PraneetNeuro/ImageNet-Small-Attention-and-MLP-Patch32

Model

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Mar 10, 2024

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image-classification

README

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.
For detailed metrics, plots, and further analysis of the model's training process, refer to the training report.

Contributors

PraneetNeuro

10 commits

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README

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.
For detailed metrics, plots, and further analysis of the model's training process, refer to the training report.