tanganke/clip-vit-large-patch14_mnist

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