1. 18 Jan, 2024 1 commit
    • Yoach Lacombe's avatar
      Add new meta w2v2-conformer BERT-like model (#28165) · d2cdefb9
      Yoach Lacombe authored
      
      
      * first commit
      
      * correct default value non causal
      
      * update config and modeling code
      
      * update converting checkpoint
      
      * clean modeling and fix tests
      
      * make style
      
      * add new config parameters to docstring
      
      * fix copied from statements
      
      * Apply suggestions from code review
      Co-authored-by: default avatarSanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
      
      * make position_embeddings_type docstrings clearer
      
      * clean converting script
      
      * remove function not used
      
      * clean modeling file
      
      * apply suggestion for test file + add convert script to not_doctested
      
      * modify tests according to review - cleaner logic and more tests
      
      * Apply nit suggestions from code review
      Co-authored-by: default avataramyeroberts <22614925+amyeroberts@users.noreply.github.com>
      
      * add checker of valid position embeddings type
      
      * instantiate new layer norm layer with the right eps
      
      * fix freeze_feature_encoder since it can be None in some cases
      
      * add test same output in convert script
      
      * restore wav2vec2conformer and add new model
      
      * create processor and FE + clean
      
      * add new model code
      
      * fix convert script and set default config parameters
      
      * correct model id paths
      
      * make style
      
      * make fix-copies and cleaning files
      
      * fix copied from statements
      
      * complete .md and fixe copies
      
      * clean convert script argument defaults
      
      * fix config parameters docstrings
      
      * fix config docstring
      
      * add copied from and enrich FE tests
      
      * fix copied from and repo-consistency
      
      * add autotokenizer
      
      * make test input length shorter and change docstring code
      
      * fix docstrings and copied from
      
      * add add_adapter to ASR training example
      
      * make testing of adapters more robust
      
      * adapt to multi adapter layers
      
      * refactor input_values->input_features and remove w2v2-bert feature extractor
      
      * remove pretraining model
      
      * remove depreciated features and useless lines
      
      * add copied from and ignore statements to modeling tests
      
      * remove pretraining model #2
      
      * change import in convert script
      
      * change default in convert script
      
      * update readme and remove useless line
      
      * Update tests/models/wav2vec2_bert/test_processor_wav2vec2_bert.py
      Co-authored-by: default avataramyeroberts <22614925+amyeroberts@users.noreply.github.com>
      
      * refactor BERT to Bert for consistency
      
      * remove useless ignore copy statement
      
      * add persistent to buffer in rotary
      
      * add eps in LayerNorm init and remove copied from
      
      * add adapter activation parameters and add copied from statements
      
      * Fix copied statements and add unitest.skip reasons
      
      * add copied statement in test_processor
      
      * refactor processor
      
      * make style
      
      * replace numpy random by torch rand
      
      * remove expected output CTC
      
      * improve converting script with processor class
      
      * Apply suggestions from code review
      Co-authored-by: default avataramyeroberts <22614925+amyeroberts@users.noreply.github.com>
      
      * remove gumbel class
      
      * remove tests related to previously deleted class
      
      * Update src/transformers/models/wav2vec2_bert/configuration_wav2vec2_bert.py
      Co-authored-by: default avataramyeroberts <22614925+amyeroberts@users.noreply.github.com>
      
      * correct typos
      
      * remove uused parameters
      
      * update processor to takes both text and audio
      
      * update checkpoints
      
      * update expected output and add ctc expected output
      
      * add label_attention_mask
      
      * replace pt with np in processor tests
      
      * fix typo
      
      * revert to behaviour with labels_attention_mask
      
      ---------
      Co-authored-by: default avatarSanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
      Co-authored-by: default avataramyeroberts <22614925+amyeroberts@users.noreply.github.com>
      d2cdefb9