: 8.38h
batch  68800 | examples/s: 31.69 | loss: 0.27000 | time elapsed: 7.70h | time left: 8.37h
batch  68900 | examples/s: 29.53 | loss: 0.27087 | time elapsed: 7.71h | time left: 8.36h
epoch  23 | val loss: 0.33362 | time cost: 19.36 s |
batch  69000 | examples/s: 33.03 | loss: 0.26764 | time elapsed: 7.72h | time left: 8.35h
batch  69100 | examples/s: 33.01 | loss: 0.26815 | time elapsed: 7.74h | time left: 8.34h
batch  69200 | examples/s: 32.77 | loss: 0.27331 | time elapsed: 7.75h | time left: 8.33h
batch  69300 | examples/s: 35.94 | loss: 0.26886 | time elapsed: 7.76h | time left: 8.32h
batch  69400 | examples/s: 33.11 | loss: 0.26835 | time elapsed: 7.77h | time left: 8.31h
batch  69500 | examples/s: 35.44 | loss: 0.26940 | time elapsed: 7.78h | time left: 8.29h
batch  69600 | examples/s: 30.06 | loss: 0.27137 | time elapsed: 7.79h | time left: 8.28h
batch  69700 | examples/s: 28.28 | loss: 0.26626 | time elapsed: 7.80h | time left: 8.27h
batch  69800 | examples/s: 34.52 | loss: 0.28186 | time elapsed: 7.81h | time left: 8.26h
batch  69900 | examples/s: 28.75 | loss: 0.27729 | time elapsed: 7.82h | time left: 8.25h
batch  70000 | examples/s: 28.67 | loss: 0.27565 | time elapsed: 7.84h | time left: 8.24h
batch  70100 | examples/s: 29.60 | loss: 0.26749 | time elapsed: 7.85h | time left: 8.23h
batch  70200 | examples/s: 25.87 | loss: 0.26749 | time elapsed: 7.86h | time left: 8.22h
batch  70300 | examples/s: 33.06 | loss: 0.27069 | time elapsed: 7.87h | time left: 8.20h
batch  70400 | examples/s: 33.06 | loss: 0.27239 | time elapsed: 7.88h | time left: 8.19h
batch  70500 | examples/s: 33.08 | loss: 0.27736 | time elapsed: 7.89h | time left: 8.18h
batch  70600 | examples/s: 33.15 | loss: 0.27673 | time elapsed: 7.90h | time left: 8.17h
batch  70700 | examples/s: 27.62 | loss: 0.26921 | time elapsed: 7.91h | time left: 8.16h
batch  70800 | examples/s: 30.95 | loss: 0.27288 | time elapsed: 7.92h | time left: 8.15h
batch  70900 | examples/s: 33.29 | loss: 0.27300 | time elapsed: 7.93h | time left: 8.14h
batch  71000 | examples/s: 33.32 | loss: 0.27822 | time elapsed: 7.95h | time left: 8.12h
batch  71100 | examples/s: 28.99 | loss: 0.27040 | time elapsed: 7.96h | time left: 8.11h
batch  71200 | examples/s: 32.89 | loss: 0.27972 | time elapsed: 7.97h | time left: 8.10h
batch  71300 | examples/s: 28.48 | loss: 0.26700 | time elapsed: 7.98h | time left: 8.09h
batch  71400 | examples/s: 33.02 | loss: 0.27324 | time elapsed: 7.99h | time left: 8.08h
batch  71500 | examples/s: 25.50 | loss: 0.27360 | time elapsed: 8.00h | time left: 8.07h
batch  71600 | examples/s: 29.11 | loss: 0.27422 | time elapsed: 8.01h | time left: 8.06h
batch  71700 | examples/s: 23.64 | loss: 0.27001 | time elapsed: 8.02h | time left: 8.05h
batch  71800 | examples/s: 49.36 | loss: 0.27134 | time elapsed: 8.03h | time left: 8.03h
epoch  24 | val loss: 0.33397 | time cost: 20.04 s |
batch  71900 | examples/s: 33.01 | loss: 0.27373 | time elapsed: 8.05h | time left: 8.03h
batch  72000 | examples/s: 27.90 | loss: 0.26974 | time elapsed: 8.06h | time left: 8.02h
batch  72100 | examples/s: 25.61 | loss: 0.26797 | time elapsed: 8.07h | time left: 8.01h
batch  72200 | examples/s: 23.78 | loss: 0.27381 | time elapsed: 8.08h | time left: 7.99h
batch  72300 | examples/s: 33.01 | loss: 0.26971 | time elapsed: 8.09h | time left: 7.98h
batch  72400 | examples/s: 33.09 | loss: 0.27111 | time elapsed: 8.11h | time left: 7.97h
batch  72500 | examples/s: 31.25 | loss: 0.26873 | time elapsed: 8.12h | time left: 7.96h
batch  72600 | examples/s: 33.01 | loss: 0.27575 | time elapsed: 8.13h | time left: 7.95h
batch  72700 | examples/s: 37.27 | loss: 0.27004 | time elapsed: 8.14h | time left: 7.94h
batch  72800 | examples/s: 33.01 | loss: 0.26847 | time elapsed: 8.15h | time left: 7.93h
batch  72900 | examples/s: 22.77 | loss: 0.26691 | time elapsed: 8.16h | time left: 7.91h
batch  73000 | examples/s: 33.63 | loss: 0.27235 | time elapsed: 8.17h | time left: 7.90h
batch  73100 | examples/s: 29.98 | loss: 0.26889 | time elapsed: 8.18h | time left: 7.89h
batch  73200 | examples/s: 32.92 | loss: 0.26661 | time elapsed: 8.19h | time left: 7.88h
batch  73300 | examples/s: 28.71 | loss: 0.27483 | time elapsed: 8.20h | time left: 7.87h
batch  73400 | examples/s: 25.87 | loss: 0.26584 | time elapsed: 8.22h | time left: 7.86h
batch  73500 | examples/s: 33.36 | loss: 0.27041 | time elapsed: 8.23h | time left: 7.85h
batch  73600 | examples/s: 36.97 | loss: 0.27024 | time elapsed: 8.24h | time left: 7.84h
batch  73700 | examples/s: 33.99 | loss: 0.26557 | time elapsed: 8.25h | time left: 7.82h
batch  73800 | examples/s: 33.70 | loss: 0.27789 | time elapsed: 8.26h | time left: 7.81h
batch  73900 | examples/s: 28.55 | loss: 0.27543 | time elapsed: 8.27h | time left: 7.80h
batch  74000 | examples/s: 28.96 | loss: 0.26934 | time elapsed: 8.28h | time left: 7.79h
batch  74100 | examples/s: 30.22 | loss: 0.26743 | time elapsed: 8.29h | time left: 7.78h
batch  74200 | examples/s: 30.18 | loss: 0.26862 | time elapsed: 8.30h | time left: 7.77h
batch  74300 | examples/s: 28.45 | loss: 0.26759 | time elapsed: 8.31h | time left: 7.76h
batch  74400 | examples/s: 28.41 | loss: 0.27120 | time elapsed: 8.33h | time left: 7.74h
batch  74500 | examples/s: 34.91 | loss: 0.26239 | time elapsed: 8.34h | time left: 7.73h
batch  74600 | examples/s: 29.68 | loss: 0.26806 | time elapsed: 8.35h | time left: 7.72h
epoch  25 | val loss: 0.34066 | time cost: 19.98 s |
batch  74700 | examples/s: 33.21 | loss: 0.26413 | time elapsed: 8.36h | time left: 7.71h
batch  74800 | examples/s: 26.02 | loss: 0.26735 | time elapsed: 8.37h | time left: 7.70h
batch  74900 | examples/s: 34.25 | loss: 0.26175 | time elapsed: 8.39h | time left: 7.69h
batch  75000 | examples/s: 33.00 | loss: 0.27058 | time elapsed: 8.40h | time left: 7.68h
batch  75100 | examples/s: 33.03 | loss: 0.26238 | time elapsed: 8.41h | time left: 7.67h
batch  75200 | examples/s: 28.36 | loss: 0.26266 | time elapsed: 8.42h | time left: 7.66h
batch  75300 | examples/s: 29.33 | loss: 0.26523 | time elapsed: 8.43h | time left: 7.65h
batch  75400 | examples/s: 28.82 | loss: 0.26737 | time elapsed: 8.44h | time left: 7.63h
batch  75500 | examples/s: 36.68 | loss: 0.26120 | time elapsed: 8.45h | time left: 7.62h
batch  75600 | examples/s: 33.10 | loss: 0.26395 | time elapsed: 8.46h | time left: 7.61h
batch  75700 | examples/s: 29.75 | loss: 0.27067 | time elapsed: 8.47h | time left: 7.60h
batch  75800 | examples/s: 19.98 | loss: 0.26779 | time elapsed: 8.48h | time left: 7.59h
batch  75900 | examples/s: 28.96 | loss: 0.26230 | time elapsed: 8.50h | time left: 7.58h
batch  76000 | examples/s: 32.73 | loss: 0.27175 | time elapsed: 8.51h | time left: 7.57h
batch  76100 | examples/s: 28.99 | loss: 0.26691 | time elapsed: 8.52h | time left: 7.55h
batch  76200 | examples/s: 33.00 | loss: 0.26707 | time elapsed: 8.53h | time left: 7.54h
batch  76300 | examples/s: 27.00 | loss: 0.27087 | time elapsed: 8.54h | time left: 7.53h
batch  76400 | examples/s: 33.18 | loss: 0.28118 | time elapsed: 8.55h | time left: 7.52h
batch  76500 | examples/s: 32.98 | loss: 0.26964 | time elapsed: 8.56h | time left: 7.51h
batch  76600 | examples/s: 24.95 | loss: 0.27276 | time elapsed: 8.57h | time left: 7.50h
batch  76700 | examples/s: 33.10 | loss: 0.26629 | time elapsed: 8.58h | time left: 7.49h
batch  76800 | examples/s: 33.01 | loss: 0.27275 | time elapsed: 8.59h | time left: 7.48h
batch  76900 | examples/s: 32.93 | loss: 0.26306 | time elapsed: 8.61h | time left: 7.46h
batch  77000 | examples/s: 32.99 | loss: 0.27312 | time elapsed: 8.62h | time left: 7.45h
batch  77100 | examples/s: 31.43 | loss: 0.27145 | time elapsed: 8.63h | time left: 7.44h
batch  77200 | examples/s: 28.30 | loss: 0.26848 | time elapsed: 8.64h | time left: 7.43h
batch  77300 | examples/s: 33.14 | loss: 0.26853 | time elapsed: 8.65h | time left: 7.42h
batch  77400 | examples/s: 33.04 | loss: 0.27267 | time elapsed: 8.66h | time left: 7.41h
batch  77500 | examples/s: 29.07 | loss: 0.26401 | time elapsed: 8.67h | time left: 7.40h
epoch  26 | val loss: 0.33315 | time cost: 18.99 s |
batch  77600 | examples/s: 32.95 | loss: 0.26258 | time elapsed: 8.69h | time left: 7.39h
batch  77700 | examples/s: 24.15 | loss: 0.26560 | time elapsed: 8.70h | time left: 7.38h
batch  77800 | examples/s: 27.48 | loss: 0.25938 | time elapsed: 8.71h | time left: 7.37h
batch  77900 | examples/s: 29.10 | loss: 0.26805 | time elapsed: 8.72h | time left: 7.36h
batch  78000 | examples/s: 28.29 | loss: 0.26522 | time elapsed: 8.73h | time left: 7.34h
batch  78100 | examples/s: 32.98 | loss: 0.26335 | time elapsed: 8.74h | time left: 7.33h
