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New https://pypi.org/project/ultralytics/8.1.42 available 😃 Update with 'pip install -U ultralytics'
Ultralytics YOLOv8.1.13 🚀 Python-3.8.18 torch-2.1.1+cu121 CUDA:0 (NVIDIA A100 80GB PCIe, 81050MiB)
[34m[1mengine/trainer: [0mtask=detect, mode=train, model=yolov8l.pt, data=custom.yaml, epochs=50, time=None, patience=50, batch=16, imgsz=640, save=True, save_period=-1, cache=False, device=None, workers=8, project=None, name=train32, 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=None, multi_scale=False, overlap_mask=True, mask_ratio=4, dropout=0.0, val=True, split=val, save_json=False, save_hybrid=False, conf=None, iou=0.7, max_det=300, half=False, dnn=False, plots=True, source=None, vid_stride=1, stream_buffer=False, visualize=False, augment=False, agnostic_nms=False, classes=None, retina_masks=False, embed=None, 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=None, format=torchscript, keras=False, optimize=False, int8=False, dynamic=False, simplify=False, opset=None, workspace=4, nms=False, lr0=0.018953935738983678, lrf=0.4096725304452809, momentum=0.6176397242321043, weight_decay=0.0005182340726400939, warmup_epochs=2.9420822665958744, warmup_momentum=0.3232610925012841, warmup_bias_lr=0.1, box=0.0622585591760355, cls=0.2716838602042877, dfl=1.5, pose=12.0, kobj=1.0, label_smoothing=0.0, nbs=64, hsv_h=0.08354414073797155, hsv_s=0.6179490216626592, hsv_v=0.10248863557199779, degrees=6.719607470704272, translate=0.4361043512236223, scale=0.1484627423134257, shear=9.034542586929785, perspective=0.0002091200850452316, flipud=0.37737999612193485, fliplr=0.9700621320176886, mosaic=0.573269512773059, mixup=0.4792659269817423, copy_paste=0.9517025165510148, auto_augment=randaugment, erasing=0.4, crop_fraction=1.0, cfg=None, tracker=botsort.yaml, save_dir=runs/detect/train32
Overriding model.yaml nc=80 with nc=1
from n params module arguments
0 -1 1 1856 ultralytics.nn.modules.conv.Conv [3, 64, 3, 2]
1 -1 1 73984 ultralytics.nn.modules.conv.Conv [64, 128, 3, 2]
2 -1 3 279808 ultralytics.nn.modules.block.C2f [128, 128, 3, True]
3 -1 1 295424 ultralytics.nn.modules.conv.Conv [128, 256, 3, 2]
4 -1 6 2101248 ultralytics.nn.modules.block.C2f [256, 256, 6, True]
5 -1 1 1180672 ultralytics.nn.modules.conv.Conv [256, 512, 3, 2]
6 -1 6 8396800 ultralytics.nn.modules.block.C2f [512, 512, 6, True]
7 -1 1 2360320 ultralytics.nn.modules.conv.Conv [512, 512, 3, 2]
8 -1 3 4461568 ultralytics.nn.modules.block.C2f [512, 512, 3, True]
9 -1 1 656896 ultralytics.nn.modules.block.SPPF [512, 512, 5]
10 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest']
11 [-1, 6] 1 0 ultralytics.nn.modules.conv.Concat [1]
12 -1 3 4723712 ultralytics.nn.modules.block.C2f [1024, 512, 3]
13 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest']
14 [-1, 4] 1 0 ultralytics.nn.modules.conv.Concat [1]
15 -1 3 1247744 ultralytics.nn.modules.block.C2f [768, 256, 3]
16 -1 1 590336 ultralytics.nn.modules.conv.Conv [256, 256, 3, 2]
17 [-1, 12] 1 0 ultralytics.nn.modules.conv.Concat [1]
18 -1 3 4592640 ultralytics.nn.modules.block.C2f [768, 512, 3]
19 -1 1 2360320 ultralytics.nn.modules.conv.Conv [512, 512, 3, 2]
20 [-1, 9] 1 0 ultralytics.nn.modules.conv.Concat [1]
21 -1 3 4723712 ultralytics.nn.modules.block.C2f [1024, 512, 3]
22 [15, 18, 21] 1 5583571 ultralytics.nn.modules.head.Detect [1, [256, 512, 512]]
Model summary: 365 layers, 43630611 parameters, 43630595 gradients, 165.4 GFLOPs
Transferred 589/595 items from pretrained weights
wandb: Currently logged in as: fin-jason20. Use `wandb login --relogin` to force relogin
wandb: Tracking run with wandb version 0.16.5
wandb: Run data is saved locally in /scratch/gilbreth/jpfinley/ultralytics/wandb/run-20240403_134647-fckl47fx
wandb: Run `wandb offline` to turn off syncing.
wandb: Syncing run train32
wandb: ⭐️ View project at https://wandb.ai/fin-jason20/YOLOv8
wandb: 🚀 View run at https://wandb.ai/fin-jason20/YOLOv8/runs/fckl47fx/workspace
Freezing layer 'model.22.dfl.conv.weight'
[34m[1mAMP: [0mrunning Automatic Mixed Precision (AMP) checks with YOLOv8n...
