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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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0, 0.71529, 3.0962, 1.1575, 0.72867, 0.85587, 0.8615, 0.76256, 0.50794, 0.86707, 0.99944, 0.070095, 0.0033228, 0.0033228 |
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1, 0.58774, 1.0842, 1.0235, 0.765, 0.74165, 0.82348, 0.70313, 0.61667, 1.0237, 1.0268, 0.039436, 0.0059971, 0.0059971 |
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2, 0.67388, 1.0086, 1.069, 0.3746, 0.18349, 0.18855, 0.1313, 1.6923, 4.232, 1.9743, 0.0081173, 0.0080115, 0.0080115 |
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3, 0.71393, 0.97843, 1.0929, 0.82446, 0.79246, 0.87661, 0.74061, 0.66181, 0.8953, 1.1021, 0.00703, 0.00703, 0.00703 |
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4, 0.68895, 0.86039, 1.0775, 0.836, 0.79302, 0.85695, 0.72741, 0.62937, 0.87186, 1.0883, 0.00703, 0.00703, 0.00703 |
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5, 0.64902, 0.71404, 1.053, 0.90269, 0.88009, 0.94426, 0.81544, 0.58491, 0.59521, 1.059, 0.00604, 0.00604, 0.00604 |
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6, 0.59835, 0.60015, 1.0183, 0.95647, 0.9491, 0.97705, 0.86844, 0.50946, 0.43589, 0.9887, 0.00505, 0.00505, 0.00505 |
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7, 0.56366, 0.52615, 0.99597, 0.96852, 0.9786, 0.98774, 0.88835, 0.47647, 0.34311, 0.97278, 0.00406, 0.00406, 0.00406 |
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8, 0.52033, 0.44185, 0.97405, 0.93546, 0.89596, 0.95874, 0.84273, 0.55107, 0.50277, 1.0371, 0.00307, 0.00307, 0.00307 |
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9, 0.49209, 0.37897, 0.95923, 0.98314, 0.98895, 0.99228, 0.91122, 0.43529, 0.2586, 0.95233, 0.00208, 0.00208, 0.00208 |
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