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train_medsiglip.py

@@ -54,12 +54,13 @@ class Config:
     # Data
     data_url: str = "https://zenodo.org/records/17655183/files/DatasetV3.zip?download=1"
     data_dir: Path = Path("./data")
-    image_size: int = 448  # MedSigLIP native resolution
+    image_size: int = 384  # SigLIP native resolution (448 for MedSigLIP)
 
-    # Model - MedSigLIP
-    encoder_name: str = "medsiglip"
-    encoder_pretrained: str = "google/medsiglip-448"
-    encoder_hidden_dim: int = 1152  # SigLIP-Large hidden dim
+    # Model - SigLIP (use MedSigLIP when access granted)
+    # For MedSigLIP: "google/medsiglip-448" (gated, requires access)
+    encoder_name: str = "siglip"
+    encoder_pretrained: str = "google/siglip-so400m-patch14-384"
+    encoder_hidden_dim: int = 1152  # SigLIP-SO400M hidden dim
     projection_dim: int = 256
 
     # Task heads