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snacks_classifier
anggtpd/snacks_classifier
snacks_classifier is a image classification model from anggtpd. Use it when you need a label for an image. It is set up for transformers. The card lists the license as apache-2.0.
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the imagefolder dataset. It achieves the following results on the evaluation set: - Loss: 0.0090 - Accuracy: 0.8908
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At a glance
- Task
- Image Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- vit
- Access
- Public
- Created
- Oct 3, 2023
- Updated
- Oct 4, 2023
- SHA
- 1075a199
Datasets
Model card
From the Hugging Face model README
snacks_classifier
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.0090
- Accuracy: 0.8908
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Oct 3, 2023
- Updated
- Oct 4, 2023