diff --git a/aimodel/src/subcommands/rainfall_stats.py b/aimodel/src/subcommands/rainfall_stats.py
index f128596..56c4af5 100755
--- a/aimodel/src/subcommands/rainfall_stats.py
+++ b/aimodel/src/subcommands/rainfall_stats.py
@@ -20,7 +20,7 @@ def parse_args():
 	# parser.add_argument("--config", "-c", help="Filepath to the TOML config file to load.", required=True)
 	parser.add_argument("--input", "-i", help="Path to input directory containing the .tfrecord(.gz) files to predict for. If a single file is passed instead, then only that file will be converted.", required=True)
 	parser.add_argument("--reads-multiplier", help="Optional. The multiplier for the number of files we should read from at once. Defaults to 0. When using this start with 1.5, which means read ceil(NUMBER_OF_CORES * 1.5). Set to a higher number of systems with high read latency to avoid starving the GPU of data. SETTING THIS WILL SCRAMBLE THE ORDER OF THE DATASET.")
-	parser.add_argument("--batch_size", help="Optional. The batch size to calculate statistics with. Can be larger than normal since we don't have a model loaded. Default: 1024")
+	parser.add_argument("--batch-size", help="Optional. The batch size to calculate statistics with. Can be larger than normal since we don't have a model loaded. Default: 1024")
 	return parser
 
 def run(args):