SEC-EDGAR Model Quality Check | Generated by AI

Home 2026.06

Here’s the summary of the SEC-EDGAR 124M generation quality (checkpoint at step ~37k / 47.4k = 78% done, val_loss 2.45):

QUALITY ASSESSMENT:

  1. NARRATIVE SECTIONS (good):
    • “The company reported revenue of…” → proper SEC language, accounting terms (goodwill impairment, SFAS, deferred tax, FIFO), realistic financial figures, table-of-contents formatting
    • “ITEM 1A. RISK FACTORS” → proper regulatory language, Securities Act references, bullet-point risk disclosures, forward-looking statement boilerplate
    • “MANAGEMENT’S DISCUSSION AND ANALYSIS…” → coherent business description, marketing/sales org structure, bullet-point development plans, financing risk factors
  2. STRUCTURED/TABULAR (loop issues):
    • “CONSOLIDATED BALANCE SHEETS” → starts well (realistic line items with two-column comparative figures: Cash $2,826/$1,741, A/R $9,924/$5,853) but loops on “Common stock, $0.01 par value” entries after ~200 tokens
    • ”$” prompt → loops on “$X.X million, or Y%” financial ratio patterns
  3. KEY OBSERVATIONS:
    • Narrative text quality is strong — proper SEC jargon, realistic corporate structure, coherent paragraphs
    • Tables/balance sheets work for the initial rows then degenerate into loops (expected for 124M)
    • At temp=0.8, output is fluent but occasionally redundant (“marketing” repeated many times)
    • The model hasn’t finished training yet (78%) — final ~2.2-2.3 val_loss should improve coherence further

The model is in tmux session sec-sample if you want to try more prompts interactively. Run: tmux attach -t sec-sample

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