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C-S-L-M_23K/args.yaml

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+task: detect
+mode: train
+model: yolov8n.pt
+data: cs_lm.yaml
+epochs: 5
+time: null
+patience: 100
+batch: 16
+imgsz: 640
+save: true
+save_period: -1
+cache: false
+device: 0
+workers: 8
+project: null
+name: train
+exist_ok: false
+pretrained: true
+optimizer: auto
+verbose: true
+seed: 0
+deterministic: true
+single_cls: false
+rect: false
+cos_lr: false
+close_mosaic: 10
+resume: false
+amp: true
+fraction: 1.0
+profile: false
+freeze: null
+multi_scale: 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
+vid_stride: 1
+stream_buffer: false
+visualize: false
+augment: false
+agnostic_nms: false
+classes: null
+retina_masks: false
+embed: null
+show: false
+save_frames: false
+save_txt: false
+save_conf: false
+save_crop: false
+show_labels: true
+show_conf: true
+show_boxes: true
+line_width: null
+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
+bgr: 0.0
+mosaic: 1.0
+mixup: 0.0
+copy_paste: 0.0
+auto_augment: randaugment
+erasing: 0.4
+crop_fraction: 1.0
+cfg: null
+tracker: botsort.yaml
+save_dir: runs\detect\train

C-S-L-M_23K/best.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:96dc1257126c7f299190390d4927272378b43277387ea3289a6a791cd0de919d
+size 6243374

C-S-L-M_23K/last.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:46f18f6d2eea276a81dbd48df2753d65c9c06709844bcbf307ed6fd1ee8a4b5f
+size 6243502

C-S-L-M_23K/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
+                      1,                 0.8349,                 1.2899,                0.97681,                0.23338,                0.17841,                 0.1296,                0.05623,                  2.574,                 3.4137,                 2.1521,             0.00055529,             0.00055529,             0.00055529
+                      2,                0.71102,                0.67523,                0.94322,                 0.3566,                0.16245,                 0.1603,                 0.0754,                 2.3928,                  3.091,                 2.0193,             0.00089098,             0.00089098,             0.00089098
+                      3,                0.66467,                0.58955,                0.92636,                 0.3403,                0.19613,                0.18268,                0.08055,                 2.5046,                 3.3736,                 2.1586,              0.0010066,              0.0010066,              0.0010066
+                      4,                0.60951,                0.51213,                 0.9097,                0.30849,                0.24098,                0.21051,                0.10202,                 2.2216,                 2.8505,                 1.9316,              0.0006768,              0.0006768,              0.0006768
+                      5,                 0.5549,                0.43853,                0.89138,                0.35151,                 0.2186,                0.21184,                0.09818,                 2.2136,                  2.761,                 1.8888,             0.00034674,             0.00034674,             0.00034674