VISION-OCR C

Sanskrit DoneNeutral

visiontest_c_s1337_d20m

d20m (27.1M parameters) on plus_clean subset, trained on RTX 3060 12GB (Home GPU). Started 3 Oct 2026, ended 3 Oct 2026.

Hypothesis

The same 12.5% taken from the old scanned-book OCR of the same nine books.

What we learned

1.1% worse than clean text; Vision and old OCR tie.

Scores

Bits per byte, lower is better; change against the parent run, VISION-OCR A.

ex-Gītā (headline)
0.8015
bits per byte
+1.3%
ex-Gītā, clean_v1
—
bits per byte
Pooled, all five sets
0.7958
bits per byte
+1.3%
Validation split
0.8137
bits per byte
+3.9%
Bits per byte on each test set
Test setVISION-OCR CVISION-OCR A (parent)Change
DCS gold (classical)0.78710.7758+1.5%
Bhagavad-gītā (memorisation)0.64660.6338+2.0%
Out of domain0.8080.7976+1.3%
Prose0.76530.756+1.2%
Vedic (Ṛgveda)1.09571.0937+0.2%

Curves

No training curves were published for this run.Its scores above are what it published.

Model

Preset
d20m
Parameters
27,073,024
Outside embeddings
18,881,024
Layers · heads · width
6 · 8 · 512
Tokenizer
SLP1 unigram 8k

Muon + AdamW, rope, qk_norm, relu^2, untied head

Data

Slice
plus_clean subset
Words
—
Training tokens
90,848,863
Passes
1 passes
Tokens seen
90,783,744

Compute

GPU
RTX 3060 12GB
Where
Home GPU
Steps
1,847 / 1,847
GPU hours
0.23
Cost
—
Spot restarts
—

Lineage

homed20m