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* udpaet * update * Update docs/source/ja/autoclass_tutorial.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * add codes workflows/build_pr_documentation.yml * Create preprocessing.md * added traning.md * Create Model_sharing.md * add quicktour.md * new * ll * Create benchmark.md * Create Tensorflow_model * add * add community.md * add create_a_model * create custom_model.md * create_custom_tools.md * create fast_tokenizers.md * create * add * Update docs/source/ja/_toctree.yml Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * md * add * commit * add * h * Update docs/source/ja/peft.md Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com> * Update docs/source/ja/_toctree.yml Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com> * Update docs/source/ja/_toctree.yml Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com> * Suggested Update * add perf_train_gpu_one.md * added perf based MD files * Modify toctree.yml and Add transmartion to md codes * Add `serialization.md` and edit `_toctree.yml` * add task summary and tasks explained * Add and Modify files starting from T * Add testing.md * Create main_classes files * delete main_classes folder * Add toctree.yml * Update llm_tutorail.md * Update docs/source/ja/_toctree.yml Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update misspelled filenames * Update docs/source/ja/_toctree.yml Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/ja/_toctree.yml * Update docs/source/ja/_toctree.yml * missplled file names inmrpovements * Update _toctree.yml * close tip block * close another tip block * Update docs/source/ja/quicktour.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/ja/pipeline_tutorial.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/ja/pipeline_tutorial.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/ja/preprocessing.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/ja/peft.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/ja/add_new_model.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/ja/testing.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/ja/task_summary.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/ja/tasks_explained.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update glossary.md * Update docs/source/ja/transformers_agents.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/ja/llm_tutorial.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/ja/create_a_model.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/ja/torchscript.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/ja/benchmarks.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/ja/troubleshooting.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/ja/troubleshooting.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/ja/troubleshooting.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/ja/add_new_model.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update perf_torch_compile.md * Update Year to default in en documentation * Final Update --------- Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
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Training on TPUs
注意: シングルGPUセクションで紹介されているほとんどの戦略（混合精度トレーニングや勾配蓄積など）およびマルチGPUセクションは一般的なモデルのトレーニングに適用できますので、このセクションに入る前にそれを確認してください。
このドキュメントは、TPUでのトレーニング方法に関する情報をまもなく追加いたします。