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This model was fine-tuned to answer questions related to the Climate Change chapter of the AP Environmental Science exam.

Model Details

Model Description

This is a model card for a fine-tuned Llama 2-7b transformer model. The compute required to fine-tune it was provided by Intel at Berkeley's AI Hackathon 2.0, 2024.

  • Developed by: Russell Anthony Bustamante, Haoyan Wan
  • Funded by [optional]: Compute sponsored by Intel
  • Model type: Large Language Model
  • Language(s) (NLP): English
  • License: Apache 2.0
  • Finetuned from model [optional]: Llama 2-7b

Model Sources [optional]

https://huggingface.co/datasets/dfndr11/climate-change-qna

Uses

Direct Use

This model is intended to be used in our Devpost submission, QuizzicalAI.

https://devpost.com/software/quizzicalai

Out-of-Scope Use

This model will not work well for questions not related specifically to the Climate Change chapter of the APES exam.

Training Details

Training Data

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Training Procedure

Preprocessing [optional]

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Training Hyperparameters

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Evaluation

Testing Data, Factors & Metrics

Testing Data

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Factors

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Metrics

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Results

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Summary

Model Examination [optional]

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Environmental Impact

Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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Technical Specifications [optional]

Model Architecture and Objective

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Hardware

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Software

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Citation [optional]

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Dataset used to train dfndr11/llama-2-7b-climate-change-finetune-merge