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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-n/pytorch/ultralytics/coco/base-none, data=/tables-dataset-tables-only/data.yaml, epochs=100, patience=0, 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/train27
  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 /tables-dataset-tables-only/train/labels... 18268 images, 0 back
  37. train: WARNING ⚠️ /tables-dataset-tables-only/train/images/train-21766.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0006]
  38. train: WARNING ⚠️ /tables-dataset-tables-only/train/images/train-431.jpg: ignoring corrupt image/label: non-normalized or out of bounds coordinates [ 1.0004]
  39. train: New cache created: /tables-dataset-tables-only/train/labels.cache
  40. val: Scanning /tables-dataset-tables-only/valid/labels... 1478 images, 0 backgro
  41. val: New cache created: /tables-dataset-tables-only/valid/labels.cache
  42. Plotting labels to runs/detect/train27/labels.jpg...
  43. 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)
  44. val: Scanning /tables-dataset-tables-only/valid/labels.cache... 1478 images, 0 b
  45. /usr/local/lib/python3.8/dist-packages/sparseml/yolov8/trainers.py:320: UserWarning: Unable to import wandb for logging
  46. warnings.warn("Unable to import wandb for logging")
  47. Image sizes 640 train, 640 val
  48. Using 8 dataloader workers
  49. Logging results to runs/detect/train27
  50. Starting training for 100 epochs...
  51.  
  52. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  53. 1/100 8.21G 0.8026 1.431 1.113 199 640: 1
  54. Class Images Instances Box(P R mAP50 m
  55.  
  56. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  57. 2/100 8.25G 0.6243 0.8342 1.006 223 640: 1
  58. Class Images Instances Box(P R mAP50 m
  59.  
  60. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  61. 3/100 8.16G 0.6605 0.8029 1.021 207 640: 1
  62. Class Images Instances Box(P R mAP50 m
  63.  
  64. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  65. 4/100 8.26G 0.6493 0.7574 1.02 211 640: 1
  66. Class Images Instances Box(P R mAP50 m
  67.  
  68. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  69. 5/100 8.17G 0.5768 0.6687 0.9893 195 640: 1
  70. Class Images Instances Box(P R mAP50 m
  71.  
  72. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  73. 6/100 8.21G 0.5423 0.6176 0.9756 204 640: 1
  74. Class Images Instances Box(P R mAP50 m
  75.  
  76. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  77. 7/100 8.24G 0.5151 0.5855 0.9634 179 640: 1
  78. Class Images Instances Box(P R mAP50 m
  79.  
  80. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  81. 8/100 8.21G 0.4988 0.5701 0.9576 188 640: 1
  82. Class Images Instances Box(P R mAP50 m
  83.  
  84. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  85. 9/100 8.24G 0.4787 0.5384 0.95 192 640: 1
  86. Class Images Instances Box(P R mAP50 m
  87.  
  88. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  89. 10/100 8.23G 0.471 0.5339 0.9494 208 640: 1
  90. Class Images Instances Box(P R mAP50 m
  91.  
  92. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  93. 11/100 8.24G 0.4546 0.514 0.9415 190 640: 1
  94. Class Images Instances Box(P R mAP50 m
  95.  
  96. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  97. 12/100 8.23G 0.4472 0.5039 0.9417 195 640: 1
  98. Class Images Instances Box(P R mAP50 m
  99.  
  100. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  101. 13/100 8.21G 0.4394 0.4982 0.9388 180 640: 1
  102. Class Images Instances Box(P R mAP50 m
  103.  
  104. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  105. 14/100 8.23G 0.4314 0.4812 0.9319 229 640: 1
  106. Class Images Instances Box(P R mAP50 m
  107.  
  108. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  109. 15/100 8.16G 0.4273 0.4798 0.932 210 640: 1
  110. Class Images Instances Box(P R mAP50 m
  111.  
  112. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  113. 16/100 8.21G 0.4253 0.4749 0.9303 201 640: 1
  114. Class Images Instances Box(P R mAP50 m
  115.  
  116. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  117. 17/100 8.21G 0.4183 0.4683 0.9296 190 640: 1
  118. Class Images Instances Box(P R mAP50 m
  119.  
  120. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  121. 18/100 8.21G 0.4103 0.458 0.9252 173 640: 1
  122. Class Images Instances Box(P R mAP50 m
  123.  
  124. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  125. 19/100 8.17G 0.405 0.4562 0.9247 206 640: 1
  126. Class Images Instances Box(P R mAP50 m
  127.  
