Update README.md

README.md

@@ -3,4 +3,31 @@ license: apache-2.0
 base_model:
 - google/efficientnet-b0
 pipeline_tag: image-classification
----
+---
+
+Model Description.
+This model is a fine-tuned EfficientNetB0 for classifying brain tumors from MRI scans. It was trained using transfer learning on a publicly available dataset from Kaggle. 
+The model is capable of distinguishing between four classes: pituitary, glioma, meningioma, and no_tumor.
+
+Intended Use.
+This model is intended for non-commercial and research purposes only. It can be used for:
+- Classifying brain tumors in MRI images.
+- Serving as a baseline for further research.
+
+Performance.
+The model was evaluated on a held-out test set and achieved the following results:
+
+Metric	    Score
+Accuracy	99.31%
+Precision	99%
+Recall	    99%
+F1-Score	99%
+
+Training Data.
+The model was trained on the Brain Tumor MRI Dataset available on Kaggle.
+- Dataset Link: https://www.kaggle.com/datasets/masoudnickparvar/brain-tumor-mri-dataset
+
+Training Details
+- Base Model: EfficientNetB0 (pre-trained on ImageNet)
+- Framework: TensorFlow / Keras
+- Training Platform: Google Colaboratory