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kopyl
Apr 5th, 2024
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  1. Ultralytics YOLOv8.0.124 🚀 Python-3.8.10 torch-1.13.0+cu117 CUDA:0 (NVIDIA A100 80GB PCIe, 81051MiB)
  2. WARNING ⚠️ Upgrade to torch>=2.0.0 for deterministic training.
  3. yolo/engine/trainer: recipe=None, recipe_args=None, datasets_dir=None, task=detect, mode=train, model=zoo:cv/detection/yolov8-x/pytorch/ultralytics/coco/base-none, data=/tables-dataset/data.yaml, epochs=100000, patience=50, batch=63, imgsz=640, save=True, save_period=-1, cache=False, device=None, workers=8, project=None, name=None, exist_ok=False, pretrained=False, optimizer=SGD, verbose=False, seed=0, deterministic=True, single_cls=False, image_weights=False, rect=False, cos_lr=False, close_mosaic=10, resume=False, amp=True, fraction=1.0, profile=False, min_memory=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, show=False, save_txt=False, save_conf=False, save_crop=False, show_labels=True, show_conf=True, vid_stride=1, line_width=3, visualize=False, augment=False, agnostic_nms=False, classes=None, retina_masks=False, boxes=True, format=torchscript, keras=False, optimize=False, int8=False, dynamic=False, simplify=False, opset=17, 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, fl_gamma=0.0, 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=None, v5loader=False, save_dir=runs/detect/train26
  4. Overriding model.yaml nc=80 with nc=11
  5.  
  6. from n params module arguments
  7. 0 -1 1 2320 ultralytics.nn.modules.conv.Conv [3, 80, 3, 2]
  8. 1 -1 1 115520 ultralytics.nn.modules.conv.Conv [80, 160, 3, 2]
  9. 2 -1 3 436800 ultralytics.nn.modules.block.C2f [160, 160, 3, True]
  10. 3 -1 1 461440 ultralytics.nn.modules.conv.Conv [160, 320, 3, 2]
  11. 4 -1 6 3281920 ultralytics.nn.modules.block.C2f [320, 320, 6, True]
  12. 5 -1 1 1844480 ultralytics.nn.modules.conv.Conv [320, 640, 3, 2]
  13. 6 -1 6 13117440 ultralytics.nn.modules.block.C2f [640, 640, 6, True]
  14. 7 -1 1 3687680 ultralytics.nn.modules.conv.Conv [640, 640, 3, 2]
  15. 8 -1 3 6969600 ultralytics.nn.modules.block.C2f [640, 640, 3, True]
  16. 9 -1 1 1025920 ultralytics.nn.modules.block.SPPF [640, 640, 5]
  17. 10 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest']
  18. 11 [-1, 6] 1 0 ultralytics.nn.modules.conv.Concat [1]
  19. 12 -1 3 7379200 ultralytics.nn.modules.block.C2f [1280, 640, 3]
  20. 13 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest']
  21. 14 [-1, 4] 1 0 ultralytics.nn.modules.conv.Concat [1]
  22. 15 -1 3 1948800 ultralytics.nn.modules.block.C2f [960, 320, 3]
  23. 16 -1 1 922240 ultralytics.nn.modules.conv.Conv [320, 320, 3, 2]
  24. 17 [-1, 12] 1 0 ultralytics.nn.modules.conv.Concat [1]
  25. 18 -1 3 7174400 ultralytics.nn.modules.block.C2f [960, 640, 3]
  26. 19 -1 1 3687680 ultralytics.nn.modules.conv.Conv [640, 640, 3, 2]
  27. 20 [-1, 9] 1 0 ultralytics.nn.modules.conv.Concat [1]
  28. 21 -1 3 7379200 ultralytics.nn.modules.block.C2f [1280, 640, 3]
  29. 22 [15, 18, 21] 1 8728561 ultralytics.nn.modules.head.Detect [11, [320, 640, 640]]
  30. Model summary: 365 layers, 68163201 parameters, 68163185 gradients
  31.  
  32. Transferred 589/595 items from pretrained weights
  33. Received torch.nn.Module, not loading from checkpoint
  34. AMP: running Automatic Mixed Precision (AMP) checks with YOLOv8n...
  35. AMP: checks passed ✅
  36. train: Scanning /tables-dataset/train/labels.cache... 69375 images, 272 backgrou
  37. train: WARNING ⚠️ /tables-dataset/train/images/train-10045.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0001]
  38. train: WARNING ⚠️ /tables-dataset/train/images/train-10376.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0005]
  39. train: WARNING ⚠️ /tables-dataset/train/images/train-10443.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1]
  40. train: WARNING ⚠️ /tables-dataset/train/images/train-10457.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0002]
  41. train: WARNING ⚠️ /tables-dataset/train/images/train-10510.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.001]
  42. train: WARNING ⚠️ /tables-dataset/train/images/train-10527.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0011]
  43. train: WARNING ⚠️ /tables-dataset/train/images/train-10580.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0013]
  44. train: WARNING ⚠️ /tables-dataset/train/images/train-10817.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0011 1.0003]
  45. train: WARNING ⚠️ /tables-dataset/train/images/train-10982.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0009]
  46. train: WARNING ⚠️ /tables-dataset/train/images/train-11026.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0005]
  47. train: WARNING ⚠️ /tables-dataset/train/images/train-11182.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0003]
  48. train: WARNING ⚠️ /tables-dataset/train/images/train-1146.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0005 1.0003]
  49. train: WARNING ⚠️ /tables-dataset/train/images/train-11537.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0011]
  50. train: WARNING ⚠️ /tables-dataset/train/images/train-11729.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0005]
  51. train: WARNING ⚠️ /tables-dataset/train/images/train-12011.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0005 1.0005]
  52. train: WARNING ⚠️ /tables-dataset/train/images/train-12036.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0002]
  53. train: WARNING ⚠️ /tables-dataset/train/images/train-12112.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0002]
  54. train: WARNING ⚠️ /tables-dataset/train/images/train-1212.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0001]
  55. train: WARNING ⚠️ /tables-dataset/train/images/train-12189.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0008]
  56. train: WARNING ⚠️ /tables-dataset/train/images/train-12256.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0011]
  57. train: WARNING ⚠️ /tables-dataset/train/images/train-12516.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0004]
  58. train: WARNING ⚠️ /tables-dataset/train/images/train-12614.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0003]
  59. train: WARNING ⚠️ /tables-dataset/train/images/train-12673.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0014]
  60. train: WARNING ⚠️ /tables-dataset/train/images/train-12712.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0003]
  61. train: WARNING ⚠️ /tables-dataset/train/images/train-12791.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0001]
  62. train: WARNING ⚠️ /tables-dataset/train/images/train-13005.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0009]
  63. train: WARNING ⚠️ /tables-dataset/train/images/train-13025.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0005]
  64. train: WARNING ⚠️ /tables-dataset/train/images/train-1307.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0002]
  65. train: WARNING ⚠️ /tables-dataset/train/images/train-13103.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0008]
  66. train: WARNING ⚠️ /tables-dataset/train/images/train-13132.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0002]
  67. train: WARNING ⚠️ /tables-dataset/train/images/train-1318.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0011]
  68. train: WARNING ⚠️ /tables-dataset/train/images/train-1320.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0003]
  69. train: WARNING ⚠️ /tables-dataset/train/images/train-13339.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0013]
  70. train: WARNING ⚠️ /tables-dataset/train/images/train-13676.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0009]
  71. train: WARNING ⚠️ /tables-dataset/train/images/train-1391.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0002]
