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Grammar GPU Lab (MyDeskMate)
Upload-ready Google Colab lab for run #2: do-no-harm calibration of the
exam-push checkpoint mydeskmate/grammar-v7 on the free T4 GPU: it mines the
clean sentences the model wrongly edits, trains a short calibration pass with
--identity_weight 3.0, then scores everything with the official task
scorers (JFLEG GLEU, CoNLL-2014 F0.5 via m2scorer, BEA-2019 F0.5 via ERRANT,
Do-No-Harm probe).
How to use: in https://colab.research.google.com click Upload notebook,
pick gec_colab.ipynb, set Runtime -> T4 GPU, then Run all. The notebook
downloads gec_colab_v3.zip from this repo automatically -- nothing else to
upload. Training data comes from the public HF hub mirrors (jfleg, coedit,
agentlans, wikitext); the warm start comes from mydeskmate/grammar-v7.
Pre-registered selection rule is written inside the notebook (honesty protocol): keep the new checkpoint only if CoNLL/BEA F0.5 improves vs the live v5 AND JFLEG GLEU >= 62.30 AND Do-No-Harm < 5%, else the run is reported as FAIL.
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