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g4bal_a — RAI safety classifier (Atlassian responsible-ai campaign)
- Base:
google/gemma-4-E2B-it - Method: full-SFT (final merged model; optimizer states not saved by the trainer)
- Arm / iteration:
g4bal_a/g4bal - Contents: model weights (root) ·
eval/= raw inference outputs on the eval sets (v14, hello_v2_filtered, v200, robustnessv2) under policy prompts v3_1b / v3_1c ·artifacts/= training log - Eval-inference files uploaded: 10
Binary content-safety classifier; output = two lines Verdict: <category> / Reason: ....
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