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logs.text
CNTKCommandTrainInfo: train : 300
CNTKCommandTrainInfo: CNTKNoMoreCommands_Total : 300
CNTKCommandTrainBegin: train
Learning rate per minibatch: 0.1
Minibatch[ 1- 1]: loss = 0.546792 * 4, metric = 0.00% * 4;
Minibatch[ 2- 2]: loss = 0.506533 * 4, metric = 25.00% * 4;
Minibatch[ 3- 3]: loss = 0.473400 * 4, metric = 25.00% * 4;
Minibatch[ 4- 4]: loss = 0.446422 * 4, metric = 25.00% * 4;
Minibatch[ 5- 5]: loss = 0.423788 * 4, metric = 25.00% * 4;
Minibatch[ 6- 6]: loss = 0.403854 * 4, metric = 25.00% * 4;
Minibatch[ 7- 7]: loss = 0.385509 * 4, metric = 25.00% * 4;
Minibatch[ 8- 8]: loss = 0.368078 * 4, metric = 25.00% * 4;
Minibatch[ 9- 9]: loss = 0.351179 * 4, metric = 25.00% * 4;
Minibatch[ 10- 10]: loss = 0.334604 * 4, metric = 25.00% * 4;
Minibatch[ 11- 11]: loss = 0.318250 * 4, metric = 25.00% * 4;
Minibatch[ 12- 12]: loss = 0.302083 * 4, metric = 25.00% * 4;
Minibatch[ 13- 13]: loss = 0.286117 * 4, metric = 25.00% * 4;
Minibatch[ 14- 14]: loss = 0.270401 * 4, metric = 0.00% * 4;
Minibatch[ 15- 15]: loss = 0.255003 * 4, metric = 0.00% * 4;
Minibatch[ 16- 16]: loss = 0.240005 * 4, metric = 0.00% * 4;
Minibatch[ 17- 17]: loss = 0.225491 * 4, metric = 0.00% * 4;
Minibatch[ 18- 18]: loss = 0.211542 * 4, metric = 0.00% * 4;
Minibatch[ 19- 19]: loss = 0.198229 * 4, metric = 0.00% * 4;
Minibatch[ 20- 20]: loss = 0.185609 * 4, metric = 0.00% * 4;
Minibatch[ 21- 21]: loss = 0.173716 * 4, metric = 0.00% * 4;
Minibatch[ 22- 22]: loss = 0.162564 * 4, metric = 0.00% * 4;
Minibatch[ 23- 23]: loss = 0.152145 * 4, metric = 0.00% * 4;
Minibatch[ 24- 24]: loss = 0.142431 * 4, metric = 0.00% * 4;
Minibatch[ 25- 25]: loss = 0.133379 * 4, metric = 0.00% * 4;
Minibatch[ 26- 26]: loss = 0.124934 * 4, metric = 0.00% * 4;
Minibatch[ 27- 27]: loss = 0.117044 * 4, metric = 0.00% * 4;
Minibatch[ 28- 28]: loss = 0.109657 * 4, metric = 0.00% * 4;
Minibatch[ 29- 29]: loss = 0.102731 * 4, metric = 0.00% * 4;
Minibatch[ 30- 30]: loss = 0.096232 * 4, metric = 0.00% * 4;
Minibatch[ 31- 31]: loss = 0.090139 * 4, metric = 0.00% * 4;
Minibatch[ 32- 32]: loss = 0.084433 * 4, metric = 0.00% * 4;
Minibatch[ 33- 33]: loss = 0.079101 * 4, metric = 0.00% * 4;
Minibatch[ 34- 34]: loss = 0.074133 * 4, metric = 0.00% * 4;
Minibatch[ 35- 35]: loss = 0.069518 * 4, metric = 0.00% * 4;
Minibatch[ 36- 36]: loss = 0.065244 * 4, metric = 0.00% * 4;
Minibatch[ 37- 37]: loss = 0.061293 * 4, metric = 0.00% * 4;
Minibatch[ 38- 38]: loss = 0.057648 * 4, metric = 0.00% * 4;
Minibatch[ 39- 39]: loss = 0.054289 * 4, metric = 0.00% * 4;
Minibatch[ 40- 40]: loss = 0.051194 * 4, metric = 0.00% * 4;
Minibatch[ 41- 41]: loss = 0.048342 * 4, metric = 0.00% * 4;
Minibatch[ 42- 42]: loss = 0.045709 * 4, metric = 0.00% * 4;
Minibatch[ 43- 43]: loss = 0.043276 * 4, metric = 0.00% * 4;
Minibatch[ 44- 44]: loss = 0.041023 * 4, metric = 0.00% * 4;
Minibatch[ 45- 45]: loss = 0.038935 * 4, metric = 0.00% * 4;
Minibatch[ 46- 46]: loss = 0.036996 * 4, metric = 0.00% * 4;
Minibatch[ 47- 47]: loss = 0.035192 * 4, metric = 0.00% * 4;
Minibatch[ 48- 48]: loss = 0.033513 * 4, metric = 0.00% * 4;
Minibatch[ 49- 49]: loss = 0.031949 * 4, metric = 0.00% * 4;
Minibatch[ 50- 50]: loss = 0.030490 * 4, metric = 0.00% * 4;
Minibatch[ 51- 51]: loss = 0.029129 * 4, metric = 0.00% * 4;
Minibatch[ 52- 52]: loss = 0.027860 * 4, metric = 0.00% * 4;
Minibatch[ 53- 53]: loss = 0.026673 * 4, metric = 0.00% * 4;
Minibatch[ 54- 54]: loss = 0.025566 * 4, metric = 0.00% * 4;
Minibatch[ 55- 55]: loss = 0.024531 * 4, metric = 0.00% * 4;
Minibatch[ 56- 56]: loss = 0.023564 * 4, metric = 0.00% * 4;
Minibatch[ 57- 57]: loss = 0.022660 * 4, metric = 0.00% * 4;
Minibatch[ 58- 58]: loss = 0.021813 * 4, metric = 0.00% * 4;
Minibatch[ 59- 59]: loss = 0.021020 * 4, metric = 0.00% * 4;
Minibatch[ 60- 60]: loss = 0.020275 * 4, metric = 0.00% * 4;
Minibatch[ 61- 61]: loss = 0.019577 * 4, metric = 0.00% * 4;
Minibatch[ 62- 62]: loss = 0.018921 * 4, metric = 0.00% * 4;
Minibatch[ 63- 63]: loss = 0.018303 * 4, metric = 0.00% * 4;
Minibatch[ 64- 64]: loss = 0.017720 * 4, metric = 0.00% * 4;
Minibatch[ 65- 65]: loss = 0.017171 * 4, metric = 0.00% * 4;
Minibatch[ 66- 66]: loss = 0.016652 * 4, metric = 0.00% * 4;
Minibatch[ 67- 67]: loss = 0.016161 * 4, metric = 0.00% * 4;
Minibatch[ 68- 68]: loss = 0.015696 * 4, metric = 0.00% * 4;
Minibatch[ 69- 69]: loss = 0.015255 * 4, metric = 0.00% * 4;
Minibatch[ 70- 70]: loss = 0.014836 * 4, metric = 0.00% * 4;
Minibatch[ 71- 71]: loss = 0.014439 * 4, metric = 0.00% * 4;
Minibatch[ 72- 72]: loss = 0.014059 * 4, metric = 0.00% * 4;
Minibatch[ 73- 73]: loss = 0.013699 * 4, metric = 0.00% * 4;
Minibatch[ 74- 74]: loss = 0.013355 * 4, metric = 0.00% * 4;
Minibatch[ 75- 75]: loss = 0.013026 * 4, metric = 0.00% * 4;
Minibatch[ 76- 76]: loss = 0.012712 * 4, metric = 0.00% * 4;
Minibatch[ 77- 77]: loss = 0.012413 * 4, metric = 0.00% * 4;
Minibatch[ 78- 78]: loss = 0.012126 * 4, metric = 0.00% * 4;
Minibatch[ 79- 79]: loss = 0.011851 * 4, metric = 0.00% * 4;
Minibatch[ 80- 80]: loss = 0.011588 * 4, metric = 0.00% * 4;
Minibatch[ 81- 81]: loss = 0.011335 * 4, metric = 0.00% * 4;
Minibatch[ 82- 82]: loss = 0.011092 * 4, metric = 0.00% * 4;
Minibatch[ 83- 83]: loss = 0.010859 * 4, metric = 0.00% * 4;
Minibatch[ 84- 84]: loss = 0.010635 * 4, metric = 0.00% * 4;
Minibatch[ 85- 85]: loss = 0.010420 * 4, metric = 0.00% * 4;
Minibatch[ 86- 86]: loss = 0.010213 * 4, metric = 0.00% * 4;
Minibatch[ 87- 87]: loss = 0.010013 * 4, metric = 0.00% * 4;
Minibatch[ 88- 88]: loss = 0.009820 * 4, metric = 0.00% * 4;
Minibatch[ 89- 89]: loss = 0.009634 * 4, metric = 0.00% * 4;
Minibatch[ 90- 90]: loss = 0.009454 * 4, metric = 0.00% * 4;
Minibatch[ 91- 91]: loss = 0.009280 * 4, metric = 0.00% * 4;
Minibatch[ 92- 92]: loss = 0.009112 * 4, metric = 0.00% * 4;
Minibatch[ 93- 93]: loss = 0.008950 * 4, metric = 0.00% * 4;
Minibatch[ 94- 94]: loss = 0.008793 * 4, metric = 0.00% * 4;
Minibatch[ 95- 95]: loss = 0.008641 * 4, metric = 0.00% * 4;
Minibatch[ 96- 96]: loss = 0.008493 * 4, metric = 0.00% * 4;
Minibatch[ 97- 97]: loss = 0.008351 * 4, metric = 0.00% * 4;
Minibatch[ 98- 98]: loss = 0.008212 * 4, metric = 0.00% * 4;
Minibatch[ 99- 99]: loss = 0.008078 * 4, metric = 0.00% * 4;
Minibatch[ 100- 100]: loss = 0.007947 * 4, metric = 0.00% * 4;
Minibatch[ 101- 101]: loss = 0.007820 * 4, metric = 0.00% * 4;
Minibatch[ 102- 102]: loss = 0.007697 * 4, metric = 0.00% * 4;
Minibatch[ 103- 103]: loss = 0.007577 * 4, metric = 0.00% * 4;
Minibatch[ 104- 104]: loss = 0.007461 * 4, metric = 0.00% * 4;
Minibatch[ 105- 105]: loss = 0.007347 * 4, metric = 0.00% * 4;
Minibatch[ 106- 106]: loss = 0.007236 * 4, metric = 0.00% * 4;
Minibatch[ 107- 107]: loss = 0.007129 * 4, metric = 0.00% * 4;
Minibatch[ 108- 108]: loss = 0.007024 * 4, metric = 0.00% * 4;
Minibatch[ 109- 109]: loss = 0.006922 * 4, metric = 0.00% * 4;
Minibatch[ 110- 110]: loss = 0.006822 * 4, metric = 0.00% * 4;
Minibatch[ 111- 111]: loss = 0.006724 * 4, metric = 0.00% * 4;
Minibatch[ 112- 112]: loss = 0.006630 * 4, metric = 0.00% * 4;
Minibatch[ 113- 113]: loss = 0.006537 * 4, metric = 0.00% * 4;
Minibatch[ 114- 114]: loss = 0.006448 * 4, metric = 0.00% * 4;
Minibatch[ 115- 115]: loss = 0.006359 * 4, metric = 0.00% * 4;
Minibatch[ 116- 116]: loss = 0.006273 * 4, metric = 0.00% * 4;
Minibatch[ 117- 117]: loss = 0.006189 * 4, metric = 0.00% * 4;
Minibatch[ 118- 118]: loss = 0.006107 * 4, metric = 0.00% * 4;
Minibatch[ 119- 119]: loss = 0.006026 * 4, metric = 0.00% * 4;
Minibatch[ 120- 120]: loss = 0.005948 * 4, metric = 0.00% * 4;
Minibatch[ 121- 121]: loss = 0.005872 * 4, metric = 0.00% * 4;
Minibatch[ 122- 122]: loss = 0.005796 * 4, metric = 0.00% * 4;
Minibatch[ 123- 123]: loss = 0.005723 * 4, metric = 0.00% * 4;
Minibatch[ 124- 124]: loss = 0.005651 * 4, metric = 0.00% * 4;