[34m[1mAMP: [0mchecks passed ✅
[34m[1mtrain: [0mScanning /scratch/gilbreth/jpfinley/ultralytics/datasets/micro/train/labels.cache... 12 images, 3 backgrounds, 0 corrupt: 100%|██████████| 15/15 [00:00<?, ?it/s][34m[1mtrain: [0mScanning /scratch/gilbreth/jpfinley/ultralytics/datasets/micro/train/labels.cache... 12 images, 3 backgrounds, 0 corrupt: 100%|██████████| 15/15 [00:00<?, ?it/s]
[34m[1mval: [0mScanning /scratch/gilbreth/jpfinley/ultralytics/datasets/micro/valid/labels.cache... 12 images, 3 backgrounds, 0 corrupt: 100%|██████████| 15/15 [00:00<?, ?it/s][34m[1mval: [0mScanning /scratch/gilbreth/jpfinley/ultralytics/datasets/micro/valid/labels.cache... 12 images, 3 backgrounds, 0 corrupt: 100%|██████████| 15/15 [00:00<?, ?it/s]
Plotting labels to runs/detect/train32/labels.jpg...
[34m[1moptimizer:[0m 'optimizer=auto' found, ignoring 'lr0=0.018953935738983678' and 'momentum=0.6176397242321043' and determining best 'optimizer', 'lr0' and 'momentum' automatically...
[34m[1moptimizer:[0m AdamW(lr=0.002, momentum=0.9) with parameter groups 97 weight(decay=0.0), 104 weight(decay=0.0005182340726400939), 103 bias(decay=0.0)
Image sizes 640 train, 640 val
Using 8 dataloader workers
Logging results to [1mruns/detect/train32[0m
Starting training for 50 epochs...
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 1/50 9.71G 0.02812 1.941 3.107 157 640: 0%| | 0/1 [00:05<?, ?it/s] 1/50 9.71G 0.02812 1.941 3.107 157 640: 100%|██████████| 1/1 [00:05<00:00, 5.02s/it] 1/50 9.71G 0.02812 1.941 3.107 157 640: 100%|██████████| 1/1 [00:05<00:00, 5.02s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 4.92it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 4.91it/s] all 15 182 0.00756 0.187 0.0046 0.00097
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 2/50 9.84G 0.02648 1.884 3.031 184 640: 0%| | 0/1 [00:00<?, ?it/s] 2/50 9.84G 0.02648 1.884 3.031 184 640: 100%|██████████| 1/1 [00:00<00:00, 3.38it/s] 2/50 9.84G 0.02648 1.884 3.031 184 640: 100%|██████████| 1/1 [00:00<00:00, 3.37it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 8.28it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 8.25it/s] all 15 182 0.00711 0.176 0.00433 0.00096
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 3/50 9.72G 0.0275 1.908 3.054 200 640: 0%| | 0/1 [00:00<?, ?it/s] 3/50 9.72G 0.0275 1.908 3.054 200 640: 100%|██████████| 1/1 [00:00<00:00, 2.91it/s] 3/50 9.72G 0.0275 1.908 3.054 200 640: 100%|██████████| 1/1 [00:00<00:00, 2.91it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 8.56it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 8.51it/s] all 15 182 0.00756 0.187 0.00468 0.00105
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 4/50 9.72G 0.02706 1.944 3.063 155 640: 0%| | 0/1 [00:00<?, ?it/s] 4/50 9.72G 0.02706 1.944 3.063 155 640: 100%|██████████| 1/1 [00:00<00:00, 3.64it/s] 4/50 9.72G 0.02706 1.944 3.063 155 640: 100%|██████████| 1/1 [00:00<00:00, 3.64it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 9.87it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 9.83it/s] all 15 182 0.00756 0.187 0.00471 0.00104
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 5/50 9.71G 0.02808 1.896 3.132 156 640: 0%| | 0/1 [00:00<?, ?it/s] 5/50 9.71G 0.02808 1.896 3.132 156 640: 100%|██████████| 1/1 [00:00<00:00, 3.00it/s] 5/50 9.71G 0.02808 1.896 3.132 156 640: 100%|██████████| 1/1 [00:00<00:00, 3.00it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 9.21it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 9.17it/s] all 15 182 0.0831 0.121 0.0432 0.0123
