Create README.md

README.md

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+---
+datasets:
+- imagenet-1k
+pipeline_tag: image-classification
+---
+
+## Model Architecture Details
+
+### Architecture Overview
+
+- **Architecture**: ViT Small
+
+### Configuration
+
+| Attribute            | Value          |
+|----------------------|----------------|
+| Patch Size           | 32             |
+| Image Size           | 224            |
+| Num Layers           | 3              |
+| Attention Heads      | 4              |
+| Objective Function   | CrossEntropy   |
+
+### Performance
+
+- **Validation Accuracy (Top 5)**: 0.4179
+- **Validation Accuracy**: 0.2148
+
+### Additional Resources
+
+The model was trained using the library: [ViT-Prisma](https://github.com/soniajoseph/ViT-Prisma).\
+For detailed metrics, plots, and further analysis of the model's training process, refer to the [training report](https://wandb.ai/perceptual-alignment/Imagenet/reports/ViT-Small-Imagenet-training-report--Vmlldzo3MDk3MTM5).