batch  78200 | examples/s: 26.99 | loss: 0.26007 | time elapsed: 8.75h | time left: 7.32h
batch  78300 | examples/s: 29.93 | loss: 0.26586 | time elapsed: 8.76h | time left: 7.31h
batch  78400 | examples/s: 33.04 | loss: 0.26322 | time elapsed: 8.78h | time left: 7.30h
batch  78500 | examples/s: 32.87 | loss: 0.27211 | time elapsed: 8.79h | time left: 7.29h
batch  78600 | examples/s: 33.12 | loss: 0.26601 | time elapsed: 8.80h | time left: 7.28h
batch  78700 | examples/s: 33.14 | loss: 0.26700 | time elapsed: 8.81h | time left: 7.26h
batch  78800 | examples/s: 33.04 | loss: 0.26631 | time elapsed: 8.82h | time left: 7.25h
batch  78900 | examples/s: 30.80 | loss: 0.26659 | time elapsed: 8.83h | time left: 7.24h
batch  79000 | examples/s: 29.99 | loss: 0.26713 | time elapsed: 8.84h | time left: 7.23h
batch  79100 | examples/s: 27.05 | loss: 0.26670 | time elapsed: 8.85h | time left: 7.22h
batch  79200 | examples/s: 32.82 | loss: 0.26516 | time elapsed: 8.86h | time left: 7.21h
batch  79300 | examples/s: 29.73 | loss: 0.26583 | time elapsed: 8.88h | time left: 7.20h
batch  79400 | examples/s: 23.44 | loss: 0.26608 | time elapsed: 8.89h | time left: 7.19h
batch  79500 | examples/s: 27.21 | loss: 0.26551 | time elapsed: 8.90h | time left: 7.17h
batch  79600 | examples/s: 33.10 | loss: 0.26874 | time elapsed: 8.91h | time left: 7.16h
batch  79700 | examples/s: 24.28 | loss: 0.27096 | time elapsed: 8.92h | time left: 7.15h
batch  79800 | examples/s: 33.21 | loss: 0.26537 | time elapsed: 8.93h | time left: 7.14h
batch  79900 | examples/s: 33.16 | loss: 0.26416 | time elapsed: 8.94h | time left: 7.13h
batch  80000 | examples/s: 25.24 | loss: 0.26899 | time elapsed: 8.95h | time left: 7.12h
batch  80100 | examples/s: 30.62 | loss: 0.26592 | time elapsed: 8.96h | time left: 7.11h
batch  80200 | examples/s: 29.03 | loss: 0.26912 | time elapsed: 8.97h | time left: 7.09h
batch  80300 | examples/s: 33.07 | loss: 0.27032 | time elapsed: 8.99h | time left: 7.08h
batch  80400 | examples/s: 32.92 | loss: 0.26742 | time elapsed: 9.00h | time left: 7.07h
epoch  27 | val loss: 0.33286 | time cost: 19.26 s |
batch  80500 | examples/s: 29.83 | loss: 0.26873 | time elapsed: 9.01h | time left: 7.06h
batch  80600 | examples/s: 33.69 | loss: 0.26318 | time elapsed: 9.02h | time left: 7.05h
batch  80700 | examples/s: 32.06 | loss: 0.26320 | time elapsed: 9.04h | time left: 7.04h
batch  80800 | examples/s: 26.71 | loss: 0.26565 | time elapsed: 9.05h | time left: 7.03h
batch  80900 | examples/s: 33.23 | loss: 0.26675 | time elapsed: 9.06h | time left: 7.02h
batch  81000 | examples/s: 33.10 | loss: 0.27015 | time elapsed: 9.07h | time left: 7.01h
batch  81100 | examples/s: 25.14 | loss: 0.26151 | time elapsed: 9.08h | time left: 7.00h
batch  81200 | examples/s: 23.49 | loss: 0.26181 | time elapsed: 9.09h | time left: 6.99h
batch  81300 | examples/s: 8.82 | loss: 0.26437 | time elapsed: 9.11h | time left: 6.98h
batch  81400 | examples/s: 32.96 | loss: 0.26196 | time elapsed: 9.14h | time left: 6.99h
batch  81500 | examples/s: 34.42 | loss: 0.26017 | time elapsed: 9.15h | time left: 6.97h
batch  81600 | examples/s: 33.03 | loss: 0.26051 | time elapsed: 9.16h | time left: 6.96h
batch  81700 | examples/s: 33.06 | loss: 0.25852 | time elapsed: 9.17h | time left: 6.95h
batch  81800 | examples/s: 32.98 | loss: 0.26326 | time elapsed: 9.19h | time left: 6.94h
batch  81900 | examples/s: 28.24 | loss: 0.26906 | time elapsed: 9.20h | time left: 6.93h
batch  82000 | examples/s: 25.54 | loss: 0.26629 | time elapsed: 9.21h | time left: 6.92h
batch  82100 | examples/s: 28.76 | loss: 0.26189 | time elapsed: 9.22h | time left: 6.91h
batch  82200 | examples/s: 32.01 | loss: 0.26239 | time elapsed: 9.23h | time left: 6.89h
batch  82300 | examples/s: 33.08 | loss: 0.26803 | time elapsed: 9.24h | time left: 6.88h
batch  82400 | examples/s: 28.39 | loss: 0.26386 | time elapsed: 9.25h | time left: 6.87h
batch  82500 | examples/s: 31.83 | loss: 0.26523 | time elapsed: 9.26h | time left: 6.86h
batch  82600 | examples/s: 35.81 | loss: 0.26746 | time elapsed: 9.27h | time left: 6.85h
batch  82700 | examples/s: 27.92 | loss: 0.26465 | time elapsed: 9.29h | time left: 6.84h
batch  82800 | examples/s: 26.07 | loss: 0.26216 | time elapsed: 9.30h | time left: 6.83h
batch  82900 | examples/s: 28.23 | loss: 0.25985 | time elapsed: 9.31h | time left: 6.81h
batch  83000 | examples/s: 29.33 | loss: 0.26652 | time elapsed: 9.32h | time left: 6.80h
batch  83100 | examples/s: 28.48 | loss: 0.27384 | time elapsed: 9.33h | time left: 6.79h
batch  83200 | examples/s: 33.05 | loss: 0.26365 | time elapsed: 9.34h | time left: 6.78h
epoch  28 | val loss: 0.33300 | time cost: 20.08 s |
batch  83300 | examples/s: 25.97 | loss: 0.27991 | time elapsed: 9.36h | time left: 6.77h
batch  83400 | examples/s: 29.08 | loss: 0.26461 | time elapsed: 9.37h | time left: 6.76h
batch  83500 | examples/s: 31.42 | loss: 0.26332 | time elapsed: 9.38h | time left: 6.75h
batch  83600 | examples/s: 33.23 | loss: 0.26360 | time elapsed: 9.39h | time left: 6.74h
batch  83700 | examples/s: 29.43 | loss: 0.25799 | time elapsed: 9.40h | time left: 6.73h
batch  83800 | examples/s: 32.93 | loss: 0.26396 | time elapsed: 9.41h | time left: 6.72h
batch  83900 | examples/s: 26.43 | loss: 0.26065 | time elapsed: 9.42h | time left: 6.71h
batch  84000 | examples/s: 33.39 | loss: 0.26660 | time elapsed: 9.43h | time left: 6.69h
batch  84100 | examples/s: 34.59 | loss: 0.26547 | time elapsed: 9.45h | time left: 6.68h
batch  84200 | examples/s: 29.38 | loss: 0.26666 | time elapsed: 9.46h | time left: 6.67h
batch  84300 | examples/s: 29.24 | loss: 0.26673 | time elapsed: 9.47h | time left: 6.66h
batch  84400 | examples/s: 33.81 | loss: 0.25597 | time elapsed: 9.48h | time left: 6.65h
batch  84500 | examples/s: 32.83 | loss: 0.25608 | time elapsed: 9.49h | time left: 6.64h
batch  84600 | examples/s: 31.64 | loss: 0.25875 | time elapsed: 9.50h | time left: 6.63h
batch  84700 | examples/s: 33.06 | loss: 0.26440 | time elapsed: 9.51h | time left: 6.62h
batch  84800 | examples/s: 33.11 | loss: 0.26408 | time elapsed: 9.52h | time left: 6.60h
batch  84900 | examples/s: 28.68 | loss: 0.26506 | time elapsed: 9.53h | time left: 6.59h
batch  85000 | examples/s: 32.94 | loss: 0.26239 | time elapsed: 9.55h | time left: 6.58h
batch  85100 | examples/s: 28.98 | loss: 0.26556 | time elapsed: 9.56h | time left: 6.57h
batch  85200 | examples/s: 33.00 | loss: 0.26394 | time elapsed: 9.57h | time left: 6.56h
batch  85300 | examples/s: 28.01 | loss: 0.26413 | time elapsed: 9.58h | time left: 6.55h
batch  85400 | examples/s: 23.87 | loss: 0.25927 | time elapsed: 9.59h | time left: 6.54h
batch  85500 | examples/s: 25.01 | loss: 0.25929 | time elapsed: 9.60h | time left: 6.52h
batch  85600 | examples/s: 28.62 | loss: 0.26482 | time elapsed: 9.61h | time left: 6.51h
batch  85700 | examples/s: 33.00 | loss: 0.26061 | time elapsed: 9.62h | time left: 6.50h
batch  85800 | examples/s: 32.98 | loss: 0.26420 | time elapsed: 9.63h | time left: 6.49h
batch  85900 | examples/s: 32.65 | loss: 0.26719 | time elapsed: 9.65h | time left: 6.48h
batch  86000 | examples/s: 25.19 | loss: 0.26020 | time elapsed: 9.66h | time left: 6.47h
batch  86100 | examples/s: 32.97 | loss: 0.26097 | time elapsed: 9.67h | time left: 6.46h
epoch  29 | val loss: 0.32872 | time cost: 19.50 s |
batch  86200 | examples/s: 33.11 | loss: 0.26216 | time elapsed: 9.68h | time left: 6.45h
batch  86300 | examples/s: 30.36 | loss: 0.25544 | time elapsed: 9.70h | time left: 6.44h
batch  86400 | examples/s: 20.90 | loss: 0.25916 | time elapsed: 9.71h | time left: 6.43h
batch  86500 | examples/s: 29.11 | loss: 0.25498 | time elapsed: 9.72h | time left: 6.41h
batch  86600 | examples/s: 24.94 | loss: 0.26093 | time elapsed: 9.73h | time left: 6.40h
batch  86700 | examples/s: 28.89 | loss: 0.24914 | time elapsed: 9.74h | time left: 6.39h
batch  86800 | examples/s: 28.45 | loss: 0.25964 | time elapsed: 9.75h | time left: 6.38h
batch  86900 | examples/s: 27.40 | loss: 0.25646 | time elapsed: 9.76h | time left: 6.37h
batch  87000 | examples/s: 33.08 | loss: 0.25097 | time elapsed: 9.77h | time left: 6.36h
batch  87100 | examples/s: 29.04 | loss: 0.25506 | time elapsed: 9.78h | time left: 6.35h
batch  87200 | examples/s: 22.70 | loss: 0.26528 | time elapsed: 9.79h | time left: 6.34h
batch  87300 | examples/s: 30.77 | loss: 0.25593 | time elapsed: 9.81h | time left: 6.32h
batch  87400 | examples/s: 33.41 | loss: 0.25666 | time elapsed: 9.82h | time left: 6.31h
batch  87500 | examples/s: 20.42 | loss: 0.24921 | time elapsed: 9.83h | time left: 6.30h
batch  87600 | examples/s: 32.95 | loss: 0.25740 | time elapsed: 9.84h | time left: 6.29h
