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Run Dossier

Training run for UniFuse

27 metrics · 725 train · 0 val

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running Apr 11, 15:14 Started 21d 22h ago Python 3.11.7 src/train.py --config configs/model/inverted_joint_metric.yaml --config configs/model/backbone_dinov2_vitl14.yaml --config configs/data/real_drive_sim_euler_loading.yaml --config configs/training/phase_a_geometry_prompt.yaml
lr 0.001000batch 8epochs 20precision automodel weather_metric_system seed 13wd 1e-4
ID 63048210
unifuse/runs/2026-04-11_15-14-07_3b52
Metrics 27/27
depth.train 17
diag 7
consolidation 1
delta_vs_prior
final 3
depth_mae
log_radius_l1
xyz_l1
prior 3
depth_mae
log_radius_l1
xyz_l1
loss 10
final 4
confidence
depth
log_radius
xyz
pred 1
log_radius
prior 4
aux_metric_probe
aux_metric_probe_confidence
confidence
log_radius
no stage 1
total
rgb.train 1
smoothness
sys.train 9
gpu_mem_total_gb
gpu_mem_used_gb
gpu_mem_util_pct
gpu_util_pct
lr
lr.default
lr.fine_geometry_head
lr.geometry_encoder_adapter
lr.prompt_encoder
X-Axis
Y-Scale
Series
Group
Namespace

Delta Vs Prior

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Depth Mae

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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 Mae

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Log Radius L1

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Xyz L1

meters kind=diagstage=prior
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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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Log Radius

kind=lossstage=pred
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Aux Metric Probe

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Aux Metric Probe Confidence

kind=lossstage=prior
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Confidence

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Log Radius

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Total

kind=loss
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Smoothness

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.Fine Geometry Head

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Lr.Geometry Encoder Adapter

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Lr.Prompt Encoder

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