Home Depot relevance — LFM2.5 Encoder
Full fine-tuning of LiquidAI/LFM2.5-Encoder-230M for continuous Home Depot relevance.
The model jointly encodes Query, Title, optional Brand, and Description.
It pools the LFM BOS hidden state and predicts a score in [1, 3].
Validation RMSE: 0.426227
Validation MAE: 0.340394
Validation Spearman: 0.608588
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This repository includes the fine-tuned backbone and regression head.
Load a downloaded snapshot with LFM25EncoderRegressor.from_pretrained
from LFM25/lfm25_crossencoder_model.py. The nested backbone requires
trust_remote_code=True because it is an LFM2.5 Encoder model.
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Model tree for zhenqingli/lfm25-encoder-homedepot
Base model
LiquidAI/LFM2.5-230M-Base Finetuned
LiquidAI/LFM2.5-Encoder-230M