Minibatch[ 125- 125]: loss = 0.005581 * 4, metric = 0.00% * 4;
Minibatch[ 126- 126]: loss = 0.005511 * 4, metric = 0.00% * 4;
Minibatch[ 127- 127]: loss = 0.005445 * 4, metric = 0.00% * 4;
Minibatch[ 128- 128]: loss = 0.005378 * 4, metric = 0.00% * 4;
Minibatch[ 129- 129]: loss = 0.005314 * 4, metric = 0.00% * 4;
Minibatch[ 130- 130]: loss = 0.005250 * 4, metric = 0.00% * 4;
Minibatch[ 131- 131]: loss = 0.005188 * 4, metric = 0.00% * 4;
Minibatch[ 132- 132]: loss = 0.005127 * 4, metric = 0.00% * 4;
Minibatch[ 133- 133]: loss = 0.005067 * 4, metric = 0.00% * 4;
Minibatch[ 134- 134]: loss = 0.005009 * 4, metric = 0.00% * 4;
Minibatch[ 135- 135]: loss = 0.004951 * 4, metric = 0.00% * 4;
Minibatch[ 136- 136]: loss = 0.004895 * 4, metric = 0.00% * 4;
Minibatch[ 137- 137]: loss = 0.004840 * 4, metric = 0.00% * 4;
Minibatch[ 138- 138]: loss = 0.004786 * 4, metric = 0.00% * 4;
Minibatch[ 139- 139]: loss = 0.004732 * 4, metric = 0.00% * 4;
Minibatch[ 140- 140]: loss = 0.004680 * 4, metric = 0.00% * 4;
Minibatch[ 141- 141]: loss = 0.004629 * 4, metric = 0.00% * 4;
Minibatch[ 142- 142]: loss = 0.004579 * 4, metric = 0.00% * 4;
Minibatch[ 143- 143]: loss = 0.004529 * 4, metric = 0.00% * 4;
Minibatch[ 144- 144]: loss = 0.004480 * 4, metric = 0.00% * 4;
Minibatch[ 145- 145]: loss = 0.004433 * 4, metric = 0.00% * 4;
Minibatch[ 146- 146]: loss = 0.004386 * 4, metric = 0.00% * 4;
Minibatch[ 147- 147]: loss = 0.004340 * 4, metric = 0.00% * 4;
Minibatch[ 148- 148]: loss = 0.004294 * 4, metric = 0.00% * 4;
Minibatch[ 149- 149]: loss = 0.004251 * 4, metric = 0.00% * 4;
Minibatch[ 150- 150]: loss = 0.004207 * 4, metric = 0.00% * 4;
Minibatch[ 151- 151]: loss = 0.004164 * 4, metric = 0.00% * 4;
Minibatch[ 152- 152]: loss = 0.004122 * 4, metric = 0.00% * 4;
Minibatch[ 153- 153]: loss = 0.004080 * 4, metric = 0.00% * 4;
Minibatch[ 154- 154]: loss = 0.004039 * 4, metric = 0.00% * 4;
Minibatch[ 155- 155]: loss = 0.003999 * 4, metric = 0.00% * 4;
Minibatch[ 156- 156]: loss = 0.003960 * 4, metric = 0.00% * 4;
Minibatch[ 157- 157]: loss = 0.003921 * 4, metric = 0.00% * 4;
Minibatch[ 158- 158]: loss = 0.003882 * 4, metric = 0.00% * 4;
Minibatch[ 159- 159]: loss = 0.003845 * 4, metric = 0.00% * 4;
Minibatch[ 160- 160]: loss = 0.003808 * 4, metric = 0.00% * 4;
Minibatch[ 161- 161]: loss = 0.003772 * 4, metric = 0.00% * 4;
Minibatch[ 162- 162]: loss = 0.003736 * 4, metric = 0.00% * 4;
Minibatch[ 163- 163]: loss = 0.003700 * 4, metric = 0.00% * 4;
Minibatch[ 164- 164]: loss = 0.003666 * 4, metric = 0.00% * 4;
Minibatch[ 165- 165]: loss = 0.003632 * 4, metric = 0.00% * 4;
Minibatch[ 166- 166]: loss = 0.003598 * 4, metric = 0.00% * 4;
Minibatch[ 167- 167]: loss = 0.003565 * 4, metric = 0.00% * 4;
Minibatch[ 168- 168]: loss = 0.003532 * 4, metric = 0.00% * 4;
Minibatch[ 169- 169]: loss = 0.003500 * 4, metric = 0.00% * 4;
Minibatch[ 170- 170]: loss = 0.003469 * 4, metric = 0.00% * 4;
Minibatch[ 171- 171]: loss = 0.003437 * 4, metric = 0.00% * 4;
Minibatch[ 172- 172]: loss = 0.003407 * 4, metric = 0.00% * 4;
Minibatch[ 173- 173]: loss = 0.003376 * 4, metric = 0.00% * 4;
Minibatch[ 174- 174]: loss = 0.003346 * 4, metric = 0.00% * 4;
Minibatch[ 175- 175]: loss = 0.003317 * 4, metric = 0.00% * 4;
Minibatch[ 176- 176]: loss = 0.003288 * 4, metric = 0.00% * 4;
Minibatch[ 177- 177]: loss = 0.003260 * 4, metric = 0.00% * 4;
Minibatch[ 178- 178]: loss = 0.003231 * 4, metric = 0.00% * 4;
Minibatch[ 179- 179]: loss = 0.003203 * 4, metric = 0.00% * 4;
Minibatch[ 180- 180]: loss = 0.003176 * 4, metric = 0.00% * 4;
Minibatch[ 181- 181]: loss = 0.003149 * 4, metric = 0.00% * 4;
Minibatch[ 182- 182]: loss = 0.003122 * 4, metric = 0.00% * 4;
Minibatch[ 183- 183]: loss = 0.003097 * 4, metric = 0.00% * 4;
Minibatch[ 184- 184]: loss = 0.003071 * 4, metric = 0.00% * 4;
Minibatch[ 185- 185]: loss = 0.003045 * 4, metric = 0.00% * 4;
Minibatch[ 186- 186]: loss = 0.003020 * 4, metric = 0.00% * 4;
Minibatch[ 187- 187]: loss = 0.002995 * 4, metric = 0.00% * 4;
Minibatch[ 188- 188]: loss = 0.002971 * 4, metric = 0.00% * 4;
Minibatch[ 189- 189]: loss = 0.002947 * 4, metric = 0.00% * 4;
Minibatch[ 190- 190]: loss = 0.002923 * 4, metric = 0.00% * 4;
Minibatch[ 191- 191]: loss = 0.002899 * 4, metric = 0.00% * 4;
Minibatch[ 192- 192]: loss = 0.002876 * 4, metric = 0.00% * 4;
Minibatch[ 193- 193]: loss = 0.002853 * 4, metric = 0.00% * 4;
Minibatch[ 194- 194]: loss = 0.002831 * 4, metric = 0.00% * 4;
Minibatch[ 195- 195]: loss = 0.002809 * 4, metric = 0.00% * 4;
Minibatch[ 196- 196]: loss = 0.002787 * 4, metric = 0.00% * 4;
Minibatch[ 197- 197]: loss = 0.002765 * 4, metric = 0.00% * 4;
Minibatch[ 198- 198]: loss = 0.002743 * 4, metric = 0.00% * 4;
Minibatch[ 199- 199]: loss = 0.002722 * 4, metric = 0.00% * 4;
Minibatch[ 200- 200]: loss = 0.002701 * 4, metric = 0.00% * 4;
Minibatch[ 201- 201]: loss = 0.002680 * 4, metric = 0.00% * 4;
Minibatch[ 202- 202]: loss = 0.002660 * 4, metric = 0.00% * 4;
Minibatch[ 203- 203]: loss = 0.002640 * 4, metric = 0.00% * 4;
Minibatch[ 204- 204]: loss = 0.002620 * 4, metric = 0.00% * 4;
Minibatch[ 205- 205]: loss = 0.002601 * 4, metric = 0.00% * 4;
Minibatch[ 206- 206]: loss = 0.002581 * 4, metric = 0.00% * 4;
Minibatch[ 207- 207]: loss = 0.002562 * 4, metric = 0.00% * 4;
Minibatch[ 208- 208]: loss = 0.002542 * 4, metric = 0.00% * 4;
Minibatch[ 209- 209]: loss = 0.002524 * 4, metric = 0.00% * 4;
Minibatch[ 210- 210]: loss = 0.002505 * 4, metric = 0.00% * 4;
Minibatch[ 211- 211]: loss = 0.002487 * 4, metric = 0.00% * 4;
Minibatch[ 212- 212]: loss = 0.002469 * 4, metric = 0.00% * 4;
Minibatch[ 213- 213]: loss = 0.002452 * 4, metric = 0.00% * 4;
Minibatch[ 214- 214]: loss = 0.002434 * 4, metric = 0.00% * 4;
Minibatch[ 215- 215]: loss = 0.002417 * 4, metric = 0.00% * 4;
Minibatch[ 216- 216]: loss = 0.002399 * 4, metric = 0.00% * 4;
Minibatch[ 217- 217]: loss = 0.002382 * 4, metric = 0.00% * 4;
Minibatch[ 218- 218]: loss = 0.002366 * 4, metric = 0.00% * 4;
Minibatch[ 219- 219]: loss = 0.002349 * 4, metric = 0.00% * 4;
Minibatch[ 220- 220]: loss = 0.002333 * 4, metric = 0.00% * 4;
Minibatch[ 221- 221]: loss = 0.002316 * 4, metric = 0.00% * 4;
Minibatch[ 222- 222]: loss = 0.002300 * 4, metric = 0.00% * 4;
Minibatch[ 223- 223]: loss = 0.002285 * 4, metric = 0.00% * 4;
Minibatch[ 224- 224]: loss = 0.002269 * 4, metric = 0.00% * 4;
Minibatch[ 225- 225]: loss = 0.002254 * 4, metric = 0.00% * 4;
Minibatch[ 226- 226]: loss = 0.002238 * 4, metric = 0.00% * 4;
Minibatch[ 227- 227]: loss = 0.002223 * 4, metric = 0.00% * 4;
Minibatch[ 228- 228]: loss = 0.002208 * 4, metric = 0.00% * 4;
Minibatch[ 229- 229]: loss = 0.002193 * 4, metric = 0.00% * 4;
Minibatch[ 230- 230]: loss = 0.002178 * 4, metric = 0.00% * 4;
Minibatch[ 231- 231]: loss = 0.002164 * 4, metric = 0.00% * 4;
Minibatch[ 232- 232]: loss = 0.002150 * 4, metric = 0.00% * 4;
Minibatch[ 233- 233]: loss = 0.002135 * 4, metric = 0.00% * 4;
Minibatch[ 234- 234]: loss = 0.002122 * 4, metric = 0.00% * 4;
Minibatch[ 235- 235]: loss = 0.002108 * 4, metric = 0.00% * 4;
Minibatch[ 236- 236]: loss = 0.002094 * 4, metric = 0.00% * 4;
Minibatch[ 237- 237]: loss = 0.002080 * 4, metric = 0.00% * 4;
Minibatch[ 238- 238]: loss = 0.002067 * 4, metric = 0.00% * 4;
Minibatch[ 239- 239]: loss = 0.002054 * 4, metric = 0.00% * 4;
Minibatch[ 240- 240]: loss = 0.002041 * 4, metric = 0.00% * 4;
Minibatch[ 241- 241]: loss = 0.002028 * 4, metric = 0.00% * 4;
Minibatch[ 242- 242]: loss = 0.002015 * 4, metric = 0.00% * 4;
Minibatch[ 243- 243]: loss = 0.002002 * 4, metric = 0.00% * 4;
Minibatch[ 244- 244]: loss = 0.001989 * 4, metric = 0.00% * 4;
Minibatch[ 245- 245]: loss = 0.001977 * 4, metric = 0.00% * 4;
Minibatch[ 246- 246]: loss = 0.001965 * 4, metric = 0.00% * 4;
Minibatch[ 247- 247]: loss = 0.001952 * 4, metric = 0.00% * 4;
Minibatch[ 248- 248]: loss = 0.001941 * 4, metric = 0.00% * 4;
Minibatch[ 249- 249]: loss = 0.001928 * 4, metric = 0.00% * 4;