  128. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  129. 20/100 8.21G 0.4022 0.451 0.9226 201 640: 1
  130. Class Images Instances Box(P R mAP50 m
  131.  
  132. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  133. 21/100 8.23G 0.3992 0.4458 0.9219 198 640: 1
  134. Class Images Instances Box(P R mAP50 m
  135.  
  136. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  137. 22/100 8.22G 0.3996 0.4423 0.9226 171 640: 1
  138. Class Images Instances Box(P R mAP50 m
  139.  
  140. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  141. 23/100 8.23G 0.3938 0.4356 0.919 208 640: 1
  142. Class Images Instances Box(P R mAP50 m
  143.  
  144. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  145. 24/100 8.17G 0.3864 0.4289 0.9173 211 640: 1
  146. Class Images Instances Box(P R mAP50 m
  147.  
  148. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  149. 25/100 8.21G 0.3883 0.4295 0.9198 168 640: 1
  150. Class Images Instances Box(P R mAP50 m
  151.  
  152. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  153. 26/100 8.29G 0.3839 0.4275 0.917 171 640: 1
  154. Class Images Instances Box(P R mAP50 m
  155.  
  156. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  157. 27/100 8.21G 0.3851 0.4241 0.9168 178 640: 1
  158. Class Images Instances Box(P R mAP50 m
  159.  
  160. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  161. 28/100 8.17G 0.378 0.4229 0.9133 194 640: 1
  162. Class Images Instances Box(P R mAP50 m
  163.  
  164. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  165. 29/100 8.17G 0.3785 0.4179 0.9126 183 640: 1
  166. Class Images Instances Box(P R mAP50 m
  167.  
  168. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  169. 30/100 8.21G 0.3756 0.4136 0.9124 156 640: 1
  170. Class Images Instances Box(P R mAP50 m
  171.  
  172. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  173. 31/100 8.21G 0.3748 0.4118 0.9137 171 640: 1
  174. Class Images Instances Box(P R mAP50 m
  175.  
  176. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  177. 32/100 8.17G 0.3762 0.4088 0.9131 210 640: 1
  178. Class Images Instances Box(P R mAP50 m
  179.  
  180. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  181. 33/100 8.17G 0.3652 0.4063 0.9105 180 640: 1
  182. Class Images Instances Box(P R mAP50 m
  183.  
  184. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  185. 34/100 8.24G 0.3687 0.4067 0.9124 191 640: 1
  186. Class Images Instances Box(P R mAP50 m
  187.  
  188. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  189. 35/100 8.24G 0.3614 0.4006 0.9064 199 640: 1
  190. Class Images Instances Box(P R mAP50 m
  191.  
  192. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  193. 36/100 8.26G 0.3608 0.3983 0.9086 201 640: 1
  194. Class Images Instances Box(P R mAP50 m
  195.  
  196. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  197. 37/100 8.25G 0.3636 0.4021 0.9099 216 640: 1
  198. Class Images Instances Box(P R mAP50 m
  199.  
  200. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  201. 38/100 8.24G 0.3614 0.3957 0.9085 228 640: 1
  202. Class Images Instances Box(P R mAP50 m
  203.  
  204. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  205. 39/100 8.23G 0.3588 0.3934 0.9063 185 640: 1
  206. Class Images Instances Box(P R mAP50 m
  207.  
  208. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  209. 40/100 8.21G 0.3561 0.3939 0.9061 204 640: 1
  210. Class Images Instances Box(P R mAP50 m
  211.  
  212. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  213. 41/100 8.24G 0.3567 0.3895 0.9073 190 640: 1
  214. Class Images Instances Box(P R mAP50 m
  215.  
  216. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  217. 42/100 8.21G 0.3523 0.3837 0.9077 208 640: 1
  218. Class Images Instances Box(P R mAP50 m
  219.  
  220. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  221. 43/100 8.24G 0.3483 0.3837 0.9022 195 640: 1
  222. Class Images Instances Box(P R mAP50 m
  223.  
  224. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  225. 44/100 8.17G 0.3544 0.3879 0.9075 216 640: 1
  226. Class Images Instances Box(P R mAP50 m
  227.  
  228. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  229. 45/100 8.25G 0.3486 0.3808 0.9032 224 640: 1
  230. Class Images Instances Box(P R mAP50 m
  231.  
  232. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  233. 46/100 8.23G 0.3485 0.3802 0.9041 210 640: 1
  234. Class Images Instances Box(P R mAP50 m
  235.  
  236. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  237. 47/100 8.26G 0.3488 0.3789 0.9054 199 640: 1
  238. Class Images Instances Box(P R mAP50 m
  239.  
