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kev-KOH/time-embed-bge-m3-lms-temporal-phase2-74

sourceHugging Faceupdated 3mo agoView on Hugging Face
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Time-Embed BGE-M3 LMS Temporal Phase2.74

This checkpoint is a Korean LMS temporal-expression embedding model derived from BAAI/bge-m3.

Phase2.74 is not a new gradient-training run. It is a training-free convex interpolation between two Time-Embed checkpoints:

text
candidate = (1 - alpha) * phase2.72 + alpha * phase2.73
alpha = 0.75

The purpose is to keep the Phase2.72 temporal frontier while borrowing the small semantic/calendar gains observed in Phase2.73.

Intended Use

Use this model for Korean LMS retrieval where relative temporal expressions must be separated precisely, for example:

  • —일주일 전, 7일 전, 1주 전
  • —지난주 versus 7일 전
  • —최근 7일 versus 7일 전
  • —지난달 versus 30일 전
  • —same time expression but different LMS item type or intent

This model is specialized for temporal-expression retrieval. It is not a general-purpose replacement for BAAI/bge-m3 without task-specific validation.

Internal Evaluation

Promotion baseline: Phase2.72.

suitePhase2.72 frontierPhase2.74delta
temporal benchmark critical positive0.7150323580.715032517+0.000000159
semantic retention critical positive0.9610940750.961106231+0.000012156
calendar benchmark critical positive0.8747482290.874759797+0.000011568

All three internal suites passed their gates, and all three suites had negative_near_one_rate=0.0.

MTEB Retention Check

Base-vs-checkpoint Korean MTEB comparison:

taskmetricdelta
KLUE-STSmain_score+0.006886
KorSTSmain_score+0.004257
KLUE-NLImain_score+0.024984
SQuADKorV1Retrievalndcgat10-0.004290
SQuADKorV1Retrievalmrrat10-0.004378

No general catastrophic forgetting was detected by the project default rule: all drops stayed within the -0.01 retention band.

Caveat

The smallest Phase2.74 frontier gain over Phase2.72 is only +0.000000159. Treat this model as a narrow frontier improvement, not a wide-margin quality jump. Downstream consumers should keep Phase2.72 as a fallback candidate until Phase2.74 is validated in the target LMS retrieval stack.

Provenance

  • —Base model: BAAI/bge-m3
  • —Parent checkpoints:
  • —kev-KOH/time-embed-bge-m3-lms-temporal-phase2-72
  • —local Phase2.73 checkpoint
  • —Research note: wiki/2026-06-26/research/phase2-74-p72-p73-semantic-frontier-interpolation-design.md