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 6/50 10.1G 0.02356 1.665 2.81 231 640: 0%| | 0/1 [00:00<?, ?it/s] 6/50 10.1G 0.02356 1.665 2.81 231 640: 100%|██████████| 1/1 [00:00<00:00, 3.75it/s] 6/50 10.1G 0.02356 1.665 2.81 231 640: 100%|██████████| 1/1 [00:00<00:00, 3.74it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 9.21it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 9.19it/s] all 15 182 0.0815 0.33 0.0663 0.0166
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 7/50 10G 0.02076 2.162 2.633 134 640: 0%| | 0/1 [00:00<?, ?it/s] 7/50 10G 0.02076 2.162 2.633 134 640: 100%|██████████| 1/1 [00:00<00:00, 3.85it/s] 7/50 10G 0.02076 2.162 2.633 134 640: 100%|██████████| 1/1 [00:00<00:00, 3.85it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 9.28it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 9.23it/s] all 15 182 0.0839 0.324 0.0682 0.0169
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 8/50 10.1G 0.02058 1.833 2.74 170 640: 0%| | 0/1 [00:00<?, ?it/s] 8/50 10.1G 0.02058 1.833 2.74 170 640: 100%|██████████| 1/1 [00:00<00:00, 3.88it/s] 8/50 10.1G 0.02058 1.833 2.74 170 640: 100%|██████████| 1/1 [00:00<00:00, 3.88it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 9.36it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 9.31it/s] all 15 182 0.0927 0.308 0.069 0.0173
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 9/50 10.1G 0.02105 1.821 2.763 170 640: 0%| | 0/1 [00:00<?, ?it/s] 9/50 10.1G 0.02105 1.821 2.763 170 640: 100%|██████████| 1/1 [00:00<00:00, 3.73it/s] 9/50 10.1G 0.02105 1.821 2.763 170 640: 100%|██████████| 1/1 [00:00<00:00, 3.72it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 9.83it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 9.81it/s] all 15 182 0.0162 0.401 0.012 0.00319
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 10/50 10.1G 0.01902 1.618 2.433 230 640: 0%| | 0/1 [00:00<?, ?it/s] 10/50 10.1G 0.01902 1.618 2.433 230 640: 100%|██████████| 1/1 [00:00<00:00, 3.70it/s] 10/50 10.1G 0.01902 1.618 2.433 230 640: 100%|██████████| 1/1 [00:00<00:00, 3.70it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 9.67it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 9.64it/s] all 15 182 0.727 0.044 0.163 0.0392
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 11/50 10.1G 0.01762 1.724 2.145 166 640: 0%| | 0/1 [00:00<?, ?it/s] 11/50 10.1G 0.01762 1.724 2.145 166 640: 100%|██████████| 1/1 [00:00<00:00, 3.75it/s] 11/50 10.1G 0.01762 1.724 2.145 166 640: 100%|██████████| 1/1 [00:00<00:00, 3.74it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 10.13it/s] all 15 182 0.045 0.544 0.0384 0.0101
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 12/50 10.1G 0.01619 1.24 2.296 164 640: 0%| | 0/1 [00:00<?, ?it/s] 12/50 10.1G 0.01619 1.24 2.296 164 640: 100%|██████████| 1/1 [00:00<00:00, 3.73it/s] 12/50 10.1G 0.01619 1.24 2.296 164 640: 100%|██████████| 1/1 [00:00<00:00, 3.73it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 11.66it/s] all 15 182 0.106 0.566 0.0938 0.0269
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 13/50 10.1G 0.01762 1.947 2.45 225 640: 0%| | 0/1 [00:00<?, ?it/s] 13/50 10.1G 0.01762 1.947 2.45 225 640: 100%|██████████| 1/1 [00:00<00:00, 3.81it/s] 13/50 10.1G 0.01762 1.947 2.45 225 640: 100%|██████████| 1/1 [00:00<00:00, 3.81it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 12.30it/s] all 15 182 0.123 0.637 0.104 0.0297
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 14/50 10.1G 0.01671 1.11 2.372 196 640: 0%| | 0/1 [00:00<?, ?it/s] 14/50 10.1G 0.01671 1.11 2.372 196 640: 100%|██████████| 1/1 [00:00<00:00, 3.67it/s] 14/50 10.1G 0.01671 1.11 2.372 196 640: 100%|██████████| 1/1 [00:00<00:00, 3.66it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 12.23it/s] all 15 182 0.12 0.654 0.101 0.0312
