ISxOdin/vit-base-oxford-iiit-pets

Image Classification·ISxOdin· 134.6K· 1

transformers apache-2.0 Image Classification 85.8M params base_model:google/vit-base-patch16-224base_model:finetune:google/vit-base-patch16-224license:apache-2.0region:us

This model is a fine-tuned version of google/vit-base-patch16-224 on the pcuenq/oxford-pets dataset. It achieves the following results on the evaluation set: - Loss: 0.1924 - Accuracy: 0.9445

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# pull & run locally
pip install mlforge-sdk && mlforge pull ISxOdin/vit-base-oxford-iiit-pets

Model details

Task

Image Classification

Provider

ISxOdin

Framework

transformers

Parameters

85.8M

Size

1.6 GB

License

apache-2.0

Downloads

134.6K

Likes

Updated

2025-04-11

About ISxOdin/vit-base-oxford-iiit-pets

This model is a fine-tuned version of google/vit-base-patch16-224 on the pcuenq/oxford-pets dataset. It achieves the following results on the evaluation set: - Loss: 0.1924 - Accuracy: 0.9445

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