This adapter was produced by a training run whose final_loss diverged to ~3,059,379 instead of a healthy sub-1.0 value. The resulting model generates only repeated ! characters at inference time — it does not produce valid JSON and should not be used for the intended ticket-triage task.

Root cause (suspected): the training script's loss_type was patched from "chunked_nll" to "nll" to work around a trl/Kaggle compatibility bug (AttributeError: 'functools.partial' object has no attribute '__func__' in _patch_chunked_ce_lm_head). The patched loss path appears to not normalize by the supervised token count, causing the loss/gradient scale to explode.

This adapter is uploaded here only as supporting evidence for the accompanying lab report (submission/REPORT.md in the GitHub repo below), not as a usable model artifact.