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, 1.2462, 2.0376, 1.2333, 0.43617, 0.1067, 0.06331, 0.04623, 1.1947, 3.6806, 1.1721, 0.0033328, 0.0033328, 0.0033328 2, 1.284, 1.9294, 1.2357, 0.50394, 0.10376, 0.06445, 0.04667, 1.2134, 3.4415, 1.1797, 0.0060062, 0.0060062, 0.0060062 3, 1.3613, 2.0508, 1.2744, 0.54677, 0.09808, 0.06043, 0.04383, 1.2311, 3.4689, 1.1936, 0.0080196, 0.0080196, 0.0080196 4, 1.3843, 2.0762, 1.2889, 0.54283, 0.10519, 0.06449, 0.04686, 1.2056, 3.4312, 1.184, 0.00703, 0.00703, 0.00703 5, 1.3278, 1.943, 1.2574, 0.55773, 0.10675, 0.07122, 0.05226, 1.1726, 3.3207, 1.1658, 0.00604, 0.00604, 0.00604 6, 1.2834, 1.8363, 1.2317, 0.54744, 0.11553, 0.07612, 0.05611, 1.15, 3.2407, 1.1525, 0.00505, 0.00505, 0.00505 7, 1.2417, 1.7482, 1.208, 0.52059, 0.12078, 0.07996, 0.0593, 1.1345, 3.1952, 1.1439, 0.00406, 0.00406, 0.00406 8, 1.2045, 1.664, 1.1863, 0.51724, 0.124, 0.08257, 0.06147, 1.1243, 3.1576, 1.1369, 0.00307, 0.00307, 0.00307 9, 1.1682, 1.5835, 1.1653, 0.51374, 0.12638, 0.08452, 0.06315, 1.1173, 3.1269, 1.132, 0.00208, 0.00208, 0.00208 10, 1.1334, 1.5046, 1.1456, 0.51686, 0.12547, 0.08629, 0.06458, 1.1122, 3.1097, 1.1283, 0.00109, 0.00109, 0.00109