batch  87700 | examples/s: 33.07 | loss: 0.25228 | time elapsed: 9.85h | time left: 6.28h
batch  87800 | examples/s: 33.09 | loss: 0.25254 | time elapsed: 9.86h | time left: 6.27h
batch  87900 | examples/s: 32.97 | loss: 0.25387 | time elapsed: 9.87h | time left: 6.25h
batch  88000 | examples/s: 28.81 | loss: 0.25699 | time elapsed: 9.88h | time left: 6.24h
batch  88100 | examples/s: 27.83 | loss: 0.25217 | time elapsed: 9.89h | time left: 6.23h
batch  88200 | examples/s: 32.03 | loss: 0.25016 | time elapsed: 9.90h | time left: 6.22h
batch  88300 | examples/s: 33.14 | loss: 0.25318 | time elapsed: 9.91h | time left: 6.21h
batch  88400 | examples/s: 33.08 | loss: 0.25753 | time elapsed: 9.93h | time left: 6.20h
batch  88500 | examples/s: 33.12 | loss: 0.25753 | time elapsed: 9.94h | time left: 6.19h
batch  88600 | examples/s: 23.52 | loss: 0.25273 | time elapsed: 9.95h | time left: 6.18h
batch  88700 | examples/s: 33.91 | loss: 0.25463 | time elapsed: 9.96h | time left: 6.16h
batch  88800 | examples/s: 34.98 | loss: 0.25224 | time elapsed: 9.97h | time left: 6.15h
batch  88900 | examples/s: 29.42 | loss: 0.25394 | time elapsed: 9.98h | time left: 6.14h
batch  89000 | examples/s: 28.49 | loss: 0.25230 | time elapsed: 9.99h | time left: 6.13h
epoch  30 | val loss: 0.32578 | time cost: 19.06 s |
batch  89100 | examples/s: 31.64 | loss: 0.25424 | time elapsed: 10.01h | time left: 6.12h
batch  89200 | examples/s: 32.92 | loss: 0.24741 | time elapsed: 10.02h | time left: 6.11h
batch  89300 | examples/s: 32.53 | loss: 0.25329 | time elapsed: 10.03h | time left: 6.10h
batch  89400 | examples/s: 29.84 | loss: 0.25153 | time elapsed: 10.04h | time left: 6.09h
batch  89500 | examples/s: 28.22 | loss: 0.25389 | time elapsed: 10.05h | time left: 6.08h
batch  89600 | examples/s: 28.55 | loss: 0.24960 | time elapsed: 10.06h | time left: 6.06h
batch  89700 | examples/s: 29.18 | loss: 0.25332 | time elapsed: 10.07h | time left: 6.05h
batch  89800 | examples/s: 31.86 | loss: 0.24915 | time elapsed: 10.09h | time left: 6.04h
batch  89900 | examples/s: 30.61 | loss: 0.25560 | time elapsed: 10.10h | time left: 6.03h
batch  90000 | examples/s: 33.20 | loss: 0.24877 | time elapsed: 10.11h | time left: 6.02h
batch  90100 | examples/s: 36.86 | loss: 0.24552 | time elapsed: 10.12h | time left: 6.01h
batch  90200 | examples/s: 27.78 | loss: 0.25561 | time elapsed: 10.13h | time left: 6.00h
batch  90300 | examples/s: 33.01 | loss: 0.25204 | time elapsed: 10.14h | time left: 5.98h
batch  90400 | examples/s: 28.66 | loss: 0.25196 | time elapsed: 10.15h | time left: 5.97h
batch  90500 | examples/s: 29.86 | loss: 0.25104 | time elapsed: 10.16h | time left: 5.96h
batch  90600 | examples/s: 29.20 | loss: 0.25219 | time elapsed: 10.17h | time left: 5.95h
batch  90700 | examples/s: 30.34 | loss: 0.25889 | time elapsed: 10.18h | time left: 5.94h
batch  90800 | examples/s: 29.95 | loss: 0.25013 | time elapsed: 10.19h | time left: 5.93h
batch  90900 | examples/s: 31.68 | loss: 0.24750 | time elapsed: 10.21h | time left: 5.92h
batch  91000 | examples/s: 15.90 | loss: 0.25306 | time elapsed: 10.22h | time left: 5.91h
batch  91100 | examples/s: 32.78 | loss: 0.24658 | time elapsed: 10.23h | time left: 5.90h
batch  91200 | examples/s: 28.70 | loss: 0.24988 | time elapsed: 10.24h | time left: 5.88h
batch  91300 | examples/s: 28.28 | loss: 0.25054 | time elapsed: 10.25h | time left: 5.87h
batch  91400 | examples/s: 33.01 | loss: 0.24528 | time elapsed: 10.26h | time left: 5.86h
batch  91500 | examples/s: 32.75 | loss: 0.24880 | time elapsed: 10.27h | time left: 5.85h
batch  91600 | examples/s: 30.07 | loss: 0.25055 | time elapsed: 10.28h | time left: 5.84h
batch  91700 | examples/s: 6.63 | loss: 0.24610 | time elapsed: 10.30h | time left: 5.83h
batch  91800 | examples/s: 33.25 | loss: 0.24755 | time elapsed: 10.33h | time left: 5.83h
batch  91900 | examples/s: 38.41 | loss: 0.25169 | time elapsed: 10.34h | time left: 5.82h
epoch  31 | val loss: 0.32735 | time cost: 19.19 s |
batch  92000 | examples/s: 33.14 | loss: 0.24874 | time elapsed: 10.36h | time left: 5.81h
batch  92100 | examples/s: 31.58 | loss: 0.24913 | time elapsed: 10.37h | time left: 5.80h
batch  92200 | examples/s: 30.46 | loss: 0.24731 | time elapsed: 10.38h | time left: 5.79h
batch  92300 | examples/s: 29.18 | loss: 0.24718 | time elapsed: 10.39h | time left: 5.78h
batch  92400 | examples/s: 31.68 | loss: 0.24688 | time elapsed: 10.41h | time left: 5.77h
batch  92500 | examples/s: 33.05 | loss: 0.24943 | time elapsed: 10.42h | time left: 5.75h
batch  92600 | examples/s: 33.14 | loss: 0.24760 | time elapsed: 10.43h | time left: 5.74h
batch  92700 | examples/s: 35.77 | loss: 0.24689 | time elapsed: 10.44h | time left: 5.73h
batch  92800 | examples/s: 27.96 | loss: 0.24538 | time elapsed: 10.45h | time left: 5.72h
batch  92900 | examples/s: 32.99 | loss: 0.24706 | time elapsed: 10.46h | time left: 5.71h
batch  93000 | examples/s: 34.53 | loss: 0.24785 | time elapsed: 10.47h | time left: 5.70h
batch  93100 | examples/s: 28.70 | loss: 0.24631 | time elapsed: 10.48h | time left: 5.69h
batch  93200 | examples/s: 33.19 | loss: 0.24855 | time elapsed: 10.49h | time left: 5.67h
batch  93300 | examples/s: 28.43 | loss: 0.25252 | time elapsed: 10.50h | time left: 5.66h
batch  93400 | examples/s: 29.20 | loss: 0.24731 | time elapsed: 10.51h | time left: 5.65h
batch  93500 | examples/s: 31.07 | loss: 0.25471 | time elapsed: 10.53h | time left: 5.64h
batch  93600 | examples/s: 33.04 | loss: 0.24374 | time elapsed: 10.54h | time left: 5.63h
batch  93700 | examples/s: 33.02 | loss: 0.25089 | time elapsed: 10.55h | time left: 5.62h
batch  93800 | examples/s: 19.70 | loss: 0.24911 | time elapsed: 10.56h | time left: 5.61h
batch  93900 | examples/s: 33.03 | loss: 0.24957 | time elapsed: 10.57h | time left: 5.59h
batch  94000 | examples/s: 33.08 | loss: 0.24580 | time elapsed: 10.58h | time left: 5.58h
batch  94100 | examples/s: 33.06 | loss: 0.25183 | time elapsed: 10.59h | time left: 5.57h
batch  94200 | examples/s: 29.77 | loss: 0.25140 | time elapsed: 10.60h | time left: 5.56h
batch  94300 | examples/s: 33.22 | loss: 0.24310 | time elapsed: 10.61h | time left: 5.55h
batch  94400 | examples/s: 33.05 | loss: 0.24892 | time elapsed: 10.62h | time left: 5.54h
batch  94500 | examples/s: 25.59 | loss: 0.25101 | time elapsed: 10.64h | time left: 5.53h
batch  94600 | examples/s: 28.29 | loss: 0.25081 | time elapsed: 10.65h | time left: 5.51h
batch  94700 | examples/s: 33.20 | loss: 0.24877 | time elapsed: 10.66h | time left: 5.50h
epoch  32 | val loss: 0.32405 | time cost: 19.63 s |
batch  94800 | examples/s: 35.28 | loss: 0.25939 | time elapsed: 10.67h | time left: 5.49h
batch  94900 | examples/s: 32.89 | loss: 0.25225 | time elapsed: 10.69h | time left: 5.48h
batch  95000 | examples/s: 29.02 | loss: 0.24497 | time elapsed: 10.70h | time left: 5.47h
batch  95100 | examples/s: 34.85 | loss: 0.24606 | time elapsed: 10.71h | time left: 5.46h
batch  95200 | examples/s: 33.04 | loss: 0.24560 | time elapsed: 10.72h | time left: 5.45h
batch  95300 | examples/s: 32.92 | loss: 0.24611 | time elapsed: 10.73h | time left: 5.44h
batch  95400 | examples/s: 34.25 | loss: 0.25138 | time elapsed: 10.74h | time left: 5.43h
batch  95500 | examples/s: 32.86 | loss: 0.24619 | time elapsed: 10.75h | time left: 5.42h
batch  95600 | examples/s: 27.96 | loss: 0.25031 | time elapsed: 10.76h | time left: 5.40h
batch  95700 | examples/s: 30.27 | loss: 0.24789 | time elapsed: 10.77h | time left: 5.39h
batch  95800 | examples/s: 33.12 | loss: 0.24700 | time elapsed: 10.78h | time left: 5.38h
batch  95900 | examples/s: 28.50 | loss: 0.24953 | time elapsed: 10.80h | time left: 5.37h
batch  96000 | examples/s: 28.53 | loss: 0.24877 | time elapsed: 10.81h | time left: 5.36h
batch  96100 | examples/s: 32.93 | loss: 0.24526 | time elapsed: 10.82h | time left: 5.35h
batch  96200 | examples/s: 32.89 | loss: 0.24900 | time elapsed: 10.83h | time left: 5.34h
batch  96300 | examples/s: 33.06 | loss: 0.24475 | time elapsed: 10.84h | time left: 5.32h
batch  96400 | examples/s: 29.24 | loss: 0.24375 | time elapsed: 10.85h | time left: 5.31h
batch  96500 | examples/s: 36.49 | loss: 0.24638 | time elapsed: 10.86h | time left: 5.30h
batch  96600 | examples/s: 33.02 | loss: 0.24823 | time elapsed: 10.87h | time left: 5.29h
batch  96700 | examples/s: 31.03 | loss: 0.24421 | time elapsed: 10.88h | time left: 5.28h
batch  96800 | examples/s: 32.82 | loss: 0.24584 | time elapsed: 10.89h | time left: 5.27h
batch  96900 | examples/s: 33.61 | loss: 0.24726 | time elapsed: 10.91h | time left: 5.26h
batch  97000 | examples/s: 35.13 | loss: 0.24824 | time elapsed: 10.92h | time left: 5.24h