  72. train: WARNING ⚠️ /tables-dataset/train/images/train-14054.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0008 1.001]
  73. train: WARNING ⚠️ /tables-dataset/train/images/train-14058.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0001]
  74. train: WARNING ⚠️ /tables-dataset/train/images/train-14167.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0005]
  75. train: WARNING ⚠️ /tables-dataset/train/images/train-14278.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0009]
  76. train: WARNING ⚠️ /tables-dataset/train/images/train-14344.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0008]
  77. train: WARNING ⚠️ /tables-dataset/train/images/train-1448.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0005]
  78. train: WARNING ⚠️ /tables-dataset/train/images/train-14495.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0005]
  79. train: WARNING ⚠️ /tables-dataset/train/images/train-14611.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0013 1.0013]
  80. train: WARNING ⚠️ /tables-dataset/train/images/train-1463.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0012]
  81. train: WARNING ⚠️ /tables-dataset/train/images/train-1477.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0001]
  82. train: WARNING ⚠️ /tables-dataset/train/images/train-14780.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0007]
  83. train: WARNING ⚠️ /tables-dataset/train/images/train-15007.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0003]
  84. train: WARNING ⚠️ /tables-dataset/train/images/train-15271.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0005]
  85. train: WARNING ⚠️ /tables-dataset/train/images/train-1533.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.002 1.0013]
  86. train: WARNING ⚠️ /tables-dataset/train/images/train-15652.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0009 1.0013]
  87. train: WARNING ⚠️ /tables-dataset/train/images/train-15694.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0005]
  88. train: WARNING ⚠️ /tables-dataset/train/images/train-15951.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0003]
  89. train: WARNING ⚠️ /tables-dataset/train/images/train-16125.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0004]
  90. train: WARNING ⚠️ /tables-dataset/train/images/train-16219.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0002]
  91. train: WARNING ⚠️ /tables-dataset/train/images/train-16334.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0005]
  92. train: WARNING ⚠️ /tables-dataset/train/images/train-16531.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0007]
  93. train: WARNING ⚠️ /tables-dataset/train/images/train-16729.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0002]
  94. train: WARNING ⚠️ /tables-dataset/train/images/train-16743.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0001]
  95. train: WARNING ⚠️ /tables-dataset/train/images/train-16798.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0003]
  96. train: WARNING ⚠️ /tables-dataset/train/images/train-16844.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0002]
  97. train: WARNING ⚠️ /tables-dataset/train/images/train-16931.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0001]
  98. train: WARNING ⚠️ /tables-dataset/train/images/train-17041.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.001 1.0021]
  99. train: WARNING ⚠️ /tables-dataset/train/images/train-17156.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0011]
  100. train: WARNING ⚠️ /tables-dataset/train/images/train-17161.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0002]
  101. train: WARNING ⚠️ /tables-dataset/train/images/train-17211.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0005]
  102. train: WARNING ⚠️ /tables-dataset/train/images/train-17384.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0003]
  103. train: WARNING ⚠️ /tables-dataset/train/images/train-1751.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0007]
  104. train: WARNING ⚠️ /tables-dataset/train/images/train-17736.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0007]
  105. train: WARNING ⚠️ /tables-dataset/train/images/train-1788.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0003]
  106. train: WARNING ⚠️ /tables-dataset/train/images/train-18116.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0005]
  107. train: WARNING ⚠️ /tables-dataset/train/images/train-18197.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0013]
  108. train: WARNING ⚠️ /tables-dataset/train/images/train-18256.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0007]
  109. train: WARNING ⚠️ /tables-dataset/train/images/train-18282.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0005]
  110. train: WARNING ⚠️ /tables-dataset/train/images/train-18453.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0001]
  111. train: WARNING ⚠️ /tables-dataset/train/images/train-18766.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0002]
  112. train: WARNING ⚠️ /tables-dataset/train/images/train-18858.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0003]
  113. train: WARNING ⚠️ /tables-dataset/train/images/train-19197.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0009]
  114. train: WARNING ⚠️ /tables-dataset/train/images/train-19203.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0014]
  115. train: WARNING ⚠️ /tables-dataset/train/images/train-1923.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0011]
  116. train: WARNING ⚠️ /tables-dataset/train/images/train-193.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0012]
  117. train: WARNING ⚠️ /tables-dataset/train/images/train-19344.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0004]
  118. train: WARNING ⚠️ /tables-dataset/train/images/train-19681.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0016]
  119. train: WARNING ⚠️ /tables-dataset/train/images/train-19775.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0009]
  120. train: WARNING ⚠️ /tables-dataset/train/images/train-19910.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0005]
  121. train: WARNING ⚠️ /tables-dataset/train/images/train-20101.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1]
  122. train: WARNING ⚠️ /tables-dataset/train/images/train-20118.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0011]
  123. train: WARNING ⚠️ /tables-dataset/train/images/train-20454.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0003 1.0003 1.0003]
  124. train: WARNING ⚠️ /tables-dataset/train/images/train-20676.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0005]
  125. train: WARNING ⚠️ /tables-dataset/train/images/train-20775.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0003]
  126. train: WARNING ⚠️ /tables-dataset/train/images/train-2107.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0005]
  127. train: WARNING ⚠️ /tables-dataset/train/images/train-21082.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0014]
  128. train: WARNING ⚠️ /tables-dataset/train/images/train-21087.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0011]
  129. train: WARNING ⚠️ /tables-dataset/train/images/train-21165.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1]
  130. train: WARNING ⚠️ /tables-dataset/train/images/train-21361.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0003]
  131. train: WARNING ⚠️ /tables-dataset/train/images/train-21429.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0003]
  132. train: WARNING ⚠️ /tables-dataset/train/images/train-21686.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0005]
  133. train: WARNING ⚠️ /tables-dataset/train/images/train-21766.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0006]
  134. train: WARNING ⚠️ /tables-dataset/train/images/train-21786.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0007]
