tanganke/clip-vit-large-patch14_cifar10

Model Card

Model Details

• —Architecture: ViT-Large with patch size 14
• —Training Data: cifar10 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: 0.9557000398635864
• —fine-tuned: 0.9912999868392944