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Model card auto-generated by SimpleTuner

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  1. README.md +3 -3
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@@ -94,15 +94,15 @@ You may reuse the base model text encoder for inference.
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  ## Training settings
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- - Training epochs: 1
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- - Training steps: 1250
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  - Learning rate: 7e-05
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  - Max grad norm: 0.1
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  - Effective batch size: 3
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  - Micro-batch size: 3
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  - Gradient accumulation steps: 1
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  - Number of GPUs: 1
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- - Prediction type: flow-matching (extra parameters=['shift=3', 'flux_guidance_value=1.0'])
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  - Rescaled betas zero SNR: False
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  - Optimizer: adamw_bf16
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  - Precision: Pure BF16
 
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  ## Training settings
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+ - Training epochs: 2
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+ - Training steps: 1500
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  - Learning rate: 7e-05
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  - Max grad norm: 0.1
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  - Effective batch size: 3
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  - Micro-batch size: 3
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  - Gradient accumulation steps: 1
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  - Number of GPUs: 1
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+ - Prediction type: flow-matching (extra parameters=['shift=2.0', 'flux_guidance_value=1.0'])
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  - Rescaled betas zero SNR: False
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  - Optimizer: adamw_bf16
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  - Precision: Pure BF16