update res2net200_vd_distill_pphgnet_base.yaml

ppcls/arch/backbone/legendary_models/pp_hgnet.py

@@ -27,7 +27,8 @@ MODEL_URLS = {
     "PPHGNet_tiny":
     "https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/PPHGNet_tiny_pretrained.pdparams",
     "PPHGNet_small":
-    "https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/PPHGNet_small_pretrained.pdparams"
+    "https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/legendary_models/PPHGNet_small_pretrained.pdparams",
+    "PPHGNet_base": ""
 }
 
 __all__ = list(MODEL_URLS.keys())

ppcls/configs/ImageNet/Distillation/res2net200_vd_distill_pphgnet_base.yaml

@@ -54,9 +54,8 @@ Loss:
         model_name_pairs:
         - ["Student", "Teacher"]
   Eval:
-    - DistillationGTCELoss:
+    - CELoss:
         weight: 1.0
-        model_names: ["Student"]
         
 
 Optimizer: