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Apr 11th, 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-n/pytorch/ultralytics/coco/base-none, data=/pubtables-dataset/data.yaml, epochs=100, patience=20, 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/train30
  4. Overriding model.yaml nc=80 with nc=1
  5.  
  6. from n params module arguments
  7. 0 -1 1 464 ultralytics.nn.modules.conv.Conv [3, 16, 3, 2]
  8. 1 -1 1 4672 ultralytics.nn.modules.conv.Conv [16, 32, 3, 2]
  9. 2 -1 1 7360 ultralytics.nn.modules.block.C2f [32, 32, 1, True]
  10. 3 -1 1 18560 ultralytics.nn.modules.conv.Conv [32, 64, 3, 2]
  11. 4 -1 2 49664 ultralytics.nn.modules.block.C2f [64, 64, 2, True]
  12. 5 -1 1 73984 ultralytics.nn.modules.conv.Conv [64, 128, 3, 2]
  13. 6 -1 2 197632 ultralytics.nn.modules.block.C2f [128, 128, 2, True]
  14. 7 -1 1 295424 ultralytics.nn.modules.conv.Conv [128, 256, 3, 2]
  15. 8 -1 1 460288 ultralytics.nn.modules.block.C2f [256, 256, 1, True]
  16. 9 -1 1 164608 ultralytics.nn.modules.block.SPPF [256, 256, 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 1 148224 ultralytics.nn.modules.block.C2f [384, 128, 1]
  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 1 37248 ultralytics.nn.modules.block.C2f [192, 64, 1]
  23. 16 -1 1 36992 ultralytics.nn.modules.conv.Conv [64, 64, 3, 2]
  24. 17 [-1, 12] 1 0 ultralytics.nn.modules.conv.Concat [1]
  25. 18 -1 1 123648 ultralytics.nn.modules.block.C2f [192, 128, 1]
  26. 19 -1 1 147712 ultralytics.nn.modules.conv.Conv [128, 128, 3, 2]
  27. 20 [-1, 9] 1 0 ultralytics.nn.modules.conv.Concat [1]
  28. 21 -1 1 493056 ultralytics.nn.modules.block.C2f [384, 256, 1]
  29. 22 [15, 18, 21] 1 751507 ultralytics.nn.modules.head.Detect [1, [64, 128, 256]]
  30. Model summary: 225 layers, 3011043 parameters, 3011027 gradients
  31.  
  32. Transferred 319/355 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 /pubtables-dataset/train/labels.cache... 460589 images, 0 backgr
  37. train: WARNING ⚠️ /pubtables-dataset/train/images/PMC1618389_6.jpg: 1 duplicate labels removed
  38. train: WARNING ⚠️ /pubtables-dataset/train/images/PMC2649131_2.jpg: 1 duplicate labels removed
  39. train: WARNING ⚠️ /pubtables-dataset/train/images/PMC2829587_2.jpg: 1 duplicate labels removed
  40. train: WARNING ⚠️ /pubtables-dataset/train/images/PMC2864280_7.jpg: 1 duplicate labels removed
  41. train: WARNING ⚠️ /pubtables-dataset/train/images/PMC3039573_2.jpg: 1 duplicate labels removed
  42. train: WARNING ⚠️ /pubtables-dataset/train/images/PMC3141432_6.jpg: 1 duplicate labels removed
  43. train: WARNING ⚠️ /pubtables-dataset/train/images/PMC3201032_5.jpg: 1 duplicate labels removed
  44. train: WARNING ⚠️ /pubtables-dataset/train/images/PMC3646877_4.jpg: 1 duplicate labels removed
  45. train: WARNING ⚠️ /pubtables-dataset/train/images/PMC4344239_6.jpg: 1 duplicate labels removed
  46. train: WARNING ⚠️ /pubtables-dataset/train/images/PMC4373176_12.jpg: 1 duplicate labels removed
  47. train: WARNING ⚠️ /pubtables-dataset/train/images/PMC4472690_15.jpg: 1 duplicate labels removed
