Upload bevformer_tiny_test.py with huggingface_hub

bevformer_tiny_test.py

@@ -431,7 +431,7 @@ lr_config = dict(
     warmup_iters=500,
     warmup_ratio=0.3333333333333333)
 max_epochs = 5
-max_iters = 3500
+max_iters = 4000
 model = dict(
     img_backbone=dict(
         depth=50,
@@ -930,7 +930,7 @@ test_pipeline = [
         type='MultiScaleFlipAug3D'),
 ]
 train_cfg = dict(
-    by_epoch=False, max_epochs=5, max_iters=3500, val_interval=250)
+    by_epoch=False, max_epochs=5, max_iters=4000, val_interval=250)
 train_dataloader = dict(
     batch_size=1,
     collate_fn=dict(type='train_collate'),