library_name: transformers
tags:
- environmental science
- education
license: apache-2.0
datasets:
- dfndr11/climate-change-qna
language:
- en
pipeline_tag: question-answering
Model Card for Model ID
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
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Evaluation
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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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