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Generate a response for the question from pre-defined text using LLM(Extracted Question-Answering(QA) Model).

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hariprasath-v/Machinehack_Intel_oneapi_hackathon_the_llm_challenge

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Machinehack_Intel_oneapi_hackathon_the_llm_challenge

Competition hosted on Machinehack

About

Generate a response for the question from pre-defined text using LLM(Extracted Question-Answering(QA) Model).

The Final Competition score is 0.25114

Final Leaderboard Rank is 9/35

The Evaluation Metric is Accuracy.

File information

  • mh-intel-oneapi-hackathon-the-llm-challenge-eda.ipynb Open in Kaggle

    Basic Exploratory Data Analysis

    Packages Used,

     * seaborn 
     * Pandas
     * Numpy
     * Matplotlib
     * nltk
     * spacy
     * wordcloud
     * spellchecker
     * sklearn
    
  • mh-intel-oneapi-hackathon-the-llm-challenge-model.ipynb Open in Kaggle

    I have directly used a pre-trained model without fine-tuning it on the training data, primarily due to my limited knowledge in NLP-QA tasks. I loaded and predicted the test data using the transformers inference pipeline.

    Packages Used,

      * Pandas
      * Huggingface