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@@ -47,9 +47,8 @@ against traditional/manual augmentation techniques for CNN classification.
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  #### Training Hyperparameters
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- ===========================
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- PIXEL DDPM (Baseline Model)
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- ===========================================================
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  • Optimization Strategy:
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  - Optimizer: AdamW
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  - Learning Rate: 2e-4 (with Cosine Annealing)
@@ -64,9 +63,8 @@ against traditional/manual augmentation techniques for CNN classification.
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  - EMA: Disabled
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  - Diffusion: 1000 Timesteps (Linear Schedule)
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- ===========================
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- LATENT DDPM (LDM)
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- ===========================================================
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  • Optimization Strategy:
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  - Optimizer: AdamW
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  - Learning Rate: 1e-4 (with Cosine Annealing)
 
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  #### Training Hyperparameters
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+ ==========
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+ PIXEL DDPM (Baseline Model) ===========================================================
 
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  • Optimization Strategy:
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  - Optimizer: AdamW
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  - Learning Rate: 2e-4 (with Cosine Annealing)
 
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  - EMA: Disabled
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  - Diffusion: 1000 Timesteps (Linear Schedule)
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+ ==========
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+ LATENT DDPM (LDM) ===========================================================
 
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  • Optimization Strategy:
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  - Optimizer: AdamW
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  - Learning Rate: 1e-4 (with Cosine Annealing)