Prisma-Multimodal/ImageNet-Tiny-Attention-and-MLP-Patch16

Model Architecture Details

Architecture Overview

• Architecture: ViT Tiny

Configuration

Attribute	Value
Patch Size	16
Image Size	224
Num Layers	1
Attention Heads	4
Objective Function	CrossEntropy

Performance

• Validation Accuracy (Top 5): 0.33
• Validation Accuracy: 0.16

Additional Resources

The model was trained using the library: ViT-Prisma.
For detailed metrics, plots, and further analysis of the model's training process, refer to the training report.