  48. train: WARNING ⚠️ /pubtables-dataset/train/images/PMC4509128_2.jpg: 1 duplicate labels removed
  49. train: WARNING ⚠️ /pubtables-dataset/train/images/PMC4629279_16.jpg: 1 duplicate labels removed
  50. train: WARNING ⚠️ /pubtables-dataset/train/images/PMC4662825_7.jpg: 1 duplicate labels removed
  51. train: WARNING ⚠️ /pubtables-dataset/train/images/PMC4713433_10.jpg: 1 duplicate labels removed
  52. train: WARNING ⚠️ /pubtables-dataset/train/images/PMC4724129_9.jpg: 4 duplicate labels removed
  53. train: WARNING ⚠️ /pubtables-dataset/train/images/PMC4802914_4.jpg: 1 duplicate labels removed
  54. train: WARNING ⚠️ /pubtables-dataset/train/images/PMC4835428_15.jpg: 1 duplicate labels removed
  55. train: WARNING ⚠️ /pubtables-dataset/train/images/PMC4872914_2.jpg: 1 duplicate labels removed
  56. train: WARNING ⚠️ /pubtables-dataset/train/images/PMC5045201_11.jpg: 1 duplicate labels removed
  57. train: WARNING ⚠️ /pubtables-dataset/train/images/PMC5071777_4.jpg: 1 duplicate labels removed
  58. train: WARNING ⚠️ /pubtables-dataset/train/images/PMC5072565_7.jpg: 1 duplicate labels removed
  59. train: WARNING ⚠️ /pubtables-dataset/train/images/PMC5160015_13.jpg: 1 duplicate labels removed
  60. train: WARNING ⚠️ /pubtables-dataset/train/images/PMC5685774_3.jpg: 1 duplicate labels removed
  61. train: WARNING ⚠️ /pubtables-dataset/train/images/PMC5722116_2.jpg: 1 duplicate labels removed
  62. train: WARNING ⚠️ /pubtables-dataset/train/images/PMC5765122_10.jpg: 1 duplicate labels removed
  63. train: WARNING ⚠️ /pubtables-dataset/train/images/PMC5774682_20.jpg: 1 duplicate labels removed
  64. train: WARNING ⚠️ /pubtables-dataset/train/images/PMC5774682_7.jpg: 1 duplicate labels removed
  65. train: WARNING ⚠️ /pubtables-dataset/train/images/PMC5821375_10.jpg: 1 duplicate labels removed
  66. train: WARNING ⚠️ /pubtables-dataset/train/images/PMC5843206_3.jpg: 7 duplicate labels removed
  67. train: WARNING ⚠️ /pubtables-dataset/train/images/PMC5847335_25.jpg: 1 duplicate labels removed
  68. train: WARNING ⚠️ /pubtables-dataset/train/images/PMC5854617_7.jpg: 1 duplicate labels removed
  69. train: WARNING ⚠️ /pubtables-dataset/train/images/PMC6002790_2.jpg: 1 duplicate labels removed
  70. train: WARNING ⚠️ /pubtables-dataset/train/images/PMC6016034_18.jpg: 1 duplicate labels removed
  71. train: WARNING ⚠️ /pubtables-dataset/train/images/PMC6057663_6.jpg: 1 duplicate labels removed
  72. train: WARNING ⚠️ /pubtables-dataset/train/images/PMC6203976_11.jpg: 1 duplicate labels removed
  73. train: WARNING ⚠️ /pubtables-dataset/train/images/PMC6266563_10.jpg: 1 duplicate labels removed
  74. train: WARNING ⚠️ /pubtables-dataset/train/images/PMC6267304_10.jpg: 1 duplicate labels removed
  75. train: WARNING ⚠️ /pubtables-dataset/train/images/PMC6269725_4.jpg: 1 duplicate labels removed
  76. train: WARNING ⚠️ /pubtables-dataset/train/images/PMC6270240_3.jpg: 1 duplicate labels removed
  77. train: WARNING ⚠️ /pubtables-dataset/train/images/PMC6283570_39.jpg: 1 duplicate labels removed
  78. train: WARNING ⚠️ /pubtables-dataset/train/images/PMC6334325_4.jpg: 1 duplicate labels removed
