Update detection configuration: increase warmup steps and patience, a…

…dd min_lr, and remove unused callbacks

src/otx/recipe/detection/dfine_x_tile.yaml

@@ -15,14 +15,15 @@ model:
     scheduler:
       class_path: otx.core.schedulers.LinearWarmupSchedulerCallable
       init_args:
-        num_warmup_steps: 5
+        num_warmup_steps: 20
         main_scheduler_callable:
           class_path: lightning.pytorch.cli.ReduceLROnPlateau
           init_args:
             mode: max
             factor: 0.1
-            patience: 6
+            patience: 9
             monitor: val/map_50
+            min_lr: 2e-06
 engine:
   task: DETECTION
   device: auto
@@ -31,22 +32,6 @@ callback_monitor: val/map_50
 
 data: ../_base_/data/detection_tile.yaml
 overrides:
-  callbacks:
-    - class_path: otx.algo.callbacks.adaptive_train_scheduling.AdaptiveTrainScheduling
-      init_args:
-        max_interval: 1
-        decay: -0.025
-        min_lrschedule_patience: 3
-    - class_path: otx.algo.callbacks.adaptive_early_stopping.EarlyStoppingWithWarmup
-      init_args:
-        monitor: null
-        mode: max
-        patience: 10
-        check_on_train_epoch_end: false
-        min_delta: 0.001
-        warmup_iters: 100
-        warmup_epochs: 7
-
   reset:
     - data.train_subset.transforms
     - data.val_subset.transforms