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Kronfluence: Examples

For detailed technical documentation of Kronfluence, please refer to the Technical Documentation page.

Getting Started

To run all examples, install the necessary packages:

pip install -r requirements.txt

Alternatively, navigate to each example folder and run pip install -r requirements.txt.

List of Tasks

Our examples cover the following tasks:

Task Example Datasets
Regression UCI
Image Classification CIFAR-10 & ImageNet
Text Classification GLUE
Multiple-Choice SWAG
Summarization CNN/DailyMail
Language Modeling WikiText-2 & OpenWebText

These examples demonstrate various use cases of Kronfluence, including the usage of AMP (Automatic Mixed Precision) and DDP (Distributed Data Parallel). Many examples aim to replicate the settings used in our paper. If you would like to see more examples added to this repository, please leave an issue.