  79. train: WARNING ⚠️ /pubtables-dataset/train/images/PMC6345844_9.jpg: 2 duplicate labels removed
  80. train: WARNING ⚠️ /pubtables-dataset/train/images/PMC6435239_5.jpg: 1 duplicate labels removed
  81. train: WARNING ⚠️ /pubtables-dataset/train/images/PMC6477107_1.jpg: 1 duplicate labels removed
  82. train: WARNING ⚠️ /pubtables-dataset/train/images/PMC6498461_2.jpg: 1 duplicate labels removed
  83. train: WARNING ⚠️ /pubtables-dataset/train/images/PMC6513552_10.jpg: 1 duplicate labels removed
  84. val: Scanning /pubtables-dataset/valid/labels.cache... 57591 images, 0 backgroun
  85. val: WARNING ⚠️ /pubtables-dataset/valid/images/PMC4476684_11.jpg: 1 duplicate labels removed
  86. val: WARNING ⚠️ /pubtables-dataset/valid/images/PMC4961715_9.jpg: 1 duplicate labels removed
  87. Plotting labels to runs/detect/train30/labels.jpg...
  88. optimizer: SGD(lr=0.01, momentum=0.937) with parameter groups 57 weight(decay=0.0), 64 weight(decay=0.0004921875), 63 bias(decay=0.0)
  89. val: Scanning /pubtables-dataset/valid/labels.cache... 57591 images, 0 backgroun
  90. val: WARNING ⚠️ /pubtables-dataset/valid/images/PMC4476684_11.jpg: 1 duplicate labels removed
  91. val: WARNING ⚠️ /pubtables-dataset/valid/images/PMC4961715_9.jpg: 1 duplicate labels removed
  92. /usr/local/lib/python3.8/dist-packages/sparseml/yolov8/trainers.py:320: UserWarning: Unable to import wandb for logging
  93. warnings.warn("Unable to import wandb for logging")
  94. Image sizes 640 train, 640 val
  95. Using 8 dataloader workers
  96. Logging results to runs/detect/train30
  97. Starting training for 100 epochs...
  98.  
  99. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  100. 1/100 8.13G 0.3567 0.4432 0.888 135 640:
  101. IOPub message rate exceeded.
  102. The Jupyter server will temporarily stop sending output
  103. to the client in order to avoid crashing it.
  104. To change this limit, set the config variable
  105. `--ServerApp.iopub_msg_rate_limit`.
  106.  
  107. Current values:
  108. ServerApp.iopub_msg_rate_limit=1000.0 (msgs/sec)
  109. ServerApp.rate_limit_window=3.0 (secs)
  110.  
  111. 2/100 8.17G 0.2846 0.2713 0.8686 132 640: 1
  112. Class Images Instances Box(P R mAP50 m
  113. IOPub message rate exceeded.
  114. The Jupyter server will temporarily stop sending output
  115. to the client in order to avoid crashing it.
  116. To change this limit, set the config variable
  117. `--ServerApp.iopub_msg_rate_limit`.
  118.  
  119. Current values:
  120. ServerApp.iopub_msg_rate_limit=1000.0 (msgs/sec)
  121. ServerApp.rate_limit_window=3.0 (secs)
  122.  
  123. 4/100 8.23G 0.2458 0.2315 0.8589 139 640: 1
  124. Class Images Instances Box(P R mAP50 m
  125.  
  126. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  127. 5/100 8.21G 0.2272 0.2147 0.8534 115 640: 1
  128. Class Images Instances Box(P R mAP50 m
  129.  
  130. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  131. 6/100 8.17G 0.22 0.2087 0.8508 128 640: 1
  132. Class Images Instances Box(P R mAP50 m
  133.  