Minibatch[ 250- 250]: loss = 0.001917 * 4, metric = 0.00% * 4;
Minibatch[ 251- 251]: loss = 0.001904 * 4, metric = 0.00% * 4;
Minibatch[ 252- 252]: loss = 0.001893 * 4, metric = 0.00% * 4;
Minibatch[ 253- 253]: loss = 0.001882 * 4, metric = 0.00% * 4;
Minibatch[ 254- 254]: loss = 0.001870 * 4, metric = 0.00% * 4;
Minibatch[ 255- 255]: loss = 0.001859 * 4, metric = 0.00% * 4;
Minibatch[ 256- 256]: loss = 0.001848 * 4, metric = 0.00% * 4;
Minibatch[ 257- 257]: loss = 0.001837 * 4, metric = 0.00% * 4;
Minibatch[ 258- 258]: loss = 0.001826 * 4, metric = 0.00% * 4;
Minibatch[ 259- 259]: loss = 0.001815 * 4, metric = 0.00% * 4;
Minibatch[ 260- 260]: loss = 0.001804 * 4, metric = 0.00% * 4;
Minibatch[ 261- 261]: loss = 0.001794 * 4, metric = 0.00% * 4;
Minibatch[ 262- 262]: loss = 0.001783 * 4, metric = 0.00% * 4;
Minibatch[ 263- 263]: loss = 0.001773 * 4, metric = 0.00% * 4;
Minibatch[ 264- 264]: loss = 0.001762 * 4, metric = 0.00% * 4;
Minibatch[ 265- 265]: loss = 0.001752 * 4, metric = 0.00% * 4;
Minibatch[ 266- 266]: loss = 0.001742 * 4, metric = 0.00% * 4;
Minibatch[ 267- 267]: loss = 0.001732 * 4, metric = 0.00% * 4;
Minibatch[ 268- 268]: loss = 0.001722 * 4, metric = 0.00% * 4;
Minibatch[ 269- 269]: loss = 0.001712 * 4, metric = 0.00% * 4;
Minibatch[ 270- 270]: loss = 0.001702 * 4, metric = 0.00% * 4;
Minibatch[ 271- 271]: loss = 0.001693 * 4, metric = 0.00% * 4;
Minibatch[ 272- 272]: loss = 0.001683 * 4, metric = 0.00% * 4;
Minibatch[ 273- 273]: loss = 0.001674 * 4, metric = 0.00% * 4;
Minibatch[ 274- 274]: loss = 0.001664 * 4, metric = 0.00% * 4;
Minibatch[ 275- 275]: loss = 0.001656 * 4, metric = 0.00% * 4;
Minibatch[ 276- 276]: loss = 0.001646 * 4, metric = 0.00% * 4;
Minibatch[ 277- 277]: loss = 0.001637 * 4, metric = 0.00% * 4;
Minibatch[ 278- 278]: loss = 0.001628 * 4, metric = 0.00% * 4;
Minibatch[ 279- 279]: loss = 0.001619 * 4, metric = 0.00% * 4;
Minibatch[ 280- 280]: loss = 0.001610 * 4, metric = 0.00% * 4;
Minibatch[ 281- 281]: loss = 0.001601 * 4, metric = 0.00% * 4;
Minibatch[ 282- 282]: loss = 0.001593 * 4, metric = 0.00% * 4;
Minibatch[ 283- 283]: loss = 0.001584 * 4, metric = 0.00% * 4;
Minibatch[ 284- 284]: loss = 0.001575 * 4, metric = 0.00% * 4;
Minibatch[ 285- 285]: loss = 0.001567 * 4, metric = 0.00% * 4;
Minibatch[ 286- 286]: loss = 0.001558 * 4, metric = 0.00% * 4;
Minibatch[ 287- 287]: loss = 0.001550 * 4, metric = 0.00% * 4;
Minibatch[ 288- 288]: loss = 0.001542 * 4, metric = 0.00% * 4;
Minibatch[ 289- 289]: loss = 0.001534 * 4, metric = 0.00% * 4;
Minibatch[ 290- 290]: loss = 0.001526 * 4, metric = 0.00% * 4;
Minibatch[ 291- 291]: loss = 0.001517 * 4, metric = 0.00% * 4;
Minibatch[ 292- 292]: loss = 0.001510 * 4, metric = 0.00% * 4;
Minibatch[ 293- 293]: loss = 0.001501 * 4, metric = 0.00% * 4;
Minibatch[ 294- 294]: loss = 0.001493 * 4, metric = 0.00% * 4;
Minibatch[ 295- 295]: loss = 0.001486 * 4, metric = 0.00% * 4;
Minibatch[ 296- 296]: loss = 0.001478 * 4, metric = 0.00% * 4;
Minibatch[ 297- 297]: loss = 0.001471 * 4, metric = 0.00% * 4;
Minibatch[ 298- 298]: loss = 0.001463 * 4, metric = 0.00% * 4;
Minibatch[ 299- 299]: loss = 0.001455 * 4, metric = 0.00% * 4;
Minibatch[ 300- 300]: loss = 0.001448 * 4, metric = 0.00% * 4;
Minibatch[ 301- 301]: loss = 0.001441 * 4, metric = 0.00% * 4;
Minibatch[ 302- 302]: loss = 0.001433 * 4, metric = 0.00% * 4;
Minibatch[ 303- 303]: loss = 0.001426 * 4, metric = 0.00% * 4;
Minibatch[ 304- 304]: loss = 0.001419 * 4, metric = 0.00% * 4;
Minibatch[ 305- 305]: loss = 0.001411 * 4, metric = 0.00% * 4;
Minibatch[ 306- 306]: loss = 0.001405 * 4, metric = 0.00% * 4;
Minibatch[ 307- 307]: loss = 0.001397 * 4, metric = 0.00% * 4;
Minibatch[ 308- 308]: loss = 0.001390 * 4, metric = 0.00% * 4;
Minibatch[ 309- 309]: loss = 0.001384 * 4, metric = 0.00% * 4;
Minibatch[ 310- 310]: loss = 0.001377 * 4, metric = 0.00% * 4;
Minibatch[ 311- 311]: loss = 0.001369 * 4, metric = 0.00% * 4;
Minibatch[ 312- 312]: loss = 0.001363 * 4, metric = 0.00% * 4;
Minibatch[ 313- 313]: loss = 0.001356 * 4, metric = 0.00% * 4;
Minibatch[ 314- 314]: loss = 0.001349 * 4, metric = 0.00% * 4;
Minibatch[ 315- 315]: loss = 0.001344 * 4, metric = 0.00% * 4;
Minibatch[ 316- 316]: loss = 0.001337 * 4, metric = 0.00% * 4;
Minibatch[ 317- 317]: loss = 0.001330 * 4, metric = 0.00% * 4;
Minibatch[ 318- 318]: loss = 0.001324 * 4, metric = 0.00% * 4;
Minibatch[ 319- 319]: loss = 0.001317 * 4, metric = 0.00% * 4;
Minibatch[ 320- 320]: loss = 0.001311 * 4, metric = 0.00% * 4;
Minibatch[ 321- 321]: loss = 0.001305 * 4, metric = 0.00% * 4;
Minibatch[ 322- 322]: loss = 0.001299 * 4, metric = 0.00% * 4;
Minibatch[ 323- 323]: loss = 0.001292 * 4, metric = 0.00% * 4;
Minibatch[ 324- 324]: loss = 0.001287 * 4, metric = 0.00% * 4;
Minibatch[ 325- 325]: loss = 0.001280 * 4, metric = 0.00% * 4;
Minibatch[ 326- 326]: loss = 0.001274 * 4, metric = 0.00% * 4;
Minibatch[ 327- 327]: loss = 0.001268 * 4, metric = 0.00% * 4;
Minibatch[ 328- 328]: loss = 0.001263 * 4, metric = 0.00% * 4;
Minibatch[ 329- 329]: loss = 0.001256 * 4, metric = 0.00% * 4;
Minibatch[ 330- 330]: loss = 0.001250 * 4, metric = 0.00% * 4;
Minibatch[ 331- 331]: loss = 0.001245 * 4, metric = 0.00% * 4;
Minibatch[ 332- 332]: loss = 0.001239 * 4, metric = 0.00% * 4;
Minibatch[ 333- 333]: loss = 0.001233 * 4, metric = 0.00% * 4;
Minibatch[ 334- 334]: loss = 0.001227 * 4, metric = 0.00% * 4;
Minibatch[ 335- 335]: loss = 0.001222 * 4, metric = 0.00% * 4;
Minibatch[ 336- 336]: loss = 0.001216 * 4, metric = 0.00% * 4;
Minibatch[ 337- 337]: loss = 0.001211 * 4, metric = 0.00% * 4;
Minibatch[ 338- 338]: loss = 0.001205 * 4, metric = 0.00% * 4;
Minibatch[ 339- 339]: loss = 0.001200 * 4, metric = 0.00% * 4;
Minibatch[ 340- 340]: loss = 0.001194 * 4, metric = 0.00% * 4;
Minibatch[ 341- 341]: loss = 0.001189 * 4, metric = 0.00% * 4;
Minibatch[ 342- 342]: loss = 0.001184 * 4, metric = 0.00% * 4;
Minibatch[ 343- 343]: loss = 0.001179 * 4, metric = 0.00% * 4;
Minibatch[ 344- 344]: loss = 0.001173 * 4, metric = 0.00% * 4;
Minibatch[ 345- 345]: loss = 0.001168 * 4, metric = 0.00% * 4;
Minibatch[ 346- 346]: loss = 0.001163 * 4, metric = 0.00% * 4;
Minibatch[ 347- 347]: loss = 0.001158 * 4, metric = 0.00% * 4;
Minibatch[ 348- 348]: loss = 0.001152 * 4, metric = 0.00% * 4;
Minibatch[ 349- 349]: loss = 0.001147 * 4, metric = 0.00% * 4;
Minibatch[ 350- 350]: loss = 0.001143 * 4, metric = 0.00% * 4;
Minibatch[ 351- 351]: loss = 0.001138 * 4, metric = 0.00% * 4;
Minibatch[ 352- 352]: loss = 0.001132 * 4, metric = 0.00% * 4;
Minibatch[ 353- 353]: loss = 0.001127 * 4, metric = 0.00% * 4;
Minibatch[ 354- 354]: loss = 0.001122 * 4, metric = 0.00% * 4;
Minibatch[ 355- 355]: loss = 0.001118 * 4, metric = 0.00% * 4;
Minibatch[ 356- 356]: loss = 0.001113 * 4, metric = 0.00% * 4;
Minibatch[ 357- 357]: loss = 0.001108 * 4, metric = 0.00% * 4;
Minibatch[ 358- 358]: loss = 0.001103 * 4, metric = 0.00% * 4;
Minibatch[ 359- 359]: loss = 0.001099 * 4, metric = 0.00% * 4;
Minibatch[ 360- 360]: loss = 0.001094 * 4, metric = 0.00% * 4;
Minibatch[ 361- 361]: loss = 0.001089 * 4, metric = 0.00% * 4;
Minibatch[ 362- 362]: loss = 0.001084 * 4, metric = 0.00% * 4;
Minibatch[ 363- 363]: loss = 0.001080 * 4, metric = 0.00% * 4;
Minibatch[ 364- 364]: loss = 0.001076 * 4, metric = 0.00% * 4;
Minibatch[ 365- 365]: loss = 0.001071 * 4, metric = 0.00% * 4;
Minibatch[ 366- 366]: loss = 0.001066 * 4, metric = 0.00% * 4;
Minibatch[ 367- 367]: loss = 0.001062 * 4, metric = 0.00% * 4;
Minibatch[ 368- 368]: loss = 0.001058 * 4, metric = 0.00% * 4;
Minibatch[ 369- 369]: loss = 0.001053 * 4, metric = 0.00% * 4;
Minibatch[ 370- 370]: loss = 0.001049 * 4, metric = 0.00% * 4;
Minibatch[ 371- 371]: loss = 0.001044 * 4, metric = 0.00% * 4;
Minibatch[ 372- 372]: loss = 0.001040 * 4, metric = 0.00% * 4;
Minibatch[ 373- 373]: loss = 0.001036 * 4, metric = 0.00% * 4;
