| epoch, train/box_loss, train/obj_loss, train/cls_loss, metrics/precision, metrics/recall, metrics/mAP_0.5,metrics/mAP_0.5:0.95, val/box_loss, val/obj_loss, val/cls_loss, x/lr0, x/lr1, x/lr2 | |
| 0, 0.098091, 0.025411, 0.048275, 0.0013107, 0.48167, 0.0088641, 0.0021099, 0.067637, 0.021977, 0.04188, 0.070417, 0.003287, 0.003287 | |
| 1, 0.061299, 0.022632, 0.040682, 0.0027054, 0.69091, 0.098643, 0.021036, 0.045931, 0.022143, 0.032686, 0.039761, 0.005965, 0.005965 | |
| 2, 0.050521, 0.021539, 0.031754, 0.01376, 1, 0.47012, 0.20512, 0.038571, 0.019789, 0.02546, 0.0084458, 0.0079829, 0.0079829 | |
| 3, 0.04568, 0.019433, 0.025564, 0.90958, 0.34185, 0.54088, 0.28554, 0.038054, 0.017303, 0.021657, 0.00703, 0.00703, 0.00703 | |
| 4, 0.041108, 0.017045, 0.023636, 0.89012, 0.47745, 0.55643, 0.31817, 0.031472, 0.014937, 0.019709, 0.00703, 0.00703, 0.00703 | |
| 5, 0.037605, 0.013845, 0.022541, 0.86682, 0.475, 0.61174, 0.37418, 0.027785, 0.012716, 0.01872, 0.00604, 0.00604, 0.00604 | |
| 6, 0.035206, 0.012485, 0.019863, 0.85893, 0.5, 0.73665, 0.41127, 0.028634, 0.011354, 0.017139, 0.00505, 0.00505, 0.00505 | |
| 7, 0.031048, 0.010874, 0.01774, 0.46614, 0.82955, 0.74634, 0.48004, 0.024731, 0.010359, 0.016133, 0.00406, 0.00406, 0.00406 | |
| 8, 0.02833, 0.0099252, 0.01689, 0.50831, 0.82386, 0.79502, 0.51252, 0.022656, 0.0097325, 0.01448, 0.00307, 0.00307, 0.00307 | |
| 9, 0.026527, 0.0097875, 0.015864, 0.53008, 0.82386, 0.82015, 0.58706, 0.019877, 0.009132, 0.013748, 0.00208, 0.00208, 0.00208 | |