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running Apr 11, 15:14 Started 202d 12h 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.yamllr 0.001000batch 8epochs 20precision automodel weather_metric_system seed 13wd 1e-4
ID 63048210
unifuse/runs/2026-04-11_15-14-07_3b52Metrics 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
27 selected
X-Axis
Y-Scale
Series
Group
Namespace
Delta Vs Prior
↓ kind=diagstage=consolidation T
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Depth Mae
↓ meters kind=diagstage=final T
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Log Radius L1
↓ kind=diagstage=final T
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Xyz L1
↓ meters kind=diagstage=final T
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Depth Mae
↓ meters kind=diagstage=prior T
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Log Radius L1
↓ kind=diagstage=prior T
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Xyz L1
↓ meters kind=diagstage=prior T
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Confidence
↑ kind=lossstage=final T
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Depth
↓ meters kind=lossstage=final T
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Log Radius
↓ kind=lossstage=final T
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Xyz
↓ meters kind=lossstage=final T
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Log Radius
↓ kind=lossstage=pred T
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Aux Metric Probe
kind=lossstage=prior T
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Aux Metric Probe Confidence
kind=lossstage=prior T
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Confidence
↑ kind=lossstage=prior T
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2026-04-11_15-14-07_3b52 train (raw) —
Log Radius
↓ kind=lossstage=prior T
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Total
↓ kind=loss T
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Smoothness
↓ kind=lossstage=weather T
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Gpu Mem Total Gb
T
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Gpu Mem Used Gb
T
2026-04-11_15-14-07_3b52 train (smoothed) —
2026-04-11_15-14-07_3b52 train (raw) —
Gpu Mem Util Pct
T
2026-04-11_15-14-07_3b52 train (smoothed) —
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Gpu Util Pct
T
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Lr
T
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Lr.Default
T
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Lr.Fine Geometry Head
T
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Lr.Geometry Encoder Adapter
T
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Lr.Prompt Encoder
T
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2026-04-11_15-14-07_3b52 train (raw) —
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