Minibatch[ 374- 374]: loss = 0.001032 * 4, metric = 0.00% * 4;
Minibatch[ 375- 375]: loss = 0.001027 * 4, metric = 0.00% * 4;
Minibatch[ 376- 376]: loss = 0.001023 * 4, metric = 0.00% * 4;
Minibatch[ 377- 377]: loss = 0.001019 * 4, metric = 0.00% * 4;
Minibatch[ 378- 378]: loss = 0.001015 * 4, metric = 0.00% * 4;
Minibatch[ 379- 379]: loss = 0.001011 * 4, metric = 0.00% * 4;
Minibatch[ 380- 380]: loss = 0.001006 * 4, metric = 0.00% * 4;
Minibatch[ 381- 381]: loss = 0.001002 * 4, metric = 0.00% * 4;
Minibatch[ 382- 382]: loss = 0.000998 * 4, metric = 0.00% * 4;
Minibatch[ 383- 383]: loss = 0.000995 * 4, metric = 0.00% * 4;
Minibatch[ 384- 384]: loss = 0.000991 * 4, metric = 0.00% * 4;
Minibatch[ 385- 385]: loss = 0.000986 * 4, metric = 0.00% * 4;
Minibatch[ 386- 386]: loss = 0.000982 * 4, metric = 0.00% * 4;
Minibatch[ 387- 387]: loss = 0.000978 * 4, metric = 0.00% * 4;
Minibatch[ 388- 388]: loss = 0.000975 * 4, metric = 0.00% * 4;
Minibatch[ 389- 389]: loss = 0.000971 * 4, metric = 0.00% * 4;
Minibatch[ 390- 390]: loss = 0.000967 * 4, metric = 0.00% * 4;
Minibatch[ 391- 391]: loss = 0.000963 * 4, metric = 0.00% * 4;
Minibatch[ 392- 392]: loss = 0.000959 * 4, metric = 0.00% * 4;
Minibatch[ 393- 393]: loss = 0.000956 * 4, metric = 0.00% * 4;
Minibatch[ 394- 394]: loss = 0.000952 * 4, metric = 0.00% * 4;
Minibatch[ 395- 395]: loss = 0.000948 * 4, metric = 0.00% * 4;
Minibatch[ 396- 396]: loss = 0.000945 * 4, metric = 0.00% * 4;
Minibatch[ 397- 397]: loss = 0.000941 * 4, metric = 0.00% * 4;
Minibatch[ 398- 398]: loss = 0.000937 * 4, metric = 0.00% * 4;
Minibatch[ 399- 399]: loss = 0.000934 * 4, metric = 0.00% * 4;
Minibatch[ 400- 400]: loss = 0.000930 * 4, metric = 0.00% * 4;
Minibatch[ 401- 401]: loss = 0.000927 * 4, metric = 0.00% * 4;
Minibatch[ 402- 402]: loss = 0.000923 * 4, metric = 0.00% * 4;
Minibatch[ 403- 403]: loss = 0.000919 * 4, metric = 0.00% * 4;
Minibatch[ 404- 404]: loss = 0.000916 * 4, metric = 0.00% * 4;
Minibatch[ 405- 405]: loss = 0.000913 * 4, metric = 0.00% * 4;
Minibatch[ 406- 406]: loss = 0.000909 * 4, metric = 0.00% * 4;
Minibatch[ 407- 407]: loss = 0.000906 * 4, metric = 0.00% * 4;
Minibatch[ 408- 408]: loss = 0.000902 * 4, metric = 0.00% * 4;
Minibatch[ 409- 409]: loss = 0.000899 * 4, metric = 0.00% * 4;
Minibatch[ 410- 410]: loss = 0.000896 * 4, metric = 0.00% * 4;
Minibatch[ 411- 411]: loss = 0.000892 * 4, metric = 0.00% * 4;
Minibatch[ 412- 412]: loss = 0.000889 * 4, metric = 0.00% * 4;
Minibatch[ 413- 413]: loss = 0.000886 * 4, metric = 0.00% * 4;
Minibatch[ 414- 414]: loss = 0.000882 * 4, metric = 0.00% * 4;
Minibatch[ 415- 415]: loss = 0.000879 * 4, metric = 0.00% * 4;
Minibatch[ 416- 416]: loss = 0.000875 * 4, metric = 0.00% * 4;
Minibatch[ 417- 417]: loss = 0.000873 * 4, metric = 0.00% * 4;
Minibatch[ 418- 418]: loss = 0.000870 * 4, metric = 0.00% * 4;
Minibatch[ 419- 419]: loss = 0.000866 * 4, metric = 0.00% * 4;
Minibatch[ 420- 420]: loss = 0.000863 * 4, metric = 0.00% * 4;
Minibatch[ 421- 421]: loss = 0.000860 * 4, metric = 0.00% * 4;
Minibatch[ 422- 422]: loss = 0.000856 * 4, metric = 0.00% * 4;
Minibatch[ 423- 423]: loss = 0.000854 * 4, metric = 0.00% * 4;
Minibatch[ 424- 424]: loss = 0.000851 * 4, metric = 0.00% * 4;
Minibatch[ 425- 425]: loss = 0.000848 * 4, metric = 0.00% * 4;
Minibatch[ 426- 426]: loss = 0.000844 * 4, metric = 0.00% * 4;
Minibatch[ 427- 427]: loss = 0.000841 * 4, metric = 0.00% * 4;
Minibatch[ 428- 428]: loss = 0.000838 * 4, metric = 0.00% * 4;
Minibatch[ 429- 429]: loss = 0.000835 * 4, metric = 0.00% * 4;
Minibatch[ 430- 430]: loss = 0.000833 * 4, metric = 0.00% * 4;
Minibatch[ 431- 431]: loss = 0.000830 * 4, metric = 0.00% * 4;
Minibatch[ 432- 432]: loss = 0.000826 * 4, metric = 0.00% * 4;
Minibatch[ 433- 433]: loss = 0.000823 * 4, metric = 0.00% * 4;
Minibatch[ 434- 434]: loss = 0.000820 * 4, metric = 0.00% * 4;
Minibatch[ 435- 435]: loss = 0.000817 * 4, metric = 0.00% * 4;
Minibatch[ 436- 436]: loss = 0.000814 * 4, metric = 0.00% * 4;
Minibatch[ 437- 437]: loss = 0.000812 * 4, metric = 0.00% * 4;
Minibatch[ 438- 438]: loss = 0.000809 * 4, metric = 0.00% * 4;
Minibatch[ 439- 439]: loss = 0.000806 * 4, metric = 0.00% * 4;
Minibatch[ 440- 440]: loss = 0.000803 * 4, metric = 0.00% * 4;
Minibatch[ 441- 441]: loss = 0.000800 * 4, metric = 0.00% * 4;
Minibatch[ 442- 442]: loss = 0.000797 * 4, metric = 0.00% * 4;
Minibatch[ 443- 443]: loss = 0.000795 * 4, metric = 0.00% * 4;
Minibatch[ 444- 444]: loss = 0.000793 * 4, metric = 0.00% * 4;
Minibatch[ 445- 445]: loss = 0.000790 * 4, metric = 0.00% * 4;
Minibatch[ 446- 446]: loss = 0.000787 * 4, metric = 0.00% * 4;
Minibatch[ 447- 447]: loss = 0.000784 * 4, metric = 0.00% * 4;
Minibatch[ 448- 448]: loss = 0.000781 * 4, metric = 0.00% * 4;
Minibatch[ 449- 449]: loss = 0.000779 * 4, metric = 0.00% * 4;
Minibatch[ 450- 450]: loss = 0.000776 * 4, metric = 0.00% * 4;
Minibatch[ 451- 451]: loss = 0.000773 * 4, metric = 0.00% * 4;
Minibatch[ 452- 452]: loss = 0.000771 * 4, metric = 0.00% * 4;
Minibatch[ 453- 453]: loss = 0.000768 * 4, metric = 0.00% * 4;
Minibatch[ 454- 454]: loss = 0.000766 * 4, metric = 0.00% * 4;
Minibatch[ 455- 455]: loss = 0.000763 * 4, metric = 0.00% * 4;
Minibatch[ 456- 456]: loss = 0.000760 * 4, metric = 0.00% * 4;
Minibatch[ 457- 457]: loss = 0.000758 * 4, metric = 0.00% * 4;
Minibatch[ 458- 458]: loss = 0.000755 * 4, metric = 0.00% * 4;
Minibatch[ 459- 459]: loss = 0.000752 * 4, metric = 0.00% * 4;
Minibatch[ 460- 460]: loss = 0.000751 * 4, metric = 0.00% * 4;
Minibatch[ 461- 461]: loss = 0.000748 * 4, metric = 0.00% * 4;
Minibatch[ 462- 462]: loss = 0.000745 * 4, metric = 0.00% * 4;
Minibatch[ 463- 463]: loss = 0.000743 * 4, metric = 0.00% * 4;
Minibatch[ 464- 464]: loss = 0.000740 * 4, metric = 0.00% * 4;
Minibatch[ 465- 465]: loss = 0.000738 * 4, metric = 0.00% * 4;
Minibatch[ 466- 466]: loss = 0.000735 * 4, metric = 0.00% * 4;
Minibatch[ 467- 467]: loss = 0.000733 * 4, metric = 0.00% * 4;
Minibatch[ 468- 468]: loss = 0.000731 * 4, metric = 0.00% * 4;
Minibatch[ 469- 469]: loss = 0.000729 * 4, metric = 0.00% * 4;
Minibatch[ 470- 470]: loss = 0.000726 * 4, metric = 0.00% * 4;
Minibatch[ 471- 471]: loss = 0.000724 * 4, metric = 0.00% * 4;
Minibatch[ 472- 472]: loss = 0.000721 * 4, metric = 0.00% * 4;
Minibatch[ 473- 473]: loss = 0.000719 * 4, metric = 0.00% * 4;
Minibatch[ 474- 474]: loss = 0.000716 * 4, metric = 0.00% * 4;
Minibatch[ 475- 475]: loss = 0.000714 * 4, metric = 0.00% * 4;
Minibatch[ 476- 476]: loss = 0.000711 * 4, metric = 0.00% * 4;
Minibatch[ 477- 477]: loss = 0.000710 * 4, metric = 0.00% * 4;
Minibatch[ 478- 478]: loss = 0.000708 * 4, metric = 0.00% * 4;
Minibatch[ 479- 479]: loss = 0.000705 * 4, metric = 0.00% * 4;
Minibatch[ 480- 480]: loss = 0.000703 * 4, metric = 0.00% * 4;
Minibatch[ 481- 481]: loss = 0.000700 * 4, metric = 0.00% * 4;
Minibatch[ 482- 482]: loss = 0.000698 * 4, metric = 0.00% * 4;
Minibatch[ 483- 483]: loss = 0.000696 * 4, metric = 0.00% * 4;
Minibatch[ 484- 484]: loss = 0.000693 * 4, metric = 0.00% * 4;
Minibatch[ 485- 485]: loss = 0.000691 * 4, metric = 0.00% * 4;
Minibatch[ 486- 486]: loss = 0.000690 * 4, metric = 0.00% * 4;
Minibatch[ 487- 487]: loss = 0.000688 * 4, metric = 0.00% * 4;
Minibatch[ 488- 488]: loss = 0.000685 * 4, metric = 0.00% * 4;
Minibatch[ 489- 489]: loss = 0.000683 * 4, metric = 0.00% * 4;
Minibatch[ 490- 490]: loss = 0.000681 * 4, metric = 0.00% * 4;
Minibatch[ 491- 491]: loss = 0.000679 * 4, metric = 0.00% * 4;
Minibatch[ 492- 492]: loss = 0.000676 * 4, metric = 0.00% * 4;
Minibatch[ 493- 493]: loss = 0.000674 * 4, metric = 0.00% * 4;
Minibatch[ 494- 494]: loss = 0.000672 * 4, metric = 0.00% * 4;
Minibatch[ 495- 495]: loss = 0.000670 * 4, metric = 0.00% * 4;
Minibatch[ 496- 496]: loss = 0.000668 * 4, metric = 0.00% * 4;
Minibatch[ 497- 497]: loss = 0.000666 * 4, metric = 0.00% * 4;