  135. train: WARNING ⚠️ /tables-dataset/train/images/train-22294.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1]
  136. train: WARNING ⚠️ /tables-dataset/train/images/train-22399.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0011]
  137. train: WARNING ⚠️ /tables-dataset/train/images/train-22637.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.001]
  138. train: WARNING ⚠️ /tables-dataset/train/images/train-22720.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0005]
  139. train: WARNING ⚠️ /tables-dataset/train/images/train-22829.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0005]
  140. train: WARNING ⚠️ /tables-dataset/train/images/train-22838.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0013]
  141. train: WARNING ⚠️ /tables-dataset/train/images/train-22897.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0013 1.0011]
  142. train: WARNING ⚠️ /tables-dataset/train/images/train-2305.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0005 1.0004]
  143. train: WARNING ⚠️ /tables-dataset/train/images/train-2373.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0018]
  144. train: WARNING ⚠️ /tables-dataset/train/images/train-2537.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0003]
  145. train: WARNING ⚠️ /tables-dataset/train/images/train-2675.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0009]
  146. train: WARNING ⚠️ /tables-dataset/train/images/train-2741.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0003]
  147. train: WARNING ⚠️ /tables-dataset/train/images/train-2798.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.001]
  148. train: WARNING ⚠️ /tables-dataset/train/images/train-2831.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0007 1.0024]
  149. train: WARNING ⚠️ /tables-dataset/train/images/train-2918.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0012]
  150. train: WARNING ⚠️ /tables-dataset/train/images/train-2927.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0036]
  151. train: WARNING ⚠️ /tables-dataset/train/images/train-3027.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0006 1.0006]
  152. train: WARNING ⚠️ /tables-dataset/train/images/train-3305.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0005]
  153. train: WARNING ⚠️ /tables-dataset/train/images/train-3398.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0008]
  154. train: WARNING ⚠️ /tables-dataset/train/images/train-3466.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0005]
  155. train: WARNING ⚠️ /tables-dataset/train/images/train-3515.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0005]
  156. train: WARNING ⚠️ /tables-dataset/train/images/train-3595.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0005 1.0002]
  157. train: WARNING ⚠️ /tables-dataset/train/images/train-36150.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0006]
  158. train: WARNING ⚠️ /tables-dataset/train/images/train-3818.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0005]
  159. train: WARNING ⚠️ /tables-dataset/train/images/train-3976.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0001]
  160. train: WARNING ⚠️ /tables-dataset/train/images/train-401.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0008 1.0003]
  161. train: WARNING ⚠️ /tables-dataset/train/images/train-4022.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0005]
  162. train: WARNING ⚠️ /tables-dataset/train/images/train-41188.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0009]
  163. train: WARNING ⚠️ /tables-dataset/train/images/train-4198.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0007]
  164. train: WARNING ⚠️ /tables-dataset/train/images/train-431.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0004]
  165. train: WARNING ⚠️ /tables-dataset/train/images/train-4366.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0001]
  166. train: WARNING ⚠️ /tables-dataset/train/images/train-4431.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0004]
  167. train: WARNING ⚠️ /tables-dataset/train/images/train-4478.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0006]
  168. train: WARNING ⚠️ /tables-dataset/train/images/train-4485.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0003 1.0003]
  169. train: WARNING ⚠️ /tables-dataset/train/images/train-4503.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0004]
  170. train: WARNING ⚠️ /tables-dataset/train/images/train-4566.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0011]
  171. train: WARNING ⚠️ /tables-dataset/train/images/train-46.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0004]
  172. train: WARNING ⚠️ /tables-dataset/train/images/train-4611.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.003]
  173. train: WARNING ⚠️ /tables-dataset/train/images/train-4613.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0002]
  174. train: WARNING ⚠️ /tables-dataset/train/images/train-4624.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0008]
  175. train: WARNING ⚠️ /tables-dataset/train/images/train-47.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0005]
  176. train: WARNING ⚠️ /tables-dataset/train/images/train-4700.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0005]
  177. train: WARNING ⚠️ /tables-dataset/train/images/train-4709.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0007]
  178. train: WARNING ⚠️ /tables-dataset/train/images/train-4758.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0007]
  179. train: WARNING ⚠️ /tables-dataset/train/images/train-4798.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0001]
  180. train: WARNING ⚠️ /tables-dataset/train/images/train-4820.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0011]
  181. train: WARNING ⚠️ /tables-dataset/train/images/train-4902.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0013]
  182. train: WARNING ⚠️ /tables-dataset/train/images/train-5102.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0007]
  183. train: WARNING ⚠️ /tables-dataset/train/images/train-5128.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0001]
  184. train: WARNING ⚠️ /tables-dataset/train/images/train-5317.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0001]
  185. train: WARNING ⚠️ /tables-dataset/train/images/train-5333.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0002]
  186. train: WARNING ⚠️ /tables-dataset/train/images/train-5467.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0006]
  187. train: WARNING ⚠️ /tables-dataset/train/images/train-5485.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0003]
  188. train: WARNING ⚠️ /tables-dataset/train/images/train-5612.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1 1]
  189. train: WARNING ⚠️ /tables-dataset/train/images/train-5631.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0008]
  190. train: WARNING ⚠️ /tables-dataset/train/images/train-5711.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0009]
  191. train: WARNING ⚠️ /tables-dataset/train/images/train-5738.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0003 1.0003]
  192. train: WARNING ⚠️ /tables-dataset/train/images/train-5811.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0002]
  193. train: WARNING ⚠️ /tables-dataset/train/images/train-5827.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0001]
  194. train: WARNING ⚠️ /tables-dataset/train/images/train-5886.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0003]
  195. train: WARNING ⚠️ /tables-dataset/train/images/train-5975.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.001]
  196. train: WARNING ⚠️ /tables-dataset/train/images/train-6188.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0002]
  197. train: WARNING ⚠️ /tables-dataset/train/images/train-6289.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0002]
