전원표
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31e8571
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Parent(s):
81d80a7
yolov8 fine tuning model commit
Browse files- args.yaml +98 -0
- events.out.tfevents.1719798681.user-System-Product-Name.16714.0 +3 -0
- labels.jpg +0 -0
- labels_correlogram.jpg +0 -0
- results.csv +18 -0
- train_batch0.jpg +0 -0
- train_batch1.jpg +0 -0
- train_batch2.jpg +0 -0
- weights/best.pt +3 -0
args.yaml
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task: detect
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mode: train
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model: ./model/yolov8x.pt
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data: ./doclaynet.yaml
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epochs: 50
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patience: 50
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batch: 32
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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:
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- 0
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- 1
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workers: 1
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project: null
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name: null
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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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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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show: 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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vid_stride: 1
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line_width: null
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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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boxes: true
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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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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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mosaic: 1.0
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mixup: 0.0
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copy_paste: 0.0
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cfg: null
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tracker: botsort.yaml
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save_dir: runs/detect/train12
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events.out.tfevents.1719798681.user-System-Product-Name.16714.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:ea9d41dfbed73fc6453bf27cfb4b980f69fc66f92e6c13071bb3783f53b8747b
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size 5844666
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labels.jpg
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labels_correlogram.jpg
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results.csv
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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, 1.0151, 1.2576, 1.0887, 0.6379, 0.6176, 0.59579, 0.41786, 0.938, 0.92055, 0.93652, 0.0033318, 0.0033318, 0.0033318
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1, 0.79611, 0.85519, 0.94903, 0.6946, 0.6566, 0.64799, 0.46495, 0.94065, 0.87213, 0.90734, 0.0065332, 0.0065332, 0.0065332
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2, 0.77226, 0.83908, 0.93769, 0.66606, 0.62275, 0.62046, 0.44346, 0.93482, 0.92694, 0.90081, 0.0096025, 0.0096025, 0.0096025
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3, 0.72245, 0.80551, 0.92878, 0.71405, 0.66819, 0.67887, 0.50687, 0.86789, 0.79788, 0.88043, 0.009406, 0.009406, 0.009406
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4, 0.65634, 0.74129, 0.91281, 0.75554, 0.7105, 0.71014, 0.53573, 0.81065, 0.72917, 0.86824, 0.009406, 0.009406, 0.009406
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5, 0.61297, 0.70081, 0.90426, 0.77356, 0.7143, 0.72581, 0.56054, 0.77434, 0.68381, 0.86239, 0.009208, 0.009208, 0.009208
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6, 0.58551, 0.67022, 0.89796, 0.76213, 0.73111, 0.72651, 0.56904, 0.74689, 0.66887, 0.85943, 0.00901, 0.00901, 0.00901
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7, 0.56548, 0.65012, 0.8941, 0.7691, 0.74061, 0.73647, 0.57084, 0.77371, 0.66427, 0.85995, 0.008812, 0.008812, 0.008812
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8, 0.54735, 0.62994, 0.88994, 0.75935, 0.73199, 0.73475, 0.57904, 0.72624, 0.64006, 0.85637, 0.008614, 0.008614, 0.008614
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9, 0.53604, 0.6209, 0.88813, 0.76486, 0.74055, 0.74009, 0.58386, 0.72767, 0.63474, 0.85698, 0.008416, 0.008416, 0.008416
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10, 0.52438, 0.6057, 0.88499, 0.75814, 0.7543, 0.744, 0.58737, 0.73062, 0.62968, 0.85542, 0.008218, 0.008218, 0.008218
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11, 0.51726, 0.5992, 0.88308, 0.76287, 0.7572, 0.74517, 0.58699, 0.7408, 0.62626, 0.85569, 0.00802, 0.00802, 0.00802
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12, 0.50898, 0.59311, 0.88225, 0.75786, 0.7626, 0.74589, 0.58811, 0.73229, 0.6217, 0.85487, 0.007822, 0.007822, 0.007822
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13, 0.49943, 0.58567, 0.87956, 0.75643, 0.76829, 0.74757, 0.59062, 0.73086, 0.61975, 0.85441, 0.007624, 0.007624, 0.007624
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14, 0.49161, 0.5761, 0.87879, 0.75814, 0.76649, 0.74904, 0.59276, 0.72769, 0.61544, 0.85349, 0.007426, 0.007426, 0.007426
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15, 0.48481, 0.57075, 0.8772, 0.7582, 0.76604, 0.75008, 0.59332, 0.72953, 0.61626, 0.85369, 0.007228, 0.007228, 0.007228
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16, 0.47949, 0.56456, 0.87647, 0.75797, 0.76548, 0.7509, 0.5944, 0.72975, 0.61588, 0.85373, 0.00703, 0.00703, 0.00703
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train_batch0.jpg
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train_batch1.jpg
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train_batch2.jpg
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weights/best.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:20d12501a3fd25567bdbdf1f7b608370f4c6b36a5c1aa04299e257aaa510c048
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size 546173112
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