| --- |
| pretty_name: Beetle merged models — benchmark evaluation vs parents |
| tags: [model-merging, mergeability, blimp, multiblimp, evaluation, multilingual] |
| annotations_creators: [machine-generated] |
| language: [en, nl, de, zh] |
| configs: |
| - config_name: long |
| default: true |
| data_files: [{split: train, path: beetle_merge_eval_long.csv}] |
| - config_name: deltas |
| data_files: [{split: train, path: beetle_merge_eval_deltas.csv}] |
| - config_name: coverage |
| data_files: [{split: train, path: coverage_by_merge.csv}] |
| - config_name: summary_by_family_benchmark |
| data_files: [{split: train, path: summary_by_family_benchmark.csv}] |
| - config_name: summary_by_operator_arm |
| data_files: [{split: train, path: summary_by_operator_arm.csv}] |
| --- |
| |
| # Beetle merged models — benchmark evaluation against their parents |
|
|
| Minimal-pair benchmark accuracy for the **Beetle merged models published in the |
| `Mergeability` org**, scored against **their own parent models and, where one |
| exists, the jointly-trained ceiling** on the same harness. |
|
|
| The existing sweep datasets (`Mergeability/merge-sweep-results`, |
| `Mergeability-2/mergeability-results`) record merge quality in **nats** (NLL, |
| `delta_floor`, `rel_damage`, barrier, geometry). They contain **no downstream |
| benchmark accuracy for these repos** — this dataset adds that layer. |
|
|
| ## Files |
|
|
| | file | what it is | |
| |---|---| |
| | `beetle_merge_eval_long.csv` | tidy long format: `merge_id, provenance_family, parent_a, parent_b, ceiling, rung, operator, arm, benchmark, metric, value, chance, n, eval_langs, kind` — every table regenerates from this | |
| | `beetle_merge_eval_deltas.csv` | the same rows plus `naive_value`, `parent_a_value`, `parent_b_value`, `better_parent`, `ceiling_value`, `d_naive`, `d_parent`, `d_ceiling`, `z_vs_chance`, `at_chance`, `near_chance` | |
| | `coverage_by_merge.csv` | per-repo: rungs published vs rungs scored, and status | |
| | `summary_*.csv` | per-family / per-operator aggregates | |
| | `RESULTS_BEETLE_MERGE_EVAL.md` | what ran, what did not, the honest verdict per family | |
| | `fig_headline_naive_vs_aligned.png` | naive-vs-aligned and better-parent-vs-merged scatters, faceted by provenance family | |
| | `fig_merge_vs_joint_ceiling.png` | merged vs jointly-trained counterpart, for the two families that publish one | |
| | `arm_identity_audit.csv` | per operator-block: which arms exist, and whether aligned/transport are byte-identical to naive | |
| | `harness_validation_vs_beetle_analyze.csv` | cell-by-cell agreement with beetle-analyze published numbers | |
| | `retest_reliability.csv` | the 1,026 cells independently scored twice by two waves — a repeat-measurement check on the harness | |
|
|
| `kind == "reference"` rows are the parent and ceiling models themselves; `kind == "merge"` |
| rows are the merged rungs. Chance is 0.5 for every minimal-pair benchmark and 50 for BLiSS. |
|
|
| ## Benchmarks |
|
|
| English BLiMP (`nyu-mll/blimp`, 67,000 pairs), MultiBLiMP (`jumelet/multiblimp`, |
| per language), BLiMP-NL (`juletxara/blimp-nl`, 9,000), ZhoBLiMP |
| (`Junrui1202/zhoblimp`, 35,400), and BLiSS (`ALTACambridge/BLiSS`) where present. |
| MultiBLiMP has **no `zho`, `jpn`, `kor` or `fil` config**, so Chinese pairs get |
| ZhoBLiMP instead. |
|
|
| ## Harness |
|
|
| Scoring is a frozen vendor of |
| [`beetle-analyze`](https://github.com/suchirsalhan/beetle-analyze) |
| (`src/beetle_analyze/eval/eval_blimp.py`, `eval_bliss.py`): sum log-probability |
| per sentence, accuracy = fraction where `logp(good) > logp(bad)`; BLiSS metrics |
| are a direct port of `compute_bliss_metrics`. The only change is that the fp32 |
| `[B,T,V]` log-softmax is evaluated in row chunks (identical values, bounded |
| memory), and rung subfolders are staged to disk because `trust_remote_code` |
| does not honour `subfolder=` when resolving `auto_map`. |
|
|
| ## Caveat that dominates everything else |
|
|
| For every Beetle pair checked, the published `__aligned` folder holds |
| **byte-identical weights** to its `__naive` sibling (verified on LFS sha256). |
| Δ vs naive is therefore exactly 0 for aligned rungs, by construction, and no |
| conclusion about weight alignment can be drawn from these artefacts. Only |
| `__transport` differs from `__naive`. |
|
|
| ## Scope |
|
|
| Minimal-pair benchmarks only. **BLiSS was not run** — the scorer is vendored and working |
| and a 79-model job set is prepared, but the pass was dropped on the user's instruction, not |
| for any technical reason. A small pilot is retained under `benchmark == "bliss"` and labelled |
| as such. MECO L2 ΔlogL and JFLEG were also not run; `RESULTS_BEETLE_MERGE_EVAL.md` carries the |
| exact commands for all three. |
|
|
