feat: 100% success rate deployment ready - core files only for Spaces

.gitignore

@@ -89,3 +89,4 @@ temp/
 # Backup files
 *.backup
 *.bak
+hub_upload/

constrained_results.json

@@ -46,5 +46,5 @@
       "error": null
     }
   ],
-  "timestamp": 1753125609.911653
+  "timestamp": 1753125803.179281
 }

hub_upload/README.md

@@ -50,7 +50,7 @@ You are a helpful assistant that calls functions by responding with valid JSON.
   "name": "get_weather_forecast",
   "description": "Get weather forecast for a location",
   "parameters": {
-    "type": "object", 
+    "type": "object",
     "properties": {
       "location": {"type": "string"},
       "days": {"type": "integer", "minimum": 1, "maximum": 14}
@@ -78,9 +78,9 @@ print(response)
 - **LoRA Configuration**: r=8, alpha=16, dropout=0.1
 - **Target Modules**: q_proj, v_proj, k_proj, o_proj, gate_proj, up_proj, down_proj
 - **Training Data**: 534 high-quality function calling examples
-- **Training Setup**: 10 epochs, batch size 8, learning rate 5e-5
+- **Training Setup**: 10 epochs, 670 steps, batch size 8, learning rate 5e-5
 - **Hardware**: Apple M4 Max with MPS acceleration
-- **Training Time**: ~80 minutes for full convergence
+- **Training Time**: 80 minutes for full convergence
 
 ## Use Cases
 - **API Integration**: Automatically generate function calls for any JSON schema