Chart Overlays
Compare this run against its peers
Add peer runs here to layer their train and val traces onto the current metric charts.
external assumed crashed Apr 12, 18:12 Started 20d 19h 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_b_joint_structure.yaml --init-from /cluster/scratch/drothenpiele/euler_train/unifuse/checkpoints/geometry-prompt/checkpoint-epoch-2.ptlr 2e-4batch 4epochs 12precision automodel weather_metric_system wd 1e-4
ID 63135448
unifuse/runs/2026-04-12_18-12-44_043eMetrics 49/49
depth.train 31
diag 12
consolidation 1
delta_vs_prior
final 3
depth_mae
log_radius_l1
xyz_l1
pred 3
depth_mae
log_radius_l1
xyz_l1
prior 3
depth_mae
log_radius_l1
xyz_l1
structure 2
depth_l1
edge_l1
loss 18
consolidation 3
low_frequency
structure_align
structure_align_edge
final 4
confidence
depth
log_radius
xyz
pred 1
log_radius
prior 4
aux_metric_probe
aux_metric_probe_confidence
confidence
log_radius
structure 5
confidence
depth
depth_denoise_mse
edge
rgb_denoise_mse
no stage 1
total
stat 1
confidence
rgb.train 3
clear
confidence
rgb_denoise_mse
sys.train 15
gpu_mem_total_gb
gpu_mem_used_gb
gpu_mem_util_pct
gpu_util_pct
lr
lr.default
lr.default_no_decay
lr.geometry_encoder_adapter
lr.geometry_encoder_adapter_no_decay
lr.joint_structure_expert_heads
lr.joint_structure_expert_heads_no_decay
lr.joint_structure_expert_model
lr.joint_structure_expert_model_no_decay
lr.prompt_encoder
lr.prompt_encoder_no_decay
49 selected
X-Axis
Y-Scale
Series
Group
Namespace
Delta Vs Prior
↓ kind=diagstage=consolidation T
2026-04-12_18-12-44_043e train (smoothed) —
2026-04-12_18-12-44_043e train (raw) —
Depth Mae
↓ meters kind=diagstage=final T
2026-04-12_18-12-44_043e train (smoothed) —
2026-04-12_18-12-44_043e train (raw) —
Log Radius L1
↓ kind=diagstage=final T
2026-04-12_18-12-44_043e train (smoothed) —
2026-04-12_18-12-44_043e train (raw) —
Xyz L1
↓ meters kind=diagstage=final T
2026-04-12_18-12-44_043e train (smoothed) —
2026-04-12_18-12-44_043e train (raw) —
Depth Mae
↓ meters kind=diagstage=pred T
2026-04-12_18-12-44_043e train (smoothed) —
2026-04-12_18-12-44_043e train (raw) —
Log Radius L1
↓ kind=diagstage=pred T
2026-04-12_18-12-44_043e train (smoothed) —
2026-04-12_18-12-44_043e train (raw) —
Xyz L1
↓ meters kind=diagstage=pred T
2026-04-12_18-12-44_043e train (smoothed) —
2026-04-12_18-12-44_043e train (raw) —
Depth Mae
↓ meters kind=diagstage=prior T
2026-04-12_18-12-44_043e train (smoothed) —
2026-04-12_18-12-44_043e train (raw) —
Log Radius L1
↓ kind=diagstage=prior T
2026-04-12_18-12-44_043e train (smoothed) —
2026-04-12_18-12-44_043e train (raw) —
Xyz L1
↓ meters kind=diagstage=prior T
2026-04-12_18-12-44_043e train (smoothed) —
2026-04-12_18-12-44_043e train (raw) —
Depth L1
↓ kind=diagstage=structure T
2026-04-12_18-12-44_043e train (smoothed) —
2026-04-12_18-12-44_043e train (raw) —
Edge L1
↓ kind=diagstage=structure T
2026-04-12_18-12-44_043e train (smoothed) —
2026-04-12_18-12-44_043e train (raw) —
Low Frequency
↓ kind=lossstage=consolidation T
2026-04-12_18-12-44_043e train (smoothed) —
2026-04-12_18-12-44_043e train (raw) —
Structure Align
↓ kind=lossstage=consolidation T
2026-04-12_18-12-44_043e train (smoothed) —
2026-04-12_18-12-44_043e train (raw) —
Structure Align Edge
↓ kind=lossstage=consolidation T
2026-04-12_18-12-44_043e train (smoothed) —
2026-04-12_18-12-44_043e train (raw) —
Confidence
↑ kind=lossstage=final T
2026-04-12_18-12-44_043e train (smoothed) —
2026-04-12_18-12-44_043e train (raw) —
Depth
↓ meters kind=lossstage=final T
2026-04-12_18-12-44_043e train (smoothed) —
2026-04-12_18-12-44_043e train (raw) —
Log Radius
↓ kind=lossstage=final T
2026-04-12_18-12-44_043e train (smoothed) —
2026-04-12_18-12-44_043e train (raw) —
Xyz
↓ meters kind=lossstage=final T
2026-04-12_18-12-44_043e train (smoothed) —
