hanungaddi commited on
Commit
060ebd0
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1 Parent(s): 3b67cdf

Init: 25 epochs

Browse files
.gitattributes CHANGED
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+ task: detect
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+ mode: train
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+ model: yolov9c.pt
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+ data: /content/datasets/vehicle_person-7/data.yaml
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+ epochs: 100
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+ time: null
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+ patience: 25
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+ batch: 48
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+ imgsz: 640
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+ save: true
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+ save_period: -1
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+ cache: false
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+ device: null
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+ workers: 8
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+ project: null
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+ name: train4
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+ exist_ok: false
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+ pretrained: true
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+ optimizer: AdamW
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+ verbose: true
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+ seed: 0
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+ deterministic: true
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+ single_cls: false
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+ rect: false
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+ close_mosaic: 10
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+ resume: false
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+ amp: true
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+ fraction: 1.0
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+ profile: false
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+ freeze: 10
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+ multi_scale: false
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+ overlap_mask: true
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+ mask_ratio: 4
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+ dropout: 0.1
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+ val: true
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+ split: val
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+ save_json: false
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+ save_hybrid: false
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+ conf: null
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+ iou: 0.7
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+ max_det: 300
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+ half: false
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+ dnn: false
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+ plots: true
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+ source: null
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+ vid_stride: 1
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+ stream_buffer: false
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+ visualize: false
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+ augment: false
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+ agnostic_nms: false
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+ classes: null
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+ format: torchscript
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+ keras: false
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+ optimize: false
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+ int8: false
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+ dynamic: false
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+ simplify: false
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+ opset: null
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+ workspace: 4
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+ lr0: 0.01
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+ lrf: 0.01
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+ momentum: 0.937
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+ weight_decay: 0.0005
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+ warmup_epochs: 3.0
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+ warmup_momentum: 0.8
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+ warmup_bias_lr: 0.1
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+ box: 7.5
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+ dfl: 1.5
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+ pose: 12.0
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+ auto_augment: randaugment
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+ erasing: 0.4
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+ crop_fraction: 1.0
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+ cfg: null
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+ tracker: botsort.yaml
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+ save_dir: runs/detect/train4
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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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+ 2, 1.3781, 1.2024, 1.4352, 0.51248, 0.52294, 0.48639, 0.2476, 1.7913, 4.8321, 2.3861, 0.040095, 0.006583, 0.006583
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+ 5, 1.2284, 0.9871, 1.3424, 0.71045, 0.70098, 0.73237, 0.45085, 1.3328, 1.2429, 1.6286, 0.009604, 0.009604, 0.009604
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+ 8, 1.1511, 0.86873, 1.2783, 0.74272, 0.7389, 0.79122, 0.50409, 1.2309, 0.98262, 1.43, 0.009307, 0.009307, 0.009307
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+ 9, 1.1267, 0.83932, 1.2603, 0.75665, 0.76047, 0.79138, 0.50319, 1.2253, 0.9952, 1.4403, 0.009208, 0.009208, 0.009208
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+ 10, 1.113, 0.82084, 1.2505, 0.80297, 0.72582, 0.80227, 0.5191, 1.2084, 0.94272, 1.4188, 0.009109, 0.009109, 0.009109
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+ 13, 1.0674, 0.77045, 1.2219, 0.81938, 0.70889, 0.7991, 0.52335, 1.1866, 0.93899, 1.4144, 0.008812, 0.008812, 0.008812
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+ 15, 1.0463, 0.73438, 1.2022, 0.81299, 0.72094, 0.80506, 0.51979, 1.1997, 0.9109, 1.4167, 0.008614, 0.008614, 0.008614
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+ 16, 1.029, 0.72198, 1.1971, 0.82115, 0.74222, 0.81292, 0.5347, 1.1595, 0.87617, 1.3722, 0.008515, 0.008515, 0.008515
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+ 17, 1.0161, 0.71068, 1.1809, 0.77919, 0.75093, 0.81124, 0.52888, 1.1878, 0.89306, 1.4026, 0.008416, 0.008416, 0.008416
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+ 18, 1.0143, 0.69964, 1.178, 0.7647, 0.76727, 0.80569, 0.53118, 1.1738, 0.88996, 1.3991, 0.008317, 0.008317, 0.008317
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+ 19, 1.0029, 0.68635, 1.1699, 0.81073, 0.76538, 0.82394, 0.54391, 1.1656, 0.86789, 1.3935, 0.008218, 0.008218, 0.008218
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+ 20, 0.99577, 0.67943, 1.163, 0.80382, 0.75193, 0.81329, 0.53259, 1.1619, 0.87614, 1.3814, 0.008119, 0.008119, 0.008119
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+ 21, 0.98601, 0.67779, 1.1615, 0.80433, 0.75271, 0.81522, 0.54055, 1.1518, 0.86649, 1.374, 0.00802, 0.00802, 0.00802
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+ 22, 0.98, 0.65849, 1.1517, 0.80075, 0.76658, 0.81637, 0.53942, 1.1572, 0.85656, 1.3745, 0.007921, 0.007921, 0.007921
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+ 23, 0.97508, 0.65703, 1.1492, 0.83085, 0.74854, 0.81776, 0.54011, 1.1496, 0.85674, 1.3645, 0.007822, 0.007822, 0.007822
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+ 24, 0.9694, 0.65179, 1.1444, 0.8127, 0.74854, 0.8148, 0.54264, 1.1504, 0.84542, 1.3674, 0.007723, 0.007723, 0.007723
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+ 25, 0.96398, 0.63907, 1.1409, 0.8242, 0.76193, 0.81965, 0.53747, 1.1498, 0.83939, 1.3773, 0.007624, 0.007624, 0.007624
train_batch0.jpg ADDED
train_batch1.jpg ADDED
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