  134. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  135. 7/100 8.17G 0.2152 0.2041 0.8498 150 640: 1
  136. Class Images Instances Box(P R mAP50 m
  137.  
  138. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  139. 8/100 8.23G 0.2128 0.203 0.8494 146 640: 1
  140. Class Images Instances Box(P R mAP50 m
  141.  
  142. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  143. 9/100 8.23G 0.2107 0.201 0.8488 106 640: 1
  144. Class Images Instances Box(P R mAP50 m
  145.  
  146. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  147. 10/100 8.17G 0.2089 0.1988 0.8488 125 640: 1
  148. Class Images Instances Box(P R mAP50 m
  149.  
  150. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  151. 11/100 8.17G 0.2068 0.1981 0.8477 122 640: 1
  152. Class Images Instances Box(P R mAP50 m
  153.  
  154. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  155. 12/100 8.17G 0.2055 0.1962 0.8472 146 640: 1
  156. Class Images Instances Box(P R mAP50 m
  157.  
  158. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  159. 13/100 8.17G 0.2045 0.1958 0.8471 141 640: 1
  160. Class Images Instances Box(P R mAP50 m
  161.  
  162. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  163. 14/100 8.17G 0.2029 0.1942 0.8468 143 640: 1
  164. Class Images Instances Box(P R mAP50 m
  165.  
  166. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  167. 15/100 8.17G inf 0.1929 0.8459 140 640: 1
  168. Class Images Instances Box(P R mAP50 m
  169.  
  170. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  171. 16/100 8.24G 0.2003 0.1917 0.8461 133 640: 1
  172. Class Images Instances Box(P R mAP50 m
  173.  
  174. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  175. 17/100 8.23G 0.1996 0.1917 0.8452 141 640: 1
  176. Class Images Instances Box(P R mAP50 m
  177.  
  178. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  179. 18/100 8.23G 0.1984 0.1909 0.8449 143 640: 1
  180. Class Images Instances Box(P R mAP50 m
  181.  
  182. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  183. 19/100 8.17G 0.1975 0.1899 0.8454 134 640: 1
  184. Class Images Instances Box(P R mAP50 m
  185.  
  186. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  187. 20/100 8.17G 0.1958 0.1883 0.8444 131 640: 1
  188. Class Images Instances Box(P R mAP50 m
  189.  
  190. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  191. 21/100 8.23G 0.1953 0.1872 0.8444 138 640: 1
  192. Class Images Instances Box(P R mAP50 m
  193.  
  194. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  195. 22/100 8.17G 0.1939 0.1864 0.8437 134 640: 1
  196. Class Images Instances Box(P R mAP50 m
  197.  
  198. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  199. 23/100 8.24G 0.1934 0.1858 0.8438 146 640: 1
  200. Class Images Instances Box(P R mAP50 m
  201.  
  202. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  203. 24/100 8.23G 0.1909 0.1829 0.8428 136 640: 1
  204. Class Images Instances Box(P R mAP50 m
  205.  
  206. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  207. 25/100 8.17G 0.1898 0.1813 0.8421 142 640: 1
  208. Class Images Instances Box(P R mAP50 m
  209.  
  210. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  211. 26/100 8.24G 0.1893 0.1808 0.8425 137 640: 1
  212. Class Images Instances Box(P R mAP50 m
  213.  
  214. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  215. 27/100 8.23G 0.1885 0.1804 0.8423 132 640: 1
  216. Class Images Instances Box(P R mAP50 m
  217.  
  218. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  219. 28/100 8.23G 0.1874 0.1785 0.8417 127 640: 1
  220. Class Images Instances Box(P R mAP50 m
  221.  
  222. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  223. 29/100 8.17G 0.187 0.1784 0.8422 107 640: 1
  224. Class Images Instances Box(P R mAP50 m
  225.  
  226. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  227. 30/100 8.23G 0.1864 0.179 0.8418 108 640: 1
  228. Class Images Instances Box(P R mAP50 m
  229.  
