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 results.csv

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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
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1, 1.5101, 3.4862, 1.9183, 0.44735, 0.14162, 0.08143, 0.04155, 1.9978, 4.4269, 2.479, 0.00023724, 0.00023724, 0.00023724
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2, 1.5634, 2.99, 1.9389, 0.47274, 0.14004, 0.09357, 0.04743, 2.0592, 3.6729, 2.5769, 0.00046348, 0.00046348, 0.00046348
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3, 1.5742, 2.8016, 1.9384, 0.7262, 0.15495, 0.14186, 0.07175, 2.0039, 3.2015, 2.4846, 0.00067793, 0.00067793, 0.00067793
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