Uploading results 🚀

.gitattributes

@@ -33,3 +33,8 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+seg/learned/visualizations/sample_0.png filter=lfs diff=lfs merge=lfs -text
+seg/learned/visualizations/sample_1.png filter=lfs diff=lfs merge=lfs -text
+seg/learned/visualizations/sample_2.png filter=lfs diff=lfs merge=lfs -text
+seg/learned/visualizations/sample_3.png filter=lfs diff=lfs merge=lfs -text
+seg/learned/visualizations/sample_4.png filter=lfs diff=lfs merge=lfs -text

seg/learned/best_segformer_lora.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7d093592bd3230fc9e02a147cd60e68f23ee1306c03199e2db8c1080b02beaed
+size 339334870

seg/learned/evaluation.json

@@ -0,0 +1,4 @@
+{
+    "pixel_accuracy": 76.35689659118653,
+    "mean_iou": 35.15215707386181
+}

seg/pushToHuggingFace.py

@@ -0,0 +1,23 @@
+from huggingface_hub import create_repo, upload_folder
+import os
+
+# Set your Hugging Face repo details here
+repo_id = "Jagadeesh9580/unlearn"  # 👈 update this if needed
+local_folder = "./results"          # Local folder to push
+repo_type = "model"                 # It's a model repo
+
+# Check if folder exists
+if not os.path.exists(local_folder):
+    raise ValueError(f"Local folder '{local_folder}' does not exist!")
+
+
+# 2. Upload the folder
+upload_folder(
+    folder_path=local_folder,
+    path_in_repo="seg",        # Inside Hugging Face repo -> under /results
+    repo_id=repo_id,
+    repo_type=repo_type,
+    commit_message="Uploading results 🚀",
+)
+
+print(f"✅ Successfully pushed '{local_folder}' to Hugging Face repo '{repo_id}'!")