Question Answering
PEFT
Safetensors
English
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metadata
library_name: peft
base_model: mistralai/Mistral-7B-Instruct-v0.2
datasets:
  - mar-yam1497/HotPotQA_Mistral_Instruct_dataset_Top3k_Revised
language:
  - en
pipeline_tag: question-answering

Model Card for Model ID

Trained as a component of a QnA System. Extracts relevant context to answer a given question from large text stream.

Model Details

Model Description

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Model Sources [optional]

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Uses

Direct Use

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Downstream Use [optional]

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Out-of-Scope Use

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Bias, Risks, and Limitations

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Recommendations

Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

How to Get Started with the Model

Use the code below to get started with the model.

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Training Details

Training Data

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Training Procedure

Preprocessing [optional]

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Training Hyperparameters

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Speeds, Sizes, Times [optional]

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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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Compute Infrastructure

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Hardware

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Software

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Citation [optional]

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APA:

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Glossary [optional]

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Model Card Authors [optional]

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Model Card Contact

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Framework versions

  • PEFT 0.7.1