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ML — ablation study

ML evaluation vertical — models, datasets, evals, ablations. Typed FlowScript for machine-learning evaluation. Keywords: ablation, benchmark, evaluation, model comparison.

Template previewFlowScript
ABLATION STUDY · EXACT-MATCH ACCURACYbase_score — baseline 0.612#CHANGEΔ vs BASESCORE1Strip semantic types — fall back to generic boxesno_typed_attrs−0.0840.5282Disable arithmetic propagationno_propagation−0.0510.5613Skip critic step in Architect modeno_critique−0.0390.573

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// ML evaluation vertical — models, datasets, evals, ablations.
// The ablations view at the foot of the document draws through the
// ablation_table renderer (ablation is its registered alias).

model base {
  title: "Flow-v1 base"
  params: 7000000000
  family: "decoder-only transformer"
}

dataset internal_eval {
  title: "FlowBench v2"
  n: 1240
  split: "held-out"
}

eval base_score {
  model: base
  dataset: internal_eval
  metric: "exact-match accuracy"
  score: 0.612
}

ablation no_typed_attrs {
  base: base_score
  delta: -0.084
  change: "Strip semantic types — fall back to generic boxes"
}

ablation no_propagation {
  base: base_score
  delta: -0.051
  change: "Disable arithmetic propagation"
}

ablation no_critique {
  base: base_score
  delta: -0.039
  change: "Skip critic step in Architect mode"
}

view ablations: ablation_table(base_score)