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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
1, 2.1183, 1.8345, 1.3011, 0.69467, 0.37721, 0.4271, 0.21054, 1.7273, 1.0806, 1.0973, 0.00066584, 0.00066584, 0.00066584
2, 1.7519, 1.101, 1.0979, 0.72355, 0.39829, 0.4639, 0.23574, 1.673, 0.99172, 1.0819, 0.0012006, 0.0012006, 0.0012006
3, 1.6888, 1.0075, 1.0722, 0.7492, 0.45081, 0.51379, 0.25759, 1.5915, 0.90528, 1.0444, 0.0016033, 0.0016033, 0.0016033
4, 1.6409, 0.95279, 1.0577, 0.76166, 0.45202, 0.52456, 0.26817, 1.5833, 0.87973, 1.0401, 0.001406, 0.001406, 0.001406
5, 1.6188, 0.92058, 1.0471, 0.76386, 0.46059, 0.53145, 0.27005, 1.5789, 0.84541, 1.0448, 0.001406, 0.001406, 0.001406
6, 1.5884, 0.88101, 1.0381, 0.77804, 0.46672, 0.54119, 0.28155, 1.5531, 0.81778, 1.0327, 0.001208, 0.001208, 0.001208
7, 1.5645, 0.85025, 1.0288, 0.78715, 0.48032, 0.54812, 0.28519, 1.5269, 0.79034, 1.0252, 0.00101, 0.00101, 0.00101
8, 1.5436, 0.82403, 1.0207, 0.79692, 0.48759, 0.56661, 0.29809, 1.4967, 0.77194, 1.015, 0.000812, 0.000812, 0.000812
9, 1.5233, 0.80503, 1.0121, 0.79457, 0.50006, 0.5688, 0.29073, 1.5153, 0.76072, 1.016, 0.000614, 0.000614, 0.000614
10, 1.5007, 0.77753, 1.0083, 0.79893, 0.50977, 0.58571, 0.31009, 1.4566, 0.72831, 1.0044, 0.000416, 0.000416, 0.000416
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