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Training run for UniFuse

32 metrics · 1,956 train · 0 val

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interrupted Apr 7, 11:54 Duration: 27m 42s 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_b1_structure_crossattn_adapter.yaml --init-from /cluster/scratch/drothenpiele/euler_train/unifuse/checkpoints/marigold-structure-b0-concat-warmup-2026-04-07-00-49-18-935a/checkpoint-epoch-6.pt
lr 3e-5batch 8epochs 3precision automodel weather_metric_system wd 1e-4
ID 62594714 Job metric_diffusion_pty Part gpupr.24h Node eu-a65-07 CPU 8 GPU 1
unifuse/runs/2026-04-07_11-54-33_905b
Error
Signal: SIGINT
Metrics 32/32
depth.train 22
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
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 1
confidence
rgb.train 1
dehaze
sys.train 9
gpu_mem_total_gb
gpu_mem_used_gb
gpu_mem_util_pct
gpu_util_pct
lr
lr.default
lr.structure_expert_context
lr.structure_expert_heads
lr.structure_expert_unet_cross_attention
32 selected
X-Axis
Y-Scale
Series
Group
Namespace

Base Vs Prior

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Delta Vs Prior

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Depth Mae

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Log Radius L1

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Xyz L1

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Depth Mae

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Log Radius L1

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Xyz L1

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Depth L1

↓ kind=diagstage=structure
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Edge L1

↓ kind=diagstage=structure
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Confidence

↑ kind=lossstage=final
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Depth

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Log Radius

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Xyz

↓ meters kind=lossstage=final
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Confidence

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Log Radius

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Confidence

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Denoise Mse

↓ kind=lossstage=structure
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Depth

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Edge

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Total

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Confidence

↑ kind=statstage=structure
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Dehaze

↓ kind=lossstage=weather
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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

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Lr.Structure Expert Heads

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Lr.Structure Expert Unet Cross Attention

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