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Training run for UniFuse

60 metrics · 2,760 train · 40 val

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running Apr 8, 10:04 Started 25d 3h ago 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_b0_metric_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 5e-5batch 8epochs 8precision automodel weather_metric_system wd 1e-4
ID 62691977 Job metric_diffusion_pty Part gpupr.24h Node eu-ts-01 CPU 8 GPU 1
unifuse/runs/2026-04-08_10-04-22_4182
Metrics 60/60
depth.train 38
diag 22
consolidation 2
base_vs_prior
delta_vs_prior
final 5
depth_abs_rel
depth_mae
depth_rmse
log_radius_l1
xyz_l1
prior 5
depth_abs_rel
depth_mae
depth_rmse
log_radius_l1
xyz_l1
structure 10
depth_l1
edge_l1
eval_ensemble_size
first_nonfinite_step_index
first_nonfinite_timestep
had_nonfinite
mode_is_sampled
mode_is_teacher_forced
sampled_debug_enabled
used_fp32_sampler
loss 11
final 4
confidence
depth
log_radius
xyz
prior 2
confidence
log_radius
structure 4
confidence
denoise_mse
depth
edge
no stage 1
total
stat 5
final 1
confidence
prior 1
confidence
structure 3
confidence
pred_finite_fraction
pred_has_nonfinite
rgb.train 4
diag 2
image_mae
image_psnr
loss 1
dehaze
stat 1
visibility
sys.train 18
data_mean_depth
data_median_depth
data_valid_fraction
flag_refiner_enabled
flag_structure_enabled
gpu_mem_total_gb
gpu_mem_used_gb
gpu_mem_util_pct
gpu_util_pct
lr
lr.structure_expert_heads
lr.structure_expert_unet_conv_in
lr.structure_expert_unet_cross_attention
lr.structure_expert_unet_down
lr.structure_expert_unet_mid
lr.structure_expert_unet_out
lr.structure_expert_unet_up
ray_source_is_predicted
X-Axis
Y-Scale
Series
Group
Namespace

Base Vs Prior

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Delta Vs Prior

kind=diagstage=consolidation
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Depth Abs Rel

kind=diagstage=final
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Depth Mae

meters kind=diagstage=final
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Depth Rmse

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Log Radius L1

kind=diagstage=final
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Xyz L1

meters kind=diagstage=final
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Depth Abs Rel

kind=diagstage=prior
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Depth Mae

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Depth Rmse

meters kind=diagstage=prior
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Log Radius L1

kind=diagstage=prior
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Xyz L1

meters kind=diagstage=prior
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Depth L1

kind=diagstage=structure
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Edge L1

kind=diagstage=structure
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Eval Ensemble Size

kind=diagstage=structure
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First Nonfinite Step Index

kind=diagstage=structure
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First Nonfinite Timestep

kind=diagstage=structure
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Had Nonfinite

kind=diagstage=structure
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Mode Is Sampled

kind=diagstage=structure
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Mode Is Teacher Forced

kind=diagstage=structure
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Sampled Debug Enabled

kind=diagstage=structure
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Used Fp32 Sampler

kind=diagstage=structure
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Confidence

kind=lossstage=final
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Depth

meters kind=lossstage=final
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Log Radius

kind=lossstage=final
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Xyz

meters kind=lossstage=final
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Confidence

kind=lossstage=prior
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Log Radius

kind=lossstage=prior
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Confidence

kind=lossstage=structure
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Denoise Mse

kind=lossstage=structure
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Depth

meters kind=lossstage=structure
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Edge

kind=lossstage=structure
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Total

kind=loss
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Confidence

kind=statstage=final
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Confidence

kind=statstage=prior
V
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Confidence

kind=statstage=structure
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Pred Finite Fraction

kind=statstage=structure
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Pred Has Nonfinite

kind=statstage=structure
V
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Image Mae

kind=diagstage=weather
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Image Psnr

dB kind=diagstage=weather
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Dehaze

kind=lossstage=weather
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Visibility

kind=statstage=weather
V
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Data Mean Depth

V
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Data Median Depth

V
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Data Valid Fraction

V
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Flag Refiner Enabled

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Flag Structure Enabled

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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.Structure Expert Heads

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Lr.Structure Expert Unet Conv In

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Lr.Structure Expert Unet Cross Attention

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Lr.Structure Expert Unet Down

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Lr.Structure Expert Unet Mid

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Lr.Structure Expert Unet Out

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Lr.Structure Expert Unet Up

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Ray Source Is Predicted

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