Giorgio Gilestro
287d2326cc
The decisive experiment from the external review. 39 LoRA parent pairs (0.5B, 3 seeds) on three axes decorrelated by construction: conflict (contradictory conventions on shared prompts, private budgets fixed), compat (same prompts, SAME convention — overlap without conflict), and duration (weight divergence, zero conflict). Six pre-merge predictors; primary outcome = merge penalty (parent potential − merged achieved). League table (Spearman vs penalty, n=39): functional measures predict (dis_raw +0.460, epi_conf +0.446, p<0.005); geometry collapses (delta_cos +0.03, delta_l2 +0.17 n.s.); gradient alignment weak (−0.35); performance ~0. The first grid's apparent geometry win (+0.60) was an overlap/volume artifact — the compat control axis (added for exactly this) exposed and killed it: same overlap and data volume, zero penalty. Honest riders in the README: confidence weighting does not beat raw disagreement as a rank predictor (pre-registered internal prediction not confirmed; it does double the conflict/compat level contrast), and |rho|~0.45 is bounded by 0.5B merge-outcome noise (7B is the firm-up). Also: micro-batched gradient accumulation (OOM fix on the shared 16GB GPU), exact r-space LoRA-delta geometry (brute-force-verified test, 151 green), systemd-run runbook lesson (tmux dies with the SSH session scope on this box). Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01BkRLcc18rwT2Lysu6PbG7v
36 lines
492 B
YAML
36 lines
492 B
YAML
experiment: llm_epistasis
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seed: 1
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n_replicates: 1
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source_config:
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experiment: llm_epistasis
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kind: llm_epistasis
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seed: 1
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seeds:
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- 1
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- 2
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- 3
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n_replicates: 1
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base_model: Qwen/Qwen2.5-0.5B-Instruct
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family_a: strings
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family_b: arith
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n_train: 400
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n_test: 80
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epochs: 3
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n_probe_each: 30
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grad_k: 32
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lora:
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r: 16
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alpha: 32
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conflict_fracs:
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- 0.0
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- 0.25
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- 0.5
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- 0.75
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- 1.0
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durations:
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- 1
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- 3
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- 6
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- 12
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output:
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dir: results/llm_epistasis
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