  198. train: WARNING ⚠️ /tables-dataset/train/images/train-634.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0002]
  199. train: WARNING ⚠️ /tables-dataset/train/images/train-63458.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0004]
  200. train: WARNING ⚠️ /tables-dataset/train/images/train-6436.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0012]
  201. train: WARNING ⚠️ /tables-dataset/train/images/train-6495.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.001]
  202. train: WARNING ⚠️ /tables-dataset/train/images/train-6543.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0005 1.0005]
  203. train: WARNING ⚠️ /tables-dataset/train/images/train-6629.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0006]
  204. train: WARNING ⚠️ /tables-dataset/train/images/train-6656.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0011]
  205. train: WARNING ⚠️ /tables-dataset/train/images/train-6714.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0005]
  206. train: WARNING ⚠️ /tables-dataset/train/images/train-6734.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0002]
  207. train: WARNING ⚠️ /tables-dataset/train/images/train-6839.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0002]
  208. train: WARNING ⚠️ /tables-dataset/train/images/train-6992.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0022]
  209. train: WARNING ⚠️ /tables-dataset/train/images/train-7035.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.001 1.0005]
  210. train: WARNING ⚠️ /tables-dataset/train/images/train-706.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0007]
  211. train: WARNING ⚠️ /tables-dataset/train/images/train-7166.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0009]
  212. train: WARNING ⚠️ /tables-dataset/train/images/train-7251.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0001]
  213. train: WARNING ⚠️ /tables-dataset/train/images/train-7254.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0005]
  214. train: WARNING ⚠️ /tables-dataset/train/images/train-7394.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0005]
  215. train: WARNING ⚠️ /tables-dataset/train/images/train-7501.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0002]
  216. train: WARNING ⚠️ /tables-dataset/train/images/train-7718.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1 1.0007]
  217. train: WARNING ⚠️ /tables-dataset/train/images/train-778.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0023]
  218. train: WARNING ⚠️ /tables-dataset/train/images/train-8019.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0003]
  219. train: WARNING ⚠️ /tables-dataset/train/images/train-8036.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0007]
  220. train: WARNING ⚠️ /tables-dataset/train/images/train-8047.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0024]
  221. train: WARNING ⚠️ /tables-dataset/train/images/train-8115.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0014]
  222. train: WARNING ⚠️ /tables-dataset/train/images/train-8133.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0003]
  223. train: WARNING ⚠️ /tables-dataset/train/images/train-8313.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0019]
  224. train: WARNING ⚠️ /tables-dataset/train/images/train-8396.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0005]
  225. train: WARNING ⚠️ /tables-dataset/train/images/train-8451.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0002]
  226. train: WARNING ⚠️ /tables-dataset/train/images/train-862.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0001]
  227. train: WARNING ⚠️ /tables-dataset/train/images/train-8705.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0002]
  228. train: WARNING ⚠️ /tables-dataset/train/images/train-8770.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0003]
  229. train: WARNING ⚠️ /tables-dataset/train/images/train-8832.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0005]
  230. train: WARNING ⚠️ /tables-dataset/train/images/train-8860.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0009]
  231. train: WARNING ⚠️ /tables-dataset/train/images/train-8910.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0011]
  232. train: WARNING ⚠️ /tables-dataset/train/images/train-9070.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0011 1.0011]
  233. train: WARNING ⚠️ /tables-dataset/train/images/train-917.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0003]
  234. train: WARNING ⚠️ /tables-dataset/train/images/train-9253.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0007]
  235. train: WARNING ⚠️ /tables-dataset/train/images/train-9279.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0002]
  236. train: WARNING ⚠️ /tables-dataset/train/images/train-9343.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.001]
  237. train: WARNING ⚠️ /tables-dataset/train/images/train-9429.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0003]
  238. train: WARNING ⚠️ /tables-dataset/train/images/train-9527.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0003]
  239. train: WARNING ⚠️ /tables-dataset/train/images/train-953.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0004]
  240. train: WARNING ⚠️ /tables-dataset/train/images/train-9630.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0001]
  241. train: WARNING ⚠️ /tables-dataset/train/images/train-9662.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0002]
  242. train: WARNING ⚠️ /tables-dataset/train/images/train-9755.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0001]
  243. train: WARNING ⚠️ /tables-dataset/train/images/train-9826.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0002]
  244. train: WARNING ⚠️ /tables-dataset/train/images/train-9851.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0005]
  245. train: WARNING ⚠️ /tables-dataset/train/images/train-9984.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0005]
  246. val: Scanning /tables-dataset/valid/labels.cache... 6489 images, 9 backgrounds,
  247. val: WARNING ⚠️ /tables-dataset/valid/images/validation-1082.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0002]
  248. val: WARNING ⚠️ /tables-dataset/valid/images/validation-1565.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0001 1.0001]
  249. val: WARNING ⚠️ /tables-dataset/valid/images/validation-1591.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0009]
  250. val: WARNING ⚠️ /tables-dataset/valid/images/validation-1648.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0001]
  251. val: WARNING ⚠️ /tables-dataset/valid/images/validation-1670.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0013]
  252. val: WARNING ⚠️ /tables-dataset/valid/images/validation-2.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0004]
  253. val: WARNING ⚠️ /tables-dataset/valid/images/validation-27.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0005]
  254. val: WARNING ⚠️ /tables-dataset/valid/images/validation-272.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0002]
  255. val: WARNING ⚠️ /tables-dataset/valid/images/validation-300.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0008]
  256. val: WARNING ⚠️ /tables-dataset/valid/images/validation-316.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0005 1.0003]
  257. val: WARNING ⚠️ /tables-dataset/valid/images/validation-326.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0006]
  258. val: WARNING ⚠️ /tables-dataset/valid/images/validation-475.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1 1.0003]
  259. val: WARNING ⚠️ /tables-dataset/valid/images/validation-676.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0002]
  260. val: WARNING ⚠️ /tables-dataset/valid/images/validation-756.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0014]
