* initial work
* Add other classes
* Refactor code
* Move warning and fix dynamic pipeline
* Issue warning when necessary
* Add test
* Do not skip auto tests
* Fix failing tests
* Refactor and address review comments
* Address review comments
* wrong argument name
* append eos_token_id
* all tokenizers need mask and ctc_blank tokens
* remove reduction factor from feature extractor
* add proper TTS loss
* did shifting the wrong way around
* mask out padded portions
* remove logits again (don't really need it)
* fix unit tests
* fixup
* pad also returns the decoder attention mask, since that's useful to have
* clean up feature extractor logic
* pad can handle TTS task too
* remove stop_labels from loss calculation
* simplify logic
* fixup
* do -100 masking properly
* small STFT optimization (calculate mel filterbanks only once)
* replace torchaudio fbanks with audio_utils
* remove torchaudio dependency
* simplify & speed up the STFT
* don't serialize window and mel filters
* output cross attentions when generating speech
* add guided attention loss
* fix failing test
* Update src/transformers/models/speecht5/feature_extraction_speecht5.py
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
* Update src/transformers/models/speecht5/modeling_speecht5.py
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
* change type annotation of attention_mask to LongTensor
* extract loss into class
* remove unused frame_signal_scale argument
* use config object in loss class
* fix type annotations in doc comments
* change optional to just bool
* implement missing tokenizer method
* add deprecation warning
* Update src/transformers/models/speecht5/feature_extraction_speecht5.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Update src/transformers/models/speecht5/feature_extraction_speecht5.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* add deprecation warning for stop_labels
---------
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Simplify update metadata job
* Match more branch names
* Install all what is necessary
* Install all what is necessary
* Forgot the dev
* Install less stuff
* This syntax?
fix: docs: ko: sagemaker anchors and `_toctree.yml`
Co-authored-by: Hyeonseo Yun <0525_hhgus@naver.com>
Co-authored-by: Gabriel Yang <gabrielwithhappy@gmail.com>
Co-authored-by: Sohyun Sim <96299403+sim-so@users.noreply.github.com>
Co-authored-by: Na Yeon Han <nayeon2.han@gmail.com>
Co-authored-by: Wonhyeong Seo <wonhseo@kakao.com>
docs: ko: translated `custom_models.mdx`
Co-authored-by: Wonhyeong Seo <wonhseo@kakao.com>
Co-authored-by: Gabriel Yang <gabrielwithhappy@gmail.com>
Co-authored-by: Jungnerd <46880056+jungnerd@users.noreply.github.com>
Fixed string format; better tokenizer message.
Before: `Saving a {tokenizer_class} to {tokenizer_path}`
After: `Saving a LlamaTokenizerFast to outdir.`
* add: tokenizer training script for TF TPU LM training.
* add: script for preparing the TFRecord shards.
* add: sequence of execution to readme.
* remove limit from the tfrecord shard name.
* Add initial train_model.py
* Add basic training arguments and model init
* Get up to the point of writing the data collator
* Pushing progress so far!
* Complete first draft of model training code
* feat: grouping of texts efficiently.
Co-authored-by: Matt <rocketknight1@gmail.com>
* Add proper masking collator and get training loop working
* fix: things.
* Read sample counts from filenames
* Read sample counts from filenames
* Draft README
* Improve TPU warning
* Use distribute instead of distribute.experimental
* Apply suggestions from code review
Co-authored-by: Matt <Rocketknight1@users.noreply.github.com>
* Modularize loading and add MLM probability as arg
* minor refactoring to better use the cli args.
* readme fillup.
* include tpu and inference sections in the readme.
* table of contents.
* parallelize maps.
* polish readme.
* change script name to run_mlm.py
* address PR feedback (round I).
---------
Co-authored-by: Matt <rocketknight1@gmail.com>
Co-authored-by: Matt <Rocketknight1@users.noreply.github.com>
* docs: ko: init: tasks/sequence_classification.mdx
* docs: ko: revised: change voca in tasks/sequence_classification.mdx
* docs: ko: revised: [RE] change voca in tasks/sequence_classification.mdx
* docs: ko: revised: spell check and sentence naturally in tasks/sequence_classification.mdx
* docs: ko: revised: spell check and consistent vocabulary in tasks/sequence_classification.mdx
* docs: ko: revised: Add full stop and change voca in tasks/sequence_classification.mdx
* docs: ko: revised: sync first section templates in tasks/sequence_classification.mdx
Co-authored-by: Wonhyeong Seo <wonhseo@kakao.com>
* fix: revert use of full-stops to colons
* colons are used to emphasize the code block that follows
* @0525hhgus @wonhyeongseo docs: ko: revised: sync second section templates in tasks/sequence_classification.mdx
Co-Authored-By: Wonhyeong Seo <wonhseo@kakao.com>
* docs: ko: revised: change 'train', 'finetuning' in tasks/sequence_classification.mdx
---------
Co-authored-by: Wonhyeong Seo <wonhseo@kakao.com>