batch  97100 | examples/s: 30.79 | loss: 0.24897 | time elapsed: 10.93h | time left: 5.23h
batch  97200 | examples/s: 22.92 | loss: 0.24243 | time elapsed: 10.94h | time left: 5.22h
batch  97300 | examples/s: 33.10 | loss: 0.24057 | time elapsed: 10.95h | time left: 5.21h
batch  97400 | examples/s: 33.08 | loss: 0.25410 | time elapsed: 10.96h | time left: 5.20h
batch  97500 | examples/s: 27.00 | loss: 0.24473 | time elapsed: 10.97h | time left: 5.19h
batch  97600 | examples/s: 34.47 | loss: 0.24624 | time elapsed: 10.98h | time left: 5.18h
epoch  33 | val loss: 0.32686 | time cost: 18.94 s |
batch  97700 | examples/s: 33.03 | loss: 0.25320 | time elapsed: 11.00h | time left: 5.17h
batch  97800 | examples/s: 24.64 | loss: 0.24704 | time elapsed: 11.01h | time left: 5.16h
batch  97900 | examples/s: 36.07 | loss: 0.24241 | time elapsed: 11.02h | time left: 5.14h
batch  98000 | examples/s: 28.75 | loss: 0.24062 | time elapsed: 11.03h | time left: 5.13h
batch  98100 | examples/s: 28.95 | loss: 0.24287 | time elapsed: 11.04h | time left: 5.12h
batch  98200 | examples/s: 35.21 | loss: 0.24414 | time elapsed: 11.05h | time left: 5.11h
batch  98300 | examples/s: 28.42 | loss: 0.24742 | time elapsed: 11.06h | time left: 5.10h
batch  98400 | examples/s: 28.28 | loss: 0.24719 | time elapsed: 11.08h | time left: 5.09h
batch  98500 | examples/s: 29.48 | loss: 0.25142 | time elapsed: 11.09h | time left: 5.08h
batch  98600 | examples/s: 29.92 | loss: 0.24533 | time elapsed: 11.10h | time left: 5.06h
batch  98700 | examples/s: 29.25 | loss: 0.24423 | time elapsed: 11.11h | time left: 5.05h
batch  98800 | examples/s: 35.17 | loss: 0.24854 | time elapsed: 11.12h | time left: 5.04h
batch  98900 | examples/s: 30.54 | loss: 0.24604 | time elapsed: 11.13h | time left: 5.03h
batch  99000 | examples/s: 24.21 | loss: 0.24665 | time elapsed: 11.14h | time left: 5.02h
batch  99100 | examples/s: 26.72 | loss: 0.24257 | time elapsed: 11.15h | time left: 5.01h
batch  99200 | examples/s: 33.21 | loss: 0.24863 | time elapsed: 11.16h | time left: 5.00h
batch  99300 | examples/s: 27.94 | loss: 0.24743 | time elapsed: 11.17h | time left: 4.99h
batch  99400 | examples/s: 33.17 | loss: 0.24917 | time elapsed: 11.19h | time left: 4.97h
batch  99500 | examples/s: 33.25 | loss: 0.24348 | time elapsed: 11.20h | time left: 4.96h
batch  99600 | examples/s: 36.18 | loss: 0.25156 | time elapsed: 11.21h | time left: 4.95h
batch  99700 | examples/s: 23.67 | loss: 0.24655 | time elapsed: 11.22h | time left: 4.94h
batch  99800 | examples/s: 32.78 | loss: 0.24344 | time elapsed: 11.23h | time left: 4.93h
batch  99900 | examples/s: 27.70 | loss: 0.24972 | time elapsed: 11.24h | time left: 4.92h
batch 100000 | examples/s: 32.86 | loss: 0.24349 | time elapsed: 11.25h | time left: 4.91h
batch 100100 | examples/s: 27.77 | loss: 0.24783 | time elapsed: 11.26h | time left: 4.89h
batch 100200 | examples/s: 27.95 | loss: 0.24533 | time elapsed: 11.27h | time left: 4.88h
batch 100300 | examples/s: 33.21 | loss: 0.24322 | time elapsed: 11.28h | time left: 4.87h
batch 100400 | examples/s: 31.72 | loss: 0.24310 | time elapsed: 11.30h | time left: 4.86h
batch 100500 | examples/s: 28.87 | loss: 0.24905 | time elapsed: 11.31h | time left: 4.85h
epoch  34 | val loss: 0.32632 | time cost: 19.37 s |
batch 100600 | examples/s: 32.44 | loss: 0.24386 | time elapsed: 11.32h | time left: 4.84h
batch 100700 | examples/s: 33.07 | loss: 0.24660 | time elapsed: 11.33h | time left: 4.83h
batch 100800 | examples/s: 28.37 | loss: 0.24713 | time elapsed: 11.35h | time left: 4.82h
batch 100900 | examples/s: 28.64 | loss: 0.24171 | time elapsed: 11.36h | time left: 4.81h
batch 101000 | examples/s: 34.36 | loss: 0.24127 | time elapsed: 11.37h | time left: 4.79h
batch 101100 | examples/s: 33.13 | loss: 0.24541 | time elapsed: 11.38h | time left: 4.78h
batch 101200 | examples/s: 29.34 | loss: 0.24517 | time elapsed: 11.39h | time left: 4.77h
batch 101300 | examples/s: 25.98 | loss: 0.24706 | time elapsed: 11.40h | time left: 4.76h
batch 101400 | examples/s: 29.68 | loss: 0.24396 | time elapsed: 11.41h | time left: 4.75h
batch 101500 | examples/s: 23.29 | loss: 0.24275 | time elapsed: 11.42h | time left: 4.74h
batch 101600 | examples/s: 31.41 | loss: 0.23998 | time elapsed: 11.43h | time left: 4.73h
batch 101700 | examples/s: 32.97 | loss: 0.24382 | time elapsed: 11.44h | time left: 4.71h
batch 101800 | examples/s: 33.20 | loss: 0.24362 | time elapsed: 11.45h | time left: 4.70h
batch 101900 | examples/s: 33.13 | loss: 0.24683 | time elapsed: 11.47h | time left: 4.69h
batch 102000 | examples/s: 23.28 | loss: 0.24679 | time elapsed: 11.48h | time left: 4.68h
batch 102100 | examples/s: 32.98 | loss: 0.24597 | time elapsed: 11.49h | time left: 4.67h
batch 102200 | examples/s: 24.50 | loss: 0.24673 | time elapsed: 11.50h | time left: 4.66h
batch 102300 | examples/s: 33.29 | loss: 0.23886 | time elapsed: 11.51h | time left: 4.65h
batch 102400 | examples/s: 33.14 | loss: 0.24346 | time elapsed: 11.52h | time left: 4.64h
batch 102500 | examples/s: 28.92 | loss: 0.24738 | time elapsed: 11.53h | time left: 4.62h
batch 102600 | examples/s: 34.35 | loss: 0.24397 | time elapsed: 11.54h | time left: 4.61h
batch 102700 | examples/s: 25.03 | loss: 0.24740 | time elapsed: 11.55h | time left: 4.60h
batch 102800 | examples/s: 33.00 | loss: 0.24068 | time elapsed: 11.56h | time left: 4.59h
batch 102900 | examples/s: 32.94 | loss: 0.23986 | time elapsed: 11.58h | time left: 4.58h
batch 103000 | examples/s: 33.14 | loss: 0.24099 | time elapsed: 11.59h | time left: 4.57h
batch 103100 | examples/s: 32.95 | loss: 0.25029 | time elapsed: 11.60h | time left: 4.56h
batch 103200 | examples/s: 31.58 | loss: 0.24668 | time elapsed: 11.61h | time left: 4.54h
batch 103300 | examples/s: 33.13 | loss: 0.24171 | time elapsed: 11.62h | time left: 4.53h
epoch  35 | val loss: 0.32570 | time cost: 18.87 s |
batch 103400 | examples/s: 25.39 | loss: 0.24927 | time elapsed: 11.64h | time left: 4.52h
batch 103500 | examples/s: 28.43 | loss: 0.24363 | time elapsed: 11.65h | time left: 4.51h
batch 103600 | examples/s: 28.55 | loss: 0.23992 | time elapsed: 11.66h | time left: 4.50h
batch 103700 | examples/s: 35.34 | loss: 0.24851 | time elapsed: 11.67h | time left: 4.49h
batch 103800 | examples/s: 28.34 | loss: 0.24212 | time elapsed: 11.68h | time left: 4.48h
batch 103900 | examples/s: 32.72 | loss: 0.24376 | time elapsed: 11.69h | time left: 4.47h
batch 104000 | examples/s: 33.06 | loss: 0.24010 | time elapsed: 11.70h | time left: 4.46h
batch 104100 | examples/s: 29.61 | loss: 0.24214 | time elapsed: 11.71h | time left: 4.44h
batch 104200 | examples/s: 29.69 | loss: 0.24331 | time elapsed: 11.72h | time left: 4.43h
batch 104300 | examples/s: 31.69 | loss: 0.24528 | time elapsed: 11.74h | time left: 4.42h
batch 104400 | examples/s: 28.00 | loss: 0.24342 | time elapsed: 11.75h | time left: 4.41h
batch 104500 | examples/s: 29.29 | loss: 0.24555 | time elapsed: 11.76h | time left: 4.40h
batch 104600 | examples/s: 33.23 | loss: 0.24546 | time elapsed: 11.77h | time left: 4.39h
batch 104700 | examples/s: 22.39 | loss: 0.23791 | time elapsed: 11.78h | time left: 4.38h
batch 104800 | examples/s: 27.79 | loss: 0.23851 | time elapsed: 11.79h | time left: 4.37h
batch 104900 | examples/s: 33.12 | loss: 0.24118 | time elapsed: 11.80h | time left: 4.35h
batch 105000 | examples/s: 28.33 | loss: 0.24377 | time elapsed: 11.81h | time left: 4.34h
batch 105100 | examples/s: 30.14 | loss: 0.24123 | time elapsed: 11.82h | time left: 4.33h
batch 105200 | examples/s: 31.66 | loss: 0.24449 | time elapsed: 11.83h | time left: 4.32h
batch 105300 | examples/s: 33.08 | loss: 0.24336 | time elapsed: 11.85h | time left: 4.31h
batch 105400 | examples/s: 29.08 | loss: 0.24240 | time elapsed: 11.86h | time left: 4.30h
batch 105500 | examples/s: 30.12 | loss: 0.23692 | time elapsed: 11.87h | time left: 4.29h
batch 105600 | examples/s: 33.07 | loss: 0.23993 | time elapsed: 11.88h | time left: 4.27h
batch 105700 | examples/s: 33.13 | loss: 0.23679 | time elapsed: 11.89h | time left: 4.26h
batch 105800 | examples/s: 32.93 | loss: 0.24088 | time elapsed: 11.90h | time left: 4.25h
batch 105900 | examples/s: 28.83 | loss: 0.24953 | time elapsed: 11.91h | time left: 4.24h
batch 106000 | examples/s: 29.15 | loss: 0.24311 | time elapsed: 11.92h | time left: 4.23h
batch 106100 | examples/s: 32.55 | loss: 0.24317 | time elapsed: 11.93h | time left: 4.22h
batch 106200 | examples/s: 33.25 | loss: 0.24725 | time elapsed: 11.94h | time left: 4.21h
epoch  36 | val loss: 0.32705 | time cost: 19.28 s |
batch 106300 | examples/s: 27.33 | loss: 0.23860 | time elapsed: 11.96h | time left: 4.20h
