History

TommyWang be939b1530 fix bmtrain install		2022-11-21 03:32:25 +00:00
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examples_prompt	move visualization to bigmodelvis on PyPI	2022-11-10 10:24:50 +00:00
examples_text-classification/configs/adapter_roberta-base	version 0.3.1	2022-10-17 09:02:45 +00:00
legacies	version 0.3.1	2022-10-17 09:02:45 +00:00
tutorial	fix bmtrain install	2022-11-21 03:32:25 +00:00
unittest	small updates after 0.3.2	2022-10-23 08:48:48 +00:00
README.md	first commit	2022-02-14 21:19:03 +08:00

README.md

Use Examples

This repo mainly contains several running scripts to use OpenDelta to conduct parameter-efficient training of various tasks.

Note that we suggest adding OpenDelta to existing scripts, instead of modify a scripts into the following examples. OpenDelta itself doens't restrict the training pipeline nor provide pipeline.

tutorial

Several toy tutorials:

The scripts for docs/basic_usage
Using interactive module selection
Work with OpenPrompt

examples_text-classification

Modify a huggingface text-classification examples into a delta tuning one. Currently, GLUE datasets are supported in the scripts. Roberta-base is used for performance checking. Read README.md inside the repo for detailed usage.

examples_seq2seq

Modify a huggingface sequence to sequence examples into a delta tuning one. Currently, SuperGLUE and GLUE datasets are supported in the scripts. T5-base is used for performance checking. Read README.md inside the repo for detailed usage.

examples_image-classification

A toy example of using OpenDelta for a Computer Vision Pretrained Model (ViT). Since ViT is an experimental feature in huggingface transformers, this example is subject to Change at any moment.