VISION-OCR C s2

Sanskrit DoneNeutral

visiontest_c_s1338_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)
0.8002
bits per byte
+1.1%
ex-Gītā, clean_v1
—
bits per byte
Pooled, all five sets
0.7945
bits per byte
+1.1%
Validation split
0.8127
bits per byte
+3.8%
Bits per byte on each test set
Test setVISION-OCR C s2VISION-OCR A (parent)Change
DCS gold (classical)0.78410.7758+1.1%
Bhagavad-gītā (memorisation)0.6450.6338+1.8%
Out of domain0.80680.7976+1.2%
Prose0.76380.756+1.0%
Vedic (Ṛgveda)1.10111.0937+0.7%

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