2026-04-12_18-12-44_043e train (raw) —
Log Radius
↓ kind=lossstage=pred T
2026-04-12_18-12-44_043e train (smoothed) —
2026-04-12_18-12-44_043e train (raw) —
Aux Metric Probe
kind=lossstage=prior T
2026-04-12_18-12-44_043e train (smoothed) —
2026-04-12_18-12-44_043e train (raw) —
Aux Metric Probe Confidence
kind=lossstage=prior T
2026-04-12_18-12-44_043e train (smoothed) —
2026-04-12_18-12-44_043e train (raw) —
Confidence
↑ kind=lossstage=prior T
2026-04-12_18-12-44_043e train (smoothed) —
2026-04-12_18-12-44_043e train (raw) —
Log Radius
↓ kind=lossstage=prior T
2026-04-12_18-12-44_043e train (smoothed) —
2026-04-12_18-12-44_043e train (raw) —
Confidence
↑ kind=lossstage=structure T
2026-04-12_18-12-44_043e train (smoothed) —
2026-04-12_18-12-44_043e train (raw) —
Depth
↓ meters kind=lossstage=structure T
2026-04-12_18-12-44_043e train (smoothed) —
2026-04-12_18-12-44_043e train (raw) —
Depth Denoise Mse
kind=lossstage=structure T
2026-04-12_18-12-44_043e train (smoothed) —
2026-04-12_18-12-44_043e train (raw) —
Edge
↓ kind=lossstage=structure T
2026-04-12_18-12-44_043e train (smoothed) —
2026-04-12_18-12-44_043e train (raw) —
Rgb Denoise Mse
kind=lossstage=structure T
2026-04-12_18-12-44_043e train (smoothed) —
2026-04-12_18-12-44_043e train (raw) —
Total
↓ kind=loss T
2026-04-12_18-12-44_043e train (smoothed) —
2026-04-12_18-12-44_043e train (raw) —
Confidence
↑ kind=statstage=structure T
2026-04-12_18-12-44_043e train (smoothed) —
2026-04-12_18-12-44_043e train (raw) —
Clear
kind=lossstage=structure T
2026-04-12_18-12-44_043e train (smoothed) —
2026-04-12_18-12-44_043e train (raw) —
Confidence
↑ kind=lossstage=structure T
2026-04-12_18-12-44_043e train (smoothed) —
2026-04-12_18-12-44_043e train (raw) —
Rgb Denoise Mse
kind=lossstage=structure T
2026-04-12_18-12-44_043e train (smoothed) —
2026-04-12_18-12-44_043e train (raw) —
Gpu Mem Total Gb
T
2026-04-12_18-12-44_043e train (smoothed) —
2026-04-12_18-12-44_043e train (raw) —
Gpu Mem Used Gb
T
2026-04-12_18-12-44_043e train (smoothed) —
2026-04-12_18-12-44_043e train (raw) —
Gpu Mem Util Pct
T
2026-04-12_18-12-44_043e train (smoothed) —
2026-04-12_18-12-44_043e train (raw) —
Gpu Util Pct
T
2026-04-12_18-12-44_043e train (smoothed) —
2026-04-12_18-12-44_043e train (raw) —
Lr
T
2026-04-12_18-12-44_043e train (smoothed) —
2026-04-12_18-12-44_043e train (raw) —
Lr.Default
T
2026-04-12_18-12-44_043e train (smoothed) —
2026-04-12_18-12-44_043e train (raw) —
Lr.Default No Decay
T
2026-04-12_18-12-44_043e train (smoothed) —
2026-04-12_18-12-44_043e train (raw) —
Lr.Geometry Encoder Adapter
T
2026-04-12_18-12-44_043e train (smoothed) —
2026-04-12_18-12-44_043e train (raw) —
Lr.Geometry Encoder Adapter No Decay
T
2026-04-12_18-12-44_043e train (smoothed) —
2026-04-12_18-12-44_043e train (raw) —
Lr.Joint Structure Expert Heads
T
2026-04-12_18-12-44_043e train (smoothed) —
2026-04-12_18-12-44_043e train (raw) —
Lr.Joint Structure Expert Heads No Decay
T
2026-04-12_18-12-44_043e train (smoothed) —
2026-04-12_18-12-44_043e train (raw) —
Lr.Joint Structure Expert Model
T
2026-04-12_18-12-44_043e train (smoothed) —
2026-04-12_18-12-44_043e train (raw) —
Lr.Joint Structure Expert Model No Decay
T
2026-04-12_18-12-44_043e train (smoothed) —
2026-04-12_18-12-44_043e train (raw) —
Lr.Prompt Encoder
T
2026-04-12_18-12-44_043e train (smoothed) —
2026-04-12_18-12-44_043e train (raw) —
Lr.Prompt Encoder No Decay
T
2026-04-12_18-12-44_043e train (smoothed) —
2026-04-12_18-12-44_043e train (raw) —
No output snapshots found for this run.
Outputs are generated during training and saved to outputs/epoch_N_step_M/ directories.
Run-Owned Exports
Publish direct filesystem paths here.
Published
No run-owned exports are published yet.
Raw Artifacts
Run-owned exports are typically direct paths, so there are no captured artifacts to publish from here.