Fix Classification train logging (#157)

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Ayush Chaurasia <ayush.chaurarsia@gmail.com>

ultralytics/nn/tasks.py

@@ -259,6 +259,7 @@ class ClassificationModel(BaseModel):
             self.yaml['nc'] = nc  # override yaml value
         self.model, self.save = parse_model(deepcopy(self.yaml), ch=[ch], verbose=verbose)  # model, savelist
         self.names = {i: f'{i}' for i in range(self.yaml['nc'])}  # default names dict
+        self.info()
 
     def load(self, weights):
         model = weights["model"] if isinstance(weights, dict) else weights  # torchvision models are not dicts
@@ -292,7 +293,6 @@ class ClassificationModel(BaseModel):
 
 
 def attempt_load_weights(weights, device=None, inplace=True, fuse=False):
-    LOGGER.info("WARNING: Deprecated in favor of attempt_load_one_weight()")
     # Loads an ensemble of models weights=[a,b,c] or a single model weights=[a] or weights=a
     from ultralytics.yolo.utils.downloads import attempt_download