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* [Flax] Add remat (gradient checkpointing) * fix variable naming in test * flip: checkpoint using a method * fix naming * fix class naming * apply PVP's suggestions from code review * add gradient_checkpointing to examples * Add gradient_checkpointing to run_mlm_flax * Add remat to longt5 * Add gradient checkpointing test longt5 * Fix args errors * Fix remaining tests * Make fixup & quality fixes * replace kwargs * remove unecessary kwargs * Make fixup changes * revert long_t5_flax changes * Remove return_dict and copy to LongT5 * Remove test_gradient_checkpointing Co-authored-by: sanchit-gandhi <[email protected]>
* mac m1 `mps` integration * Update docs/source/en/main_classes/trainer.mdx Co-authored-by: Sylvain Gugger <[email protected]> * addressing comments * Apply suggestions from code review Co-authored-by: Dan Saattrup Nielsen <[email protected]> * resolve comment Co-authored-by: Sylvain Gugger <[email protected]> Co-authored-by: Dan Saattrup Nielsen <[email protected]>
Co-authored-by: ydshieh <[email protected]>
Co-authored-by: ydshieh <[email protected]>
* Update run_translation_no_trainer.py found an error in selecting `no_decay` parameters and some small modifications when the user continues to train from a checkpoint * fixs `no_decay` and `resume_step` issue 1. change `no_decay` list 2. if use continue to train their model from provided checkpoint, the `resume_step` will not be initialized properly if `args.gradient_accumulation_steps != 1`
* bnb minor modifications - refactor documentation - add troubleshooting README - add PyPi library on DockerFile * Apply suggestions from code review Co-authored-by: Stas Bekman <[email protected]> * Apply suggestions from code review * Apply suggestions from code review * Apply suggestions from code review * put in one block - put bash instructions in one block * update readme - refactor a bit hardware requirements * change text a bit * Apply suggestions from code review Co-authored-by: Yih-Dar <[email protected]> * apply suggestions Co-authored-by: Yih-Dar <[email protected]> * add link to paper * Apply suggestions from code review Co-authored-by: Stas Bekman <[email protected]> * Update tests/mixed_int8/README.md * Apply suggestions from code review * refactor a bit * add instructions Turing & Amperer Co-authored-by: Stas Bekman <[email protected]> * add A6000 * clarify a bit * remove small part * Update tests/mixed_int8/README.md Co-authored-by: Stas Bekman <[email protected]> Co-authored-by: Yih-Dar <[email protected]>
* examples: add Bloom support for token classification (FLAX, PyTorch and TensorFlow) * examples: remove support for Bloom in token classication (FLAX and TensorFlow currently have no support for it)
Co-authored-by: lewtun <[email protected]> Co-authored-by: ydshieh <[email protected]>
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