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 1, 1.1346, 0.57023, 0.95707, 0.94546, 0.87361, 0.93798, 0.62706, 1.167, 0.54552, 1.0065, 0.00066286, 0.00066286, 0.00066286 2, 1.1525, 0.5933, 0.9641, 0.94299, 0.86965, 0.93646, 0.61463, 1.191, 0.56979, 1.0213, 0.0013259, 0.0013259, 0.0013259 3, 1.1945, 0.62983, 0.97746, 0.94269, 0.86342, 0.93149, 0.61485, 1.2049, 0.61185, 1.0271, 0.0019746, 0.0019746, 0.0019746 4, 1.1999, 0.63921, 0.97965, 0.93839, 0.86167, 0.92924, 0.6057, 1.2099, 0.60632, 1.0258, 0.0019515, 0.0019515, 0.0019515 5, 1.2007, 0.63972, 0.98167, 0.93384, 0.86306, 0.92879, 0.60508, 1.2047, 0.62222, 1.0317, 0.0019515, 0.0019515, 0.0019515 6, 1.1908, 0.62864, 0.97866, 0.94023, 0.86887, 0.93388, 0.61151, 1.1944, 0.59125, 1.025, 0.0019144, 0.0019144, 0.0019144 7, 1.181, 0.62163, 0.9768, 0.94187, 0.86526, 0.93256, 0.61089, 1.2143, 0.59314, 1.0319, 0.0018674, 0.0018674, 0.0018674 8, 1.1845, 0.61968, 0.97697, 0.94408, 0.87124, 0.93616, 0.61344, 1.1969, 0.5827, 1.019, 0.0018109, 0.0018109, 0.0018109 9, 1.1743, 0.61382, 0.9734, 0.94129, 0.8722, 0.93625, 0.61662, 1.1794, 0.57599, 1.0185, 0.0017457, 0.0017457, 0.0017457 10, 1.17, 0.60847, 0.97103, 0.94327, 0.87125, 0.9369, 0.62295, 1.1783, 0.57047, 1.0142, 0.0016724, 0.0016724, 0.0016724 11, 1.1668, 0.60149, 0.97056, 0.94193, 0.87209, 0.9363, 0.61569, 1.1922, 0.56655, 1.0159, 0.0015919, 0.0015919, 0.0015919 12, 1.1639, 0.60004, 0.96906, 0.94488, 0.87197, 0.9356, 0.62015, 1.1839, 0.56322, 1.017, 0.001505, 0.001505, 0.001505 13, 1.1498, 0.58555, 0.96493, 0.94863, 0.87495, 0.94031, 0.62639, 1.1676, 0.55064, 1.0122, 0.0014127, 0.0014127, 0.0014127 14, 1.1501, 0.5843, 0.96345, 0.94234, 0.87576, 0.94068, 0.6299, 1.1694, 0.54969, 1.0089, 0.0013159, 0.0013159, 0.0013159 15, 1.1374, 0.57557, 0.96236, 0.94714, 0.87352, 0.94051, 0.6277, 1.1687, 0.54567, 1.0168, 0.0012158, 0.0012158, 0.0012158 16, 1.1443, 0.57615, 0.96334, 0.9528, 0.87707, 0.94121, 0.62719, 1.1617, 0.54162, 1.0107, 0.0011135, 0.0011135, 0.0011135 17, 1.1295, 0.57087, 0.95837, 0.94514, 0.88065, 0.94137, 0.63018, 1.1643, 0.53818, 1.0111, 0.00101, 0.00101, 0.00101 18, 1.1278, 0.56586, 0.95664, 0.95457, 0.87313, 0.94169, 0.63253, 1.1658, 0.53472, 1.01, 0.00090652, 0.00090652, 0.00090652 19, 1.1202, 0.56086, 0.95577, 0.94987, 0.87798, 0.94222, 0.6318, 1.1595, 0.53152, 1.0076, 0.00080417, 0.00080417, 0.00080417 20, 1.1129, 0.54962, 0.95219, 0.94661, 0.88222, 0.94238, 0.63279, 1.1592, 0.53003, 1.0069, 0.00070407, 0.00070407, 0.00070407 21, 1.0873, 0.51098, 0.95693, 0.95398, 0.88029, 0.9448, 0.63568, 1.1531, 0.52571, 1.0054, 0.00060733, 0.00060733, 0.00060733 22, 1.081, 0.50588, 0.95581, 0.94853, 0.88382, 0.9447, 0.63685, 1.1525, 0.52451, 1.0047, 0.000515, 0.000515, 0.000515 23, 1.0713, 0.49783, 0.95095, 0.9513, 0.88309, 0.94585, 0.6374, 1.1518, 0.51832, 1.0045, 0.00042809, 0.00042809, 0.00042809 24, 1.0636, 0.49266, 0.94919, 0.95627, 0.88283, 0.947, 0.63797, 1.1521, 0.51692, 1.003, 0.00034756, 0.00034756, 0.00034756 25, 1.0576, 0.48665, 0.94592, 0.9528, 0.88427, 0.94588, 0.63969, 1.1492, 0.51307, 1.0045, 0.00027429, 0.00027429, 0.00027429 26, 1.0559, 0.48413, 0.9476, 0.95577, 0.88309, 0.94673, 0.64121, 1.1469, 0.51033, 1.0042, 0.00020907, 0.00020907, 0.00020907 27, 1.0503, 0.48061, 0.94586, 0.95295, 0.88427, 0.94657, 0.641, 1.1488, 0.50704, 1.0056, 0.00015263, 0.00015263, 0.00015263 28, 1.0502, 0.48043, 0.94464, 0.95607, 0.88243, 0.94681, 0.64116, 1.1471, 0.50725, 1.0029, 0.00010559, 0.00010559, 0.00010559 29, 1.0439, 0.47894, 0.94216, 0.95436, 0.88318, 0.94614, 0.64119, 1.1461, 0.50666, 1.0033, 6.8454e-05, 6.8454e-05, 6.8454e-05 30, 1.0421, 0.47682, 0.94111, 0.95311, 0.88539, 0.94713, 0.64203, 1.1453, 0.5061, 1.002, 4.1634e-05, 4.1634e-05, 4.1634e-05