add weights
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task: detect
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mode: train
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model: yolo11x.pt
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data: dataset_pecan.yaml
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epochs: 300
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time: null
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patience: 100
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batch: 8
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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: mps
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workers: 0
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project: null
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name: train8
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exist_ok: false
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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: 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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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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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: 4
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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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label_smoothing: 0.0
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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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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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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/train8
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epoch,time,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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1,1025.83,0.66603,0.70931,1.00467,0.79126,0.62088,0.63578,0.55598,0.53711,1.12546,0.61646,0.0033218,0.0033218,0.0033218
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2,2234.46,0.67875,0.56064,0.97946,0.73778,0.22965,0.24951,0.20692,0.70498,1.24004,0.63871,0.00663317,0.00663317,0.00663317
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3,3567.29,0.74777,0.60717,1.01042,0.78896,0.28977,0.31317,0.25897,0.68661,1.33028,0.66244,0.00992254,0.00992254,0.00992254
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4,4924.91,0.75061,0.5652,1.02254,0.81885,0.49061,0.52847,0.44662,0.60725,1.0302,0.63908,0.009901,0.009901,0.009901
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5,6311.84,0.71113,0.53651,1.01557,0.797,0.85082,0.87202,0.72871,0.61414,1.01847,0.63901,0.009868,0.009868,0.009868
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6,7752.74,0.69393,0.50972,1.00952,0.83906,0.84134,0.89616,0.7712,0.55075,0.96689,0.61902,0.009835,0.009835,0.009835
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7,10111.6,0.67585,0.49999,1.00538,0.85073,0.31173,0.35275,0.30764,0.5542,1.94607,0.62021,0.009802,0.009802,0.009802
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