Minibatch[ 498- 498]: loss = 0.000664 * 4, metric = 0.00% * 4;
Minibatch[ 499- 499]: loss = 0.000662 * 4, metric = 0.00% * 4;
Minibatch[ 500- 500]: loss = 0.000660 * 4, metric = 0.00% * 4;
Minibatch[ 501- 501]: loss = 0.000658 * 4, metric = 0.00% * 4;
Minibatch[ 502- 502]: loss = 0.000656 * 4, metric = 0.00% * 4;
Minibatch[ 503- 503]: loss = 0.000654 * 4, metric = 0.00% * 4;
Minibatch[ 504- 504]: loss = 0.000651 * 4, metric = 0.00% * 4;
Minibatch[ 505- 505]: loss = 0.000649 * 4, metric = 0.00% * 4;
Minibatch[ 506- 506]: loss = 0.000648 * 4, metric = 0.00% * 4;
Minibatch[ 507- 507]: loss = 0.000646 * 4, metric = 0.00% * 4;
Minibatch[ 508- 508]: loss = 0.000644 * 4, metric = 0.00% * 4;
Minibatch[ 509- 509]: loss = 0.000642 * 4, metric = 0.00% * 4;
Minibatch[ 510- 510]: loss = 0.000640 * 4, metric = 0.00% * 4;
Minibatch[ 511- 511]: loss = 0.000638 * 4, metric = 0.00% * 4;
Minibatch[ 512- 512]: loss = 0.000636 * 4, metric = 0.00% * 4;
Minibatch[ 513- 513]: loss = 0.000634 * 4, metric = 0.00% * 4;
Minibatch[ 514- 514]: loss = 0.000632 * 4, metric = 0.00% * 4;
Minibatch[ 515- 515]: loss = 0.000630 * 4, metric = 0.00% * 4;
Minibatch[ 516- 516]: loss = 0.000628 * 4, metric = 0.00% * 4;
Minibatch[ 517- 517]: loss = 0.000627 * 4, metric = 0.00% * 4;
Minibatch[ 518- 518]: loss = 0.000625 * 4, metric = 0.00% * 4;
Minibatch[ 519- 519]: loss = 0.000623 * 4, metric = 0.00% * 4;
Minibatch[ 520- 520]: loss = 0.000621 * 4, metric = 0.00% * 4;
Minibatch[ 521- 521]: loss = 0.000619 * 4, metric = 0.00% * 4;
Minibatch[ 522- 522]: loss = 0.000618 * 4, metric = 0.00% * 4;
Minibatch[ 523- 523]: loss = 0.000616 * 4, metric = 0.00% * 4;
Minibatch[ 524- 524]: loss = 0.000614 * 4, metric = 0.00% * 4;
Minibatch[ 525- 525]: loss = 0.000612 * 4, metric = 0.00% * 4;
Minibatch[ 526- 526]: loss = 0.000610 * 4, metric = 0.00% * 4;
Minibatch[ 527- 527]: loss = 0.000608 * 4, metric = 0.00% * 4;
Minibatch[ 528- 528]: loss = 0.000607 * 4, metric = 0.00% * 4;
Minibatch[ 529- 529]: loss = 0.000605 * 4, metric = 0.00% * 4;
Minibatch[ 530- 530]: loss = 0.000604 * 4, metric = 0.00% * 4;
Minibatch[ 531- 531]: loss = 0.000602 * 4, metric = 0.00% * 4;
Minibatch[ 532- 532]: loss = 0.000600 * 4, metric = 0.00% * 4;
Minibatch[ 533- 533]: loss = 0.000598 * 4, metric = 0.00% * 4;
Minibatch[ 534- 534]: loss = 0.000596 * 4, metric = 0.00% * 4;
Minibatch[ 535- 535]: loss = 0.000594 * 4, metric = 0.00% * 4;
Minibatch[ 536- 536]: loss = 0.000593 * 4, metric = 0.00% * 4;
Minibatch[ 537- 537]: loss = 0.000591 * 4, metric = 0.00% * 4;
Minibatch[ 538- 538]: loss = 0.000589 * 4, metric = 0.00% * 4;
Minibatch[ 539- 539]: loss = 0.000587 * 4, metric = 0.00% * 4;
Minibatch[ 540- 540]: loss = 0.000587 * 4, metric = 0.00% * 4;
Minibatch[ 541- 541]: loss = 0.000585 * 4, metric = 0.00% * 4;
Minibatch[ 542- 542]: loss = 0.000583 * 4, metric = 0.00% * 4;
Minibatch[ 543- 543]: loss = 0.000581 * 4, metric = 0.00% * 4;
Minibatch[ 544- 544]: loss = 0.000580 * 4, metric = 0.00% * 4;
Minibatch[ 545- 545]: loss = 0.000578 * 4, metric = 0.00% * 4;
Minibatch[ 546- 546]: loss = 0.000576 * 4, metric = 0.00% * 4;
Minibatch[ 547- 547]: loss = 0.000575 * 4, metric = 0.00% * 4;
Minibatch[ 548- 548]: loss = 0.000573 * 4, metric = 0.00% * 4;
Minibatch[ 549- 549]: loss = 0.000571 * 4, metric = 0.00% * 4;
Minibatch[ 550- 550]: loss = 0.000569 * 4, metric = 0.00% * 4;
Minibatch[ 551- 551]: loss = 0.000568 * 4, metric = 0.00% * 4;
Minibatch[ 552- 552]: loss = 0.000566 * 4, metric = 0.00% * 4;
Minibatch[ 553- 553]: loss = 0.000566 * 4, metric = 0.00% * 4;
Minibatch[ 554- 554]: loss = 0.000564 * 4, metric = 0.00% * 4;
Minibatch[ 555- 555]: loss = 0.000562 * 4, metric = 0.00% * 4;
Minibatch[ 556- 556]: loss = 0.000561 * 4, metric = 0.00% * 4;
Minibatch[ 557- 557]: loss = 0.000559 * 4, metric = 0.00% * 4;
Minibatch[ 558- 558]: loss = 0.000557 * 4, metric = 0.00% * 4;
Minibatch[ 559- 559]: loss = 0.000556 * 4, metric = 0.00% * 4;
Minibatch[ 560- 560]: loss = 0.000554 * 4, metric = 0.00% * 4;
Minibatch[ 561- 561]: loss = 0.000553 * 4, metric = 0.00% * 4;
Minibatch[ 562- 562]: loss = 0.000551 * 4, metric = 0.00% * 4;
Minibatch[ 563- 563]: loss = 0.000549 * 4, metric = 0.00% * 4;
Minibatch[ 564- 564]: loss = 0.000548 * 4, metric = 0.00% * 4;
Minibatch[ 565- 565]: loss = 0.000546 * 4, metric = 0.00% * 4;
Minibatch[ 566- 566]: loss = 0.000546 * 4, metric = 0.00% * 4;
Minibatch[ 567- 567]: loss = 0.000544 * 4, metric = 0.00% * 4;
Minibatch[ 568- 568]: loss = 0.000543 * 4, metric = 0.00% * 4;
Minibatch[ 569- 569]: loss = 0.000541 * 4, metric = 0.00% * 4;
Minibatch[ 570- 570]: loss = 0.000540 * 4, metric = 0.00% * 4;
Minibatch[ 571- 571]: loss = 0.000538 * 4, metric = 0.00% * 4;
Minibatch[ 572- 572]: loss = 0.000536 * 4, metric = 0.00% * 4;
Minibatch[ 573- 573]: loss = 0.000535 * 4, metric = 0.00% * 4;
Minibatch[ 574- 574]: loss = 0.000533 * 4, metric = 0.00% * 4;
Minibatch[ 575- 575]: loss = 0.000532 * 4, metric = 0.00% * 4;
Minibatch[ 576- 576]: loss = 0.000530 * 4, metric = 0.00% * 4;
Minibatch[ 577- 577]: loss = 0.000529 * 4, metric = 0.00% * 4;
Minibatch[ 578- 578]: loss = 0.000528 * 4, metric = 0.00% * 4;
Minibatch[ 579- 579]: loss = 0.000526 * 4, metric = 0.00% * 4;
Minibatch[ 580- 580]: loss = 0.000525 * 4, metric = 0.00% * 4;
Minibatch[ 581- 581]: loss = 0.000524 * 4, metric = 0.00% * 4;
Minibatch[ 582- 582]: loss = 0.000523 * 4, metric = 0.00% * 4;
Minibatch[ 583- 583]: loss = 0.000521 * 4, metric = 0.00% * 4;
Minibatch[ 584- 584]: loss = 0.000520 * 4, metric = 0.00% * 4;
Minibatch[ 585- 585]: loss = 0.000518 * 4, metric = 0.00% * 4;
Minibatch[ 586- 586]: loss = 0.000517 * 4, metric = 0.00% * 4;
Minibatch[ 587- 587]: loss = 0.000515 * 4, metric = 0.00% * 4;
Minibatch[ 588- 588]: loss = 0.000514 * 4, metric = 0.00% * 4;
Minibatch[ 589- 589]: loss = 0.000513 * 4, metric = 0.00% * 4;
Minibatch[ 590- 590]: loss = 0.000511 * 4, metric = 0.00% * 4;
Minibatch[ 591- 591]: loss = 0.000510 * 4, metric = 0.00% * 4;
Minibatch[ 592- 592]: loss = 0.000509 * 4, metric = 0.00% * 4;
Minibatch[ 593- 593]: loss = 0.000507 * 4, metric = 0.00% * 4;
Minibatch[ 594- 594]: loss = 0.000506 * 4, metric = 0.00% * 4;
Minibatch[ 595- 595]: loss = 0.000504 * 4, metric = 0.00% * 4;
Minibatch[ 596- 596]: loss = 0.000504 * 4, metric = 0.00% * 4;
Minibatch[ 597- 597]: loss = 0.000503 * 4, metric = 0.00% * 4;
Minibatch[ 598- 598]: loss = 0.000501 * 4, metric = 0.00% * 4;
Minibatch[ 599- 599]: loss = 0.000500 * 4, metric = 0.00% * 4;
Minibatch[ 600- 600]: loss = 0.000499 * 4, metric = 0.00% * 4;
Minibatch[ 601- 601]: loss = 0.000497 * 4, metric = 0.00% * 4;
Minibatch[ 602- 602]: loss = 0.000496 * 4, metric = 0.00% * 4;
Minibatch[ 603- 603]: loss = 0.000495 * 4, metric = 0.00% * 4;
Minibatch[ 604- 604]: loss = 0.000493 * 4, metric = 0.00% * 4;
Minibatch[ 605- 605]: loss = 0.000492 * 4, metric = 0.00% * 4;
Minibatch[ 606- 606]: loss = 0.000491 * 4, metric = 0.00% * 4;
Minibatch[ 607- 607]: loss = 0.000489 * 4, metric = 0.00% * 4;
Minibatch[ 608- 608]: loss = 0.000488 * 4, metric = 0.00% * 4;
Minibatch[ 609- 609]: loss = 0.000487 * 4, metric = 0.00% * 4;
Minibatch[ 610- 610]: loss = 0.000485 * 4, metric = 0.00% * 4;
Minibatch[ 611- 611]: loss = 0.000484 * 4, metric = 0.00% * 4;
Minibatch[ 612- 612]: loss = 0.000484 * 4, metric = 0.00% * 4;
Minibatch[ 613- 613]: loss = 0.000483 * 4, metric = 0.00% * 4;
Minibatch[ 614- 614]: loss = 0.000481 * 4, metric = 0.00% * 4;
Minibatch[ 615- 615]: loss = 0.000480 * 4, metric = 0.00% * 4;
Minibatch[ 616- 616]: loss = 0.000479 * 4, metric = 0.00% * 4;
Minibatch[ 617- 617]: loss = 0.000478 * 4, metric = 0.00% * 4;
Minibatch[ 618- 618]: loss = 0.000476 * 4, metric = 0.00% * 4;
Minibatch[ 619- 619]: loss = 0.000475 * 4, metric = 0.00% * 4;
Minibatch[ 620- 620]: loss = 0.000474 * 4, metric = 0.00% * 4;
Minibatch[ 621- 621]: loss = 0.000473 * 4, metric = 0.00% * 4;
Minibatch[ 622- 622]: loss = 0.000471 * 4, metric = 0.00% * 4;
