Add folder runs

args.yaml

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+task: detect
+mode: train
+model: yolov8n.pt
+data: /content/drive/MyDrive/CuyDetector/data.yaml
+epochs: 5
+patience: 50
+batch: 32
+imgsz: 640
+save: true
+save_period: -1
+cache: false
+device: null
+workers: 8
+project: null
+name: yolov8n_testing_01
+exist_ok: false
+pretrained: true
+optimizer: auto
+verbose: true
+seed: 0
+deterministic: true
+single_cls: false
+rect: false
+cos_lr: false
+close_mosaic: 0
+resume: false
+amp: true
+fraction: 1.0
+profile: false
+overlap_mask: true
+mask_ratio: 4
+dropout: 0.0
+val: true
+split: val
+save_json: false
+save_hybrid: false
+conf: null
+iou: 0.7
+max_det: 300
+half: false
+dnn: false
+plots: true
+source: null
+show: false
+save_txt: false
+save_conf: false
+save_crop: false
+show_labels: true
+show_conf: true
+vid_stride: 1
+line_width: null
+visualize: false
+augment: false
+agnostic_nms: false
+classes: null
+retina_masks: false
+boxes: true
+format: torchscript
+keras: false
+optimize: false
+int8: false
+dynamic: false
+simplify: false
+opset: null
+workspace: 4
+nms: false
+lr0: 0.01
+lrf: 0.01
+momentum: 0.937
+weight_decay: 0.0005
+warmup_epochs: 3.0
+warmup_momentum: 0.8
+warmup_bias_lr: 0.1
+box: 7.5
+cls: 0.5
+dfl: 1.5
+pose: 12.0
+kobj: 1.0
+label_smoothing: 0.0
+nbs: 64
+hsv_h: 0.015
+hsv_s: 0.7
+hsv_v: 0.4
+degrees: 0.0
+translate: 0.1
+scale: 0.5
+shear: 0.0
+perspective: 0.0
+flipud: 0.0
+fliplr: 0.5
+mosaic: 1.0
+mixup: 0.0
+copy_paste: 0.0
+cfg: null
+v5loader: false
+tracker: botsort.yaml
+save_dir: runs/detect/yolov8n_testing_01

events.out.tfevents.1687581375.5da9fcb9d510.1523.1

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+oid sha256:29a87f0811105bede02c8a35a9b95be286091781d1d1e0ce792e79603a536210
+size 88

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
+                      0,                  1.645,                 2.6314,                 1.9517,                0.00667,                      1,                0.19129,                0.11475,                 1.0169,                 2.8058,                 1.6284,                  2e-05,                  2e-05,                  2e-05
+                      1,                 1.6322,                 2.5365,                 1.9488,                0.00667,                      1,                0.24729,                0.11936,                 1.0316,                 2.8058,                 1.6437,              4.812e-05,              4.812e-05,              4.812e-05
+                      2,                 1.5943,                 2.5872,                  1.997,                0.00667,                      1,                0.28031,                0.12405,                0.99343,                 2.8341,                 1.6276,               6.04e-05,               6.04e-05,               6.04e-05
+                      3,                 1.4867,                 2.5266,                 1.8333,                0.00667,                      1,                0.28265,                0.15697,                 1.0849,                 2.8533,                 1.6092,              5.684e-05,              5.684e-05,              5.684e-05
+                      4,                 1.4518,                 2.4932,                 1.8417,                0.00667,                      1,                0.31144,                0.17644,                 1.2216,                 2.8967,                 1.6712,              3.744e-05,              3.744e-05,              3.744e-05

weights/best.pt

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+oid sha256:9162183dccc0878cca74fde687983e2e265dcd7d484f7d0a43ef838fd04edb26
+size 6241262

weights/last.pt

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+oid sha256:0d139c476589b6e3c9fe67ac5a866bba1b7e29b389456beb2f01982b3420695e
+size 6241262