- 24 Mar, 2023 1 commit
-
-
Mitch Naylor authored
* add mega file structure and plain pytorch version of mega source code * added config class with old naming conventions * filled in mega documentation * added config class and embeddings with optional token types * updated notes * starting the conversion process, deleted intermediate and added use_cache back to config * renamed config attributes in modeling_mega.py * checkpointing before refactoring incremental decoding functions * removed stateful incremental key/values for EMA and self-attention * refactored MovingAverageGatedAttention to remove stateful k/v history and use unified attention mask * MovingAverageGatedAttention works with incremental decoding + past values, added sequence length enforcement * more comments in MovingAverageGatedAttention + checkpointing before GatedCrossAttention * bug fix in attention mask handling in MovingAverageGatedAttention * removed incremental state from GatedCrossAttention and removed IncrementalState class * finished gated cross attention and got MegaLayer working * fixed causal masking in mega decoder * fixed how padding and causal masks are passed through MegaLayer with and without k/v caching * finished MegaModel; tested with encoder, decoder-only, and cross-attention type inputs; started work on downstream classes; removed mentions of position_ids * added optional dense hidden layer for masked and causal LM classes * docstring updates in MultiHeadEMA and GatedCrossAttention, removed unnecessary inputs in cross-attention * removed before_attn_fn in Mega class and updated docstrings and comments up to there * bug fix in MovingAverageGatedAttention masking * working conversion of MLM checkpoint in scratchpad script -- perfect matches * moved arg for hidden dense layer in LM head to config; discovered issue where from_pretrained is renaming gamma and beta parameters * renamed gamma and beta parameters to avoid HF renaming when loading from checkpoint * finished checkpoint conversion script * cleanup old class in mega config script * removed 'copied from' statements and passing integration tests * added num_attention_heads=1 to config for integration compatibility, decoder tests working, generation tests failing * fixed tuple output of megamodel * all common tests passing after fixing issues in decoder, gradient retention, and initialization * added mega-specific tests, ready for more documentation and style checks * updated docstrings; checkpoint before style fixes * style and quality checks, fixed initialization problem in float_tensor, ready for PR * added mega to toctree * removed unnecessary arg in megaconfig * removed unused arg and fixed code samples with leftover roberta models * Apply suggestions from code review Applied all suggestions except the one renaming a class, as I'll need to update that througout Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * fixed issue where .view breaks batch dimension, conversion script fixed with absolute imports, updated readme with Mega->MEGA * removed asserts in Mega code, renamed sequencenorm, gatedcrossattention, and NFFN, replaced get_activation_fn with ACTFN, and added sequencenorm to layer norms * reformatted .forward() docstrings to match style and removed unused mask input in cross-attention * removed all reset_parameters() methods and rolled into MegaPreTrainedModel._init_weights() * renamed all single-letter variables and improved readability in tensor size comments, Mega->MEGA in 2 documentation files * variable names in NFFN * manual Mega->MEGA changes in docs * Mega->MEGA in config auto * style and quality fixes * Apply suggestions from code review Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * added Mega prefixes where missing, reverted MegaSequenceNorm to if-else, other module renaming requested in PR * style and quality fixes + readme updates pointing to main --------- Co-authored-by:
-
- 06 Mar, 2023 1 commit
-
-
PD Hall authored
* docs: improve clarity for clm/mlm * docs: remove incorrect explanation * docs: remove incorrect explanation --------- Co-authored-by: pdhall99 <pdhall99>
-
- 27 Feb, 2023 1 commit
-
-
Thomas Paviot authored
* fix wrong url * typos in english documentation
-
- 10 Feb, 2023 1 commit
-
-
Jannis Vamvas authored
* Add X-MOD to Readme * Add documentation for X-MOD * Implement X-MOD * Fix formatting of X-MOD docs * Change signature of X-MOD forward methods to use lang_ids * Minor changes * Rebase with main and run make fix-copies * Make suggested changes to docstrings * Improve code readability Co-authored-by:
Younes Belkada <49240599+younesbelkada@users.noreply.github.com> * Fix code style * Conversion script: Remove asserts and type annotations * Remove _TOKENIZER_FOR_DOC * XMOD -> Xmod * Update copyright note * Fix doctests * Fix docstring * Add integration test for FillMaskPipeline * Revert "Add integration test for FillMaskPipeline" This reverts commit 4381eb3b1d0f5d85785f89caba83928e6efa6d1f. * Add end-to-end integration test for mask fill * make style * Rebase with main and make fix-copies --------- Co-authored-by:
-
- 02 Feb, 2023 1 commit
-
-
Steven Liu authored
fix formatting
-
- 27 Jan, 2023 1 commit
-
-
Maria Khalusova authored
* initial commit. added tip placeholders and a script * removed unused imports, fixed paths * fixed generated links * make style * split language modeling doc into two: causal language modeling and masked language modeling * added check_task_guides.py to make fix-copies * review feedback addressed
-
- 21 Nov, 2022 1 commit
-
-
Steven Liu authored
*
📝 start adding inference section to task guides *✨ make style *📝 add multiple choice * add rest of inference sections * make style * add compute_metric, push_to_hub, pipeline * make style * add updated sequence and token classification * make style * make edits in token classification * add audio classification * make style * add asr * make style * add image classification * make style * add summarization * make style * add translation * make style * add multiple choice * add language modeling * add qa * make style * review and edits * apply reviews * make style * fix call to processor * apply audio reviews * update to better asr model * make style
-
- 07 Sep, 2022 1 commit
-
-
Matt authored
* Update TF fine-tuning docs * Fix formatting * Add some section headers so the right sidebar works better * Squiggly it * Update docs/source/en/training.mdx Co-authored-by:
Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/en/training.mdx Co-authored-by:
-
- 06 Jul, 2022 1 commit
-
-
Sylvain Gugger authored
* Link to the Datasets doc * Remove unwanted file
-
- 28 Jun, 2022 1 commit
-
-
Bill Ray authored
-
- 04 Apr, 2022 1 commit
-
-
Sylvain Gugger authored
* Reorganize doc for multilingual support * Fix style * Style * Toc trees * Adapt templates
-
- 25 Mar, 2022 1 commit
-
-
Sylvain Gugger authored
-
- 22 Mar, 2022 1 commit
-
-
Steven Liu authored
*
✨ refactor code samples with framework-specific blocks *✨ update training.mdx *🖍 apply feedback
-
- 18 Mar, 2022 1 commit
-
-
Steven Liu authored
*
🖍 fix links in guides *🖍 apply feedback
-
- 15 Mar, 2022 1 commit
-
-
Sylvain Gugger authored
* First files * More files * Last files * Style
-
- 23 Feb, 2022 1 commit
-
-
Steven Liu authored
* clean commit of changes to NLP tasks *
🖍 apply feedback *📝 move tf data collator in multiple choice Co-authored-by:Steven <stevhliu@gmail.com>
-
