diff --git a/maze_transformer/training/config.py b/maze_transformer/training/config.py
index 43522d3..01dced1 100644
--- a/maze_transformer/training/config.py
+++ b/maze_transformer/training/config.py
@@ -589,25 +589,17 @@ def get_config_multisource(
                 dataset_cfg_name, model_cfg_name, train_cfg_name = cfg_names
                 # assemble the collective name
                 name = f"multsrc_{dataset_cfg_name}_{model_cfg_name}_{train_cfg_name}"
-                print(f"gcm 591: {dataset_cfg_name = }")
             else:
                 # 4 names if collective name, unpack it
                 dataset_cfg_name, model_cfg_name, train_cfg_name, name = cfg_names
-                print(f"gcm 595: {dataset_cfg_name = }")
-
             try:
                 # try to actually assemble the configuration by looking up names in dicts
-                print(f"gcm 599: {dataset_cfg_name = }")
-                for k, v in MAZE_DATASET_CONFIGS.items():
-                    print(f"{k}: {v.summary()}")
-
                 config = ConfigHolder(
                     name=name,
                     dataset_cfg=copy.deepcopy(MAZE_DATASET_CONFIGS[dataset_cfg_name]),
                     model_cfg=copy.deepcopy(GPT_CONFIGS[model_cfg_name]),
                     train_cfg=copy.deepcopy(TRAINING_CONFIGS[train_cfg_name]),
                 )
-                print(f"gcm 612: {config.dataset_cfg.summary() = }")
             except KeyError as e:
                 # exception handling for missing keys case
                 raise KeyError(
@@ -620,14 +612,12 @@ def get_config_multisource(
             raise ValueError(
                 "Must provide exactly one of cfg, cfg_file, or cfg_names. this state should be unreachable btw."
             )
-        print(f"gcm 604: {config.dataset_cfg.summary() = }")
         # update config with kwargs
         if kwargs_in:
             kwargs_dict: dict = kwargs_to_nested_dict(
                 kwargs_in, sep=".", strip_prefix="cfg.", when_unknown_prefix="raise"
             )
             config.update_from_nested_dict(kwargs_dict)
-        print(f"gcm 611: {config.dataset_cfg.summary() = }")
         return config
 
 
diff --git a/maze_transformer/training/train_model.py b/maze_transformer/training/train_model.py
index 16d705e..bfc8d7c 100644
--- a/maze_transformer/training/train_model.py
+++ b/maze_transformer/training/train_model.py
@@ -62,7 +62,6 @@ def train_model(
         - model config names: {model_cfg_names}
         - train config names: {train_cfg_names}
     """
-    print(cfg.dataset_cfg.summary())
     if help:
         print(train_model.__doc__)
         return
@@ -110,7 +109,6 @@ def train_model(
     logger.progress("Summary logged, getting dataset")
 
     # load dataset
-    print(cfg.dataset_cfg.summary())
     if dataset is None:
         dataset = MazeDataset.from_config(
             cfg=cfg.dataset_cfg,
@@ -151,7 +149,6 @@ def train_model(
                     )
 
     logger.progress(f"finished getting training dataset with {len(dataset)} samples")
-    print(f"{len(dataset) = }")
     # validation dataset, if applicable
     val_dataset: MazeDataset | None = None
     if cfg.train_cfg.validation_dataset_cfg is not None: