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0440dbc0e1
* add swanlab integration * feat(integrate): add SwanLab as an optional experiment tracking tool in transformers - Integrated SwanLab into the transformers library as an alternative for experiment tracking. - Users can now log training metrics, hyperparameters, and other experiment details to SwanLab by setting `report_to="swanlab"` in the `TrainingArguments`. - Added necessary dependencies and documentation for SwanLab integration. * Fix the spelling error of SwanLabCallback in callback.md * Apply suggestions from code review Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com> * Fix typo in comment * Fix typo in comment * Fix typos and update comments * fix annotation * chore: opt some comments --------- Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com> Co-authored-by: AAssets <20010618@qq.com> Co-authored-by: ZeYi Lin <944270057@qq.com> Co-authored-by: KAAANG <79990647+SAKURA-CAT@users.noreply.github.com> |
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| .. | ||
| agent.md | ||
| callback.md | ||
| configuration.md | ||
| data_collator.md | ||
| deepspeed.md | ||
| feature_extractor.md | ||
| image_processor.md | ||
| keras_callbacks.md | ||
| logging.md | ||
| model.md | ||
| onnx.md | ||
| optimizer_schedules.md | ||
| output.md | ||
| pipelines.md | ||
| processors.md | ||
| quantization.md | ||
| text_generation.md | ||
| tokenizer.md | ||
| trainer.md | ||