v1.0.0 Full SetFit Release

This release heavily refactors the SetFit trainer and introduces some much requested features, such as:

• New Trainer, new TrainingArguments with many, many new arguments.
• Configurable logging, automatic logging to Weights & Biases and Tensorboard if installed.
• Evaluation during training, early stopping support to combat overfitting.
• Checkpointing + loading the best model at the end.
• SetFit for Aspect Based Sentiment Analysis in collaboration with Intel Labs.
• Heavily improved automatic model card generation.
• Extensive callbacks support based on transformers.
• Full, extensive documentation: http://hf.co/docs/setfit
• and more!

v1.0.0 Migration Guide

Read the v1.0.0 Migration Guide in the documentation: https://hf.co/docs/setfit/how_to/v1.0.0_migration_guide

v1.0.0 Detailed Release Notes

Read the more detailed release notes in the documentation: https://huggingface.co/docs/setfit/how_to/v1.0.0_migration_guide#v100-changelog

What's Changed

• Preserve dataset features in sample_dataset by @grofte in https://github.com/huggingface/setfit/pull/396
• Allow other datasets in trainer.evaluate() by @grofte in https://github.com/huggingface/setfit/pull/402
• Normalize device to CPU when evaluating by @tomaarsen in https://github.com/huggingface/setfit/pull/363
• show_progress_bar as parameter on predict and predict_prob by @davidsbatista in https://github.com/huggingface/setfit/pull/429
• Refactor to introduce Trainer & TrainingArguments, add SetFit ABSA by @tomaarsen in https://github.com/huggingface/setfit/pull/265
• fix: make sampling more reproducible by @yahiaelgamal in https://github.com/huggingface/setfit/pull/441
• Allow setting batch size in SetFitModel.predict by @tomaarsen in https://github.com/huggingface/setfit/pull/443
• Save differentiable model head on CPU by @tomaarsen in https://github.com/huggingface/setfit/pull/444
• Allow 'device' on SetFitModel.from_pretrained() by @tomaarsen in https://github.com/huggingface/setfit/pull/445
• Add notebook to demonstrate how efficiently running SetFit with ONNX by @MosheWasserb in https://github.com/huggingface/setfit/pull/435
• Add "labels" to SetFitModel, store/load from configuration file by @tomaarsen in https://github.com/huggingface/setfit/pull/447
• Allow passing strings to model.predict by @tomaarsen in https://github.com/huggingface/setfit/pull/448
• Allow partial column mappings by @tomaarsen in https://github.com/huggingface/setfit/pull/449
• Allow normalize_embeddings with a differentiable head by @tomaarsen in https://github.com/huggingface/setfit/pull/450
• Heavily improve automatic model card generation by @tomaarsen in https://github.com/huggingface/setfit/pull/452
• Also pass metric_kwargs to custom metric callable by @tomaarsen in https://github.com/huggingface/setfit/pull/456
• Prepare v1.0.0 release - Trainer, TrainingArguments, SetFitABSA, logging, evaluation during training, callbacks, docs by @tomaarsen in https://github.com/huggingface/setfit/pull/439

New Contributors

• @rhelmeczi made their first contribution in https://github.com/huggingface/setfit/pull/362
• @bofenghuang made their first contribution in https://github.com/huggingface/setfit/pull/366
• @davidberenstein1957 made their first contribution in https://github.com/huggingface/setfit/pull/384
• @alvarobartt made their first contribution in https://github.com/huggingface/setfit/pull/397
• @bogedy made their first contribution in https://github.com/huggingface/setfit/pull/361
• @grofte made their first contribution in https://github.com/huggingface/setfit/pull/396
• @davidsbatista made their first contribution in https://github.com/huggingface/setfit/pull/429
• @rtrompier made their first contribution in https://github.com/huggingface/setfit/pull/433
• @yahiaelgamal made their first contribution in https://github.com/huggingface/setfit/pull/441

Full Changelog: https://github.com/huggingface/setfit/compare/v0.7.0...v1.0.0