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ImageNet-base-Attention-and-MLP-Patch16 – AI Model by Prisma-Multimodal | AlphaNeural AI
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Prisma-Multimodal
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ImageNet-base-Attention-and-MLP-Patch16
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image-classification
imagenet-1k
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Model Architecture Details
Architecture Overview
Architecture
: ViT Base
Configuration
Attribute
Value
Patch Size
32
Image Size
224
Num Layers
2
Attention Heads
4
Objective Function
CrossEntropy
Performance
Validation Accuracy (Top 5)
: 0.44
Validation Accuracy
: 0.23
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
.
