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Run Dossier

Training run for UniFuse

30 metrics · 13,226 train · 0 val

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interrupted Apr 4, 20:02 Duration: 1h 25m Python 3.11.7 src/train.py --config configs/model/novel_metric_fusion_gt_rays.yaml --config configs/model/backbone_dinov2_vitl14.yaml --config configs/data/real_drive_sim_euler_loading.yaml --config configs/training/phase_b_marigold_structure.yaml --init-from /cluster/scratch/drothenpiele/euler_train/unifuse/checkpoints/deterministic-metric-expert-2026-04-04-16-43-02-3cee/checkpoint-epoch-2.pt
lr 2e-4batch 4epochs 10precision automodel weather_metric_system wd 1e-4
ID 62365028 Job metric_diffusion_pty Part gpupr.24h Node eu-a65-06 CPU 8 GPU 1
unifuse/runs/2026-04-04_20-02-46_f3f1
Error
Signal: SIGINT
Metrics 30/30
diag 11
final 3
depth/mae/m
log/radius/l1/raw
xyz/l1/m
mean 2
abs/final/minus/prior
structure/confidence
prior 3
depth/mae/m
log/radius/l1/raw
xyz/l1/m
structure 2
depth/l1/raw
edge/l1/raw
base/minus/prior/l1/raw
final 2
confidence
log/radius
gpu 4
mem 3
total/gb
used/gb
util/pct
util/pct
lr 3
default
lr
structure/expert/heads
prior 2
confidence
log/radius
structure 4
confidence
denoise/mse
depth
edge
depth
total
weather/dehaze
xyz
X-Axis
Y-Scale
Series

Depth

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Diag/Base Minus Prior L1 Raw

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Diag/Final Depth Mae M

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Diag/Final Log Radius L1 Raw

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Diag/Final Xyz L1 M

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Diag/Mean Abs Final Minus Prior

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Diag/Mean Structure Confidence

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Diag/Prior Depth Mae M

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Diag/Prior Log Radius L1 Raw

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Diag/Prior Xyz L1 M

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Diag/Structure Depth L1 Raw

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Diag/Structure Edge L1 Raw

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Final Confidence

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Final Log Radius

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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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Lr/Default

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Lr/Structure Expert Heads

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Prior Confidence

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Prior Log Radius

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Structure Confidence

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Structure Depth

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Structure Edge

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Structure/Denoise Mse

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Total

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Weather/Dehaze

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Xyz

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