WIP

configs/default.yaml

@@ -76,7 +76,7 @@ matching:
 
 # YOLO Training
 yolo:
-  model: yolov8s              # Model architecture (yolov8n/s/m/l/x)
+  model: yolo26s              # Model architecture (yolo26n/s/m/l/x)
   epochs: 100
   batch_size: 16
   img_size: 1280              # Image size for training

configs/training.yaml

@@ -2,7 +2,7 @@
 # Use with: yolo train data=dataset.yaml cfg=training.yaml
 
 # Model
-model: yolov8s.pt
+model: yolo26s.pt
 
 # Training hyperparameters
 epochs: 100
@@ -57,3 +57,12 @@ name: invoice_fields
 exist_ok: true
 pretrained: true
 verbose: true
+
+# Fine-tuning profile (overrides when task_type == finetune)
+finetune:
+  epochs: 10
+  lr0: 0.001
+  freeze: 10
+  warmup_epochs: 1
+  cos_lr: true
+  patience: 5