F235 — No Attention Word Model
F235 covers “No Attention Word Model”. The canonical record classifies it as validated, based on 2 source artifacts and 1 original source figure. The highlighted measurements are Matrix Score = 2002.728516, Gate Failures = 0, and Pseudo Word Ratio = 0.
Purpose and research question
The objective is to document the recorded outcome for “No Attention Word Model”. The research question is whether the phase-specific checks support the canonical validated classification. The recorded measurements include Matrix Score = 2002.728516, Gate Failures = 0, and Pseudo Word Ratio = 0.
Method
F235 is documented by 1 structured JSON record and 1 Markdown report and 1 original source figure. The reported table retains safe scalar measurements found in that phase package.
Documentation basis
2 source artifacts and 1 phase-specific figure are recorded for this phase.
Evidence highlights
- Matrix Score: 2002.728516
- Gate Failures: 0
- Pseudo Word Ratio: 0
- Gpu Used: Yes
- Total Prompts: 12
- Transformer Used: No
- Adam Used: No
- Torch Optim Used: No
Recorded evidence
| Matrix Score | 2002.728516 |
|---|---|
| Gate Failures | 0 |
| Pseudo Word Ratio | 0 |
| Gpu Used | Yes |
| Total Prompts | 12 |
| Transformer Used | No |
| Adam Used | No |
| Torch Optim Used | No |
Public evidence and source figures
These are original source figures from the existing public evidence set, not editorial HTML visualizations.
Result and interpretation
F235 is classified as validated with the recorded decision PASS. The recorded measurements include Matrix Score = 2002.728516, Gate Failures = 0, Pseudo Word Ratio = 0, and Gpu Used = Yes.
Key results
- Matrix Score
- 2002.728516
- Gate Failures
- 0
- Pseudo Word Ratio
- 0
- Gpu Used
- Yes
- Total Prompts
- 12
- Transformer Used
- No
- Adam Used
- No
- Torch Optim Used
- No
Evidence sources
Values on this page are reproduced from the archived phase record and the source artifacts below. No new benchmark was run to create this page.
- NO ATTENTION WORD MODEL 235 (JSON)
- NO ATTENTION WORD MODEL 235 (MD)
Research topics
Word Model · Word / World Document · Architecture · Evaluation