Upload gpu_train.sh with huggingface_hub

gpu_train.sh

@@ -110,23 +110,24 @@ CUDA_VISIBLE_DEVICES=0 python3 lora_sft_train.py \
 echo "============================================================"
 echo "  Training complete!"
 echo "  Adapter saved to: Base/out/sft/rag_mcp_lora/final/"
+echo "  Full run folder : Base/out/sft/rag_mcp_lora/"
 echo "  To upload it to Hugging Face, run:"
-echo "  python3 upload_lora_to_hf.py --repo-id ASTERIZER/LUNA-100M --folder Base/out/sft/rag_mcp_lora/final --path-in-repo rag_mcp_lora/final"
+echo "  python3 upload_lora_to_hf.py --repo-id ASTERIZER/LUNA-100M --folder Base/out/sft/rag_mcp_lora --path-in-repo rag_mcp_lora"
 if [ "${UPLOAD_TO_HF:-0}" = "1" ]; then
     echo "  UPLOAD_TO_HF=1 detected. Uploading adapter to Hugging Face..."
     if [ -f "upload_lora_to_hf.py" ]; then
         python3 upload_lora_to_hf.py \
             --repo-id ASTERIZER/LUNA-100M \
-            --folder Base/out/sft/rag_mcp_lora/final \
-            --path-in-repo rag_mcp_lora/final
+            --folder Base/out/sft/rag_mcp_lora \
+            --path-in-repo rag_mcp_lora
     else
         python3 -c "
 import os
 from pathlib import Path
 from huggingface_hub import HfApi
 
-folder = Path('Base/out/sft/rag_mcp_lora/final')
-required = [folder / 'adapter_model.pt', folder / 'adapter_bundle.pt']
+folder = Path('Base/out/sft/rag_mcp_lora')
+required = [folder / 'final' / 'adapter_model.pt', folder / 'final' / 'adapter_bundle.pt']
 missing = [str(path) for path in required if not path.exists()]
 if missing:
     raise FileNotFoundError('Missing expected adapter files: ' + ', '.join(missing))
@@ -137,9 +138,9 @@ api.upload_folder(
     repo_id='ASTERIZER/LUNA-100M',
     repo_type='model',
     folder_path=str(folder),
-    path_in_repo='rag_mcp_lora/final',
+    path_in_repo='rag_mcp_lora',
 )
-print('uploaded_lora url=https://huggingface.co/ASTERIZER/LUNA-100M/tree/main/rag_mcp_lora/final')
+print('uploaded_lora url=https://huggingface.co/ASTERIZER/LUNA-100M/tree/main/rag_mcp_lora')
 "
     fi
 fi