batch 106400 | examples/s: 34.48 | loss: 0.24027 | time elapsed: 11.97h | time left: 4.19h
batch 106500 | examples/s: 32.79 | loss: 0.24527 | time elapsed: 11.98h | time left: 4.17h
batch 106600 | examples/s: 33.25 | loss: 0.24278 | time elapsed: 11.99h | time left: 4.16h
batch 106700 | examples/s: 33.12 | loss: 0.24174 | time elapsed: 12.00h | time left: 4.15h
batch 106800 | examples/s: 22.00 | loss: 0.24222 | time elapsed: 12.02h | time left: 4.14h
batch 106900 | examples/s: 8.06 | loss: 0.23778 | time elapsed: 12.03h | time left: 4.13h
batch 107000 | examples/s: 38.89 | loss: 0.23922 | time elapsed: 12.07h | time left: 4.13h
batch 107100 | examples/s: 28.25 | loss: 0.24345 | time elapsed: 12.08h | time left: 4.12h
batch 107200 | examples/s: 29.16 | loss: 0.23494 | time elapsed: 12.09h | time left: 4.11h
batch 107300 | examples/s: 29.28 | loss: 0.24236 | time elapsed: 12.10h | time left: 4.09h
batch 107400 | examples/s: 30.95 | loss: 0.24803 | time elapsed: 12.11h | time left: 4.08h
batch 107500 | examples/s: 29.59 | loss: 0.23996 | time elapsed: 12.12h | time left: 4.07h
batch 107600 | examples/s: 33.04 | loss: 0.24090 | time elapsed: 12.13h | time left: 4.06h
batch 107700 | examples/s: 33.10 | loss: 0.24473 | time elapsed: 12.14h | time left: 4.05h
batch 107800 | examples/s: 29.65 | loss: 0.24523 | time elapsed: 12.16h | time left: 4.04h
batch 107900 | examples/s: 33.06 | loss: 0.24050 | time elapsed: 12.17h | time left: 4.03h
batch 108000 | examples/s: 29.94 | loss: 0.24270 | time elapsed: 12.18h | time left: 4.01h
batch 108100 | examples/s: 24.34 | loss: 0.24311 | time elapsed: 12.19h | time left: 4.00h
batch 108200 | examples/s: 36.08 | loss: 0.24880 | time elapsed: 12.20h | time left: 3.99h
batch 108300 | examples/s: 33.06 | loss: 0.24107 | time elapsed: 12.21h | time left: 3.98h
batch 108400 | examples/s: 28.18 | loss: 0.23395 | time elapsed: 12.22h | time left: 3.97h
batch 108500 | examples/s: 35.92 | loss: 0.24372 | time elapsed: 12.23h | time left: 3.96h
batch 108600 | examples/s: 33.04 | loss: 0.24073 | time elapsed: 12.24h | time left: 3.95h
batch 108700 | examples/s: 27.99 | loss: 0.24637 | time elapsed: 12.25h | time left: 3.93h
batch 108800 | examples/s: 29.63 | loss: 0.23929 | time elapsed: 12.27h | time left: 3.92h
batch 108900 | examples/s: 32.46 | loss: 0.24065 | time elapsed: 12.28h | time left: 3.91h
batch 109000 | examples/s: 21.37 | loss: 0.24072 | time elapsed: 12.29h | time left: 3.90h
batch 109100 | examples/s: 31.69 | loss: 0.24297 | time elapsed: 12.30h | time left: 3.89h
epoch  37 | val loss: 0.32502 | time cost: 19.57 s |
batch 109200 | examples/s: 33.05 | loss: 0.24983 | time elapsed: 12.32h | time left: 3.88h
batch 109300 | examples/s: 33.10 | loss: 0.24139 | time elapsed: 12.33h | time left: 3.87h
batch 109400 | examples/s: 29.67 | loss: 0.23916 | time elapsed: 12.34h | time left: 3.86h
batch 109500 | examples/s: 32.87 | loss: 0.23718 | time elapsed: 12.35h | time left: 3.85h
batch 109600 | examples/s: 30.10 | loss: 0.23676 | time elapsed: 12.36h | time left: 3.83h
batch 109700 | examples/s: 29.21 | loss: 0.24074 | time elapsed: 12.37h | time left: 3.82h
batch 109800 | examples/s: 33.04 | loss: 0.24245 | time elapsed: 12.38h | time left: 3.81h
batch 109900 | examples/s: 29.24 | loss: 0.24271 | time elapsed: 12.39h | time left: 3.80h
batch 110000 | examples/s: 33.09 | loss: 0.23853 | time elapsed: 12.40h | time left: 3.79h
batch 110100 | examples/s: 25.44 | loss: 0.24473 | time elapsed: 12.41h | time left: 3.78h
batch 110200 | examples/s: 26.21 | loss: 0.23834 | time elapsed: 12.43h | time left: 3.77h
batch 110300 | examples/s: 28.24 | loss: 0.24228 | time elapsed: 12.44h | time left: 3.75h
batch 110400 | examples/s: 33.07 | loss: 0.23875 | time elapsed: 12.45h | time left: 3.74h
batch 110500 | examples/s: 29.75 | loss: 0.24359 | time elapsed: 12.46h | time left: 3.73h
batch 110600 | examples/s: 21.30 | loss: 0.23768 | time elapsed: 12.47h | time left: 3.72h
batch 110700 | examples/s: 30.20 | loss: 0.24133 | time elapsed: 12.48h | time left: 3.71h
batch 110800 | examples/s: 35.68 | loss: 0.24058 | time elapsed: 12.49h | time left: 3.70h
batch 110900 | examples/s: 24.60 | loss: 0.23744 | time elapsed: 12.50h | time left: 3.69h
batch 111000 | examples/s: 27.19 | loss: 0.24113 | time elapsed: 12.51h | time left: 3.67h
batch 111100 | examples/s: 32.91 | loss: 0.24128 | time elapsed: 12.52h | time left: 3.66h
batch 111200 | examples/s: 33.10 | loss: 0.23924 | time elapsed: 12.54h | time left: 3.65h
batch 111300 | examples/s: 36.22 | loss: 0.23990 | time elapsed: 12.55h | time left: 3.64h
batch 111400 | examples/s: 29.87 | loss: 0.24004 | time elapsed: 12.56h | time left: 3.63h
batch 111500 | examples/s: 32.55 | loss: 0.24200 | time elapsed: 12.57h | time left: 3.62h
batch 111600 | examples/s: 29.44 | loss: 0.24385 | time elapsed: 12.58h | time left: 3.61h
batch 111700 | examples/s: 30.33 | loss: 0.24003 | time elapsed: 12.59h | time left: 3.60h
batch 111800 | examples/s: 29.62 | loss: 0.24440 | time elapsed: 12.60h | time left: 3.58h
batch 111900 | examples/s: 25.24 | loss: 0.24129 | time elapsed: 12.61h | time left: 3.57h
batch 112000 | examples/s: 33.02 | loss: 0.23920 | time elapsed: 12.62h | time left: 3.56h
epoch  38 | val loss: 0.32484 | time cost: 19.21 s |
batch 112100 | examples/s: 26.76 | loss: 0.24347 | time elapsed: 12.64h | time left: 3.55h
batch 112200 | examples/s: 29.04 | loss: 0.24203 | time elapsed: 12.65h | time left: 3.54h
batch 112300 | examples/s: 33.14 | loss: 0.24517 | time elapsed: 12.66h | time left: 3.53h
batch 112400 | examples/s: 31.54 | loss: 0.24412 | time elapsed: 12.67h | time left: 3.52h
batch 112500 | examples/s: 26.30 | loss: 0.23847 | time elapsed: 12.68h | time left: 3.51h
batch 112600 | examples/s: 33.16 | loss: 0.24176 | time elapsed: 12.69h | time left: 3.49h
batch 112700 | examples/s: 30.26 | loss: 0.24716 | time elapsed: 12.71h | time left: 3.48h
batch 112800 | examples/s: 28.85 | loss: 0.23799 | time elapsed: 12.72h | time left: 3.47h
batch 112900 | examples/s: 33.03 | loss: 0.24460 | time elapsed: 12.73h | time left: 3.46h
batch 113000 | examples/s: 28.29 | loss: 0.23407 | time elapsed: 12.74h | time left: 3.45h
batch 113100 | examples/s: 33.26 | loss: 0.23935 | time elapsed: 12.75h | time left: 3.44h
batch 113200 | examples/s: 32.99 | loss: 0.24011 | time elapsed: 12.76h | time left: 3.43h
batch 113300 | examples/s: 29.12 | loss: 0.23274 | time elapsed: 12.77h | time left: 3.42h
batch 113400 | examples/s: 33.00 | loss: 0.23841 | time elapsed: 12.78h | time left: 3.40h
batch 113500 | examples/s: 29.79 | loss: 0.24220 | time elapsed: 12.79h | time left: 3.39h
batch 113600 | examples/s: 33.11 | loss: 0.23992 | time elapsed: 12.80h | time left: 3.38h
batch 113700 | examples/s: 32.76 | loss: 0.23984 | time elapsed: 12.81h | time left: 3.37h
batch 113800 | examples/s: 33.06 | loss: 0.23670 | time elapsed: 12.83h | time left: 3.36h
batch 113900 | examples/s: 24.79 | loss: 0.23990 | time elapsed: 12.84h | time left: 3.35h
batch 114000 | examples/s: 32.93 | loss: 0.23479 | time elapsed: 12.85h | time left: 3.34h
batch 114100 | examples/s: 29.22 | loss: 0.23312 | time elapsed: 12.86h | time left: 3.32h
batch 114200 | examples/s: 33.18 | loss: 0.23984 | time elapsed: 12.87h | time left: 3.31h
batch 114300 | examples/s: 29.85 | loss: 0.24545 | time elapsed: 12.88h | time left: 3.30h
batch 114400 | examples/s: 34.09 | loss: 0.24618 | time elapsed: 12.89h | time left: 3.29h
batch 114500 | examples/s: 33.36 | loss: 0.23549 | time elapsed: 12.90h | time left: 3.28h
batch 114600 | examples/s: 26.55 | loss: 0.24252 | time elapsed: 12.91h | time left: 3.27h
batch 114700 | examples/s: 33.89 | loss: 0.24016 | time elapsed: 12.93h | time left: 3.26h
batch 114800 | examples/s: 29.79 | loss: 0.23593 | time elapsed: 12.94h | time left: 3.25h
epoch  39 | val loss: 0.32321 | time cost: 18.50 s |
batch 114900 | examples/s: 29.53 | loss: 0.23616 | time elapsed: 12.95h | time left: 3.24h
batch 115000 | examples/s: 29.17 | loss: 0.23769 | time elapsed: 12.96h | time left: 3.22h
batch 115100 | examples/s: 33.67 | loss: 0.24293 | time elapsed: 12.98h | time left: 3.21h
batch 115200 | examples/s: 31.26 | loss: 0.23800 | time elapsed: 12.99h | time left: 3.20h
batch 115300 | examples/s: 33.20 | loss: 0.23387 | time elapsed: 13.00h | time left: 3.19h
batch 115400 | examples/s: 33.07 | loss: 0.23333 | time elapsed: 13.01h | time left: 3.18h
batch 115500 | examples/s: 32.07 | loss: 0.23623 | time elapsed: 13.02h | time left: 3.17h
batch 115600 | examples/s: 30.73 | loss: 0.23936 | time elapsed: 13.03h | time left: 3.16h
batch 115700 | examples/s: 32.65 | loss: 0.23797 | time elapsed: 13.04h | time left: 3.14h