Minibatch[ 623- 623]: loss = 0.000470 * 4, metric = 0.00% * 4;
Minibatch[ 624- 624]: loss = 0.000469 * 4, metric = 0.00% * 4;
Minibatch[ 625- 625]: loss = 0.000468 * 4, metric = 0.00% * 4;
Minibatch[ 626- 626]: loss = 0.000467 * 4, metric = 0.00% * 4;
Minibatch[ 627- 627]: loss = 0.000465 * 4, metric = 0.00% * 4;
Minibatch[ 628- 628]: loss = 0.000464 * 4, metric = 0.00% * 4;
Minibatch[ 629- 629]: loss = 0.000463 * 4, metric = 0.00% * 4;
Minibatch[ 630- 630]: loss = 0.000463 * 4, metric = 0.00% * 4;
Minibatch[ 631- 631]: loss = 0.000462 * 4, metric = 0.00% * 4;
Minibatch[ 632- 632]: loss = 0.000460 * 4, metric = 0.00% * 4;
Minibatch[ 633- 633]: loss = 0.000459 * 4, metric = 0.00% * 4;
Minibatch[ 634- 634]: loss = 0.000458 * 4, metric = 0.00% * 4;
Minibatch[ 635- 635]: loss = 0.000457 * 4, metric = 0.00% * 4;
Minibatch[ 636- 636]: loss = 0.000456 * 4, metric = 0.00% * 4;
Minibatch[ 637- 637]: loss = 0.000455 * 4, metric = 0.00% * 4;
Minibatch[ 638- 638]: loss = 0.000453 * 4, metric = 0.00% * 4;
Minibatch[ 639- 639]: loss = 0.000452 * 4, metric = 0.00% * 4;
Minibatch[ 640- 640]: loss = 0.000451 * 4, metric = 0.00% * 4;
Minibatch[ 641- 641]: loss = 0.000450 * 4, metric = 0.00% * 4;
Minibatch[ 642- 642]: loss = 0.000449 * 4, metric = 0.00% * 4;
Minibatch[ 643- 643]: loss = 0.000448 * 4, metric = 0.00% * 4;
Minibatch[ 644- 644]: loss = 0.000447 * 4, metric = 0.00% * 4;
Minibatch[ 645- 645]: loss = 0.000446 * 4, metric = 0.00% * 4;
Minibatch[ 646- 646]: loss = 0.000444 * 4, metric = 0.00% * 4;
Minibatch[ 647- 647]: loss = 0.000443 * 4, metric = 0.00% * 4;
Minibatch[ 648- 648]: loss = 0.000443 * 4, metric = 0.00% * 4;
Minibatch[ 649- 649]: loss = 0.000442 * 4, metric = 0.00% * 4;
Minibatch[ 650- 650]: loss = 0.000441 * 4, metric = 0.00% * 4;
Minibatch[ 651- 651]: loss = 0.000440 * 4, metric = 0.00% * 4;
Minibatch[ 652- 652]: loss = 0.000439 * 4, metric = 0.00% * 4;
Minibatch[ 653- 653]: loss = 0.000438 * 4, metric = 0.00% * 4;
Minibatch[ 654- 654]: loss = 0.000437 * 4, metric = 0.00% * 4;
Minibatch[ 655- 655]: loss = 0.000436 * 4, metric = 0.00% * 4;
Minibatch[ 656- 656]: loss = 0.000435 * 4, metric = 0.00% * 4;
Minibatch[ 657- 657]: loss = 0.000433 * 4, metric = 0.00% * 4;
Minibatch[ 658- 658]: loss = 0.000432 * 4, metric = 0.00% * 4;
Minibatch[ 659- 659]: loss = 0.000431 * 4, metric = 0.00% * 4;
Minibatch[ 660- 660]: loss = 0.000430 * 4, metric = 0.00% * 4;
Minibatch[ 661- 661]: loss = 0.000429 * 4, metric = 0.00% * 4;
Minibatch[ 662- 662]: loss = 0.000428 * 4, metric = 0.00% * 4;
Minibatch[ 663- 663]: loss = 0.000427 * 4, metric = 0.00% * 4;
Minibatch[ 664- 664]: loss = 0.000426 * 4, metric = 0.00% * 4;
Minibatch[ 665- 665]: loss = 0.000425 * 4, metric = 0.00% * 4;
Minibatch[ 666- 666]: loss = 0.000424 * 4, metric = 0.00% * 4;
Minibatch[ 667- 667]: loss = 0.000423 * 4, metric = 0.00% * 4;
Minibatch[ 668- 668]: loss = 0.000422 * 4, metric = 0.00% * 4;
Minibatch[ 669- 669]: loss = 0.000422 * 4, metric = 0.00% * 4;
Minibatch[ 670- 670]: loss = 0.000421 * 4, metric = 0.00% * 4;
Minibatch[ 671- 671]: loss = 0.000420 * 4, metric = 0.00% * 4;
Minibatch[ 672- 672]: loss = 0.000419 * 4, metric = 0.00% * 4;
Minibatch[ 673- 673]: loss = 0.000418 * 4, metric = 0.00% * 4;
Minibatch[ 674- 674]: loss = 0.000417 * 4, metric = 0.00% * 4;
Minibatch[ 675- 675]: loss = 0.000416 * 4, metric = 0.00% * 4;
Minibatch[ 676- 676]: loss = 0.000415 * 4, metric = 0.00% * 4;
Minibatch[ 677- 677]: loss = 0.000414 * 4, metric = 0.00% * 4;
Minibatch[ 678- 678]: loss = 0.000413 * 4, metric = 0.00% * 4;
Minibatch[ 679- 679]: loss = 0.000412 * 4, metric = 0.00% * 4;
Minibatch[ 680- 680]: loss = 0.000411 * 4, metric = 0.00% * 4;
Minibatch[ 681- 681]: loss = 0.000410 * 4, metric = 0.00% * 4;
Minibatch[ 682- 682]: loss = 0.000409 * 4, metric = 0.00% * 4;
Minibatch[ 683- 683]: loss = 0.000408 * 4, metric = 0.00% * 4;
Minibatch[ 684- 684]: loss = 0.000407 * 4, metric = 0.00% * 4;
Minibatch[ 685- 685]: loss = 0.000406 * 4, metric = 0.00% * 4;
Minibatch[ 686- 686]: loss = 0.000405 * 4, metric = 0.00% * 4;
Minibatch[ 687- 687]: loss = 0.000404 * 4, metric = 0.00% * 4;
Minibatch[ 688- 688]: loss = 0.000403 * 4, metric = 0.00% * 4;
Minibatch[ 689- 689]: loss = 0.000402 * 4, metric = 0.00% * 4;
Minibatch[ 690- 690]: loss = 0.000401 * 4, metric = 0.00% * 4;
Minibatch[ 691- 691]: loss = 0.000401 * 4, metric = 0.00% * 4;
Minibatch[ 692- 692]: loss = 0.000401 * 4, metric = 0.00% * 4;
Minibatch[ 693- 693]: loss = 0.000400 * 4, metric = 0.00% * 4;
Minibatch[ 694- 694]: loss = 0.000399 * 4, metric = 0.00% * 4;
Minibatch[ 695- 695]: loss = 0.000398 * 4, metric = 0.00% * 4;
Minibatch[ 696- 696]: loss = 0.000397 * 4, metric = 0.00% * 4;
Minibatch[ 697- 697]: loss = 0.000396 * 4, metric = 0.00% * 4;
Minibatch[ 698- 698]: loss = 0.000395 * 4, metric = 0.00% * 4;
Minibatch[ 699- 699]: loss = 0.000394 * 4, metric = 0.00% * 4;
Minibatch[ 700- 700]: loss = 0.000393 * 4, metric = 0.00% * 4;
Minibatch[ 701- 701]: loss = 0.000392 * 4, metric = 0.00% * 4;
Minibatch[ 702- 702]: loss = 0.000391 * 4, metric = 0.00% * 4;
Minibatch[ 703- 703]: loss = 0.000390 * 4, metric = 0.00% * 4;
Minibatch[ 704- 704]: loss = 0.000390 * 4, metric = 0.00% * 4;
Minibatch[ 705- 705]: loss = 0.000389 * 4, metric = 0.00% * 4;
Minibatch[ 706- 706]: loss = 0.000388 * 4, metric = 0.00% * 4;
Minibatch[ 707- 707]: loss = 0.000387 * 4, metric = 0.00% * 4;
Minibatch[ 708- 708]: loss = 0.000386 * 4, metric = 0.00% * 4;
Minibatch[ 709- 709]: loss = 0.000385 * 4, metric = 0.00% * 4;
Minibatch[ 710- 710]: loss = 0.000384 * 4, metric = 0.00% * 4;
Minibatch[ 711- 711]: loss = 0.000383 * 4, metric = 0.00% * 4;
Minibatch[ 712- 712]: loss = 0.000383 * 4, metric = 0.00% * 4;
Minibatch[ 713- 713]: loss = 0.000382 * 4, metric = 0.00% * 4;
Minibatch[ 714- 714]: loss = 0.000381 * 4, metric = 0.00% * 4;
Minibatch[ 715- 715]: loss = 0.000381 * 4, metric = 0.00% * 4;
Minibatch[ 716- 716]: loss = 0.000380 * 4, metric = 0.00% * 4;
Minibatch[ 717- 717]: loss = 0.000379 * 4, metric = 0.00% * 4;
Minibatch[ 718- 718]: loss = 0.000378 * 4, metric = 0.00% * 4;
Minibatch[ 719- 719]: loss = 0.000378 * 4, metric = 0.00% * 4;
Minibatch[ 720- 720]: loss = 0.000377 * 4, metric = 0.00% * 4;
Minibatch[ 721- 721]: loss = 0.000376 * 4, metric = 0.00% * 4;
Minibatch[ 722- 722]: loss = 0.000375 * 4, metric = 0.00% * 4;
Minibatch[ 723- 723]: loss = 0.000374 * 4, metric = 0.00% * 4;
Minibatch[ 724- 724]: loss = 0.000373 * 4, metric = 0.00% * 4;
Minibatch[ 725- 725]: loss = 0.000372 * 4, metric = 0.00% * 4;
Minibatch[ 726- 726]: loss = 0.000372 * 4, metric = 0.00% * 4;
Minibatch[ 727- 727]: loss = 0.000371 * 4, metric = 0.00% * 4;
Minibatch[ 728- 728]: loss = 0.000370 * 4, metric = 0.00% * 4;
Minibatch[ 729- 729]: loss = 0.000369 * 4, metric = 0.00% * 4;
Minibatch[ 730- 730]: loss = 0.000368 * 4, metric = 0.00% * 4;
Minibatch[ 731- 731]: loss = 0.000368 * 4, metric = 0.00% * 4;
Minibatch[ 732- 732]: loss = 0.000367 * 4, metric = 0.00% * 4;
Minibatch[ 733- 733]: loss = 0.000366 * 4, metric = 0.00% * 4;
Minibatch[ 734- 734]: loss = 0.000365 * 4, metric = 0.00% * 4;
Minibatch[ 735- 735]: loss = 0.000364 * 4, metric = 0.00% * 4;
Minibatch[ 736- 736]: loss = 0.000364 * 4, metric = 0.00% * 4;
Minibatch[ 737- 737]: loss = 0.000363 * 4, metric = 0.00% * 4;
Minibatch[ 738- 738]: loss = 0.000362 * 4, metric = 0.00% * 4;
Minibatch[ 739- 739]: loss = 0.000361 * 4, metric = 0.00% * 4;
Minibatch[ 740- 740]: loss = 0.000360 * 4, metric = 0.00% * 4;
Minibatch[ 741- 741]: loss = 0.000360 * 4, metric = 0.00% * 4;
Minibatch[ 742- 742]: loss = 0.000360 * 4, metric = 0.00% * 4;
Minibatch[ 743- 743]: loss = 0.000359 * 4, metric = 0.00% * 4;
Minibatch[ 744- 744]: loss = 0.000358 * 4, metric = 0.00% * 4;
Minibatch[ 745- 745]: loss = 0.000357 * 4, metric = 0.00% * 4;
Minibatch[ 746- 746]: loss = 0.000357 * 4, metric = 0.00% * 4;
