tanganke
/

clip-vit-base-patch16_cifar100

clip_vision_model

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Model Card

Training Details

Adam Optimizer with a constant learning rate 1e-5 for 4000 steps training (batch_size=128). Only the vision encoder is fine-tuned.

Evaluation Results

Test set accuracy:

pre-trained: 0.6632999777793884
fine-tuned: 0.8877999782562256

Downloads last month: 21

Safetensors

Model size

85.8M params

Tensor type

F32

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Base model

openai/clip-vit-base-patch16

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Dataset used to train tanganke/clip-vit-base-patch16_cifar100