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clip-vit-large-patch14_mnist
tanganke/clip-vit-large-patch14_mnist
clip-vit-large-patch14_mnist is a feature extraction model from tanganke. Use it when you need embeddings to search or compare text. It is set up for transformers.
- Architecture: ViT-Large with patch size 14 - Training Data: MNIST dataset
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At a glance
- Task
- Feature Extraction
- Library
- transformers
- Model type
- clip_vision_model
- Access
- Public
- Created
- Apr 28, 2024
- Updated
- Apr 28, 2024
- SHA
- 721ec596
Base models
Datasets
Model card
From the Hugging Face model README
Model Card
Model Details
- Architecture: ViT-Large with patch size 14
- Training Data: MNIST dataset
Training Details
Adam Optimizer with a constant learning rate 1e-5 for 4000 steps training (batch_size=32). Only the vision encoder is fine-tuned.
Evaluation Results
- pre-trained: 0.7602328658103943
- fine-tuned: 0.9975429177284241
- Task
- Feature Extraction
- Library
- transformers
- Type
- clip_vision_model
- Created
- Apr 28, 2024
- Updated
- Apr 28, 2024