batch 115800 | examples/s: 23.68 | loss: 0.23567 | time elapsed: 13.05h | time left: 3.13h
batch 115900 | examples/s: 33.23 | loss: 0.23361 | time elapsed: 13.06h | time left: 3.12h
batch 116000 | examples/s: 29.19 | loss: 0.23905 | time elapsed: 13.07h | time left: 3.11h
batch 116100 | examples/s: 32.93 | loss: 0.23293 | time elapsed: 13.08h | time left: 3.10h
batch 116200 | examples/s: 27.78 | loss: 0.23763 | time elapsed: 13.10h | time left: 3.09h
batch 116300 | examples/s: 32.96 | loss: 0.23238 | time elapsed: 13.11h | time left: 3.08h
batch 116400 | examples/s: 33.11 | loss: 0.23990 | time elapsed: 13.12h | time left: 3.07h
batch 116500 | examples/s: 33.08 | loss: 0.23382 | time elapsed: 13.13h | time left: 3.05h
batch 116600 | examples/s: 29.69 | loss: 0.23820 | time elapsed: 13.14h | time left: 3.04h
batch 116700 | examples/s: 24.89 | loss: 0.23911 | time elapsed: 13.15h | time left: 3.03h
batch 116800 | examples/s: 35.95 | loss: 0.23481 | time elapsed: 13.16h | time left: 3.02h
batch 116900 | examples/s: 33.03 | loss: 0.23769 | time elapsed: 13.17h | time left: 3.01h
batch 117000 | examples/s: 29.56 | loss: 0.23043 | time elapsed: 13.18h | time left: 3.00h
batch 117100 | examples/s: 33.06 | loss: 0.24009 | time elapsed: 13.19h | time left: 2.99h
batch 117200 | examples/s: 28.37 | loss: 0.24534 | time elapsed: 13.21h | time left: 2.97h
batch 117300 | examples/s: 33.09 | loss: 0.23908 | time elapsed: 13.22h | time left: 2.96h
batch 117400 | examples/s: 34.48 | loss: 0.23879 | time elapsed: 13.23h | time left: 2.95h
batch 117500 | examples/s: 31.40 | loss: 0.23508 | time elapsed: 13.24h | time left: 2.94h
batch 117600 | examples/s: 28.01 | loss: 0.23553 | time elapsed: 13.25h | time left: 2.93h
batch 117700 | examples/s: 28.01 | loss: 0.23814 | time elapsed: 13.26h | time left: 2.92h
epoch  40 | val loss: 0.32303 | time cost: 18.75 s |
batch 117800 | examples/s: 35.64 | loss: 0.23460 | time elapsed: 13.28h | time left: 2.91h
batch 117900 | examples/s: 28.79 | loss: 0.23852 | time elapsed: 13.29h | time left: 2.90h
batch 118000 | examples/s: 33.07 | loss: 0.23000 | time elapsed: 13.30h | time left: 2.89h
batch 118100 | examples/s: 24.65 | loss: 0.23386 | time elapsed: 13.31h | time left: 2.87h
batch 118200 | examples/s: 32.38 | loss: 0.23549 | time elapsed: 13.32h | time left: 2.86h
batch 118300 | examples/s: 33.18 | loss: 0.23077 | time elapsed: 13.33h | time left: 2.85h
batch 118400 | examples/s: 32.98 | loss: 0.23415 | time elapsed: 13.34h | time left: 2.84h
batch 118500 | examples/s: 33.89 | loss: 0.23425 | time elapsed: 13.35h | time left: 2.83h
batch 118600 | examples/s: 33.02 | loss: 0.22980 | time elapsed: 13.36h | time left: 2.82h
batch 118700 | examples/s: 32.93 | loss: 0.23625 | time elapsed: 13.38h | time left: 2.81h
batch 118800 | examples/s: 29.34 | loss: 0.23599 | time elapsed: 13.39h | time left: 2.79h
batch 118900 | examples/s: 29.07 | loss: 0.23214 | time elapsed: 13.40h | time left: 2.78h
batch 119000 | examples/s: 33.06 | loss: 0.23737 | time elapsed: 13.41h | time left: 2.77h
batch 119100 | examples/s: 19.75 | loss: 0.23662 | time elapsed: 13.42h | time left: 2.76h
batch 119200 | examples/s: 33.15 | loss: 0.23384 | time elapsed: 13.43h | time left: 2.75h
batch 119300 | examples/s: 34.01 | loss: 0.23766 | time elapsed: 13.44h | time left: 2.74h
batch 119400 | examples/s: 32.96 | loss: 0.23427 | time elapsed: 13.45h | time left: 2.73h
batch 119500 | examples/s: 33.19 | loss: 0.23777 | time elapsed: 13.46h | time left: 2.72h
batch 119600 | examples/s: 32.97 | loss: 0.23886 | time elapsed: 13.47h | time left: 2.70h
batch 119700 | examples/s: 32.93 | loss: 0.23712 | time elapsed: 13.48h | time left: 2.69h
batch 119800 | examples/s: 28.79 | loss: 0.23037 | time elapsed: 13.50h | time left: 2.68h
batch 119900 | examples/s: 29.89 | loss: 0.23430 | time elapsed: 13.51h | time left: 2.67h
batch 120000 | examples/s: 33.07 | loss: 0.23085 | time elapsed: 13.52h | time left: 2.66h
batch 120100 | examples/s: 33.67 | loss: 0.24065 | time elapsed: 13.53h | time left: 2.65h
batch 120200 | examples/s: 33.07 | loss: 0.23146 | time elapsed: 13.54h | time left: 2.64h
batch 120300 | examples/s: 28.39 | loss: 0.23350 | time elapsed: 13.55h | time left: 2.62h
batch 120400 | examples/s: 27.81 | loss: 0.23661 | time elapsed: 13.56h | time left: 2.61h
batch 120500 | examples/s: 34.95 | loss: 0.23693 | time elapsed: 13.57h | time left: 2.60h
batch 120600 | examples/s: 33.18 | loss: 0.23713 | time elapsed: 13.58h | time left: 2.59h
epoch  41 | val loss: 0.32320 | time cost: 18.59 s |
batch 120700 | examples/s: 33.12 | loss: 0.23114 | time elapsed: 13.60h | time left: 2.58h
batch 120800 | examples/s: 33.00 | loss: 0.23508 | time elapsed: 13.61h | time left: 2.57h
batch 120900 | examples/s: 28.79 | loss: 0.23837 | time elapsed: 13.62h | time left: 2.56h
batch 121000 | examples/s: 32.83 | loss: 0.23005 | time elapsed: 13.63h | time left: 2.55h
batch 121100 | examples/s: 33.24 | loss: 0.23569 | time elapsed: 13.64h | time left: 2.54h
batch 121200 | examples/s: 27.92 | loss: 0.23634 | time elapsed: 13.66h | time left: 2.52h
batch 121300 | examples/s: 26.42 | loss: 0.23623 | time elapsed: 13.67h | time left: 2.51h
batch 121400 | examples/s: 33.71 | loss: 0.23739 | time elapsed: 13.68h | time left: 2.50h
batch 121500 | examples/s: 28.10 | loss: 0.23384 | time elapsed: 13.69h | time left: 2.49h
batch 121600 | examples/s: 30.75 | loss: 0.23271 | time elapsed: 13.70h | time left: 2.48h
batch 121700 | examples/s: 33.02 | loss: 0.23029 | time elapsed: 13.71h | time left: 2.47h
batch 121800 | examples/s: 33.14 | loss: 0.23240 | time elapsed: 13.72h | time left: 2.46h
batch 121900 | examples/s: 28.13 | loss: 0.23514 | time elapsed: 13.73h | time left: 2.44h
batch 122000 | examples/s: 26.03 | loss: 0.23516 | time elapsed: 13.74h | time left: 2.43h
batch 122100 | examples/s: 27.01 | loss: 0.23335 | time elapsed: 13.75h | time left: 2.42h
batch 122200 | examples/s: 32.97 | loss: 0.23224 | time elapsed: 13.77h | time left: 2.41h
batch 122300 | examples/s: 20.16 | loss: 0.23739 | time elapsed: 13.78h | time left: 2.40h
batch 122400 | examples/s: 33.15 | loss: 0.23678 | time elapsed: 13.79h | time left: 2.39h
batch 122500 | examples/s: 33.00 | loss: 0.23352 | time elapsed: 13.80h | time left: 2.38h
batch 122600 | examples/s: 29.50 | loss: 0.23231 | time elapsed: 13.81h | time left: 2.37h
batch 122700 | examples/s: 28.95 | loss: 0.22879 | time elapsed: 13.82h | time left: 2.35h
batch 122800 | examples/s: 31.66 | loss: 0.23826 | time elapsed: 13.83h | time left: 2.34h
batch 122900 | examples/s: 29.16 | loss: 0.22940 | time elapsed: 13.84h | time left: 2.33h
batch 123000 | examples/s: 30.71 | loss: 0.23132 | time elapsed: 13.85h | time left: 2.32h
batch 123100 | examples/s: 30.49 | loss: 0.22984 | time elapsed: 13.86h | time left: 2.31h
batch 123200 | examples/s: 29.21 | loss: 0.23447 | time elapsed: 13.87h | time left: 2.30h
batch 123300 | examples/s: 33.13 | loss: 0.23326 | time elapsed: 13.89h | time left: 2.29h
batch 123400 | examples/s: 25.70 | loss: 0.22908 | time elapsed: 13.90h | time left: 2.27h
epoch  42 | val loss: 0.32248 | time cost: 19.40 s |
batch 123500 | examples/s: 33.01 | loss: 0.22622 | time elapsed: 13.91h | time left: 2.26h
batch 123600 | examples/s: 32.95 | loss: 0.23301 | time elapsed: 13.92h | time left: 2.25h
batch 123700 | examples/s: 32.96 | loss: 0.23342 | time elapsed: 13.93h | time left: 2.24h
batch 123800 | examples/s: 33.01 | loss: 0.23178 | time elapsed: 13.95h | time left: 2.23h
batch 123900 | examples/s: 26.58 | loss: 0.23552 | time elapsed: 13.96h | time left: 2.22h
batch 124000 | examples/s: 34.81 | loss: 0.23225 | time elapsed: 13.97h | time left: 2.21h
batch 124100 | examples/s: 32.73 | loss: 0.23255 | time elapsed: 13.98h | time left: 2.20h
batch 124200 | examples/s: 30.93 | loss: 0.23285 | time elapsed: 13.99h | time left: 2.19h
batch 124300 | examples/s: 35.78 | loss: 0.23190 | time elapsed: 14.00h | time left: 2.17h
batch 124400 | examples/s: 33.91 | loss: 0.23331 | time elapsed: 14.01h | time left: 2.16h
batch 124500 | examples/s: 34.47 | loss: 0.23257 | time elapsed: 14.02h | time left: 2.15h
batch 124600 | examples/s: 34.77 | loss: 0.23733 | time elapsed: 14.03h | time left: 2.14h
batch 124700 | examples/s: 27.76 | loss: 0.23241 | time elapsed: 14.05h | time left: 2.13h
batch 124800 | examples/s: 33.32 | loss: 0.23443 | time elapsed: 14.06h | time left: 2.12h
batch 124900 | examples/s: 28.18 | loss: 0.23366 | time elapsed: 14.07h | time left: 2.11h
batch 125000 | examples/s: 28.23 | loss: 0.23523 | time elapsed: 14.08h | time left: 2.09h
batch 125100 | examples/s: 28.82 | loss: 0.23271 | time elapsed: 14.09h | time left: 2.08h
