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automated-benchmarks

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MoodBench is an automated benchmarking framework that fine-tunes, evaluates, and compares small language models for sentiment analysis. It uses Parameter-Efficient Fine-Tuning (PEFT) with LoRA to enable efficient training on consumer hardware. It also calculates an approximate NPS for reviews as a POC.

  • Updated Nov 25, 2025
  • Python

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