1 files changed, 1 insertions, 19 deletions

diff --git a/train_ti.py b/train_ti.py
index 1dbd637..8c63493 100644
--- a/train_ti.py
+++ b/train_ti.py
@@ -112,12 +112,6 @@ def parse_args():
         help="Tokens to create an alias for.",
     )
     parser.add_argument(
-        "--inverted_initializer_tokens",
-        type=str,
-        nargs="*",
-        help="A token to use as initializer word.",
-    )
-    parser.add_argument(
         "--num_vectors", type=int, nargs="*", help="Number of vectors per embedding."
     )
     parser.add_argument(
@@ -545,18 +539,6 @@ def parse_args():
             "--placeholder_tokens and --initializer_tokens must have the same number of items"
         )
 
-    if isinstance(args.inverted_initializer_tokens, str):
-        args.inverted_initializer_tokens = [args.inverted_initializer_tokens] * len(
-            args.placeholder_tokens
-        )
-
-    if (
-        isinstance(args.inverted_initializer_tokens, list)
-        and len(args.inverted_initializer_tokens) != 0
-    ):
-        args.placeholder_tokens += [f"inv_{t}" for t in args.placeholder_tokens]
-        args.initializer_tokens += args.inverted_initializer_tokens
-
     if isinstance(args.num_vectors, int):
         args.num_vectors = [args.num_vectors] * len(args.placeholder_tokens)
 
@@ -872,7 +854,7 @@ def main():
 
     optimizer = create_optimizer(
         text_encoder.text_model.embeddings.token_embedding.parameters(),
-        lr=learning_rate,
+        lr=args.learning_rate,
     )
 
     data_generator = torch.Generator(device="cpu").manual_seed(args.seed)