batch 125200 | examples/s: 36.88 | loss: 0.23427 | time elapsed: 14.10h | time left: 2.07h
batch 125300 | examples/s: 33.16 | loss: 0.23405 | time elapsed: 14.11h | time left: 2.06h
batch 125400 | examples/s: 25.98 | loss: 0.22697 | time elapsed: 14.12h | time left: 2.05h
batch 125500 | examples/s: 33.05 | loss: 0.23196 | time elapsed: 14.13h | time left: 2.04h
batch 125600 | examples/s: 33.08 | loss: 0.23306 | time elapsed: 14.14h | time left: 2.03h
batch 125700 | examples/s: 22.75 | loss: 0.23214 | time elapsed: 14.16h | time left: 2.02h
batch 125800 | examples/s: 28.68 | loss: 0.23746 | time elapsed: 14.17h | time left: 2.00h
batch 125900 | examples/s: 29.25 | loss: 0.23470 | time elapsed: 14.18h | time left: 1.99h
batch 126000 | examples/s: 32.79 | loss: 0.23489 | time elapsed: 14.19h | time left: 1.98h
batch 126100 | examples/s: 33.20 | loss: 0.22927 | time elapsed: 14.20h | time left: 1.97h
batch 126200 | examples/s: 25.31 | loss: 0.23377 | time elapsed: 14.21h | time left: 1.96h
batch 126300 | examples/s: 29.61 | loss: 0.22922 | time elapsed: 14.22h | time left: 1.95h
epoch  43 | val loss: 0.32370 | time cost: 19.17 s |
batch 126400 | examples/s: 35.97 | loss: 0.23025 | time elapsed: 14.24h | time left: 1.94h
batch 126500 | examples/s: 28.27 | loss: 0.23069 | time elapsed: 14.25h | time left: 1.93h
batch 126600 | examples/s: 33.09 | loss: 0.22964 | time elapsed: 14.26h | time left: 1.91h
batch 126700 | examples/s: 33.14 | loss: 0.23103 | time elapsed: 14.27h | time left: 1.90h
batch 126800 | examples/s: 25.17 | loss: 0.23056 | time elapsed: 14.28h | time left: 1.89h
batch 126900 | examples/s: 33.08 | loss: 0.22857 | time elapsed: 14.29h | time left: 1.88h
batch 127000 | examples/s: 32.98 | loss: 0.22920 | time elapsed: 14.30h | time left: 1.87h
batch 127100 | examples/s: 29.07 | loss: 0.23671 | time elapsed: 14.31h | time left: 1.86h
batch 127200 | examples/s: 28.11 | loss: 0.22930 | time elapsed: 14.32h | time left: 1.85h
batch 127300 | examples/s: 25.30 | loss: 0.22934 | time elapsed: 14.33h | time left: 1.84h
batch 127400 | examples/s: 32.98 | loss: 0.23014 | time elapsed: 14.35h | time left: 1.82h
batch 127500 | examples/s: 30.61 | loss: 0.23381 | time elapsed: 14.36h | time left: 1.81h
batch 127600 | examples/s: 28.76 | loss: 0.22491 | time elapsed: 14.37h | time left: 1.80h
batch 127700 | examples/s: 33.10 | loss: 0.23152 | time elapsed: 14.38h | time left: 1.79h
batch 127800 | examples/s: 29.68 | loss: 0.23308 | time elapsed: 14.39h | time left: 1.78h
batch 127900 | examples/s: 33.19 | loss: 0.22652 | time elapsed: 14.40h | time left: 1.77h
batch 128000 | examples/s: 33.07 | loss: 0.23739 | time elapsed: 14.41h | time left: 1.76h
batch 128100 | examples/s: 32.92 | loss: 0.22986 | time elapsed: 14.42h | time left: 1.75h
batch 128200 | examples/s: 29.01 | loss: 0.22827 | time elapsed: 14.43h | time left: 1.73h
batch 128300 | examples/s: 33.08 | loss: 0.23495 | time elapsed: 14.44h | time left: 1.72h
batch 128400 | examples/s: 27.96 | loss: 0.22978 | time elapsed: 14.45h | time left: 1.71h
batch 128500 | examples/s: 33.23 | loss: 0.22993 | time elapsed: 14.47h | time left: 1.70h
batch 128600 | examples/s: 32.40 | loss: 0.23528 | time elapsed: 14.48h | time left: 1.69h
batch 128700 | examples/s: 33.19 | loss: 0.23484 | time elapsed: 14.49h | time left: 1.68h
batch 128800 | examples/s: 27.24 | loss: 0.23424 | time elapsed: 14.50h | time left: 1.67h
batch 128900 | examples/s: 28.47 | loss: 0.23196 | time elapsed: 14.51h | time left: 1.65h
batch 129000 | examples/s: 27.98 | loss: 0.23332 | time elapsed: 14.52h | time left: 1.64h
batch 129100 | examples/s: 30.47 | loss: 0.23712 | time elapsed: 14.53h | time left: 1.63h
batch 129200 | examples/s: 30.37 | loss: 0.23330 | time elapsed: 14.54h | time left: 1.62h
epoch  44 | val loss: 0.32341 | time cost: 19.50 s |
batch 129300 | examples/s: 29.56 | loss: 0.23198 | time elapsed: 14.56h | time left: 1.61h
batch 129400 | examples/s: 33.10 | loss: 0.23139 | time elapsed: 14.57h | time left: 1.60h
batch 129500 | examples/s: 29.66 | loss: 0.23962 | time elapsed: 14.58h | time left: 1.59h
batch 129600 | examples/s: 29.84 | loss: 0.22929 | time elapsed: 14.59h | time left: 1.58h
batch 129700 | examples/s: 30.80 | loss: 0.22418 | time elapsed: 14.60h | time left: 1.56h
batch 129800 | examples/s: 29.43 | loss: 0.22981 | time elapsed: 14.61h | time left: 1.55h
batch 129900 | examples/s: 30.45 | loss: 0.22376 | time elapsed: 14.62h | time left: 1.54h
batch 130000 | examples/s: 28.41 | loss: 0.23258 | time elapsed: 14.63h | time left: 1.53h
batch 130100 | examples/s: 33.16 | loss: 0.22984 | time elapsed: 14.65h | time left: 1.52h
batch 130200 | examples/s: 38.14 | loss: 0.22650 | time elapsed: 14.66h | time left: 1.51h
batch 130300 | examples/s: 33.09 | loss: 0.22728 | time elapsed: 14.67h | time left: 1.50h
batch 130400 | examples/s: 30.16 | loss: 0.23042 | time elapsed: 14.68h | time left: 1.49h
batch 130500 | examples/s: 33.16 | loss: 0.23346 | time elapsed: 14.69h | time left: 1.47h
batch 130600 | examples/s: 28.40 | loss: 0.23517 | time elapsed: 14.70h | time left: 1.46h
batch 130700 | examples/s: 33.01 | loss: 0.23346 | time elapsed: 14.71h | time left: 1.45h
batch 130800 | examples/s: 31.57 | loss: 0.23235 | time elapsed: 14.72h | time left: 1.44h
batch 130900 | examples/s: 28.90 | loss: 0.23133 | time elapsed: 14.73h | time left: 1.43h
batch 131000 | examples/s: 28.70 | loss: 0.23021 | time elapsed: 14.74h | time left: 1.42h
batch 131100 | examples/s: 22.66 | loss: 0.22945 | time elapsed: 14.75h | time left: 1.41h
batch 131200 | examples/s: 26.59 | loss: 0.23344 | time elapsed: 14.76h | time left: 1.40h
batch 131300 | examples/s: 30.00 | loss: 0.23060 | time elapsed: 14.78h | time left: 1.38h
batch 131400 | examples/s: 29.29 | loss: 0.23072 | time elapsed: 14.79h | time left: 1.37h
batch 131500 | examples/s: 31.21 | loss: 0.23311 | time elapsed: 14.80h | time left: 1.36h
batch 131600 | examples/s: 33.18 | loss: 0.23299 | time elapsed: 14.81h | time left: 1.35h
batch 131700 | examples/s: 31.00 | loss: 0.22833 | time elapsed: 14.82h | time left: 1.34h
batch 131800 | examples/s: 33.11 | loss: 0.23014 | time elapsed: 14.83h | time left: 1.33h
batch 131900 | examples/s: 33.25 | loss: 0.23355 | time elapsed: 14.84h | time left: 1.32h
batch 132000 | examples/s: 35.25 | loss: 0.22963 | time elapsed: 14.85h | time left: 1.31h
batch 132100 | examples/s: 33.21 | loss: 0.23107 | time elapsed: 14.86h | time left: 1.29h
epoch  45 | val loss: 0.32241 | time cost: 18.18 s |
batch 132200 | examples/s: 29.59 | loss: 0.23582 | time elapsed: 14.88h | time left: 1.28h
batch 132300 | examples/s: 34.73 | loss: 0.23077 | time elapsed: 14.89h | time left: 1.27h
batch 132400 | examples/s: 32.25 | loss: 0.23447 | time elapsed: 14.90h | time left: 1.26h
batch 132500 | examples/s: 28.57 | loss: 0.23062 | time elapsed: 14.91h | time left: 1.25h
batch 132600 | examples/s: 29.15 | loss: 0.22972 | time elapsed: 14.92h | time left: 1.24h
batch 132700 | examples/s: 29.05 | loss: 0.23056 | time elapsed: 14.93h | time left: 1.23h
batch 132800 | examples/s: 26.38 | loss: 0.22950 | time elapsed: 14.94h | time left: 1.22h
batch 132900 | examples/s: 33.13 | loss: 0.23246 | time elapsed: 14.95h | time left: 1.20h
batch 133000 | examples/s: 31.72 | loss: 0.22974 | time elapsed: 14.97h | time left: 1.19h
batch 133100 | examples/s: 33.23 | loss: 0.22302 | time elapsed: 14.98h | time left: 1.18h
batch 133200 | examples/s: 28.59 | loss: 0.23200 | time elapsed: 14.99h | time left: 1.17h
batch 133300 | examples/s: 29.57 | loss: 0.23130 | time elapsed: 15.00h | time left: 1.16h
batch 133400 | examples/s: 33.31 | loss: 0.23107 | time elapsed: 15.01h | time left: 1.15h
batch 133500 | examples/s: 33.04 | loss: 0.22613 | time elapsed: 15.02h | time left: 1.14h
batch 133600 | examples/s: 28.30 | loss: 0.22973 | time elapsed: 15.03h | time left: 1.13h
batch 133700 | examples/s: 32.08 | loss: 0.22854 | time elapsed: 15.04h | time left: 1.11h
batch 133900 | examples/s: 33.67 | loss: 0.23120 | time elapsed: 15.06h | time left: 1.09h
batch 134000 | examples/s: 28.08 | loss: 0.23252 | time elapsed: 15.07h | time left: 1.08h
batch 134100 | examples/s: 33.06 | loss: 0.22890 | time elapsed: 15.08h | time left: 1.07h
batch 134200 | examples/s: 33.08 | loss: 0.22629 | time elapsed: 15.10h | time left: 1.06h
batch 134300 | examples/s: 36.16 | loss: 0.22953 | time elapsed: 15.11h | time left: 1.05h
batch 134400 | examples/s: 33.20 | loss: 0.23401 | time elapsed: 15.12h | time left: 1.03h
batch 134500 | examples/s: 30.90 | loss: 0.22933 | time elapsed: 15.13h | time left: 1.02h
batch 134600 | examples/s: 32.11 | loss: 0.23019 | time elapsed: 15.14h | time left: 1.01h