  230. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  231. 31/100 8.17G 0.1848 0.1769 0.841 138 640: 1
  232. Class Images Instances Box(P R mAP50 m
  233.  
  234. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  235. 32/100 8.23G 0.1845 0.1771 0.8415 137 640: 1
  236. Class Images Instances Box(P R mAP50 m
  237.  
  238. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  239. 33/100 8.24G 0.1832 0.1761 0.8411 127 640: 1
  240. Class Images Instances Box(P R mAP50 m
  241.  
  242. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  243. 34/100 8.18G inf 0.175 0.8409 139 640: 1
  244. Class Images Instances Box(P R mAP50 m
  245.  
  246. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  247. 35/100 8.23G 0.1822 0.1738 0.8405 137 640: 1
  248. Class Images Instances Box(P R mAP50 m
  249.  
  250. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  251. 36/100 8.17G 0.1815 0.1736 0.8408 134 640: 1
  252. Class Images Instances Box(P R mAP50 m
  253.  
  254. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  255. 37/100 8.17G 0.1806 0.1732 0.8407 148 640: 1
  256. Class Images Instances Box(P R mAP50 m
  257.  
  258. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  259. 38/100 8.23G 0.1794 0.1718 0.8405 119 640: 1
  260. Class Images Instances Box(P R mAP50 m
  261.  
  262. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  263. 39/100 8.17G 0.1786 0.1709 0.8403 118 640: 1
  264. Class Images Instances Box(P R mAP50 m
  265.  
  266. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  267. 40/100 8.23G 0.1782 0.1703 0.8403 135 640: 1
  268. Class Images Instances Box(P R mAP50 m
  269.  
  270. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  271. 41/100 8.17G 0.1773 0.1696 0.8399 116 640: 1
  272. Class Images Instances Box(P R mAP50 m
  273.  
  274. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  275. 42/100 8.23G 0.1763 0.1689 0.8396 123 640: 1
  276. Class Images Instances Box(P R mAP50 m
  277.  
  278. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  279. 43/100 8.23G 0.1756 0.168 0.8394 125 640: 1
  280. Class Images Instances Box(P R mAP50 m
  281.  
  282. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  283. 44/100 8.17G 0.1747 0.1677 0.8394 131 640: 1
  284. Class Images Instances Box(P R mAP50 m
  285.  
  286. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  287. 45/100 8.23G inf 0.1665 0.8391 136 640: 1
  288. Class Images Instances Box(P R mAP50 m
  289.  
  290. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  291. 46/100 8.17G 0.1733 0.1659 0.8393 118 640: 1
  292. Class Images Instances Box(P R mAP50 m
  293.  
  294. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  295. 47/100 8.23G 0.1726 0.1655 0.839 139 640: 1
  296. Class Images Instances Box(P R mAP50 m
  297.  
  298. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  299. 48/100 8.17G 0.1715 0.1648 0.8385 134 640: 1
  300. Class Images Instances Box(P R mAP50 m
  301.  
  302. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  303. 49/100 8.17G 0.1713 0.165 0.8388 124 640: 1
  304. Class Images Instances Box(P R mAP50 m
  305.  
  306. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  307. 50/100 8.17G 0.1707 0.164 0.8386 119 640: 1
  308. Class Images Instances Box(P R mAP50 m
  309.  
  310. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  311. 51/100 8.23G 0.1698 0.1629 0.8384 129 640: 1
  312. Class Images Instances Box(P R mAP50 m
  313.  
  314. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  315. 52/100 8.17G 0.1688 0.162 0.8381 131 640: 1
  316. Class Images Instances Box(P R mAP50 m
  317.  
  318. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  319. 53/100 8.23G 0.1685 0.162 0.8383 111 640: 1
  320. Class Images Instances Box(P R mAP50 m
  321.  
  322. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  323. 54/100 8.17G 0.1677 0.1609 0.8377 118 640: 1
  324. Class Images Instances Box(P R mAP50 m
  325.  