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 15/50 10.1G 0.01632 1.011 2.3 171 640: 0%| | 0/1 [00:00<?, ?it/s] 15/50 10.1G 0.01632 1.011 2.3 171 640: 100%|██████████| 1/1 [00:00<00:00, 3.64it/s] 15/50 10.1G 0.01632 1.011 2.3 171 640: 100%|██████████| 1/1 [00:00<00:00, 3.64it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 11.11it/s] all 15 182 0.0563 0.659 0.0486 0.0161
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 16/50 10.1G 0.01507 1.137 2.089 147 640: 0%| | 0/1 [00:00<?, ?it/s] 16/50 10.1G 0.01507 1.137 2.089 147 640: 100%|██████████| 1/1 [00:00<00:00, 3.51it/s] 16/50 10.1G 0.01507 1.137 2.089 147 640: 100%|██████████| 1/1 [00:00<00:00, 3.51it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 12.66it/s] all 15 182 0.206 0.67 0.181 0.0599
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 17/50 10.1G 0.01485 0.9535 2.089 210 640: 0%| | 0/1 [00:00<?, ?it/s] 17/50 10.1G 0.01485 0.9535 2.089 210 640: 100%|██████████| 1/1 [00:00<00:00, 3.76it/s] 17/50 10.1G 0.01485 0.9535 2.089 210 640: 100%|██████████| 1/1 [00:00<00:00, 3.76it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 12.29it/s] all 15 182 0.102 0.863 0.111 0.0356
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 18/50 10.1G 0.01641 1.505 2.317 171 640: 0%| | 0/1 [00:00<?, ?it/s] 18/50 10.1G 0.01641 1.505 2.317 171 640: 100%|██████████| 1/1 [00:00<00:00, 4.16it/s] 18/50 10.1G 0.01641 1.505 2.317 171 640: 100%|██████████| 1/1 [00:00<00:00, 4.16it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 11.76it/s] all 15 182 0.102 0.863 0.111 0.0356
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 19/50 10.2G 0.01591 1.199 2.267 213 640: 0%| | 0/1 [00:00<?, ?it/s] 19/50 10.2G 0.01591 1.199 2.267 213 640: 100%|██████████| 1/1 [00:00<00:00, 4.28it/s] 19/50 10.2G 0.01591 1.199 2.267 213 640: 100%|██████████| 1/1 [00:00<00:00, 4.28it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 12.32it/s] all 15 182 0.0742 0.769 0.0709 0.0236
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 20/50 10.1G 0.01572 0.923 2.341 182 640: 0%| | 0/1 [00:00<?, ?it/s] 20/50 10.1G 0.01572 0.923 2.341 182 640: 100%|██████████| 1/1 [00:00<00:00, 4.13it/s] 20/50 10.1G 0.01572 0.923 2.341 182 640: 100%|██████████| 1/1 [00:00<00:00, 4.13it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 11.48it/s] all 15 182 0.0742 0.769 0.0709 0.0236
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 21/50 10.2G 0.0156 1.01 2.287 158 640: 0%| | 0/1 [00:00<?, ?it/s] 21/50 10.2G 0.0156 1.01 2.287 158 640: 100%|██████████| 1/1 [00:00<00:00, 3.71it/s] 21/50 10.2G 0.0156 1.01 2.287 158 640: 100%|██████████| 1/1 [00:00<00:00, 3.71it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 12.01it/s] all 15 182 0.358 0.747 0.355 0.103
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 22/50 10.1G 0.01494 0.9772 2.24 234 640: 0%| | 0/1 [00:00<?, ?it/s] 22/50 10.1G 0.01494 0.9772 2.24 234 640: 100%|██████████| 1/1 [00:00<00:00, 4.19it/s] 22/50 10.1G 0.01494 0.9772 2.24 234 640: 100%|██████████| 1/1 [00:00<00:00, 4.18it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 12.70it/s] all 15 182 0.358 0.747 0.355 0.103
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 23/50 10.2G 0.01533 0.9579 2.241 197 640: 0%| | 0/1 [00:00<?, ?it/s] 23/50 10.2G 0.01533 0.9579 2.241 197 640: 100%|██████████| 1/1 [00:00<00:00, 4.16it/s] 23/50 10.2G 0.01533 0.9579 2.241 197 640: 100%|██████████| 1/1 [00:00<00:00, 4.15it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 12.68it/s] all 15 182 0.126 0.791 0.121 0.0406
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 24/50 10.1G 0.01546 1.032 2.237 195 640: 0%| | 0/1 [00:00<?, ?it/s] 24/50 10.1G 0.01546 1.032 2.237 195 640: 100%|██████████| 1/1 [00:00<00:00, 4.05it/s] 24/50 10.1G 0.01546 1.032 2.237 195 640: 100%|██████████| 1/1 [00:00<00:00, 4.05it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 13.62it/s] all 15 182 0.126 0.791 0.121 0.0406
