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v1.15.0

argilla-io/argilla

版本发布时间: 2023-08-31 19:50:24

argilla-io/argilla最新发布版本:v2.1.0(2024-09-05 23:11:08)

🔆 Highlights

Argilla 1.15.0 comes with an enhanced FeedbackDataset settings page enabling the update of the dataset settings, an integration of the TRL package with the ArgillaTrainer, and continues adding improvements to the Python client for managing FeedbackDatasets.

⚙️ Update FeedbackDataset settings from the UI

Update Feedback Dataset settings from the UI

FeedbackDataset settings page has been updated and now it allows to update the guidelines and some attributes of the fields and questions of the dataset. Did you misspell the title or description of a field or question? Well, you don't have to remove your dataset and create it again anymore! Just go to the settings page and fix it.

🤖 TRL integration with the ArgillaTrainer

ArgillaTrainer code snippet for training reward model with TRL

The famous TRL package for training Transformers with Reinforcement Learning techniques has been integrated with the ArgillaTrainer, that comes with four new TrainingTask: SFT, Reward Modeling, PPO and DPO. Each training task expects a formatting function that will return the data in the expected format for training the model.

Check this 🆕 tutorial for training a Reward Model using the Argilla Trainer.

🐍 Filter FeedbackDataset and remove suggestions

Using FeedbackDataset filter method

In the 1.14.0 release we added many improvements for working with remote FeedbackDatasets. In this release, a new filter_by method has been added that allows to filter the records of a dataset from the Python client. For now, the records can be only filtered using the response_status, but we're planning adding more complex filters for the upcoming releases. In addition, new methods have been added allowing to remove the suggestions created for a record.

1.15.0

Added

Changed

Fixed

Removed

As always, thanks to our amazing contributors

Full Changelog: https://github.com/argilla-io/argilla/compare/v1.14.1...v1.15.0

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