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epoch, train/box_loss, train/cls_loss, train/dfl_loss, metrics/precision(B), metrics/recall(B), metrics/mAP50(B), metrics/mAP50-95(B), val/box_loss, val/cls_loss, val/dfl_loss, lr/pg0, lr/pg1, lr/pg2
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1, 1.2454, 1.7569, 1.6817, 0.59824, 0.42948, 0.48665, 0.32315, 1.3649, 1.5701, 1.8807, 0.0002374, 0.0002374, 0.0002374
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2, 1.2486, 1.7347, 1.6712, 0.62732, 0.44375, 0.4828, 0.30686, 1.4117, 1.6972, 1.9447, 0.00043618, 0.00043618, 0.00043618
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3, 1.383, 1.7323, 1.9359, 0.688, 0.41098, 0.48747, 0.29905, 1.4607, 1.6992, 1.9699, 0.00059569, 0.00059569, 0.00059569
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4, 1.3672, 1.6813, 1.9174, 0.55711, 0.45539, 0.47952, 0.29467, 1.4141, 1.6376, 1.9483, 0.00053728, 0.00053728, 0.00053728
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5, 1.3457, 1.5926, 1.8889, 0.61795, 0.45828, 0.50845, 0.32317, 1.3911, 1.5817, 1.9197, 0.00047838, 0.00047838, 0.00047838
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6, 1.2959, 1.5489, 1.8435, 0.68057, 0.44669, 0.5072, 0.3289, 1.3176, 1.5268, 1.8535, 0.00041947, 0.00041947, 0.00041947
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7, 1.2501, 1.4741, 1.8115, 0.61363, 0.51986, 0.56462, 0.36514, 1.284, 1.4916, 1.8092, 0.00036057, 0.00036057, 0.00036057
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8, 1.2166, 1.4044, 1.7806, 0.56984, 0.56159, 0.58051, 0.37996, 1.2141, 1.4034, 1.7481, 0.00030167, 0.00030167, 0.00030167
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9, 1.1816, 1.3483, 1.7416, 0.74203, 0.51274, 0.5991, 0.40524, 1.1808, 1.3177, 1.7051, 0.00024276, 0.00024276, 0.00024276
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10, 1.1515, 1.2874, 1.7135, 0.76834, 0.53124, 0.63673, 0.4347, 1.1526, 1.2774, 1.6729, 0.00018385, 0.00018385, 0.00018385
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11, 1.1105, 1.227, 1.6783, 0.7746, 0.53733, 0.65685, 0.45276, 1.1192, 1.2198, 1.643, 0.00012495, 0.00012495, 0.00012495
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12, 1.0766, 1.2029, 1.6479, 0.75353, 0.57269, 0.66865, 0.46779, 1.0896, 1.2053, 1.6157, 6.6045e-05, 6.6045e-05, 6.6045e-05
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