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 25/50 10.2G 0.01607 0.9391 2.327 255 640: 0%| | 0/1 [00:00<?, ?it/s] 25/50 10.2G 0.01607 0.9391 2.327 255 640: 100%|██████████| 1/1 [00:00<00:00, 3.87it/s] 25/50 10.2G 0.01607 0.9391 2.327 255 640: 100%|██████████| 1/1 [00:00<00:00, 3.87it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 13.13it/s] all 15 182 0.137 0.819 0.129 0.0438
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 26/50 10G 0.01433 0.9326 2.114 158 640: 0%| | 0/1 [00:00<?, ?it/s] 26/50 10G 0.01433 0.9326 2.114 158 640: 100%|██████████| 1/1 [00:00<00:00, 3.86it/s] 26/50 10G 0.01433 0.9326 2.114 158 640: 100%|██████████| 1/1 [00:00<00:00, 3.86it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 13.52it/s] all 15 182 0.137 0.819 0.129 0.0438
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 27/50 10.2G 0.01486 0.7726 2.184 288 640: 0%| | 0/1 [00:00<?, ?it/s] 27/50 10.2G 0.01486 0.7726 2.184 288 640: 100%|██████████| 1/1 [00:00<00:00, 4.26it/s] 27/50 10.2G 0.01486 0.7726 2.184 288 640: 100%|██████████| 1/1 [00:00<00:00, 4.25it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 13.13it/s] all 15 182 0.122 0.78 0.119 0.0363
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 28/50 10G 0.01632 1.178 2.316 131 640: 0%| | 0/1 [00:00<?, ?it/s] 28/50 10G 0.01632 1.178 2.316 131 640: 100%|██████████| 1/1 [00:00<00:00, 4.09it/s] 28/50 10G 0.01632 1.178 2.316 131 640: 100%|██████████| 1/1 [00:00<00:00, 4.08it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 12.68it/s] all 15 182 0.122 0.78 0.119 0.0363
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 29/50 10.2G 0.01478 0.8588 2.247 228 640: 0%| | 0/1 [00:00<?, ?it/s] 29/50 10.2G 0.01478 0.8588 2.247 228 640: 100%|██████████| 1/1 [00:00<00:00, 3.18it/s] 29/50 10.2G 0.01478 0.8588 2.247 228 640: 100%|██████████| 1/1 [00:00<00:00, 3.18it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 13.55it/s] all 15 182 0.0846 0.473 0.0714 0.0199
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 30/50 10.1G 0.01512 0.8827 2.242 217 640: 0%| | 0/1 [00:00<?, ?it/s] 30/50 10.1G 0.01512 0.8827 2.242 217 640: 100%|██████████| 1/1 [00:00<00:00, 3.15it/s] 30/50 10.1G 0.01512 0.8827 2.242 217 640: 100%|██████████| 1/1 [00:00<00:00, 3.15it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 12.41it/s] all 15 182 0.0846 0.473 0.0714 0.0199
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 31/50 10.2G 0.01454 0.8603 2.159 243 640: 0%| | 0/1 [00:00<?, ?it/s] 31/50 10.2G 0.01454 0.8603 2.159 243 640: 100%|██████████| 1/1 [00:00<00:00, 3.97it/s] 31/50 10.2G 0.01454 0.8603 2.159 243 640: 100%|██████████| 1/1 [00:00<00:00, 3.97it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 13.32it/s] all 15 182 0.083 0.555 0.0716 0.0204
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 32/50 10.1G 0.01508 0.8169 2.189 182 640: 0%| | 0/1 [00:00<?, ?it/s] 32/50 10.1G 0.01508 0.8169 2.189 182 640: 100%|██████████| 1/1 [00:00<00:00, 4.22it/s] 32/50 10.1G 0.01508 0.8169 2.189 182 640: 100%|██████████| 1/1 [00:00<00:00, 4.21it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 12.29it/s] all 15 182 0.083 0.555 0.0716 0.0204
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 33/50 10.2G 0.01358 0.7959 2.102 265 640: 0%| | 0/1 [00:00<?, ?it/s] 33/50 10.2G 0.01358 0.7959 2.102 265 640: 100%|██████████| 1/1 [00:00<00:00, 4.04it/s] 33/50 10.2G 0.01358 0.7959 2.102 265 640: 100%|██████████| 1/1 [00:00<00:00, 4.04it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 12.29it/s] all 15 182 0.0911 0.709 0.105 0.0354