Minibatch[ 747- 747]: loss = 0.000356 * 4, metric = 0.00% * 4;
Minibatch[ 748- 748]: loss = 0.000355 * 4, metric = 0.00% * 4;
Minibatch[ 749- 749]: loss = 0.000354 * 4, metric = 0.00% * 4;
Minibatch[ 750- 750]: loss = 0.000354 * 4, metric = 0.00% * 4;
Minibatch[ 751- 751]: loss = 0.000353 * 4, metric = 0.00% * 4;
Minibatch[ 752- 752]: loss = 0.000352 * 4, metric = 0.00% * 4;
Minibatch[ 753- 753]: loss = 0.000351 * 4, metric = 0.00% * 4;
Minibatch[ 754- 754]: loss = 0.000351 * 4, metric = 0.00% * 4;
Minibatch[ 755- 755]: loss = 0.000350 * 4, metric = 0.00% * 4;
Minibatch[ 756- 756]: loss = 0.000349 * 4, metric = 0.00% * 4;
Minibatch[ 757- 757]: loss = 0.000348 * 4, metric = 0.00% * 4;
Minibatch[ 758- 758]: loss = 0.000348 * 4, metric = 0.00% * 4;
Minibatch[ 759- 759]: loss = 0.000347 * 4, metric = 0.00% * 4;
Minibatch[ 760- 760]: loss = 0.000346 * 4, metric = 0.00% * 4;
Minibatch[ 761- 761]: loss = 0.000345 * 4, metric = 0.00% * 4;
Minibatch[ 762- 762]: loss = 0.000345 * 4, metric = 0.00% * 4;
Minibatch[ 763- 763]: loss = 0.000344 * 4, metric = 0.00% * 4;
Minibatch[ 764- 764]: loss = 0.000343 * 4, metric = 0.00% * 4;
Minibatch[ 765- 765]: loss = 0.000342 * 4, metric = 0.00% * 4;
Minibatch[ 766- 766]: loss = 0.000342 * 4, metric = 0.00% * 4;
Minibatch[ 767- 767]: loss = 0.000341 * 4, metric = 0.00% * 4;
Minibatch[ 768- 768]: loss = 0.000340 * 4, metric = 0.00% * 4;
Minibatch[ 769- 769]: loss = 0.000340 * 4, metric = 0.00% * 4;
Minibatch[ 770- 770]: loss = 0.000340 * 4, metric = 0.00% * 4;
Minibatch[ 771- 771]: loss = 0.000339 * 4, metric = 0.00% * 4;
Minibatch[ 772- 772]: loss = 0.000338 * 4, metric = 0.00% * 4;
Minibatch[ 773- 773]: loss = 0.000338 * 4, metric = 0.00% * 4;
Minibatch[ 774- 774]: loss = 0.000337 * 4, metric = 0.00% * 4;
Minibatch[ 775- 775]: loss = 0.000336 * 4, metric = 0.00% * 4;
Minibatch[ 776- 776]: loss = 0.000336 * 4, metric = 0.00% * 4;
Minibatch[ 777- 777]: loss = 0.000335 * 4, metric = 0.00% * 4;
Minibatch[ 778- 778]: loss = 0.000334 * 4, metric = 0.00% * 4;
Minibatch[ 779- 779]: loss = 0.000334 * 4, metric = 0.00% * 4;
Minibatch[ 780- 780]: loss = 0.000333 * 4, metric = 0.00% * 4;
Minibatch[ 781- 781]: loss = 0.000332 * 4, metric = 0.00% * 4;
Minibatch[ 782- 782]: loss = 0.000332 * 4, metric = 0.00% * 4;
Minibatch[ 783- 783]: loss = 0.000331 * 4, metric = 0.00% * 4;
Minibatch[ 784- 784]: loss = 0.000330 * 4, metric = 0.00% * 4;
Minibatch[ 785- 785]: loss = 0.000329 * 4, metric = 0.00% * 4;
Minibatch[ 786- 786]: loss = 0.000329 * 4, metric = 0.00% * 4;
Minibatch[ 787- 787]: loss = 0.000328 * 4, metric = 0.00% * 4;
Minibatch[ 788- 788]: loss = 0.000327 * 4, metric = 0.00% * 4;
Minibatch[ 789- 789]: loss = 0.000327 * 4, metric = 0.00% * 4;
Minibatch[ 790- 790]: loss = 0.000326 * 4, metric = 0.00% * 4;
Minibatch[ 791- 791]: loss = 0.000325 * 4, metric = 0.00% * 4;
Minibatch[ 792- 792]: loss = 0.000325 * 4, metric = 0.00% * 4;
Minibatch[ 793- 793]: loss = 0.000324 * 4, metric = 0.00% * 4;
Minibatch[ 794- 794]: loss = 0.000323 * 4, metric = 0.00% * 4;
Minibatch[ 795- 795]: loss = 0.000323 * 4, metric = 0.00% * 4;
Minibatch[ 796- 796]: loss = 0.000322 * 4, metric = 0.00% * 4;
Minibatch[ 797- 797]: loss = 0.000321 * 4, metric = 0.00% * 4;
Minibatch[ 798- 798]: loss = 0.000321 * 4, metric = 0.00% * 4;
Minibatch[ 799- 799]: loss = 0.000320 * 4, metric = 0.00% * 4;
Minibatch[ 800- 800]: loss = 0.000320 * 4, metric = 0.00% * 4;
Minibatch[ 801- 801]: loss = 0.000319 * 4, metric = 0.00% * 4;
Minibatch[ 802- 802]: loss = 0.000319 * 4, metric = 0.00% * 4;
Minibatch[ 803- 803]: loss = 0.000319 * 4, metric = 0.00% * 4;
Minibatch[ 804- 804]: loss = 0.000318 * 4, metric = 0.00% * 4;
Minibatch[ 805- 805]: loss = 0.000317 * 4, metric = 0.00% * 4;
Minibatch[ 806- 806]: loss = 0.000317 * 4, metric = 0.00% * 4;
Minibatch[ 807- 807]: loss = 0.000316 * 4, metric = 0.00% * 4;
Minibatch[ 808- 808]: loss = 0.000315 * 4, metric = 0.00% * 4;
Minibatch[ 809- 809]: loss = 0.000315 * 4, metric = 0.00% * 4;
Minibatch[ 810- 810]: loss = 0.000314 * 4, metric = 0.00% * 4;
Minibatch[ 811- 811]: loss = 0.000314 * 4, metric = 0.00% * 4;
Minibatch[ 812- 812]: loss = 0.000313 * 4, metric = 0.00% * 4;
Minibatch[ 813- 813]: loss = 0.000312 * 4, metric = 0.00% * 4;
Minibatch[ 814- 814]: loss = 0.000312 * 4, metric = 0.00% * 4;
Minibatch[ 815- 815]: loss = 0.000311 * 4, metric = 0.00% * 4;
Minibatch[ 816- 816]: loss = 0.000310 * 4, metric = 0.00% * 4;
Minibatch[ 817- 817]: loss = 0.000310 * 4, metric = 0.00% * 4;
Minibatch[ 818- 818]: loss = 0.000309 * 4, metric = 0.00% * 4;
Minibatch[ 819- 819]: loss = 0.000309 * 4, metric = 0.00% * 4;
Minibatch[ 820- 820]: loss = 0.000308 * 4, metric = 0.00% * 4;
Minibatch[ 821- 821]: loss = 0.000307 * 4, metric = 0.00% * 4;
Minibatch[ 822- 822]: loss = 0.000307 * 4, metric = 0.00% * 4;
Minibatch[ 823- 823]: loss = 0.000306 * 4, metric = 0.00% * 4;
Minibatch[ 824- 824]: loss = 0.000306 * 4, metric = 0.00% * 4;
Minibatch[ 825- 825]: loss = 0.000305 * 4, metric = 0.00% * 4;
Minibatch[ 826- 826]: loss = 0.000304 * 4, metric = 0.00% * 4;
Minibatch[ 827- 827]: loss = 0.000304 * 4, metric = 0.00% * 4;
Minibatch[ 828- 828]: loss = 0.000303 * 4, metric = 0.00% * 4;
Minibatch[ 829- 829]: loss = 0.000303 * 4, metric = 0.00% * 4;
Minibatch[ 830- 830]: loss = 0.000302 * 4, metric = 0.00% * 4;
Minibatch[ 831- 831]: loss = 0.000301 * 4, metric = 0.00% * 4;
Minibatch[ 832- 832]: loss = 0.000301 * 4, metric = 0.00% * 4;
Minibatch[ 833- 833]: loss = 0.000300 * 4, metric = 0.00% * 4;
Minibatch[ 834- 834]: loss = 0.000300 * 4, metric = 0.00% * 4;
Minibatch[ 835- 835]: loss = 0.000299 * 4, metric = 0.00% * 4;
Minibatch[ 836- 836]: loss = 0.000299 * 4, metric = 0.00% * 4;
Minibatch[ 837- 837]: loss = 0.000299 * 4, metric = 0.00% * 4;
Minibatch[ 838- 838]: loss = 0.000298 * 4, metric = 0.00% * 4;
Minibatch[ 839- 839]: loss = 0.000298 * 4, metric = 0.00% * 4;
Minibatch[ 840- 840]: loss = 0.000297 * 4, metric = 0.00% * 4;
Minibatch[ 841- 841]: loss = 0.000297 * 4, metric = 0.00% * 4;
Minibatch[ 842- 842]: loss = 0.000296 * 4, metric = 0.00% * 4;
Minibatch[ 843- 843]: loss = 0.000296 * 4, metric = 0.00% * 4;
Minibatch[ 844- 844]: loss = 0.000295 * 4, metric = 0.00% * 4;
Minibatch[ 845- 845]: loss = 0.000294 * 4, metric = 0.00% * 4;
Minibatch[ 846- 846]: loss = 0.000294 * 4, metric = 0.00% * 4;
Minibatch[ 847- 847]: loss = 0.000293 * 4, metric = 0.00% * 4;
Minibatch[ 848- 848]: loss = 0.000293 * 4, metric = 0.00% * 4;
Minibatch[ 849- 849]: loss = 0.000292 * 4, metric = 0.00% * 4;
Minibatch[ 850- 850]: loss = 0.000292 * 4, metric = 0.00% * 4;
Minibatch[ 851- 851]: loss = 0.000291 * 4, metric = 0.00% * 4;
Minibatch[ 852- 852]: loss = 0.000291 * 4, metric = 0.00% * 4;
Minibatch[ 853- 853]: loss = 0.000290 * 4, metric = 0.00% * 4;
Minibatch[ 854- 854]: loss = 0.000289 * 4, metric = 0.00% * 4;
Minibatch[ 855- 855]: loss = 0.000289 * 4, metric = 0.00% * 4;
Minibatch[ 856- 856]: loss = 0.000288 * 4, metric = 0.00% * 4;
Minibatch[ 857- 857]: loss = 0.000288 * 4, metric = 0.00% * 4;
Minibatch[ 858- 858]: loss = 0.000287 * 4, metric = 0.00% * 4;
Minibatch[ 859- 859]: loss = 0.000287 * 4, metric = 0.00% * 4;
Minibatch[ 860- 860]: loss = 0.000286 * 4, metric = 0.00% * 4;
Minibatch[ 861- 861]: loss = 0.000286 * 4, metric = 0.00% * 4;
Minibatch[ 862- 862]: loss = 0.000285 * 4, metric = 0.00% * 4;
Minibatch[ 863- 863]: loss = 0.000285 * 4, metric = 0.00% * 4;
Minibatch[ 864- 864]: loss = 0.000284 * 4, metric = 0.00% * 4;
Minibatch[ 865- 865]: loss = 0.000283 * 4, metric = 0.00% * 4;
Minibatch[ 866- 866]: loss = 0.000283 * 4, metric = 0.00% * 4;
Minibatch[ 867- 867]: loss = 0.000282 * 4, metric = 0.00% * 4;
Minibatch[ 868- 868]: loss = 0.000282 * 4, metric = 0.00% * 4;
Minibatch[ 869- 869]: loss = 0.000281 * 4, metric = 0.00% * 4;
Minibatch[ 870- 870]: loss = 0.000281 * 4, metric = 0.00% * 4;
Minibatch[ 871- 871]: loss = 0.000280 * 4, metric = 0.00% * 4;
