Update README.md

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

README.md

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-license: apache-2.0
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+---
+license: apache-2.0
+base_model:
+- google/efficientnet-b0
+pipeline_tag: image-classification
+---