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 34/50 10.1G 0.01407 0.8704 2.127 245 640: 0%| | 0/1 [00:00<?, ?it/s] 34/50 10.1G 0.01407 0.8704 2.127 245 640: 100%|██████████| 1/1 [00:00<00:00, 4.02it/s] 34/50 10.1G 0.01407 0.8704 2.127 245 640: 100%|██████████| 1/1 [00:00<00:00, 4.02it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 12.00it/s] all 15 182 0.0911 0.709 0.105 0.0354
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 35/50 10.2G 0.01322 0.8706 2.015 207 640: 0%| | 0/1 [00:00<?, ?it/s] 35/50 10.2G 0.01322 0.8706 2.015 207 640: 100%|██████████| 1/1 [00:00<00:00, 4.26it/s] 35/50 10.2G 0.01322 0.8706 2.015 207 640: 100%|██████████| 1/1 [00:00<00:00, 4.26it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 12.75it/s] all 15 182 0.0838 0.593 0.0695 0.0206
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 36/50 10.1G 0.01365 0.711 2.029 222 640: 0%| | 0/1 [00:00<?, ?it/s] 36/50 10.1G 0.01365 0.711 2.029 222 640: 100%|██████████| 1/1 [00:00<00:00, 4.04it/s] 36/50 10.1G 0.01365 0.711 2.029 222 640: 100%|██████████| 1/1 [00:00<00:00, 4.04it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 11.84it/s] all 15 182 0.0838 0.593 0.0695 0.0206
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 37/50 10.2G 0.0137 0.7978 2.058 166 640: 0%| | 0/1 [00:00<?, ?it/s] 37/50 10.2G 0.0137 0.7978 2.058 166 640: 100%|██████████| 1/1 [00:00<00:00, 4.09it/s] 37/50 10.2G 0.0137 0.7978 2.058 166 640: 100%|██████████| 1/1 [00:00<00:00, 4.09it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 11.96it/s] all 15 182 0.0365 0.418 0.029 0.00981
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 38/50 10G 0.01342 0.8165 2.009 154 640: 0%| | 0/1 [00:00<?, ?it/s] 38/50 10G 0.01342 0.8165 2.009 154 640: 100%|██████████| 1/1 [00:00<00:00, 4.11it/s] 38/50 10G 0.01342 0.8165 2.009 154 640: 100%|██████████| 1/1 [00:00<00:00, 4.10it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 12.25it/s] all 15 182 0.0365 0.418 0.029 0.00981
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 39/50 10.2G 0.01425 0.8602 2.143 213 640: 0%| | 0/1 [00:00<?, ?it/s] 39/50 10.2G 0.01425 0.8602 2.143 213 640: 100%|██████████| 1/1 [00:00<00:00, 4.16it/s] 39/50 10.2G 0.01425 0.8602 2.143 213 640: 100%|██████████| 1/1 [00:00<00:00, 4.16it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 12.17it/s] all 15 182 0.312 0.401 0.197 0.054
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 40/50 10.1G 0.01569 0.8669 2.158 218 640: 0%| | 0/1 [00:00<?, ?it/s] 40/50 10.1G 0.01569 0.8669 2.158 218 640: 100%|██████████| 1/1 [00:00<00:00, 3.87it/s] 40/50 10.1G 0.01569 0.8669 2.158 218 640: 100%|██████████| 1/1 [00:00<00:00, 3.87it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 11.71it/s] all 15 182 0.312 0.401 0.197 0.054
Closing dataloader mosaic
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 41/50 10.1G 0.01314 0.8487 2.045 86 640: 0%| | 0/1 [00:01<?, ?it/s] 41/50 10.1G 0.01314 0.8487 2.045 86 640: 100%|██████████| 1/1 [00:01<00:00, 1.95s/it] 41/50 10.1G 0.01314 0.8487 2.045 86 640: 100%|██████████| 1/1 [00:01<00:00, 1.95s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 10.65it/s] all 15 182 0.369 0.39 0.26 0.0661
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 42/50 10G 0.01245 0.7426 1.921 103 640: 0%| | 0/1 [00:00<?, ?it/s] 42/50 10G 0.01245 0.7426 1.921 103 640: 100%|██████████| 1/1 [00:00<00:00, 4.19it/s] 42/50 10G 0.01245 0.7426 1.921 103 640: 100%|██████████| 1/1 [00:00<00:00, 4.19it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 10.56it/s] all 15 182 0.369 0.39 0.26 0.0661
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 43/50 10.1G 0.01379 0.7904 2.113 103 640: 0%| | 0/1 [00:00<?, ?it/s] 43/50 10.1G 0.01379 0.7904 2.113 103 640: 100%|██████████| 1/1 [00:00<00:00, 3.26it/s] 43/50 10.1G 0.01379 0.7904 2.113 103 640: 100%|██████████| 1/1 [00:00<00:00, 3.26it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 10.34it/s] all 15 182 0.33 0.346 0.215 0.0658
