tanganke
/

clip-vit-base-patch32_kmnist

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: 0.09950000047683716
fine-tuned: 0.9822999835014343

Downloads last month: 69

Safetensors

Model size

87.5M params

Tensor type

F32

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Base model

openai/clip-vit-base-patch32

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Dataset used to train tanganke/clip-vit-base-patch32_kmnist