epoch, train/box_loss, train/seg_loss, train/obj_loss, train/cls_loss, metrics/precision(B), metrics/recall(B), metrics/mAP_0.5(B),metrics/mAP_0.5:0.95(B), metrics/precision(M), metrics/recall(M), metrics/mAP_0.5(M),metrics/mAP_0.5:0.95(M), val/box_loss, val/seg_loss, val/obj_loss, val/cls_loss, x/lr0, x/lr1, x/lr2 0, 0.093525, 0.09198, 0.12968, 0.067702, 0.21254, 0.18045, 0.053135, 0.025735, 0.21132, 0.17979, 0.052678, 0.027408, 0.055808, 0.054043, 0.13177, 0.061223, 0.070323, 0.0032975, 0.0032975 0, 0.093525, 0.09198, 0.12968, 0.067702, 0.21254, 0.18045, 0.053135, 0.025735, 0.21132, 0.17979, 0.052678, 0.027408, 0.055808, 0.054043, 0.13177, 0.061223, 0.070323, 0.0032975, 0.0032975 1, 0.062471, 0.052926, 0.13997, 0.058315, 0.6604, 0.092298, 0.086056, 0.037961, 0.66016, 0.092495, 0.08674, 0.044096, 0.055436, 0.051217, 0.11948, 0.055915, 0.040301, 0.0066089, 0.0066089 2, 0.059669, 0.050322, 0.1377, 0.052492, 0.31813, 0.11715, 0.065431, 0.031833, 0.31926, 0.11668, 0.065872, 0.03398, 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