Materials for the Lab "Explaining Neural Language Models from Internal Representations to Model Predictions" at AILC LCL 2023 🔍
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Updated
May 31, 2023 - Jupyter Notebook
Materials for the Lab "Explaining Neural Language Models from Internal Representations to Model Predictions" at AILC LCL 2023 🔍
Python pipeline for analyzing INSeq Insertion Sequencing data
Fine-tuning and evaluation of a language model for explanation generation of natural language inference. Fine-tuning scripts for a pre-trained T5 model supporting both full model fine-tuning as well as LoRA are included in this repository.
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