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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, 1.5686, 2.6555, 1.6193, 0.38301, 0.45927, 0.3374, 0.15401, 1.6607, 2.691, 1.7752, 0.00066381, 0.00066381, 0.00066381
2, 1.6174, 1.9769, 1.6529, 0.61842, 0.52565, 0.49902, 0.25676, 1.6342, 1.9606, 1.6604, 0.0011988, 0.0011988, 0.0011988
3, 1.5187, 1.7049, 1.598, 0.62044, 0.5326, 0.51499, 0.26357, 1.6195, 2.047, 1.6089, 0.0016017, 0.0016017, 0.0016017
4, 1.4059, 1.538, 1.5187, 0.77942, 0.62972, 0.62978, 0.38678, 1.4064, 1.4963, 1.4421, 0.001406, 0.001406, 0.001406
5, 1.3011, 1.3901, 1.4391, 0.80197, 0.6354, 0.65287, 0.42807, 1.259, 1.3686, 1.348, 0.001208, 0.001208, 0.001208
6, 1.2075, 1.3101, 1.3852, 0.78357, 0.63989, 0.65135, 0.43129, 1.2332, 1.3296, 1.3089, 0.00101, 0.00101, 0.00101
7, 1.133, 1.2353, 1.3433, 0.84143, 0.66401, 0.70223, 0.49591, 1.0926, 1.1987, 1.2179, 0.000812, 0.000812, 0.000812
8, 1.059, 1.1636, 1.3059, 0.84686, 0.66401, 0.70854, 0.50914, 1.0473, 1.1531, 1.1891, 0.000614, 0.000614, 0.000614
9, 0.97326, 1.0869, 1.2602, 0.8498, 0.67989, 0.73031, 0.54836, 0.94932, 1.0725, 1.1202, 0.000416, 0.000416, 0.000416
10, 0.91633, 1.0078, 1.2232, 0.8564, 0.68863, 0.75634, 0.57781, 0.89908, 1.0042, 1.091, 0.000218, 0.000218, 0.000218
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