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tanganke
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clip-vit-base-patch16_rendered-sst2

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clip_vision_model
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Training Details

Adam Optimizer with a constant learning rate 5e-6 for 4000 steps training (batch_size=128). Only the vision encoder is fine-tuned.

Evaluation Results

Test set accuracy:

  • pre-trained: 0.6057111620903015
  • fine-tuned: 0.7572762370109558
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Dataset used to train tanganke/clip-vit-base-patch16_rendered-sst2