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 44/50 10G 0.01283 0.7158 1.95 108 640: 0%| | 0/1 [00:00<?, ?it/s] 44/50 10G 0.01283 0.7158 1.95 108 640: 100%|██████████| 1/1 [00:00<00:00, 3.98it/s] 44/50 10G 0.01283 0.7158 1.95 108 640: 100%|██████████| 1/1 [00:00<00:00, 3.98it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 12.54it/s] all 15 182 0.33 0.346 0.215 0.0658
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 45/50 10.1G 0.01137 0.6518 1.866 100 640: 0%| | 0/1 [00:00<?, ?it/s] 45/50 10.1G 0.01137 0.6518 1.866 100 640: 100%|██████████| 1/1 [00:00<00:00, 3.86it/s] 45/50 10.1G 0.01137 0.6518 1.866 100 640: 100%|██████████| 1/1 [00:00<00:00, 3.86it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 12.20it/s] all 15 182 0.388 0.28 0.215 0.068
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 46/50 10G 0.0131 0.6754 1.99 96 640: 0%| | 0/1 [00:00<?, ?it/s] 46/50 10G 0.0131 0.6754 1.99 96 640: 100%|██████████| 1/1 [00:00<00:00, 4.02it/s] 46/50 10G 0.0131 0.6754 1.99 96 640: 100%|██████████| 1/1 [00:00<00:00, 4.01it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 12.67it/s] all 15 182 0.388 0.28 0.215 0.068
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 47/50 10.1G 0.01303 0.6418 2.062 100 640: 0%| | 0/1 [00:00<?, ?it/s] 47/50 10.1G 0.01303 0.6418 2.062 100 640: 100%|██████████| 1/1 [00:00<00:00, 4.10it/s] 47/50 10.1G 0.01303 0.6418 2.062 100 640: 100%|██████████| 1/1 [00:00<00:00, 4.09it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 13.16it/s] all 15 182 0.488 0.33 0.258 0.0843
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 48/50 10G 0.01355 0.6511 1.97 97 640: 0%| | 0/1 [00:00<?, ?it/s] 48/50 10G 0.01355 0.6511 1.97 97 640: 100%|██████████| 1/1 [00:00<00:00, 3.89it/s] 48/50 10G 0.01355 0.6511 1.97 97 640: 100%|██████████| 1/1 [00:00<00:00, 3.89it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 13.29it/s] all 15 182 0.488 0.33 0.258 0.0843
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 49/50 10.1G 0.01267 0.6595 1.928 101 640: 0%| | 0/1 [00:00<?, ?it/s] 49/50 10.1G 0.01267 0.6595 1.928 101 640: 100%|██████████| 1/1 [00:00<00:00, 3.93it/s] 49/50 10.1G 0.01267 0.6595 1.928 101 640: 100%|██████████| 1/1 [00:00<00:00, 3.92it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 12.69it/s] all 15 182 0.214 0.313 0.103 0.0336
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
0%| | 0/1 [00:00<?, ?it/s] 50/50 10G 0.01162 0.6172 1.828 103 640: 0%| | 0/1 [00:00<?, ?it/s] 50/50 10G 0.01162 0.6172 1.828 103 640: 100%|██████████| 1/1 [00:00<00:00, 3.92it/s] 50/50 10G 0.01162 0.6172 1.828 103 640: 100%|██████████| 1/1 [00:00<00:00, 3.92it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 13.09it/s] all 15 182 0.214 0.313 0.103 0.0336
50 epochs completed in 0.021 hours.
Optimizer stripped from runs/detect/train32/weights/last.pt, 87.7MB
Optimizer stripped from runs/detect/train32/weights/best.pt, 87.6MB
Validating runs/detect/train32/weights/best.pt...
Ultralytics YOLOv8.1.13 🚀 Python-3.8.18 torch-2.1.1+cu121 CUDA:0 (NVIDIA A100 80GB PCIe, 81050MiB)
Model summary (fused): 268 layers, 43607379 parameters, 0 gradients, 164.8 GFLOPs
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 7.34it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 7.28it/s] all 15 182 0.359 0.747 0.356 0.103
Speed: 0.1ms preprocess, 2.8ms inference, 0.0ms loss, 0.6ms postprocess per image
Results saved to [1mruns/detect/train32[0m
