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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, 0.90394, 3.329, 1.3829, 0.76968, 0.13095, 0.14249, 0.10757, 0.82408, 3.9262, 1.3333, 0.00023367, 0.00023367, 0.00023367
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2, 0.91105, 2.5579, 1.4092, 0.5935, 0.16758, 0.15827, 0.10785, 1.0268, 3.4378, 1.5384, 0.00043276, 0.00043276, 0.00043276
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3, 0.91599, 2.9925, 1.4819, 0.86667, 0.14781, 0.21255, 0.14602, 1.0496, 3.11, 1.5972, 0.00059258, 0.00059258, 0.00059258
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4, 0.89719, 2.6978, 1.4619, 0.8569, 0.1637, 0.20295, 0.14099, 1.0143, 2.9992, 1.5009, 0.00053728, 0.00053728, 0.00053728
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5, 0.87509, 2.5526, 1.4239, 0.77129, 0.18731, 0.23695, 0.17206, 0.90582, 2.709, 1.359, 0.00047838, 0.00047838, 0.00047838
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6, 0.80869, 2.3344, 1.3401, 0.50265, 0.34661, 0.2984, 0.22553, 0.84163, 2.2594, 1.2915, 0.00041947, 0.00041947, 0.00041947
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7, 0.77828, 2.1705, 1.3237, 0.46157, 0.32738, 0.34308, 0.26528, 0.77865, 2.128, 1.2356, 0.00036057, 0.00036057, 0.00036057
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8, 0.7256, 2.0249, 1.2894, 0.49805, 0.35312, 0.37851, 0.30089, 0.7318, 1.9728, 1.1738, 0.00030167, 0.00030167, 0.00030167
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9, 0.67314, 1.8802, 1.2153, 0.53417, 0.37633, 0.42622, 0.34006, 0.67866, 1.8197, 1.1212, 0.00024276, 0.00024276, 0.00024276
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