CLIP-ViT-L/14 on the eight image classification tasks
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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
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