r2s-full-v5-path-7a72de9-12766043-47646604
completed —
Hypothesis
Trained on the 2,681 family-disjoint training icons, the 8.9M-parameter render-to-program model transcribes held-out validation renders better than retrieving the closest training icon. Pass requires all three: (1) mean 72 px pixel error below the nearest-training-icon baseline with the paired 95% interval on the reduction excluding zero; (2) CLIP top-1 on Gate N's 32 validation icons at or above OmniSVG 4B zero-shot, 0.609; (3) median single-icon latency on the RTX 4080 under 500 ms.
Visual output
Written result
Hypothesis. Trained on the 2,681 family-disjoint training icons, the 8.9M-parameter render-to-program model transcribes held-out validation renders better than retrieving the closest training icon. Pass requires all three: (1) mean 72 px pixel error below the nearest-training-icon baseline with the paired 95% interval on the reduction excluding zero; (2) CLIP top-1 on Gate N's 32 validation icons at or above OmniSVG 4B zero-shot, 0.609; (3) median single-icon latency on the RTX 4080 under 500 ms.
Result
| measure | value |
|---|---|
| icons evaluated | 339 (primary/validation) |
| model pixel error, mean [95% CI] | 0.0978 [0.0921, 0.1035] |
| model pixel error, median | 0.0967 |
| exact program rate | 0.015 |
| rendered rate | 1.000 |
| blank canvas pixel error | 0.1720 |
| nearest training icon pixel error | 0.0897 [0.0848, 0.0947] |
| error reduction vs nearest icon | -0.0081 [-0.0124, -0.0037] |
| icons where model beats nearest icon | 153 |
| CLIP top-1, model greedy (32 Gate N icons) | 0.438 |
| CLIP top-1, nearest training icon | 0.344 |
| CLIP top-1, OmniSVG 4B zero-shot (Gate N) | 0.609 |
Resources
| measure | value |
|---|---|
| device | NVIDIA GeForce RTX 4080 |
| parameters | 9,025,826 |
| train seconds | 1777 |
| peak VRAM GiB | 4.341529369354248 |
| latency ms/icon, batch 1, median | 1105.0 |
| latency ms/icon, batch 1, p95 | 1109.7 |
| throughput ms/icon, batch 64 | 76.6 |
| model calls per icon (decoding) | 562.0 |
| torch / CUDA | 2.14.0a0+4fdf77b940.nv26.08 / 13.4 |
Latency covers encoding and decoding to a validated token program; it excludes rasterising the SVG. Samples: samples.png, rows are reference, model, nearest training icon.
State transitions
- running2026-09-27T21:57:45Z
- completed2026-09-27T22:28:36Z
Run record
Verbatim from runs/r2s-full-v5-path-7a72de9-12766043-47646604/run.yaml, the record committed before launch.
schema_version
2
run_id
r2s-full-v5-path-7a72de9-12766043-47646604
state
completed
planned_at
2026-09-27T21:57:45Z
hypothesis
Trained on the 2,681 family-disjoint training icons, the 8.9M-parameter render-to-program model transcribes held-out validation renders better than retrieving the closest training icon. Pass requires all three: (1) mean 72 px pixel error below the nearest-training-icon baseline with the paired 95% interval on the reduction excluding zero; (2) CLIP top-1 on Gate N's 32 validation icons at or above OmniSVG 4B zero-shot, 0.609; (3) median single-icon latency on the RTX 4080 under 500 ms.
parent_run
r2s-full-v3-metric
git_commit
7a72de90b9ce991682e5de2c0cf03a618e22e68e
dirty_patch_sha256
ec2ed314ee33389e…config
configs/render2svg/full-v5-path.yaml
config_sha256
12766043240a6b7d…config_resolved
model
image_size
144
d_model
256
heads
8
encoder_layers
2
decoder_layers
6
feedforward
1024
dropout
0.1
metric
true
fourier
10
order
path
training
steps
20000
batch_size
32
learning_rate
0.0005
weight_decay
0.01
warmup_steps
500
seed
7001
eval_every
1000
eval_icons
64
train_icons
None
evaluate_on_train
false
augment_variants
16
augment_seed
9001
augment_mirror
0.5
augment_max_shift
48
augment_colour
0.5
augment_online
false
compose_probability
0.0
compose_parts
4
augment_original
0.1
loader_workers
10
bf16
true
final_eval_icons
339
clip_icons
32
dataset
pilot_config
configs/learning/openmoji-g1-geometric-gate-v16.yaml
cache_sha256
476466042da98d72…train_icons
2681
augmented_variants
42896
augmented_sha256
35c7ef3ccc5bb6e3…evaluated_on
primary/validation
seed
7001
determinism
seeded; cuDNN and SDPA kernels not forced deterministic
model_parameters
9025826
command
.venv/bin/python -m mojidiff.learning.render2svg --config configs/render2svg/full-v5-path.yaml
outputs
run_dir
runs/r2s-full-v5-path-7a72de9-12766043-47646604
checkpoints
/home/dev/.cache/mojidiff/runs/r2s-full-v5-path-7a72de9-12766043-47646604
notes
completed_at
2026-09-27T22:28:36Z
resource
device
NVIDIA GeForce RTX 4080
torch_version
2.14.0a0+4fdf77b940.nv26.08
cuda_version
13.4
python_version
3.12.3
peak_vram_gib
4.341529369354248
train_seconds
1777.1244110439438
inference_ms_per_icon
1104.982272023335
inference_p95_ms_per_icon
1109.6859640674666
icons_per_second
0.9049918947286802
batched_ms_per_icon
76.57305999964592
batched_icons_per_call
64
excludes
rendering the output SVG to pixels
baselines
blank_canvas_pixel_error
0.1720480552069557
nearest_training_icon_pixel_error
0.08973124639576185
gate_n_omnisvg_zero_shot_top1
0.609375
nearest_training_icon_clip_top1
0.34375
result
icons
339
model_pixel_error
0.0977829879267927, 0.09210410903762219, 0.10351422510784983
model_pixel_error_median
0.09674564749002457
exact_program_rate
0.014749262536873156
rendered_rate
1.0
blank_pixel_error
0.1720480552069557
selected_step
19000
nearest_training_icon_pixel_error
0.08973124639576185, 0.0848205749792233, 0.09466393787711656
model_minus_baseline_error_reduction
-0.008051741531030839, -0.012432363101394207, -0.003725512852478645
icons_model_beats_baseline
153
clip_retrieval
model_greedy
top1_rate
0.4375
top5_rate
0.71875
mean_rank
6.5
clip_to_reference_mean
0.8855335898697376
chance_top1
0.03125
icons
32
nearest_training_icon
top1_rate
0.34375
top5_rate
0.59375
mean_rank
7.40625
clip_to_reference_mean
0.8630629815161228
chance_top1
0.03125
icons
32
gate_n_omnisvg_zero_shot_top1
0.609375
gate_n_omnisvg_best_of_12_top1
0.828125
model_calls_per_icon
562