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Training run for UniFuse

58 metrics · 7,001 train · 78 val

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interrupted Apr 6, 22:58 Duration: 1h 40m 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-2026-04-04-21-39-48-a844/checkpoint-epoch-13.pt
lr 2e-4batch 8epochs 10precision automodel weather_metric_system wd 1e-4
ID 62520041 Job metric_diffusion_pty Part gpupr.24h Node eu-ts-02 CPU 8 GPU 1
unifuse/runs/2026-04-06_22-58-42_d576
Error
Signal: SIGINT
Metrics 58/58
diag 10
consolidation 2
base/vs/prior
delta/vs/prior
final 3
depth/mae
log/radius/l1
xyz/l1
prior 3
depth/mae
log/radius/l1
xyz/l1
structure 2
depth/l1
edge/l1
final 7
depth 4
abs/rel
depth
mae
rmse
confidence
log/radius
xyz
gpu 4
mem 3
total/gb
used/gb
util/pct
util/pct
lr 8
structure/expert 6
unet 4
conv/in
mid
out
up
context
heads
default
lr
prior 5
depth 3
abs/rel
mae
rmse
confidence
log/radius
stat 12
data 3
mean/depth
median/depth
valid/fraction
flag 2
refiner/enabled
structure/enabled
structure 3
pred 2
finite/fraction
has/nonfinite
confidence
final/confidence
prior/confidence
ray/source/is/predicted
weather/visibility
structure 8
mode/is 2
sampled
teacher/forced
confidence
denoise/mse
depth
edge
had/nonfinite
used/fp32/sampler
weather 3
image 2
mae
psnr
dehaze
total
58 selected
X-Axis
Y-Scale
Series

Diag/Consolidation/Base Vs Prior

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Diag/Consolidation/Delta Vs Prior

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Diag/Final/Depth Mae

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Diag/Final/Log Radius L1

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Diag/Final/Xyz L1

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Diag/Prior/Depth Mae

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Diag/Prior/Log Radius L1

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Diag/Prior/Xyz L1

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Diag/Structure/Depth L1

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Diag/Structure/Edge L1

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Final/Confidence

T
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Final/Depth

T
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Final/Depth Abs Rel

V
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Final/Depth Mae

V
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Final/Depth Rmse

V
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Final/Log Radius

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Final/Xyz

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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 Context

T
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Lr/Structure Expert Heads

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Lr/Structure Expert Unet Conv In

T
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Lr/Structure Expert Unet Mid

T
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Lr/Structure Expert Unet Out

T
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Lr/Structure Expert Unet Up

T
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Prior/Confidence

T
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Prior/Depth Abs Rel

V
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Prior/Depth Mae

V
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Prior/Depth Rmse

V
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Prior/Log Radius

T
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Stat/Data/Mean Depth

V
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Stat/Data/Median Depth

V
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Stat/Data/Valid Fraction

V
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Stat/Final/Confidence

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Stat/Flag/Refiner Enabled

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Stat/Flag/Structure Enabled

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Stat/Prior/Confidence

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Stat/Ray/Source Is Predicted

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Stat/Structure/Confidence

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Stat/Structure/Pred Finite Fraction

V
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Stat/Structure/Pred Has Nonfinite

V
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Stat/Weather/Visibility

V
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Structure/Confidence

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Structure/Denoise Mse

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Structure/Depth

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Structure/Edge

T
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Structure/Had Nonfinite

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Structure/Mode Is Sampled

V
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Structure/Mode Is Teacher Forced

V
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Structure/Used Fp32 Sampler

V
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Total

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Weather/Dehaze

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Weather/Image Mae

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Weather/Image Psnr

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No output snapshots found for this run.

Outputs are generated during training and saved to outputs/epoch_N_step_M/ directories.

epoch 1 / step 800 Checkpoint #2398
4/6/2026, 9:37:40 PM
/cluster/scratch/drothenpiele/euler_train/unifuse/checkpoints/marigold-structure-expert-2026-04-06-22-58-42-d576/checkpoint-epoch-1.pt
epoch 2 / step 1600 Checkpoint #2408
4/7/2026, 9:31:54 AM
/cluster/scratch/drothenpiele/euler_train/unifuse/checkpoints/marigold-structure-expert-2026-04-06-22-58-42-d576/checkpoint-epoch-2.pt

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