Minibatch[ 872- 872]: loss = 0.000280 * 4, metric = 0.00% * 4;
Minibatch[ 873- 873]: loss = 0.000279 * 4, metric = 0.00% * 4;
Minibatch[ 874- 874]: loss = 0.000279 * 4, metric = 0.00% * 4;
Minibatch[ 875- 875]: loss = 0.000278 * 4, metric = 0.00% * 4;
Minibatch[ 876- 876]: loss = 0.000278 * 4, metric = 0.00% * 4;
Minibatch[ 877- 877]: loss = 0.000278 * 4, metric = 0.00% * 4;
Minibatch[ 878- 878]: loss = 0.000278 * 4, metric = 0.00% * 4;
Minibatch[ 879- 879]: loss = 0.000277 * 4, metric = 0.00% * 4;
Minibatch[ 880- 880]: loss = 0.000277 * 4, metric = 0.00% * 4;
Minibatch[ 881- 881]: loss = 0.000276 * 4, metric = 0.00% * 4;
Minibatch[ 882- 882]: loss = 0.000276 * 4, metric = 0.00% * 4;
Minibatch[ 883- 883]: loss = 0.000275 * 4, metric = 0.00% * 4;
Minibatch[ 884- 884]: loss = 0.000275 * 4, metric = 0.00% * 4;
Minibatch[ 885- 885]: loss = 0.000274 * 4, metric = 0.00% * 4;
Minibatch[ 886- 886]: loss = 0.000274 * 4, metric = 0.00% * 4;
Minibatch[ 887- 887]: loss = 0.000273 * 4, metric = 0.00% * 4;
Minibatch[ 888- 888]: loss = 0.000273 * 4, metric = 0.00% * 4;
Minibatch[ 889- 889]: loss = 0.000272 * 4, metric = 0.00% * 4;
Minibatch[ 890- 890]: loss = 0.000272 * 4, metric = 0.00% * 4;
Minibatch[ 891- 891]: loss = 0.000271 * 4, metric = 0.00% * 4;
Minibatch[ 892- 892]: loss = 0.000271 * 4, metric = 0.00% * 4;
Minibatch[ 893- 893]: loss = 0.000270 * 4, metric = 0.00% * 4;
Minibatch[ 894- 894]: loss = 0.000270 * 4, metric = 0.00% * 4;
Minibatch[ 895- 895]: loss = 0.000269 * 4, metric = 0.00% * 4;
Minibatch[ 896- 896]: loss = 0.000269 * 4, metric = 0.00% * 4;
Minibatch[ 897- 897]: loss = 0.000268 * 4, metric = 0.00% * 4;
Minibatch[ 898- 898]: loss = 0.000268 * 4, metric = 0.00% * 4;
Minibatch[ 899- 899]: loss = 0.000267 * 4, metric = 0.00% * 4;
Minibatch[ 900- 900]: loss = 0.000267 * 4, metric = 0.00% * 4;
Minibatch[ 901- 901]: loss = 0.000266 * 4, metric = 0.00% * 4;
Minibatch[ 902- 902]: loss = 0.000266 * 4, metric = 0.00% * 4;
Minibatch[ 903- 903]: loss = 0.000265 * 4, metric = 0.00% * 4;
Minibatch[ 904- 904]: loss = 0.000265 * 4, metric = 0.00% * 4;
Minibatch[ 905- 905]: loss = 0.000264 * 4, metric = 0.00% * 4;
Minibatch[ 906- 906]: loss = 0.000264 * 4, metric = 0.00% * 4;
Minibatch[ 907- 907]: loss = 0.000264 * 4, metric = 0.00% * 4;
Minibatch[ 908- 908]: loss = 0.000263 * 4, metric = 0.00% * 4;
Minibatch[ 909- 909]: loss = 0.000263 * 4, metric = 0.00% * 4;
Minibatch[ 910- 910]: loss = 0.000262 * 4, metric = 0.00% * 4;
Minibatch[ 911- 911]: loss = 0.000262 * 4, metric = 0.00% * 4;
Minibatch[ 912- 912]: loss = 0.000261 * 4, metric = 0.00% * 4;
Minibatch[ 913- 913]: loss = 0.000261 * 4, metric = 0.00% * 4;
Minibatch[ 914- 914]: loss = 0.000260 * 4, metric = 0.00% * 4;
Minibatch[ 915- 915]: loss = 0.000260 * 4, metric = 0.00% * 4;
Minibatch[ 916- 916]: loss = 0.000259 * 4, metric = 0.00% * 4;
Minibatch[ 917- 917]: loss = 0.000259 * 4, metric = 0.00% * 4;
Minibatch[ 918- 918]: loss = 0.000258 * 4, metric = 0.00% * 4;
Minibatch[ 919- 919]: loss = 0.000258 * 4, metric = 0.00% * 4;
Minibatch[ 920- 920]: loss = 0.000258 * 4, metric = 0.00% * 4;
Minibatch[ 921- 921]: loss = 0.000257 * 4, metric = 0.00% * 4;
Minibatch[ 922- 922]: loss = 0.000257 * 4, metric = 0.00% * 4;
Minibatch[ 923- 923]: loss = 0.000257 * 4, metric = 0.00% * 4;
Minibatch[ 924- 924]: loss = 0.000257 * 4, metric = 0.00% * 4;
Minibatch[ 925- 925]: loss = 0.000256 * 4, metric = 0.00% * 4;
Minibatch[ 926- 926]: loss = 0.000256 * 4, metric = 0.00% * 4;
Minibatch[ 927- 927]: loss = 0.000255 * 4, metric = 0.00% * 4;
Minibatch[ 928- 928]: loss = 0.000255 * 4, metric = 0.00% * 4;
Minibatch[ 929- 929]: loss = 0.000255 * 4, metric = 0.00% * 4;
Minibatch[ 930- 930]: loss = 0.000254 * 4, metric = 0.00% * 4;
Minibatch[ 931- 931]: loss = 0.000254 * 4, metric = 0.00% * 4;
Minibatch[ 932- 932]: loss = 0.000253 * 4, metric = 0.00% * 4;
Minibatch[ 933- 933]: loss = 0.000253 * 4, metric = 0.00% * 4;
Minibatch[ 934- 934]: loss = 0.000252 * 4, metric = 0.00% * 4;
Minibatch[ 935- 935]: loss = 0.000252 * 4, metric = 0.00% * 4;
Minibatch[ 936- 936]: loss = 0.000251 * 4, metric = 0.00% * 4;
Minibatch[ 937- 937]: loss = 0.000251 * 4, metric = 0.00% * 4;
Minibatch[ 938- 938]: loss = 0.000251 * 4, metric = 0.00% * 4;
Minibatch[ 939- 939]: loss = 0.000250 * 4, metric = 0.00% * 4;
Minibatch[ 940- 940]: loss = 0.000250 * 4, metric = 0.00% * 4;
Minibatch[ 941- 941]: loss = 0.000249 * 4, metric = 0.00% * 4;
Minibatch[ 942- 942]: loss = 0.000249 * 4, metric = 0.00% * 4;
Minibatch[ 943- 943]: loss = 0.000248 * 4, metric = 0.00% * 4;
Minibatch[ 944- 944]: loss = 0.000248 * 4, metric = 0.00% * 4;
Minibatch[ 945- 945]: loss = 0.000248 * 4, metric = 0.00% * 4;
Minibatch[ 946- 946]: loss = 0.000247 * 4, metric = 0.00% * 4;
Minibatch[ 947- 947]: loss = 0.000247 * 4, metric = 0.00% * 4;
Minibatch[ 948- 948]: loss = 0.000246 * 4, metric = 0.00% * 4;
Minibatch[ 949- 949]: loss = 0.000246 * 4, metric = 0.00% * 4;
Minibatch[ 950- 950]: loss = 0.000245 * 4, metric = 0.00% * 4;
Minibatch[ 951- 951]: loss = 0.000245 * 4, metric = 0.00% * 4;
Minibatch[ 952- 952]: loss = 0.000245 * 4, metric = 0.00% * 4;
Minibatch[ 953- 953]: loss = 0.000244 * 4, metric = 0.00% * 4;
Minibatch[ 954- 954]: loss = 0.000244 * 4, metric = 0.00% * 4;
Minibatch[ 955- 955]: loss = 0.000243 * 4, metric = 0.00% * 4;
Minibatch[ 956- 956]: loss = 0.000243 * 4, metric = 0.00% * 4;
Minibatch[ 957- 957]: loss = 0.000243 * 4, metric = 0.00% * 4;
Minibatch[ 958- 958]: loss = 0.000242 * 4, metric = 0.00% * 4;
Minibatch[ 959- 959]: loss = 0.000242 * 4, metric = 0.00% * 4;
Minibatch[ 960- 960]: loss = 0.000241 * 4, metric = 0.00% * 4;
Minibatch[ 961- 961]: loss = 0.000241 * 4, metric = 0.00% * 4;
Minibatch[ 962- 962]: loss = 0.000241 * 4, metric = 0.00% * 4;
Minibatch[ 963- 963]: loss = 0.000240 * 4, metric = 0.00% * 4;
Minibatch[ 964- 964]: loss = 0.000240 * 4, metric = 0.00% * 4;
Minibatch[ 965- 965]: loss = 0.000239 * 4, metric = 0.00% * 4;
Minibatch[ 966- 966]: loss = 0.000239 * 4, metric = 0.00% * 4;
Minibatch[ 967- 967]: loss = 0.000239 * 4, metric = 0.00% * 4;
Minibatch[ 968- 968]: loss = 0.000238 * 4, metric = 0.00% * 4;
Minibatch[ 969- 969]: loss = 0.000238 * 4, metric = 0.00% * 4;
Minibatch[ 970- 970]: loss = 0.000237 * 4, metric = 0.00% * 4;
Minibatch[ 971- 971]: loss = 0.000237 * 4, metric = 0.00% * 4;
Minibatch[ 972- 972]: loss = 0.000237 * 4, metric = 0.00% * 4;
Minibatch[ 973- 973]: loss = 0.000237 * 4, metric = 0.00% * 4;
Minibatch[ 974- 974]: loss = 0.000237 * 4, metric = 0.00% * 4;
Minibatch[ 975- 975]: loss = 0.000236 * 4, metric = 0.00% * 4;
Minibatch[ 976- 976]: loss = 0.000236 * 4, metric = 0.00% * 4;
Minibatch[ 977- 977]: loss = 0.000236 * 4, metric = 0.00% * 4;
Minibatch[ 978- 978]: loss = 0.000235 * 4, metric = 0.00% * 4;
Minibatch[ 979- 979]: loss = 0.000235 * 4, metric = 0.00% * 4;
Minibatch[ 980- 980]: loss = 0.000234 * 4, metric = 0.00% * 4;
Minibatch[ 981- 981]: loss = 0.000234 * 4, metric = 0.00% * 4;
Minibatch[ 982- 982]: loss = 0.000234 * 4, metric = 0.00% * 4;
Minibatch[ 983- 983]: loss = 0.000233 * 4, metric = 0.00% * 4;
Minibatch[ 984- 984]: loss = 0.000233 * 4, metric = 0.00% * 4;
Minibatch[ 985- 985]: loss = 0.000233 * 4, metric = 0.00% * 4;
Minibatch[ 986- 986]: loss = 0.000232 * 4, metric = 0.00% * 4;
Minibatch[ 987- 987]: loss = 0.000232 * 4, metric = 0.00% * 4;
Minibatch[ 988- 988]: loss = 0.000231 * 4, metric = 0.00% * 4;
Minibatch[ 989- 989]: loss = 0.000231 * 4, metric = 0.00% * 4;
Minibatch[ 990- 990]: loss = 0.000231 * 4, metric = 0.00% * 4;
Minibatch[ 991- 991]: loss = 0.000230 * 4, metric = 0.00% * 4;
Minibatch[ 992- 992]: loss = 0.000230 * 4, metric = 0.00% * 4;
Minibatch[ 993- 993]: loss = 0.000230 * 4, metric = 0.00% * 4;
Minibatch[ 994- 994]: loss = 0.000229 * 4, metric = 0.00% * 4;
Minibatch[ 995- 995]: loss = 0.000229 * 4, metric = 0.00% * 4;