  261. Plotting labels to runs/detect/train26/labels.jpg...
  262. optimizer: SGD(lr=0.01, momentum=0.937) with parameter groups 97 weight(decay=0.0), 104 weight(decay=0.0004921875), 103 bias(decay=0.0)
  263. val: Scanning /tables-dataset/valid/labels.cache... 6489 images, 9 backgrounds,
  264. val: WARNING ⚠️ /tables-dataset/valid/images/validation-1082.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0002]
  265. val: WARNING ⚠️ /tables-dataset/valid/images/validation-1565.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0001 1.0001]
  266. val: WARNING ⚠️ /tables-dataset/valid/images/validation-1591.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0009]
  267. val: WARNING ⚠️ /tables-dataset/valid/images/validation-1648.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0001]
  268. val: WARNING ⚠️ /tables-dataset/valid/images/validation-1670.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0013]
  269. val: WARNING ⚠️ /tables-dataset/valid/images/validation-2.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0004]
  270. val: WARNING ⚠️ /tables-dataset/valid/images/validation-27.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0005]
  271. val: WARNING ⚠️ /tables-dataset/valid/images/validation-272.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0002]
  272. val: WARNING ⚠️ /tables-dataset/valid/images/validation-300.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0008]
  273. val: WARNING ⚠️ /tables-dataset/valid/images/validation-316.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0005 1.0003]
  274. val: WARNING ⚠️ /tables-dataset/valid/images/validation-326.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0006]
  275. val: WARNING ⚠️ /tables-dataset/valid/images/validation-475.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1 1.0003]
  276. val: WARNING ⚠️ /tables-dataset/valid/images/validation-676.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0002]
  277. val: WARNING ⚠️ /tables-dataset/valid/images/validation-756.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0014]
  278. /usr/local/lib/python3.8/dist-packages/sparseml/yolov8/trainers.py:320: UserWarning: Unable to import wandb for logging
  279. warnings.warn("Unable to import wandb for logging")
  280. Image sizes 640 train, 640 val
  281. Using 8 dataloader workers
  282. Logging results to runs/detect/train26
  283. Starting training for 100000 epochs...
  284.  
  285. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  286. 1/100000 46.3G 1.015 1.244 1.083 1066 640: 1
  287. Class Images Instances Box(P R mAP50 m
  288.  
  289. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  290. 2/100000 46.2G 0.7748 0.7611 0.9327 1386 640: 1
  291. Class Images Instances Box(P R mAP50 m
  292.  
  293. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  294. 3/100000 46.2G 0.7261 0.7217 0.9113 1241 640: 1
  295. Class Images Instances Box(P R mAP50 m
  296.  
  297. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  298. 4/100000 45.4G 0.6568 0.6682 0.8969 1395 640: 1
  299. Class Images Instances Box(P R mAP50 m
  300.  
  301. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  302. 5/100000 46.4G 0.5884 0.5963 0.882 1172 640: 1
  303. Class Images Instances Box(P R mAP50 m
  304.  
  305. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  306. 6/100000 46.5G 0.5496 0.5606 0.8742 1191 640: 1
  307. Class Images Instances Box(P R mAP50 m
  308.  
  309. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  310. 7/100000 46.2G 0.5249 0.5338 0.8676 1371 640: 1
  311. Class Images Instances Box(P R mAP50 m
  312.  
  313. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  314. 8/100000 47G 0.5071 0.5162 0.8652 1322 640: 1
  315. Class Images Instances Box(P R mAP50 m
  316.  
  317. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  318. 9/100000 46G 0.491 0.5029 0.8619 1080 640: 1
  319. Class Images Instances Box(P R mAP50 m
  320.  
  321. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  322. 10/100000 46.2G 0.4806 0.4899 0.8603 1386 640: 1
  323. Class Images Instances Box(P R mAP50 m
  324.  
  325. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  326. 11/100000 45.4G 0.4738 0.4835 0.8583 1280 640: 1
  327. Class Images Instances Box(P R mAP50 m
  328.  
  329. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  330. 12/100000 46.7G 0.4638 0.474 0.8567 1225 640: 1
  331. Class Images Instances Box(P R mAP50 m
  332.  
  333. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  334. 13/100000 47G 0.4586 0.4685 0.8553 1391 640: 1
  335. Class Images Instances Box(P R mAP50 m
  336.  
  337. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  338. 14/100000 46.9G 0.4524 0.4626 0.854 1068 640: 1
  339. Class Images Instances Box(P R mAP50 m
  340.  
  341. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  342. 15/100000 46.8G 0.4483 0.4564 0.8531 1341 640: 1
  343. Class Images Instances Box(P R mAP50 m
  344.  
  345. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  346. 16/100000 46.5G 0.4438 0.4524 0.8525 1069 640: 1
  347. Class Images Instances Box(P R mAP50 m
  348.  
  349. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  350. 17/100000 46G 0.4402 0.4501 0.8518 1128 640: 1
  351. Class Images Instances Box(P R mAP50 m
  352.  
  353. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  354. 18/100000 45.5G 0.4377 0.4454 0.8514 1308 640: 1
  355. Class Images Instances Box(P R mAP50 m
  356.  
  357. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  358. 19/100000 45.7G 0.4348 0.4458 0.8508 1309 640: 1
  359. Class Images Instances Box(P R mAP50 m
  360.  
  361. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  362. 20/100000 46.8G 0.431 0.4405 0.8502 1376 640: 1
  363. Class Images Instances Box(P R mAP50 m
  364.  
  365. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  366. 21/100000 44.8G 0.4282 0.4393 0.8494 1103 640: 1
  367. Class Images Instances Box(P R mAP50 m
  368.  
  369. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  370. 22/100000 45.9G 0.4273 0.436 0.849 1307 640: 1
  371. Class Images Instances Box(P R mAP50 m
  372.  
  373. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  374. 23/100000 46.2G 0.4241 0.4352 0.8482 1145 640: 1
  375. Class Images Instances Box(P R mAP50 m
  376.  
  377. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  378. 24/100000 47.5G 0.4219 0.4321 0.8476 1046 640: 1
  379. Class Images Instances Box(P R mAP50 m
  380.  
  381. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  382. 25/100000 46.8G 0.4204 0.4307 0.8484 1233 640: 1
  383. Class Images Instances Box(P R mAP50 m
  384.  
  385. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  386. 26/100000 44.7G 0.4173 0.4277 0.8473 1238 640: 1
  387. Class Images Instances Box(P R mAP50 m
  388.  
  389. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  390. 27/100000 47.9G 0.4149 0.4267 0.8472 1279 640: 1
  391. Class Images Instances Box(P R mAP50 m
  392.  
  393. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  394. 28/100000 47.8G 0.4137 0.4241 0.8472 1059 640: 1
  395. Class Images Instances Box(P R mAP50 m
  396.  
  397. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  398. 29/100000 46.5G 0.4131 0.4218 0.8478 1298 640: 1
  399. Class Images Instances Box(P R mAP50 m
  400.  
  401. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  402. 30/100000 46.8G 0.4128 0.4243 0.847 1117 640: 1
  403. Class Images Instances Box(P R mAP50 m
  404.  
  405. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  406. 31/100000 47.1G 0.4126 0.4245 0.8464 1209 640: 1
  407. Class Images Instances Box(P R mAP50 m
  408.  
  409. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  410. 32/100000 46.2G 0.4083 0.4212 0.8459 1299 640: 1
  411. Class Images Instances Box(P R mAP50 m
  412.  
  413. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  414. 33/100000 46.3G 0.4079 0.4184 0.8458 1164 640: 1
  415. Class Images Instances Box(P R mAP50 m
  416.  
  417. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  418. 34/100000 45.5G 0.4057 0.4154 0.8451 1239 640: 1
  419. Class Images Instances Box(P R mAP50 m
  420.  
  421. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  422. 35/100000 45.5G 0.4056 0.4176 0.8453 1167 640: 1
  423. Class Images Instances Box(P R mAP50 m
  424.  
  425. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  426. 36/100000 47.3G 0.4048 0.4159 0.8455 1225 640: 1
  427. Class Images Instances Box(P R mAP50 m
  428.  
  429. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  430. 37/100000 46.4G 0.4034 0.4133 0.8455 1318 640: 1
  431. Class Images Instances Box(P R mAP50 m
  432.  
  433. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  434. 38/100000 46.5G 0.4024 0.4145 0.8452 1109 640: 1
  435. Class Images Instances Box(P R mAP50 m
  436.  
  437. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  438. 39/100000 46.9G 0.4022 0.4135 0.8455 1107 640: 1
  439. Class Images Instances Box(P R mAP50 m
  440.  
  441. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  442. 40/100000 47G 0.4011 0.4111 0.8444 1265 640: 1
  443. Class Images Instances Box(P R mAP50 m
  444.  
  445. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  446. 41/100000 46.5G 0.4001 0.4129 0.8441 1184 640: 1
  447. Class Images Instances Box(P R mAP50 m
  448.  
  449. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  450. 42/100000 47.1G 0.3997 0.4127 0.8447 1344 640: 1
  451. Class Images Instances Box(P R mAP50 m
  452.  
  453. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  454. 43/100000 48.8G 0.4 0.4104 0.8442 1157 640: 1
  455. Class Images Instances Box(P R mAP50 m
  456.  
  457. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  458. 44/100000 46G 0.3976 0.4093 0.8438 1163 640: 1
  459. Class Images Instances Box(P R mAP50 m
  460.  
  461. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  462. 45/100000 48G 0.3982 0.4099 0.8443 1180 640: 1
  463. Class Images Instances Box(P R mAP50 m
  464.  
  465. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  466. 46/100000 46G inf 0.4082 0.8436 1111 640: 1
  467. Class Images Instances Box(P R mAP50 m
  468.  
  469. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  470. 47/100000 45.5G 0.3955 0.4056 0.8437 1264 640: 1
  471. Class Images Instances Box(P R mAP50 m
  472.  
  473. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  474. 48/100000 46.7G 0.3958 0.4085 0.8435 1239 640: 1
  475. Class Images Instances Box(P R mAP50 m
  476.  
  477. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  478. 49/100000 46.2G 0.3951 0.407 0.8439 1289 640: 1
  479. Class Images Instances Box(P R mAP50 m
  480.  
  481. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  482. 50/100000 45.9G 0.3947 0.4066 0.8433 1212 640: 1
  483. Class Images Instances Box(P R mAP50 m
  484.  
  485. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  486. 51/100000 45.8G 0.3951 0.4073 0.8438 1315 640: 1
  487. Class Images Instances Box(P R mAP50 m
  488.  
  489. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  490. 52/100000 46.2G 0.3932 0.4058 0.8435 1249 640: 1
  491. Class Images Instances Box(P R mAP50 m
  492.  
  493. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  494. 53/100000 46.1G 0.3918 0.4036 0.844 1086 640: 1
  495. Class Images Instances Box(P R mAP50 m
  496.  
  497. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  498. 54/100000 46.9G 0.3919 0.4038 0.843 1196 640: 1
  499. Class Images Instances Box(P R mAP50 m
  500.  
  501. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  502. 55/100000 45.5G 0.3912 0.4004 0.8437 1336 640:
  503. IOPub message rate exceeded.
  504. The Jupyter server will temporarily stop sending output
  505. to the client in order to avoid crashing it.
  506. To change this limit, set the config variable
  507. `--ServerApp.iopub_msg_rate_limit`.
  508.  
  509. Current values:
  510. ServerApp.iopub_msg_rate_limit=1000.0 (msgs/sec)
  511. ServerApp.rate_limit_window=3.0 (secs)
  512.  
  513. 56/100000 45.9G 0.3907 0.4031 0.8435 1183 640: 1
  514. Class Images Instances Box(P R mAP50 m
  515.  
  516. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  517. 57/100000 45.2G 0.3906 0.4039 0.8434 1195 640: 1
  518. Class Images Instances Box(P R mAP50 m
  519.  
  520. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  521. 58/100000 46.9G 0.3916 0.4024 0.8434 1381 640: 1
  522. Class Images Instances Box(P R mAP50 m
  523.  
  524. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  525. 59/100000 45G 0.3885 0.4012 0.8426 1130 640: 1
  526. 60/100000 45.8G 0.389 0.4034 0.8428 1233 640: 1
  527. Class Images Instances Box(P R mAP50 m
  528.  
  529. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  530. 61/100000 45.7G 0.3888 0.4005 0.8424 1208 640: 1
  531. Class Images Instances Box(P R mAP50 m
  532. IOPub message rate exceeded.
  533. The Jupyter server will temporarily stop sending output
  534. to the client in order to avoid crashing it.
  535. To change this limit, set the config variable
  536. `--ServerApp.iopub_msg_rate_limit`.
  537.  
  538. Current values:
  539. ServerApp.iopub_msg_rate_limit=1000.0 (msgs/sec)
  540. ServerApp.rate_limit_window=3.0 (secs)
  541.  
  542. 62/100000 46.5G 0.3896 0.4014 0.8432 1121 640: 1
  543. Class Images Instances Box(P R mAP50 m
  544.  
  545. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  546. 63/100000 45.8G 0.3896 0.4024 0.8438 1206 640: 1
  547. Class Images Instances Box(P R mAP50 m
  548.  
  549. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  550. 64/100000 46.2G 0.3884 0.4011 0.8428 1294 640: 1
  551. Class Images Instances Box(P R mAP50 m
  552.  
  553. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  554. 65/100000 46.1G 0.3885 0.4008 0.8426 1469 640: 1
  555. Class Images Instances Box(P R mAP50 m
  556.  
  557. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  558. 66/100000 45.7G 0.3876 0.3998 0.8424 1242 640: 1
  559. Class Images Instances Box(P R mAP50 m
  560.  
  561. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  562. 67/100000 47.7G 0.3869 0.4001 0.8427 1316 640: 1
  563. Class Images Instances Box(P R mAP50 m
  564.  