wandb: - 89.650 MB of 89.655 MB uploadedwandb: \ 89.655 MB of 89.655 MB uploadedwandb: | 89.655 MB of 89.655 MB uploadedwandb: / 89.655 MB of 89.655 MB uploadedwandb: - 89.655 MB of 89.655 MB uploadedwandb: \ 89.689 MB of 89.735 MB uploaded (0.002 MB deduped)wandb: | 89.689 MB of 89.735 MB uploaded (0.002 MB deduped)wandb: / 89.735 MB of 89.735 MB uploaded (0.002 MB deduped)wandb:
wandb:
wandb: Run history:
wandb: lr/pg0 ▁▁▂▂▃▃▃▃▄▄▄▅▅▅▅▆▆▆▆▇▇▇▇▇▇▇██████████████
wandb: lr/pg1 ▁▁▂▂▃▃▃▃▄▄▄▅▅▅▅▆▆▆▆▇▇▇▇▇▇▇██████████████
wandb: lr/pg2 ▁▁▂▂▃▃▃▃▄▄▄▅▅▅▅▆▆▆▆▇▇▇▇▇▇▇██████████████
wandb: metrics/mAP50(B) ▁▁▁▁▂▂▂▁▂▃▃▃▅▃▃▂██▃▃▃▃▃▂▂▂▃▃▂▁▁▅▆▆▅▅▅▆▆█
wandb: metrics/mAP50-95(B) ▁▁▁▁▂▂▂▁▂▃▃▃▅▃▃▃██▄▄▄▃▃▂▂▂▃▃▂▂▂▅▅▅▅▅▆▇▇█
wandb: metrics/precision(B) ▁▁▁▁▂▂▂▁▂▂▃▃▄▂▂▂▆▆▃▃▃▃▃▂▂▂▂▂▂▁▁▅▆▆▆▆▇██▆
wandb: metrics/recall(B) ▁▁▁▁▃▃▂▃▅▅▆▆▆██▇▇▇▇▇█▇▇▄▅▅▆▆▅▃▃▃▃▃▃▃▂▃▃▇
wandb: model/GFLOPs ▁
wandb: model/parameters ▁
wandb: model/speed_PyTorch(ms) ▁
wandb: train/box_loss █▇██▆▅▅▅▄▃▄▃▂▂▃▃▃▂▃▃▂▂▃▂▂▂▂▂▂▂▂▂▂▁▂▂▂▂▂▁
wandb: train/cls_loss ▇▇▇▇▆█▇▆▆▄▇▃▃▃▅▄▃▃▃▃▂▂▄▂▂▂▂▂▁▂▂▂▂▂▂▁▁▁▁▁
wandb: train/dfl_loss ████▆▅▆▆▃▄▄▄▂▂▄▃▄▃▃▃▃▃▄▃▃▃▂▃▂▂▂▃▂▂▃▂▂▂▂▁
wandb: val/box_loss ████▂▂▂▁▁▂▃▁ ▃▃▃▃▃▃
wandb: val/cls_loss ▂▂▂▂ ▂█ ▂▂▁▁▁
wandb: val/dfl_loss ▃▃▃▃▂▂▂▁▁▅▆▄ ██▅▅▅▅
wandb:
wandb: Run summary:
wandb: lr/pg0 0.00041
wandb: lr/pg1 0.00041
wandb: lr/pg2 0.00041
wandb: metrics/mAP50(B) 0.35609
wandb: metrics/mAP50-95(B) 0.10305
wandb: metrics/precision(B) 0.35903
wandb: metrics/recall(B) 0.74725
wandb: model/GFLOPs 165.403
wandb: model/parameters 43630611
wandb: model/speed_PyTorch(ms) 8.841
wandb: train/box_loss 0.01162
wandb: train/cls_loss 0.61719
wandb: train/dfl_loss 1.82839
wandb: val/box_loss 0.02278
wandb: val/cls_loss nan
wandb: val/dfl_loss 3.58545
wandb:
wandb: 🚀 View run train32 at: https://wandb.ai/fin-jason20/YOLOv8/runs/fckl47fx/workspace
wandb: Synced 6 W&B file(s), 20 media file(s), 7 artifact file(s) and 0 other file(s)
wandb: Find logs at: ./wandb/run-20240403_134647-fckl47fx/logs
Ultralytics YOLOv8.1.13 🚀 Python-3.8.18 torch-2.1.1+cu121 CUDA:0 (NVIDIA A100 80GB PCIe, 81050MiB)
Model summary (fused): 268 layers, 43607379 parameters, 0 gradients, 164.8 GFLOPs
[34m[1mval: [0mScanning /scratch/gilbreth/jpfinley/ultralytics/datasets/micro/valid/labels.cache... 12 images, 3 backgrounds, 0 corrupt: 100%|██████████| 15/15 [00:00<?, ?it/s][34m[1mval: [0mScanning /scratch/gilbreth/jpfinley/ultralytics/datasets/micro/valid/labels.cache... 12 images, 3 backgrounds, 0 corrupt: 100%|██████████| 15/15 [00:00<?, ?it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 0%| | 0/1 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 1.42it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 1.42it/s] all 15 182 0.353 0.736 0.348 0.102
Speed: 0.1ms preprocess, 7.6ms inference, 0.0ms loss, 0.9ms postprocess per image
Results saved to [1mruns/detect/train322[0m
ultralytics.utils.metrics.DetMetrics object with attributes:
ap_class_index: array([0])
box: ultralytics.utils.metrics.Metric object
confusion_matrix: <ultralytics.utils.metrics.ConfusionMatrix object at 0x2b7826585190>
curves: ['Precision-Recall(B)', 'F1-Confidence(B)', 'Precision-Confidence(B)', 'Recall-Confidence(B)']
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fitness: 0.12652379167622413
keys: ['metrics/precision(B)', 'metrics/recall(B)', 'metrics/mAP50(B)', 'metrics/mAP50-95(B)']
maps: array([ 0.10187])
names: {0: 'microglia'}
plot: True
results_dict: {'metrics/precision(B)': 0.3527987890901954, 'metrics/recall(B)': 0.7362637362637363, 'metrics/mAP50(B)': 0.348397691671631, 'metrics/mAP50-95(B)': 0.10187113612117893, 'fitness': 0.12652379167622413}
save_dir: PosixPath('runs/detect/train322')
speed: {'preprocess': 0.08835792541503906, 'inference': 7.5799306233723955, 'loss': 0.0005404154459635416, 'postprocess': 0.8618672688802084}
task: 'detect'