  326. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  327. 55/100 8.17G inf 0.1601 0.8379 153 640: 1
  328. Class Images Instances Box(P R mAP50 m
  329.  
  330. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  331. 56/100 8.17G 0.1661 0.1597 0.8377 121 640: 1
  332. Class Images Instances Box(P R mAP50 m
  333.  
  334. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  335. 57/100 8.23G 0.165 0.1586 0.8375 133 640: 1
  336. Class Images Instances Box(P R mAP50 m
  337.  
  338. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  339. 58/100 8.17G 0.1642 0.158 0.8372 141 640: 1
  340. Class Images Instances Box(P R mAP50 m
  341.  
  342. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  343. 59/100 8.24G 0.1635 0.1575 0.837 125 640: 1
  344. Class Images Instances Box(P R mAP50 m
  345.  
  346. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  347. 60/100 8.23G 0.1632 0.1575 0.837 140 640: 1
  348. Class Images Instances Box(P R mAP50 m
  349.  
  350. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  351. 61/100 8.24G 0.1626 0.1566 0.8373 130 640: 1
  352. Class Images Instances Box(P R mAP50 m
  353.  
  354. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  355. 62/100 8.23G 0.1612 0.1556 0.8366 120 640: 1
  356. Class Images Instances Box(P R mAP50 m
  357.  
  358. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  359. 63/100 8.17G 0.1602 0.1543 0.8363 109 640: 1
  360. Class Images Instances Box(P R mAP50 m
  361.  
  362. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  363. 64/100 8.24G 0.1598 0.1541 0.8365 129 640: 1
  364. Class Images Instances Box(P R mAP50 m
  365.  
  366. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  367. 65/100 8.23G 0.1585 0.1532 0.8361 116 640: 1
  368. Class Images Instances Box(P R mAP50 m
  369.  
  370. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  371. 66/100 8.23G 0.1579 0.1526 0.8361 120 640: 1
  372. Class Images Instances Box(P R mAP50 m
  373.  
  374. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  375. 67/100 8.17G 0.1574 0.1517 0.8357 136 640: 1
  376. Class Images Instances Box(P R mAP50 m
  377.  
  378. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  379. 68/100 8.23G 0.1561 0.1505 0.8353 127 640: 1
  380. Class Images Instances Box(P R mAP50 m
  381.  
  382. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  383. 69/100 8.24G 0.1554 0.1498 0.8356 155 640: 1
  384. Class Images Instances Box(P R mAP50 m
  385.  
  386. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  387. 70/100 8.23G 0.1547 0.1495 0.8352 141 640: 1
  388. Class Images Instances Box(P R mAP50 m
  389.  
  390. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  391. 71/100 8.23G 0.1539 0.148 0.8351 123 640: 1
  392. Class Images Instances Box(P R mAP50 m
  393.  
  394. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  395. 72/100 8.23G 0.153 0.1478 0.835 124 640: 1
  396. Class Images Instances Box(P R mAP50 m
  397.  
  398. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  399. 73/100 8.17G 0.1515 0.1472 0.8347 135 640: 1
  400. Class Images Instances Box(P R mAP50 m
  401.  
  402. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  403. 74/100 8.23G inf 0.1456 0.8345 108 640: 1
  404. Class Images Instances Box(P R mAP50 m
  405.  
  406. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  407. 75/100 8.23G 0.1494 0.1439 0.8341 130 640: 1
  408. Class Images Instances Box(P R mAP50 m
  409.  
  410. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  411. 76/100 8.23G inf 0.1436 0.8342 117 640: 1
  412. Class Images Instances Box(P R mAP50 m
  413.  
  414. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  415. 77/100 8.23G 0.1479 0.1433 0.834 135 640: 1
  416. Class Images Instances Box(P R mAP50 m
  417.  
  418. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  419. 78/100 8.17G 0.147 0.1425 0.8336 131 640: 1
  420. Class Images Instances Box(P R mAP50 m
  421.  