  240. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  241. 48/100 8.16G 0.3434 0.3733 0.9013 224 640: 1
  242. Class Images Instances Box(P R mAP50 m
  243.  
  244. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  245. 49/100 8.17G 0.3429 0.3731 0.9025 171 640: 1
  246. Class Images Instances Box(P R mAP50 m
  247.  
  248. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  249. 50/100 8.17G 0.3353 0.3675 0.8989 196 640: 1
  250. Class Images Instances Box(P R mAP50 m
  251.  
  252. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  253. 51/100 8.25G 0.3361 0.3629 0.9002 195 640: 1
  254. Class Images Instances Box(P R mAP50 m
  255.  
  256. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  257. 52/100 8.21G 0.3382 0.3709 0.8991 181 640: 1
  258. Class Images Instances Box(P R mAP50 m
  259.  
  260. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  261. 53/100 8.25G 0.3366 0.3661 0.8999 213 640: 1
  262. Class Images Instances Box(P R mAP50 m
  263.  
  264. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  265. 54/100 8.24G 0.3323 0.3571 0.8974 229 640: 1
  266. Class Images Instances Box(P R mAP50 m
  267.  
  268. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  269. 55/100 8.21G 0.3346 0.3626 0.8991 184 640: 1
  270. Class Images Instances Box(P R mAP50 m
  271.  
  272. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  273. 56/100 8.22G 0.3331 0.3586 0.899 205 640: 1
  274. Class Images Instances Box(P R mAP50 m
  275.  
  276. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  277. 57/100 8.21G 0.3306 0.3579 0.8973 225 640: 1
  278. Class Images Instances Box(P R mAP50 m
  279.  
  280. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  281. 58/100 8.23G 0.3307 0.3576 0.8988 196 640: 1
  282. Class Images Instances Box(P R mAP50 m
  283.  
  284. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  285. 59/100 8.21G 0.3284 0.3555 0.8963 190 640: 1
  286. Class Images Instances Box(P R mAP50 m
  287.  
  288. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  289. 60/100 8.17G 0.3257 0.3527 0.8956 203 640: 1
  290. Class Images Instances Box(P R mAP50 m
  291.  
  292. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  293. 61/100 8.17G 0.3245 0.3486 0.8955 182 640: 1
  294. Class Images Instances Box(P R mAP50 m
  295.  
  296. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  297. 62/100 8.27G 0.3249 0.347 0.8953 177 640: 1
  298. Class Images Instances Box(P R mAP50 m
  299.  
  300. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  301. 63/100 8.17G 0.323 0.3515 0.8952 211 640: 1
  302. Class Images Instances Box(P R mAP50 m
  303.  
  304. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  305. 64/100 8.23G 0.3235 0.348 0.8964 204 640: 1
  306. Class Images Instances Box(P R mAP50 m
  307.  
  308. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  309. 65/100 8.25G 0.3233 0.3437 0.8967 196 640: 1
  310. Class Images Instances Box(P R mAP50 m
  311.  
  312. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  313. 66/100 8.24G 0.3183 0.3432 0.8938 181 640: 1
  314. Class Images Instances Box(P R mAP50 m
  315.  
  316. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  317. 67/100 8.24G 0.3189 0.3454 0.8945 210 640: 1
  318. Class Images Instances Box(P R mAP50 m
  319.  
  320. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  321. 68/100 8.23G 0.3181 0.3399 0.894 186 640: 1
  322. Class Images Instances Box(P R mAP50 m
  323.  
  324. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  325. 69/100 8.17G 0.3129 0.3364 0.8899 194 640: 1
  326. Class Images Instances Box(P R mAP50 m
  327.  
  328. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  329. 70/100 8.24G 0.3135 0.3351 0.8913 157 640: 1
  330. Class Images Instances Box(P R mAP50 m
  331.  
  332. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  333. 71/100 8.24G 0.3135 0.337 0.8924 208 640: 1
  334. Class Images Instances Box(P R mAP50 m
  335.  
  336. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  337. 72/100 8.21G 0.3117 0.3323 0.8921 217 640: 1
  338. Class Images Instances Box(P R mAP50 m
  339.  
  340. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  341. 73/100 8.26G 0.3091 0.3304 0.8916 228 640: 1
  342. Class Images Instances Box(P R mAP50 m
  343.  
  344. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  345. 74/100 8.24G 0.3089 0.3275 0.8901 210 640: 1
  346. Class Images Instances Box(P R mAP50 m
  347.  
  348. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  349. 75/100 8.21G 0.3058 0.3267 0.8887 218 640: 1
  350. Class Images Instances Box(P R mAP50 m
  351.  
