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Run Dossier

Training run for UniFuse

29 metrics · 1,680 train · 21 val

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running Apr 3, 17:07 Started 29d 20h ago Python 3.11.7 src/train.py --config configs/model/coarse_diffusion_gt_rays.yaml --config configs/training/phase1_coarse.yaml --config configs/training/stage1_oracle_prior.yaml --config configs/data/real_drive_sim_euler_loading.yaml
lr 0.001000batch 8epochs 40precision automodel weather_metric_system seed 13wd 1e-4
ID 62239247 Job metric_diffusion_pty Part gpupr.24h Node eu-a65-07 CPU 8 GPU 1
unifuse/runs/2026-04-03_17-07-33_088a
Metrics 29/29
coarse 3
abs/rel
mae
rmse
dehaze/image 2
mae
psnr
final 3
abs/rel
mae
rmse
gpu 4
mem 3
total/gb
used/gb
util/pct
util/pct
mean 4
anchor/strength
confidence
prior/confidence
visibility
prior 5
abs/rel
confidence
log/radius
mae
rmse
weather 2
dehaze
smoothness
depth
lr
ray/source/is/predicted
refiner/enabled
total
xyz
X-Axis
Y-Scale
Series

Coarse Abs Rel

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Coarse Mae

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Coarse Rmse

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Dehaze Image Mae

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Dehaze Image Psnr

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Depth

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Final Abs Rel

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Final Mae

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Final Rmse

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Gpu Mem Total Gb

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Gpu Mem Used Gb

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Gpu Mem Util Pct

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Gpu Util Pct

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Lr

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Mean Anchor Strength

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Mean Confidence

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Mean Prior Confidence

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Mean Visibility

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Prior Abs Rel

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Prior Confidence

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Prior Log Radius

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Prior Mae

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Prior Rmse

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Ray Source Is Predicted

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Refiner Enabled

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Total

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Weather/Dehaze

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Weather/Smoothness

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Xyz

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