Appendix Table 9 reports the model sizes, architectures, optimization settings, and token budgets used for the scaling-law experiments.

Appendix Table 9 reports the model sizes, architectures, optimization settings, and token budgets used for the scaling-law experiments. · CiteArk

Measurement results

0/36 assessed

0 supported0 disputed or conflicting36 not assessed

The complete result group stays with its claim. Assessed rows come first; their judgments do not replace the whole-claim conclusion. Expand a row for conditions, sources, and evidence history.

Each row is a measurement with its reported value, latest available observation, and cumulative evidence state.
Reported	Latest observation	Evidence judgment
125 million parameters	—	Not assessed
12 layers	—	Not assessed
768 dimensions	—	Not assessed
12 heads	—	Not assessed
64 dimensions per head	—	Not assessed
4,800 steps	—	Not assessed
0.0006 initial learning rate	—	Not assessed
0.5 million tokens	—	Not assessed
2.5 billion tokens	—	Not assessed
350 million parameters	—	Not assessed
24 layers	—	Not assessed
1,024 dimensions	—	Not assessed

Appendix Table 9 reports the model sizes, architectures, optimization settings, and token budgets used for the scaling-law experiments.

Reported and observed measurements

Assessments (0)

Runs (0)

Measurement results