batch 134700 | examples/s: 24.68 | loss: 0.23254 | time elapsed: 15.15h | time left: 1.00h
batch 134800 | examples/s: 33.16 | loss: 0.22647 | time elapsed: 15.16h | time left: 0.99h
batch 134900 | examples/s: 24.98 | loss: 0.23434 | time elapsed: 15.17h | time left: 0.98h
epoch  46 | val loss: 0.32491 | time cost: 18.28 s |
batch 135000 | examples/s: 27.36 | loss: 0.23144 | time elapsed: 15.19h | time left: 0.97h
batch 135100 | examples/s: 33.16 | loss: 0.22798 | time elapsed: 15.20h | time left: 0.96h
batch 135200 | examples/s: 36.20 | loss: 0.22717 | time elapsed: 15.21h | time left: 0.94h
batch 135300 | examples/s: 33.01 | loss: 0.22999 | time elapsed: 15.22h | time left: 0.93h
batch 135400 | examples/s: 33.01 | loss: 0.22994 | time elapsed: 15.23h | time left: 0.92h
batch 135500 | examples/s: 33.15 | loss: 0.23093 | time elapsed: 15.24h | time left: 0.91h
batch 135600 | examples/s: 33.01 | loss: 0.22945 | time elapsed: 15.25h | time left: 0.90h
batch 135700 | examples/s: 29.07 | loss: 0.22806 | time elapsed: 15.26h | time left: 0.89h
batch 135800 | examples/s: 35.80 | loss: 0.22990 | time elapsed: 15.27h | time left: 0.88h
batch 135900 | examples/s: 28.48 | loss: 0.22940 | time elapsed: 15.29h | time left: 0.87h
batch 136000 | examples/s: 33.11 | loss: 0.23171 | time elapsed: 15.30h | time left: 0.85h
batch 136100 | examples/s: 33.25 | loss: 0.22653 | time elapsed: 15.31h | time left: 0.84h
batch 136200 | examples/s: 26.20 | loss: 0.23125 | time elapsed: 15.32h | time left: 0.83h
batch 136300 | examples/s: 33.13 | loss: 0.22722 | time elapsed: 15.33h | time left: 0.82h
batch 136400 | examples/s: 28.63 | loss: 0.23128 | time elapsed: 15.34h | time left: 0.81h
batch 136500 | examples/s: 33.08 | loss: 0.23028 | time elapsed: 15.35h | time left: 0.80h
batch 136600 | examples/s: 33.38 | loss: 0.22997 | time elapsed: 15.36h | time left: 0.79h
batch 136700 | examples/s: 28.58 | loss: 0.22871 | time elapsed: 15.37h | time left: 0.78h
batch 136800 | examples/s: 32.81 | loss: 0.22958 | time elapsed: 15.38h | time left: 0.76h
batch 136900 | examples/s: 27.06 | loss: 0.23219 | time elapsed: 15.39h | time left: 0.75h
batch 137000 | examples/s: 33.15 | loss: 0.23099 | time elapsed: 15.40h | time left: 0.74h
batch 137100 | examples/s: 33.06 | loss: 0.22134 | time elapsed: 15.42h | time left: 0.73h
batch 137200 | examples/s: 32.83 | loss: 0.23097 | time elapsed: 15.43h | time left: 0.72h
batch 137300 | examples/s: 28.45 | loss: 0.23166 | time elapsed: 15.44h | time left: 0.71h
batch 137400 | examples/s: 30.49 | loss: 0.22950 | time elapsed: 15.45h | time left: 0.70h
batch 137500 | examples/s: 33.19 | loss: 0.23275 | time elapsed: 15.46h | time left: 0.69h
batch 137600 | examples/s: 32.98 | loss: 0.23054 | time elapsed: 15.47h | time left: 0.67h
batch 137700 | examples/s: 33.07 | loss: 0.22909 | time elapsed: 15.48h | time left: 0.66h
batch 137800 | examples/s: 29.32 | loss: 0.22888 | time elapsed: 15.49h | time left: 0.65h
epoch  47 | val loss: 0.32307 | time cost: 19.46 s |
batch 137900 | examples/s: 35.56 | loss: 0.23632 | time elapsed: 15.51h | time left: 0.64h
batch 138000 | examples/s: 27.97 | loss: 0.23156 | time elapsed: 15.52h | time left: 0.63h
batch 138100 | examples/s: 30.17 | loss: 0.22690 | time elapsed: 15.53h | time left: 0.62h
batch 138200 | examples/s: 33.07 | loss: 0.22684 | time elapsed: 15.54h | time left: 0.61h
batch 138300 | examples/s: 33.10 | loss: 0.22556 | time elapsed: 15.55h | time left: 0.60h
batch 138400 | examples/s: 33.01 | loss: 0.22168 | time elapsed: 15.56h | time left: 0.58h
batch 138500 | examples/s: 32.73 | loss: 0.22622 | time elapsed: 15.57h | time left: 0.57h
batch 138600 | examples/s: 28.46 | loss: 0.22654 | time elapsed: 15.58h | time left: 0.56h
batch 138700 | examples/s: 28.43 | loss: 0.22854 | time elapsed: 15.60h | time left: 0.55h
batch 138800 | examples/s: 25.47 | loss: 0.23686 | time elapsed: 15.61h | time left: 0.54h
batch 138900 | examples/s: 28.25 | loss: 0.23628 | time elapsed: 15.62h | time left: 0.53h
batch 139000 | examples/s: 28.76 | loss: 0.22798 | time elapsed: 15.63h | time left: 0.52h
batch 139100 | examples/s: 33.00 | loss: 0.22939 | time elapsed: 15.64h | time left: 0.51h
batch 139200 | examples/s: 29.44 | loss: 0.22907 | time elapsed: 15.65h | time left: 0.49h
batch 139300 | examples/s: 32.21 | loss: 0.22761 | time elapsed: 15.66h | time left: 0.48h
batch 139400 | examples/s: 28.40 | loss: 0.22808 | time elapsed: 15.67h | time left: 0.47h
batch 139500 | examples/s: 28.80 | loss: 0.22751 | time elapsed: 15.68h | time left: 0.46h
batch 139600 | examples/s: 30.09 | loss: 0.23014 | time elapsed: 15.69h | time left: 0.45h
batch 139700 | examples/s: 26.29 | loss: 0.23081 | time elapsed: 15.70h | time left: 0.44h
batch 139800 | examples/s: 29.78 | loss: 0.23146 | time elapsed: 15.71h | time left: 0.43h
batch 139900 | examples/s: 29.71 | loss: 0.23175 | time elapsed: 15.73h | time left: 0.42h
batch 140000 | examples/s: 31.13 | loss: 0.22830 | time elapsed: 15.74h | time left: 0.40h
batch 140100 | examples/s: 33.10 | loss: 0.22877 | time elapsed: 15.75h | time left: 0.39h
batch 140200 | examples/s: 33.00 | loss: 0.23128 | time elapsed: 15.76h | time left: 0.38h
batch 140300 | examples/s: 33.21 | loss: 0.23112 | time elapsed: 15.77h | time left: 0.37h
batch 140400 | examples/s: 33.05 | loss: 0.23283 | time elapsed: 15.78h | time left: 0.36h
batch 140500 | examples/s: 31.63 | loss: 0.22842 | time elapsed: 15.79h | time left: 0.35h
batch 140600 | examples/s: 33.23 | loss: 0.22713 | time elapsed: 15.80h | time left: 0.34h
batch 140700 | examples/s: 31.12 | loss: 0.22984 | time elapsed: 15.81h | time left: 0.33h
epoch  48 | val loss: 0.32390 | time cost: 18.53 s |
batch 140800 | examples/s: 33.17 | loss: 0.22778 | time elapsed: 15.83h | time left: 0.31h
batch 140900 | examples/s: 27.69 | loss: 0.22780 | time elapsed: 15.84h | time left: 0.30h
batch 141000 | examples/s: 29.93 | loss: 0.22628 | time elapsed: 15.85h | time left: 0.29h
batch 141100 | examples/s: 33.05 | loss: 0.22826 | time elapsed: 15.86h | time left: 0.28h
batch 141200 | examples/s: 28.10 | loss: 0.23344 | time elapsed: 15.87h | time left: 0.27h
batch 141300 | examples/s: 31.42 | loss: 0.23117 | time elapsed: 15.88h | time left: 0.26h
batch 141400 | examples/s: 33.09 | loss: 0.22972 | time elapsed: 15.89h | time left: 0.25h
batch 141500 | examples/s: 33.08 | loss: 0.22511 | time elapsed: 15.91h | time left: 0.24h
batch 141600 | examples/s: 33.01 | loss: 0.22760 | time elapsed: 15.92h | time left: 0.22h
batch 141700 | examples/s: 33.14 | loss: 0.22892 | time elapsed: 15.93h | time left: 0.21h
batch 141800 | examples/s: 33.17 | loss: 0.22535 | time elapsed: 15.94h | time left: 0.20h
batch 141900 | examples/s: 33.12 | loss: 0.22677 | time elapsed: 15.95h | time left: 0.19h
batch 142000 | examples/s: 33.17 | loss: 0.22765 | time elapsed: 15.96h | time left: 0.18h
batch 142100 | examples/s: 33.09 | loss: 0.22727 | time elapsed: 15.97h | time left: 0.17h
batch 142200 | examples/s: 32.83 | loss: 0.23234 | time elapsed: 15.98h | time left: 0.16h
batch 142300 | examples/s: 33.18 | loss: 0.23039 | time elapsed: 15.99h | time left: 0.15h
batch 142400 | examples/s: 30.87 | loss: 0.23462 | time elapsed: 16.00h | time left: 0.13h
batch 142500 | examples/s: 33.30 | loss: 0.22304 | time elapsed: 16.01h | time left: 0.12h
batch 142600 | examples/s: 33.20 | loss: 0.22888 | time elapsed: 16.03h | time left: 0.11h
batch 142700 | examples/s: 26.46 | loss: 0.22755 | time elapsed: 16.04h | time left: 0.10h
batch 142800 | examples/s: 33.23 | loss: 0.23175 | time elapsed: 16.05h | time left: 0.09h
batch 142900 | examples/s: 33.04 | loss: 0.23074 | time elapsed: 16.06h | time left: 0.08h
batch 143000 | examples/s: 28.13 | loss: 0.23132 | time elapsed: 16.07h | time left: 0.07h
batch 143100 | examples/s: 33.09 | loss: 0.23171 | time elapsed: 16.08h | time left: 0.06h
batch 143200 | examples/s: 25.36 | loss: 0.22817 | time elapsed: 16.09h | time left: 0.04h
batch 143300 | examples/s: 32.99 | loss: 0.23075 | time elapsed: 16.10h | time left: 0.03h
batch 143400 | examples/s: 29.71 | loss: 0.22701 | time elapsed: 16.11h | time left: 0.02h
batch 143500 | examples/s: 30.54 | loss: 0.22583 | time elapsed: 16.12h | time left: 0.01h
batch 143600 | examples/s: 52.68 | loss: 0.22825 | time elapsed: 16.13h | time left: 0.00h
epoch  49 | val loss: 0.32281 | time cost: 18.30 s |

0 files missing
100%|█████████████████████████████████████████| 697/697 [01:21<00:00,  8.54it/s]
   abs_rel,     sq_rel,        rms,    log_rms,     d1_all,         a1,         a2,         a3
    0.6590,     9.3189,     13.651,      0.525,      0.000,      0.087,      0.448,      0.859