Add README.md

README.md

@@ -53,6 +53,21 @@ We train a compact image classifier to predict whether an image **is a tomato (1
   "batch_size": 16
 }
 ```
+
+## Results on Held out Test
+accuracy: 0.83, f1: 0.80
+
+## Training curves and Early Stopping
+Validation F1 was tracked each epoch with patience = 6. Training stopped once performance plateaued, preventing overfitting.
+
+## Reproducability 
+- Seed: 42
+- Python: 3.12
+- PyTorch: 2.4.1
+- TorchVision: 0.19.1
+- Optuna: 4.0.0
+- Compute: Google Colab GPU (T4)
+
 ## Limitations & Known Failure Modes
 - Extremely small dataset → risk of overfitting and unstable metrics.
 - Backgrounds and lighting variations can bias predictions.