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config.py

@@ -30,7 +30,7 @@ hierarchy_emb_dim = 64
 main_emb_dim = 512
 
 # Default training hyperparameters
-DEFAULT_BATCH_SIZE = 32
+DEFAULT_BATCH_SIZE = 64
 DEFAULT_LEARNING_RATE = 1.5e-5
 DEFAULT_TEMPERATURE = 0.09
 
@@ -46,11 +46,11 @@ local_dataset_path = str(ROOT_DIR / "data" / "data.csv")
 color_model_path = str(ROOT_DIR / "models" / "color_model.pt")
 hierarchy_model_path = str(ROOT_DIR / "models" / "hierarchy_model.pth")
 main_model_path = str(ROOT_DIR / "models" / "gap_clip.pth")
-tokeniser_path = str(ROOT_DIR / "tokenizer_vocab.json")
 images_dir = str(ROOT_DIR / "data" / "images")
 fashion_mnist_csv = str(ROOT_DIR / "data" / "fashion-mnist_test.csv")
 
 
+
 def print_config() -> None:
     """Pretty-print core configuration."""
     print("GAP-CLIP Configuration")
@@ -68,8 +68,7 @@ def validate_paths() -> dict[str, bool]:
         "local_dataset_path": Path(local_dataset_path).exists(),
         "color_model_path": Path(color_model_path).exists(),
         "hierarchy_model_path": Path(hierarchy_model_path).exists(),
-        "main_model_path": Path(main_model_path).exists(),
-        "tokeniser_path": Path(tokeniser_path).exists(),
+        "main_model_path": Path(main_model_path).exists()
     }
     return checks