  565. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  566. 68/100000 46.4G 0.388 0.3963 0.8423 1534 640:
  567. IOPub message rate exceeded.
  568. The Jupyter server will temporarily stop sending output
  569. to the client in order to avoid crashing it.
  570. To change this limit, set the config variable
  571. `--ServerApp.iopub_msg_rate_limit`.
  572.  
  573. Current values:
  574. ServerApp.iopub_msg_rate_limit=1000.0 (msgs/sec)
  575. ServerApp.rate_limit_window=3.0 (secs)
  576.  
  577. 71/100000 47.2G 0.3854 0.3977 0.8418 1133 640: 1
  578. Class Images Instances Box(P R mAP50 m
  579.  
  580. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  581. 72/100000 46.6G 0.3851 0.3982 0.8424 1079 640: 1
  582. Class Images Instances Box(P R mAP50 m
  583.  
  584. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  585. 73/100000 46.3G 0.3846 0.3965 0.8425 1163 640: 1
  586. Class Images Instances Box(P R mAP50 m
  587.  
  588. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  589. 74/100000 47.2G 0.3845 0.3971 0.8413 1156 640: 1
  590. Class Images Instances Box(P R mAP50 m
  591.  
  592. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  593. 75/100000 46.6G 0.3833 0.3953 0.8423 1220 640: 1
  594. Class Images Instances Box(P R mAP50 m
  595.  
  596. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  597. 76/100000 47.6G 0.3842 0.3976 0.8426 1016 640: 1
  598. Class Images Instances Box(P R mAP50 m
  599.  
  600. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  601. 77/100000 46.7G 0.3824 0.395 0.8419 1315 640: 1
  602. Class Images Instances Box(P R mAP50 m
  603.  
  604. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  605. 78/100000 45.1G 0.3847 0.3963 0.8422 1142 640: 1
  606. Class Images Instances Box(P R mAP50 m
  607.  
  608. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  609. 79/100000 46.3G 0.3825 0.3952 0.8415 1195 640: 1
  610. Class Images Instances Box(P R mAP50 m
  611.  
  612. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  613. 80/100000 45.8G 0.3818 0.394 0.8418 1328 640: 1
  614. Class Images Instances Box(P R mAP50 m
  615.  
  616. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  617. 81/100000 45.5G 0.3818 0.394 0.842 1200 640: 1
  618. Class Images Instances Box(P R mAP50 m
  619.  
  620. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  621. 82/100000 45.8G 0.3818 0.3928 0.8415 1377 640:
  622. IOPub message rate exceeded.
  623. The Jupyter server will temporarily stop sending output
  624. to the client in order to avoid crashing it.
  625. To change this limit, set the config variable
  626. `--ServerApp.iopub_msg_rate_limit`.
  627.  
  628. Current values:
  629. ServerApp.iopub_msg_rate_limit=1000.0 (msgs/sec)
  630. ServerApp.rate_limit_window=3.0 (secs)
  631.  
  632. 84/100000 46.1G 0.3812 0.3927 0.8415 1105 640: 1
  633. Class Images Instances Box(P R mAP50 m
  634.  
  635. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  636. 85/100000 46.4G 0.3823 0.3942 0.8421 1150 640: 1
  637. Class Images Instances Box(P R mAP50 m
  638.  
  639. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  640. 86/100000 46.5G 0.3819 0.3937 0.8421 1231 640: 1
  641. Class Images Instances Box(P R mAP50 m
  642.  
  643. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  644. 87/100000 45.2G 0.3815 0.3936 0.8421 1322 640: 1
  645. Class Images Instances Box(P R mAP50 m
  646.  
  647. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  648. 88/100000 46.4G 0.3802 0.3923 0.8415 1218 640: 1
  649. Class Images Instances Box(P R mAP50 m
  650.  
  651. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  652. 89/100000 47G 0.381 0.3934 0.8417 1206 640: 1
  653. Class Images Instances Box(P R mAP50 m
  654.  
  655. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  656. 90/100000 45.3G 0.3798 0.3859 0.842 1389 640:
  657. IOPub message rate exceeded.
  658. The Jupyter server will temporarily stop sending output
  659. to the client in order to avoid crashing it.
  660. To change this limit, set the config variable
  661. `--ServerApp.iopub_msg_rate_limit`.
  662.  
  663. Current values:
  664. ServerApp.iopub_msg_rate_limit=1000.0 (msgs/sec)
  665. ServerApp.rate_limit_window=3.0 (secs)
  666.  
  667. 92/100000 46.1G 0.3804 0.3925 0.8414 1223 640: 1
  668. Class Images Instances Box(P R mAP50 m
  669.  
  670. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  671. 93/100000 46.5G 0.3781 0.3903 0.8413 1151 640: 1
  672. Class Images Instances Box(P R mAP50 m
  673.  
  674. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  675. 94/100000 47.9G inf 0.3911 0.8412 1302 640: 1
  676. Class Images Instances Box(P R mAP50 m
  677.  
  678. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  679. 95/100000 46.6G 0.3794 0.3924 0.8416 1296 640: 1
  680. Class Images Instances Box(P R mAP50 m
  681.  
  682. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  683. 96/100000 46.4G 0.3787 0.3902 0.8413 1128 640: 1
  684. Class Images Instances Box(P R mAP50 m
  685.  
  686. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  687. 97/100000 44.9G 0.3759 0.3876 0.8402 1479 640:
  688. IOPub message rate exceeded.
  689. The Jupyter server will temporarily stop sending output
  690. to the client in order to avoid crashing it.
  691. To change this limit, set the config variable
  692. `--ServerApp.iopub_msg_rate_limit`.
  693.  
  694. Current values:
  695. ServerApp.iopub_msg_rate_limit=1000.0 (msgs/sec)
  696. ServerApp.rate_limit_window=3.0 (secs)
  697.  
  698. 99/100000 46.5G 0.3776 0.3914 0.8413 1017 640: 1
  699. Class Images Instances Box(P R mAP50 m
  700.  
  701. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  702. 100/100000 45.9G 0.3787 0.3896 0.8411 1268 640: 1
  703. Class Images Instances Box(P R mAP50 m
  704.  
  705. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  706. 101/100000 46.8G 0.3773 0.3901 0.8412 1124 640: 1
  707. Class Images Instances Box(P R mAP50 m
  708.  
  709. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  710. 102/100000 45.2G 0.3782 0.3904 0.8413 1199 640: 1
  711. Class Images Instances Box(P R mAP50 m
  712.  
