mSFT: Addressing Dataset Mixtures Overfiting Heterogeneously in Multi-task SFT
mSFT: Addressing Dataset Mixtures Overfiting Heterogeneously in Multi-task SFT explores An overfitting-aware algorithm that optimizes multi-task SFT by dynamically adjusting data mixtures, improving model performance and efficiency.. Commercial viability score: 7/10 in LLM Training.
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