kev-KOH/time-embed-bge-m3-lms-temporal-phase2-74
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:
candidate = (1 - alpha) * phase2.72 + alpha * phase2.73
alpha = 0.75The 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 전지난주versus7일 전최근 7일versus7일 전지난달versus30일 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.
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:
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
