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vivekdhayaal/vit-cvt-cifar10-experiments
vit-cvt-cifar10-experiments is a machine learning model from vivekdhayaal. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This repository contains the experimental results, training curves, and attention map visualizations for a custom implementation of a Vision Transformer (ViT) and Convolutional Vision Transformer (CvT) trained from sc…
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Updated Apr 19, 2026
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From the Hugging Face model README
This repository contains the experimental results, training curves, and attention map visualizations for a custom implementation of a Vision Transformer (ViT) and Convolutional Vision Transformer (CvT) trained from scratch on CIFAR-10.
code/: Custom PyTorch implementations of Scaled Dot-Product Attention, Transformer Blocks, and standard/convolutional patch embeddings.training_curves/: Loss and accuracy plots covering patch size variations, hyperparameter tuning, data augmentations, and positional embedding ablations.visualizations/: Attention maps across heads, Attention Rollout flow, and Positional Embedding cosine similarity matrices.