Update README file

README.md

@@ -12,17 +12,17 @@ Not provided
 ```
 IoU metric: bbox
  Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.006
- Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.012
- Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.006
+ Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.016
+ Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.004
  Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.000
  Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.000
  Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.006
- Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.037
- Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.064
- Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.072
+ Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.041
+ Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.077
+ Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.083
  Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.000
  Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.000
- Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.074
+ Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.085
 ```
 
 ## Config
@@ -37,8 +37,8 @@ IoU metric: bbox
 ## Logging
 ### Training process
 ```
-{'validation_loss': tensor(8.3678, device='cuda:0'), 'validation_loss_ce': tensor(3.2526, device='cuda:0'), 'validation_loss_bbox': tensor(0.5756, device='cuda:0'), 'validation_loss_giou': tensor(1.1184, device='cuda:0'), 'validation_cardinality_error': tensor(99.5938, device='cuda:0')}
-{'training_loss': tensor(1.3440, device='cuda:0'), 'train_loss_ce': tensor(0.2790, device='cuda:0'), 'train_loss_bbox': tensor(0.0702, device='cuda:0'), 'train_loss_giou': tensor(0.3571, device='cuda:0'), 'train_cardinality_error': tensor(0.6471, device='cuda:0'), 'validation_loss': tensor(1.6742, device='cuda:0'), 'validation_loss_ce': tensor(0.2339, device='cuda:0'), 'validation_loss_bbox': tensor(0.0976, device='cuda:0'), 'validation_loss_giou': tensor(0.4762, device='cuda:0'), 'validation_cardinality_error': tensor(0.5294, device='cuda:0')}
+{'validation_loss': tensor(7.8284, device='cuda:1'), 'validation_loss_ce': tensor(2.7671, device='cuda:1'), 'validation_loss_bbox': tensor(0.5730, device='cuda:1'), 'validation_loss_giou': tensor(1.0983, device='cuda:1'), 'validation_cardinality_error': tensor(98.8125, device='cuda:1')}
+{'training_loss': tensor(1.3821, device='cuda:1'), 'train_loss_ce': tensor(0.1972, device='cuda:1'), 'train_loss_bbox': tensor(0.0681, device='cuda:1'), 'train_loss_giou': tensor(0.4223, device='cuda:1'), 'train_cardinality_error': tensor(0.4118, device='cuda:1'), 'validation_loss': tensor(1.6166, device='cuda:1'), 'validation_loss_ce': tensor(0.2388, device='cuda:1'), 'validation_loss_bbox': tensor(0.0936, device='cuda:1'), 'validation_loss_giou': tensor(0.4548, device='cuda:1'), 'validation_cardinality_error': tensor(0.5118, device='cuda:1')}
 ```
 
 ## Examples