harmonise training configs

Author: sfluegel

configs/training/default_callbacks.yml

@@ -10,5 +10,3 @@
     filename: 'per_{epoch:02d}_{val_loss:.4f}_{val_macro-f1:.4f}_{val_micro-f1:.4f}'
     every_n_epochs: 25
     save_top_k: -1
-#- class_path: chebai.callbacks.epoch_metrics.EpochLevelMacroF1
-#class_path: chebai.callbacks.save_config_callback.CustomSaveConfigCallback

configs/training/pretraining_callbacks.yml

@@ -4,9 +4,9 @@
     mode: 'min'
     filename: 'best_{epoch}_{val_loss:.4f}'
     every_n_epochs: 1
-    save_top_k: 5
+    save_top_k: 3
 - class_path: chebai.callbacks.model_checkpoint.CustomModelCheckpoint
   init_args:
     filename: 'per_{epoch}_{val_loss:.4f}'
-    every_n_epochs: 5
+    every_n_epochs: 25
     save_top_k: -1

configs/training/pretraining_trainer.yml

@@ -2,6 +2,6 @@ min_epochs: 100
 max_epochs: 100
 
 default_root_dir: &default_root_dir logs
-logger: wandb_logger.yml
+logger: csv_logger.yml
 
 callbacks: pretraining_callbacks.yml

configs/training/single_class_callbacks.yml

@@ -4,10 +4,10 @@
     mode: 'max'
     filename: 'best_{epoch:02d}_{val_loss:.4f}_{val_f1:.4f}'
     every_n_epochs: 1
-    save_top_k: 5
+    save_top_k: 3
 - class_path: chebai.callbacks.model_checkpoint.CustomModelCheckpoint
   init_args:
     filename: 'per_{epoch:02d}_{val_loss:.4f}_{val_f1:.4f}'
-    every_n_epochs: 5
+    every_n_epochs: 25
     save_top_k: -1
 # difference to default_callbacks.yml: no macro-f1