Update README.md

README.md

@@ -16,7 +16,6 @@ allow_mount: true
 This project implements a deep reinforcement learning framework to solve the Vehicle Routing Problem with Time Windows (VRPTW) using Transformer-based models. It also integrates Google OR-Tools as a classical baseline for comparison.
 
 
-
 📁 Project Structure
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@@ -47,4 +46,16 @@ A decoding policy that uses attention for routing decisions
 
 An actor-critic reinforcement learning strategy with a learnable baseline
 
-Beam Search and Greedy decoding options
+Beam Search and Greedy decoding options
+
+💾 Data Persistence
+
+This Space writes logs, model checkpoints, and training history to the `/data` directory.
+
+Make sure your `run.py` and `inference.py` use `/data/` for saving/loading models and results.
+
+Example:
+```python
+with open("/data/train_results.txt", "a") as f:
+    f.write(...)
+torch.save(model.state_dict(), "/data/model_state_dict.pt")