  713. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  714. 103/100000 47.6G 0.3775 0.391 0.8412 1127 640: 1
  715. Class Images Instances Box(P R mAP50 m
  716.  
  717. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  718. 104/100000 46.1G 0.3774 0.3916 0.8415 1214 640: 1
  719. Class Images Instances Box(P R mAP50 m
  720.  
  721. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  722. 105/100000 46.1G 0.3762 0.3884 0.8413 1237 640: 1
  723. Class Images Instances Box(P R mAP50 m
  724.  
  725. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  726. 107/100000 46.4G 0.3761 0.3879 0.8407 1120 640: 1
  727. Class Images Instances Box(P R mAP50 m
  728.  
  729. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  730. 108/100000 45.9G 0.3765 0.3878 0.8411 1122 640: 1
  731. Class Images Instances Box(P R mAP50 m
  732. IOPub message rate exceeded.
  733. The Jupyter server will temporarily stop sending output
  734. to the client in order to avoid crashing it.
  735. To change this limit, set the config variable
  736. `--ServerApp.iopub_msg_rate_limit`.
  737.  
  738. Current values:
  739. ServerApp.iopub_msg_rate_limit=1000.0 (msgs/sec)
  740. ServerApp.rate_limit_window=3.0 (secs)
  741.  
  742. 109/100000 45.1G 0.3766 0.389 0.8411 1045 640: 1
  743. Class Images Instances Box(P R mAP50 m
  744.  
  745. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  746. 110/100000 46.5G 0.3764 0.3887 0.8398 1260 640: 1
  747. Class Images Instances Box(P R mAP50 m
  748.  
  749. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  750. 111/100000 46G 0.3776 0.3887 0.8403 1168 640: 1
  751. Class Images Instances Box(P R mAP50 m
  752.  
  753. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  754. 112/100000 47.6G 0.3758 0.388 0.8411 1383 640: 1
  755. Class Images Instances Box(P R mAP50 m
  756.  
  757. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  758. 113/100000 47.2G 0.376 0.3901 0.8409 1319 640: 1
  759. Class Images Instances Box(P R mAP50 m
  760.  
  761. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  762. 114/100000 46.5G 0.3756 0.3875 0.8408 1154 640: 1
  763. Class Images Instances Box(P R mAP50 m
  764.  
  765. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  766. 115/100000 46.2G 0.3749 0.3884 0.8403 1302 640:
  767. IOPub message rate exceeded.
  768. The Jupyter server will temporarily stop sending output
  769. to the client in order to avoid crashing it.
  770. To change this limit, set the config variable
  771. `--ServerApp.iopub_msg_rate_limit`.
  772.  
  773. Current values:
  774. ServerApp.iopub_msg_rate_limit=1000.0 (msgs/sec)
  775. ServerApp.rate_limit_window=3.0 (secs)
  776.  
  777. 118/100000 44.7G 0.3741 0.3881 0.8404 1112 640: 1
  778. Class Images Instances Box(P R mAP50 m
  779.  
  780. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  781. 119/100000 46.5G 0.375 0.3876 0.8407 1057 640: 1
  782. Class Images Instances Box(P R mAP50 m
  783.  
  784. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  785. 120/100000 47.5G 0.3744 0.3865 0.8401 1144 640: 1
  786. Class Images Instances Box(P R mAP50 m
  787.  
  788. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  789. 121/100000 47.3G 0.3755 0.387 0.8393 1200 640: 1
  790. Class Images Instances Box(P R mAP50 m
  791.  
  792. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  793. 122/100000 45.9G 0.3741 0.3875 0.8397 1312 640: 1
  794. Class Images Instances Box(P R mAP50 m
  795.  
  796. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  797. 123/100000 45.3G 0.3757 0.3873 0.8403 1020 640: 1
  798. Class Images Instances Box(P R mAP50 m
  799.  
  800. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  801. 124/100000 46G 0.3743 0.3868 0.8403 1214 640: 1
  802. Class Images Instances Box(P R mAP50 m
  803.  
  804. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  805. 125/100000 46.6G 0.3749 0.3875 0.8409 1044 640: 1
  806. Class Images Instances Box(P R mAP50 m
  807.  
  808. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  809. 126/100000 46G 0.3729 0.3856 0.8401 1112 640: 1
  810. Class Images Instances Box(P R mAP50 m
  811.  
  812. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  813. 127/100000 46.7G 0.374 0.387 0.8402 1249 640: 1
  814. Class Images Instances Box(P R mAP50 m
  815.  
  816. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  817. 128/100000 45.7G 0.3734 0.3857 0.8402 1142 640: 1
  818. Class Images Instances Box(P R mAP50 m
  819.  
  820. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  821. 129/100000 46.7G 0.3735 0.3848 0.8402 1481 640: 1
  822. Class Images Instances Box(P R mAP50 m
  823.  
  824. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  825. 130/100000 45.9G 0.3748 0.3872 0.8404 1265 640: 1
  826. Class Images Instances Box(P R mAP50 m
  827.  
  828. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  829. 131/100000 46.6G 0.3728 0.3859 0.8397 1074 640: 1
  830. Class Images Instances Box(P R mAP50 m
  831.  
  832. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  833. 132/100000 47G 0.3741 0.388 0.8397 1183 640: 1
  834. Class Images Instances Box(P R mAP50 m
  835.  
  836. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  837. 133/100000 46.1G 0.372 0.3839 0.8395 1122 640: 1
  838. Class Images Instances Box(P R mAP50 m
  839.  
  840. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  841. 134/100000 45.3G 0.372 0.3831 0.8402 1087 640: 1
  842. Class Images Instances Box(P R mAP50 m
  843.  
  844. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  845. 135/100000 46.2G 0.3725 0.3842 0.84 1150 640: 1
  846. Class Images Instances Box(P R mAP50 m
  847.  
  848. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  849. 136/100000 46.6G 0.3736 0.3855 0.8403 1277 640: 1
  850. Class Images Instances Box(P R mAP50 m
  851.  
  852. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  853. 137/100000 47.3G 0.3727 0.3842 0.8399 1152 640: 1
  854. Class Images Instances Box(P R mAP50 m
  855.  
  856. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  857. 138/100000 45.9G 0.373 0.3851 0.8396 1097 640: 1
  858. Class Images Instances Box(P R mAP50 m
  859.  
  860. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  861. 139/100000 46.9G 0.3723 0.3854 0.8392 1223 640: 1
  862. Class Images Instances Box(P R mAP50 m
  863.  
  864. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  865. 140/100000 45.1G 0.3714 0.3887 0.8419 1486 640:
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