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@@ -29,7 +29,7 @@ Our approach leverages *CLIP* as a prior for perceptual tasks, inspired by cogni
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  - *Architecture*: CLIP Vision Encoder (ViT-L/14) with *LoRA adaptation*
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  - *Loss Function*: Mean Squared Error (MSE) Loss for memorability prediction
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  - *Optimizer*: AdamW
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- - *Learning Rate*: 0.00005
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  - *Batch Size*: 32
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  ## Performance
 
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  - *Architecture*: CLIP Vision Encoder (ViT-L/14) with *LoRA adaptation*
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  - *Loss Function*: Mean Squared Error (MSE) Loss for memorability prediction
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  - *Optimizer*: AdamW
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+ - *Learning Rate*: 5e-05
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  - *Batch Size*: 32
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  ## Performance