Update README.md

README.md

@@ -16,4 +16,22 @@ datasets:
 metrics:
   - accuracy
   - f1
-library_name: autogluon
+library_name: autogluon
+
+Training Details:
+-The model was trained using AutoGluon's MultiModalPredictor with the following configuration:
+
+-Problem Type: Classification
+-Evaluation Metric: Accuracy
+-Presets: medium_quality
+-Hyperparameters:
+-model.names: ["timm_image"]
+-model.timm_image.checkpoint_name: "resnet18"
+-The training data used was the 'augmented' split of the dataset, with a 80/20 train/test split for tuning.
+
+Evaluation:
+-The model was evaluated on the 'original' split of the dataset.
+
+-Accuracy: 1.0000
+-Weighted F1: 1.0000
+-Note: These results are based on the evaluation performed in the provided Colab notebook.