diff --git a/finetune/tag_images_by_wd14_tagger.py b/finetune/tag_images_by_wd14_tagger.py
index f81945602..e79e22045 100644
--- a/finetune/tag_images_by_wd14_tagger.py
+++ b/finetune/tag_images_by_wd14_tagger.py
@@ -125,6 +125,7 @@ def __next__(self):
                 if self.debug:
                     logger.info(f"found {len(self.files)} images in the archive")
 
+            new_images = []
             while len(images) + len(new_images) < self.batch_size:
                 if self.image_index >= len(self.files):
                     break
@@ -166,6 +167,10 @@ def collate_fn_remove_corrupted(batch):
 
 
 def main(args):
+    assert args.load_archive == (
+        args.metadata is not None
+    ), "load_archive must be used with metadata / load_archiveはmetadataと一緒に使う必要があります"
+
     # model location is model_dir + repo_id
     # repo id may be like "user/repo" or "user/repo/branch", so we need to remove slash
     model_location = os.path.join(args.model_dir, args.repo_id.replace("/", "_"))
@@ -436,7 +441,7 @@ def run_batch(
             else:
                 image_md = images_metadata.get(image_path, None)
                 if image_md is None:
-                    image_md = {"image_size": [image_size.width, image_size.height]}
+                    image_md = {"image_size": list(image_size)}
                     images_metadata[image_path] = image_md
                 if "tags" not in image_md:
                     image_md["tags"] = []
@@ -464,6 +469,7 @@ def run_batch(
 
             # version check
             major, minor, patch = metadata.get("format_version", "0.0.0").split(".")
+            major, minor, patch = int(major), int(minor), int(patch)
             if major > 1 or (major == 1 and minor > 0):
                 logger.warning(
                     f"metadata format version {major}.{minor}.{patch} is higher than supported version 1.0.0. Some features may not work."
@@ -480,7 +486,7 @@ def run_batch(
     # prepare DataLoader or something similar :)
     use_loader = False
     if args.load_archive:
-        loader = ArchiveImageLoader(image_paths, args.batch_size)
+        loader = ArchiveImageLoader([str(p) for p in image_paths], args.batch_size)
         use_loader = True
     elif args.max_data_loader_n_workers is not None:
         # 読み込みの高速化のためにDataLoaderを使うオプション