update model card: best quick_fid_4096=50.335258 step=100000
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README.md
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- jepa
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# Soft-JEPA-Flow (
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This repository stores checkpoints automatically uploaded from training.
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- JEPA branch: disabled in baseline mode.
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## Training Objective
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- Mode: `
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- Objective: L_total = L_gen (rectified-flow velocity prediction objective).
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- Optimizer: `
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- Timestep schedule: `
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## Metrics
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- Best metric key: `quick_fid_4096`
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- Best metric value: `
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- Best checkpoint step: `
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## Upload Timing (Automatic)
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- Upload policy: upload whenever a **new best metric** is observed.
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- Upload timestamp (UTC): `20260310-
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- Run name: `
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- Path for this artifact: `
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## Evaluation Notes
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- FID pipeline uses latent decode with `stabilityai/sd-vae-ft-mse`, then InceptionV3 features.
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- jepa
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---
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# Soft-JEPA-Flow (baseline_run_5)
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This repository stores checkpoints automatically uploaded from training.
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- JEPA branch: disabled in baseline mode.
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## Training Objective
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- Mode: `baseline`
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- Objective: L_total = L_gen (rectified-flow velocity prediction objective).
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- Optimizer: `adamw` (lr=`0.0001`, beta1=`0.9`, beta2=`0.99`, weight_decay=`0.0`)
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- Timestep schedule: `lognormal` (mean=`-0.4`, std=`1.0`)
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## Metrics
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- Best metric key: `quick_fid_4096`
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- Best metric value: `50.335258`
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- Best checkpoint step: `100000`
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## Upload Timing (Automatic)
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- Upload policy: upload whenever a **new best metric** is observed.
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- Upload timestamp (UTC): `20260310-113201-UTC`
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- Run name: `baseline_run_5`
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- Path for this artifact: `baseline_run_5/best/step_100000_20260310-113201-UTC`
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## Evaluation Notes
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- FID pipeline uses latent decode with `stabilityai/sd-vae-ft-mse`, then InceptionV3 features.
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