Comment overrides of model checkpoint to monitor class. acc. instead …

…of loss

didactic/config/experiment/cardinal/multimodal-xformer-finetune.yaml

@@ -22,9 +22,9 @@ task:
 callbacks:
   transformer_encoder_freeze:
     finetune_layers: null
-  model_checkpoint:
-    monitor: val/acc/${list.at:${oc.dict.keys:task.predict_losses},0}
-    mode: max
+#  model_checkpoint:
+#    monitor: val/acc/${list.at:${oc.dict.keys:task.predict_losses},0}
+#    mode: max
 
 # Change checkpoint loading defaults to:
 ckpt: ??? # Make it mandatory to provide a checkpoint

didactic/config/experiment/cardinal/multimodal-xformer-head.yaml

@@ -18,9 +18,9 @@ task:
 callbacks:
   transformer_encoder_freeze:
     finetune_layers: []
-  model_checkpoint:
-    monitor: val/acc/${list.at:${oc.dict.keys:task.predict_losses},0}
-    mode: max
+#  model_checkpoint:
+#    monitor: val/acc/${list.at:${oc.dict.keys:task.predict_losses},0}
+#    mode: max
 
 # Change checkpoint loading defaults to:
 ckpt: ??? # Make it mandatory to provide a checkpoint

didactic/config/experiment/cardinal/multimodal-xformer-scratch.yaml

@@ -17,10 +17,10 @@ task:
   contrastive_loss_weight: 0
   mtr_p: [ 0.3, 0 ]
 
-callbacks:
-  model_checkpoint:
-    monitor: val/acc/${list.at:${oc.dict.keys:task.predict_losses},0}
-    mode: max
+#callbacks:
+#  model_checkpoint:
+#    monitor: val/acc/${list.at:${oc.dict.keys:task.predict_losses},0}
+#    mode: max
 
 hydra:
   run:

didactic/config/experiment/cardinal/xtab-finetune.yaml

@@ -35,10 +35,10 @@ ckpt: ??? # Make it mandatory to provide a checkpoint
 weights_only: True  # Only load the weights and ignore the hyperparameters
 strict: False # Only load weights where they match the defined network, to only some changes (e.g. heads, etc.)
 
-callbacks:
-  model_checkpoint:
-    monitor: val/acc/${list.at:${oc.dict.keys:task.predict_losses},0}
-    mode: max
+#callbacks:
+#  model_checkpoint:
+#    monitor: val/acc/${list.at:${oc.dict.keys:task.predict_losses},0}
+#    mode: max
 
 hydra:
   run: