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clip-vit-large-patch14_svhn – AI Model by tanganke | AlphaNeural AI

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tanganke/
clip-vit-large-patch14_svhn

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clip_vision_model

feature-extraction

openai/clip-vit-large-patch14

endpoints_compatible

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Model Card

Model Details

Architecture: ViT-Large with patch size 14
Training Data: SVHN 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: 0.5881173014640808
fine-tuned: 0.9790836572647095