  422. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  423. 79/100 8.17G 0.1459 0.1408 0.8333 143 640: 1
  424. Class Images Instances Box(P R mAP50 m
  425.  
  426. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  427. 80/100 8.17G 0.1448 0.1404 0.8334 121 640: 1
  428. Class Images Instances Box(P R mAP50 m
  429.  
  430. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  431. 81/100 8.23G 0.1439 0.1387 0.8329 143 640: 1
  432. Class Images Instances Box(P R mAP50 m
  433.  
  434. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  435. 82/100 8.24G 0.1431 0.1384 0.833 121 640: 1
  436. Class Images Instances Box(P R mAP50 m
  437.  
  438. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  439. 83/100 8.17G 0.1411 0.1361 0.8321 145 640: 1
  440. Class Images Instances Box(P R mAP50 m
  441.  
  442. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  443. 84/100 8.23G 0.1404 0.1354 0.8323 120 640: 1
  444. Class Images Instances Box(P R mAP50 m
  445.  
  446. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  447. 85/100 8.23G inf 0.1346 0.832 133 640: 1
  448. Class Images Instances Box(P R mAP50 m
  449.  
  450. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  451. 86/100 8.17G 0.1375 0.1326 0.8317 121 640: 1
  452. Class Images Instances Box(P R mAP50 m
  453.  
  454. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  455. 87/100 8.23G 0.1366 0.1314 0.8314 127 640: 1
  456. Class Images Instances Box(P R mAP50 m
  457.  
  458. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  459. 88/100 8.23G 0.1354 0.1309 0.8311 139 640: 1
  460. Class Images Instances Box(P R mAP50 m
  461.  
  462. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  463. 89/100 8.23G inf 0.1287 0.8307 123 640: 1
  464. Class Images Instances Box(P R mAP50 m
  465.  
  466. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  467. 90/100 8.23G inf 0.1268 0.8307 128 640: 1
  468. Class Images Instances Box(P R mAP50 m
  469. Closing dataloader mosaic
  470.  
  471. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  472. 91/100 8.17G 0.1181 0.09869 0.786 73 640: 1
  473. Class Images Instances Box(P R mAP50 m
  474.  
  475. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  476. 92/100 8.17G 0.1148 0.09534 0.7854 70 640: 1
  477. Class Images Instances Box(P R mAP50 m
  478.  
  479. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  480. 93/100 8.18G 0.1109 0.09083 0.7846 69 640: 1
  481. Class Images Instances Box(P R mAP50 m
  482.  
  483. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  484. 94/100 8.17G 0.1084 0.08753 0.7842 67 640: 1
  485. Class Images Instances Box(P R mAP50 m
  486.  
  487. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  488. 95/100 8.17G 0.1062 0.08498 0.7832 75 640: 1
  489. Class Images Instances Box(P R mAP50 m
  490.  
  491. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  492. 96/100 8.17G 0.1041 0.08361 0.7825 69 640: 1
  493. Class Images Instances Box(P R mAP50 m
  494.  
  495. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  496. 97/100 8.17G 0.1017 0.08066 0.7819 72 640: 1
  497. Class Images Instances Box(P R mAP50 m
  498.  
  499. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  500. 98/100 8.18G 0.09907 0.07774 0.7813 66 640: 1
  501. Class Images Instances Box(P R mAP50 m
  502.  
  503. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  504. 99/100 8.17G 0.0963 0.07473 0.7808 77 640: 1
  505. Class Images Instances Box(P R mAP50 m
  506.  
  507. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  508. 100/100 8.17G 0.09395 0.0718 0.7806 68 640: 1
  509. Class Images Instances Box(P R mAP50 m
  510.  
  511. 100 epochs completed in 38.937 hours.
  512. Optimizer stripped from runs/detect/train30/weights/last.pt, 6.2MB
  513. Optimizer stripped from runs/detect/train30/weights/best.pt, 6.2MB
  514.  
  515. Validating runs/detect/train30/weights/best.pt...
  516. Class Images Instances Box(P R mAP50 m
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