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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, 0.62802, 1.3604, 1.1554, 0.47509, 0.47237, 0.45635, 0.364, 0.70462, 2.0233, 1.1816, 0.00023367, 0.00023367, 0.00023367
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2, 0.60042, 1.2961, 1.1434, 0.62133, 0.37758, 0.4849, 0.37681, 0.75561, 1.9283, 1.2077, 0.00035493, 0.00035493, 0.00035493
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3, 0.66385, 1.3154, 1.1783, 0.49115, 0.538, 0.50612, 0.38409, 0.7664, 1.807, 1.2117, 0.00035838, 0.00035838, 0.00035838
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4, 0.69887, 1.3803, 1.2103, 0.61084, 0.6285, 0.62964, 0.4894, 0.6602, 1.4908, 1.1159, 0.00018385, 0.00018385, 0.00018385
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