Fable data automation backfires: wrong templates cause model regression
cephaloform · x · 2026-08-18
A user attempted to train the LFM 2.6B model using Fable to save time on data preparation, but observed performance degradation. Investigation revealed Fable applied incorrect chat templates to one-third of the data and imported irrelevant HF datasets. This reinforces the rule that without data inspection, you aren't training the model.
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