update tensorboard metric

train.py

@@ -308,7 +308,7 @@ def train(hyp):
         # Tensorboard
         if tb_writer:
             tags = ['train/giou_loss', 'train/obj_loss', 'train/cls_loss',
-                    'metrics/precision', 'metrics/recall', 'metrics/mAP_0.5', 'metrics/F1',
+                    'metrics/precision', 'metrics/recall', 'metrics/mAP_0.5', 'metrics/mAP_0.5:0.95',
                     'val/giou_loss', 'val/obj_loss', 'val/cls_loss']
             for x, tag in zip(list(mloss[:-1]) + list(results), tags):
                 tb_writer.add_scalar(tag, x, epoch)