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runs/module_v_cls/args.yaml
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task: classify
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mode: train
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model: yolov8n-cls.pt
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data: /home/slava/Downloads/module_v/dataset
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epochs: 80
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time: null
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patience: 15
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batch: 32
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imgsz: 224
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save: true
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save_period: -1
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cache: false
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device: cpu
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workers: 8
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project: /home/slava/Downloads/module_v/runs
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name: module_v_cls
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exist_ok: true
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pretrained: true
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optimizer: auto
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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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cos_lr: 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: null
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multi_scale: 0.0
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compile: false
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overlap_mask: true
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mask_ratio: 4
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dropout: 0.0
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val: true
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split: val
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save_json: 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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end2end: null
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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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retina_masks: false
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embed: null
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show: false
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save_frames: false
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save_txt: false
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save_conf: false
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save_crop: false
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show_labels: true
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show_conf: true
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show_boxes: true
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line_width: 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: true
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opset: null
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workspace: null
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nms: false
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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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cls: 0.5
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dfl: 1.5
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pose: 12.0
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kobj: 1.0
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rle: 1.0
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angle: 1.0
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nbs: 64
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hsv_h: 0.015
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hsv_s: 0.7
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hsv_v: 0.4
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degrees: 0.0
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translate: 0.1
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scale: 0.5
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shear: 0.0
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perspective: 0.0
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flipud: 0.0
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fliplr: 0.5
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bgr: 0.0
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mosaic: 1.0
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mixup: 0.0
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cutmix: 0.0
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copy_paste: 0.0
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copy_paste_mode: flip
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auto_augment: randaugment
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erasing: 0.4
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cfg: null
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tracker: botsort.yaml
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save_dir: /home/slava/Downloads/module_v/runs/module_v_cls
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runs/module_v_cls/results.csv
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epoch,time,train/loss,metrics/accuracy_top1,metrics/accuracy_top5,val/loss,lr/pg0,lr/pg1,lr/pg2
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1,8.74789,0.76806,1,1,0.0141,0.00040012,0.00040012,0.00040012
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2,17.4699,0.16207,1,1,0.00044,0.00080445,0.00080445,0.00080445
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3,26.0215,0.16387,0.99444,1,0.01007,0.00119852,0.00119852,0.00119852
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4,34.6053,0.15253,1,1,0.00185,0.00137595,0.00137595,0.00137595
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5,43.214,0.14246,1,1,0.0001,0.00135826,0.00135826,0.00135826
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6,51.7567,0.10745,0.99444,1,0.00751,0.00134058,0.00134058,0.00134058
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7,60.2915,0.08484,1,1,0.00076,0.0013229,0.0013229,0.0013229
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8,68.9783,0.08449,1,1,6e-05,0.00130521,0.00130521,0.00130521
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9,77.5995,0.11456,1,1,0,0.00128753,0.00128753,0.00128753
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10,86.1496,0.09928,0.99444,1,0.00774,0.00126985,0.00126985,0.00126985
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11,94.8016,0.07465,1,1,0.00041,0.00125216,0.00125216,0.00125216
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12,103.488,0.07094,1,1,0.00049,0.00123448,0.00123448,0.00123448
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13,112.053,0.07769,1,1,0.0001,0.00121679,0.00121679,0.00121679
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14,120.644,0.11552,1,1,4e-05,0.00119911,0.00119911,0.00119911
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15,129.334,0.06071,1,1,0.00265,0.00118143,0.00118143,0.00118143
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16,137.944,0.07039,1,1,0.0001,0.00116374,0.00116374,0.00116374
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