  352. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  353. 76/100 8.16G 0.3071 0.3241 0.8921 171 640: 1
  354. Class Images Instances Box(P R mAP50 m
  355.  
  356. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  357. 77/100 8.21G 0.3044 0.3213 0.8899 193 640: 1
  358. Class Images Instances Box(P R mAP50 m
  359.  
  360. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  361. 78/100 8.24G 0.3037 0.3222 0.8876 195 640: 1
  362. Class Images Instances Box(P R mAP50 m
  363.  
  364. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  365. 79/100 8.25G 0.3019 0.319 0.8875 193 640: 1
  366. Class Images Instances Box(P R mAP50 m
  367.  
  368. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  369. 80/100 8.21G 0.3001 0.3154 0.8871 191 640: 1
  370. Class Images Instances Box(P R mAP50 m
  371.  
  372. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  373. 81/100 8.24G 0.303 0.3182 0.8876 158 640: 1
  374. Class Images Instances Box(P R mAP50 m
  375.  
  376. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  377. 82/100 8.17G 0.2944 0.3104 0.886 186 640: 1
  378. Class Images Instances Box(P R mAP50 m
  379.  
  380. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  381. 83/100 8.24G 0.2988 0.311 0.8869 219 640: 1
  382. Class Images Instances Box(P R mAP50 m
  383.  
  384. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  385. 84/100 8.24G 0.2945 0.3074 0.8871 183 640: 1
  386. Class Images Instances Box(P R mAP50 m
  387.  
  388. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  389. 85/100 8.21G 0.2924 0.3091 0.8858 196 640: 1
  390. Class Images Instances Box(P R mAP50 m
  391.  
  392. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  393. 86/100 8.21G 0.2895 0.3049 0.8857 159 640: 1
  394. Class Images Instances Box(P R mAP50 m
  395.  
  396. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  397. 87/100 8.26G 0.2934 0.3058 0.885 191 640: 1
  398. Class Images Instances Box(P R mAP50 m
  399.  
  400. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  401. 88/100 8.25G 0.2888 0.3017 0.8856 202 640: 1
  402. Class Images Instances Box(P R mAP50 m
  403.  
  404. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  405. 89/100 8.23G 0.2909 0.2997 0.8857 182 640: 1
  406. Class Images Instances Box(P R mAP50 m
  407.  
  408. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  409. 90/100 8.21G 0.2861 0.2959 0.884 241 640: 1
  410. Class Images Instances Box(P R mAP50 m
  411. Closing dataloader mosaic
  412.  
  413. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  414. 91/100 8.1G 0.2519 0.2477 0.8503 101 640: 1
  415. Class Images Instances Box(P R mAP50 m
  416.  
  417. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  418. 92/100 8.1G 0.2483 0.2366 0.8495 88 640: 1
  419. Class Images Instances Box(P R mAP50 m
  420.  
  421. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  422. 93/100 8.16G 0.2453 0.2339 0.8483 95 640: 1
  423. Class Images Instances Box(P R mAP50 m
  424.  
  425. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  426. 94/100 8.1G 0.2421 0.2314 0.8464 89 640: 1
  427. Class Images Instances Box(P R mAP50 m
  428.  
  429. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  430. 95/100 8.1G 0.241 0.2249 0.8461 92 640: 1
  431. Class Images Instances Box(P R mAP50 m
  432.  
  433. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  434. 96/100 8.1G 0.2376 0.221 0.8463 88 640: 1
  435. Class Images Instances Box(P R mAP50 m
  436.  
  437. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  438. 97/100 8.1G 0.2363 0.22 0.844 109 640: 1
  439. Class Images Instances Box(P R mAP50 m
  440.  
  441. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  442. 98/100 8.15G 0.2333 0.2147 0.8426 105 640: 1
  443. Class Images Instances Box(P R mAP50 m
  444.  
  445. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  446. 99/100 8.1G 0.2312 0.2113 0.8407 111 640: 1
  447. Class Images Instances Box(P R mAP50 m
  448.  
  449. Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
  450. 100/100 8.1G 0.2299 0.208 0.8424 84 640: 1
  451. Class Images Instances Box(P R mAP50 m
  452.  
  453. 100 epochs completed in 1.493 hours.
  454. Optimizer stripped from runs/detect/train27/weights/last.pt, 6.2MB
  455. Optimizer stripped from runs/detect/train27/weights/best.pt, 6.2MB
  456.  
  457. Validating runs/detect/train27/weights/best.pt...
  458. Class Images Instances Box(P R mAP50 m
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