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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, 0.73839, 1.6958, 1.239, 0.2724, 0.42348, 0.32756, 0.24846, 0.74194, 2.2147, 1.2148, 0.00023367, 0.00023367, 0.00023367
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2, 0.72129, 1.6877, 1.2436, 0.32232, 0.43778, 0.38249, 0.28628, 0.81242, 2.2317, 1.2745, 0.00035493, 0.00035493, 0.00035493
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3, 0.73977, 1.6015, 1.247, 0.55244, 0.37452, 0.43786, 0.3313, 0.81525, 2.0749, 1.2697, 0.00035838, 0.00035838, 0.00035838
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4, 0.73016, 1.5642, 1.2437, 0.69366, 0.37914, 0.47664, 0.3683, 0.68505, 1.7367, 1.151, 0.00018385, 0.00018385, 0.00018385
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