Fix: Gradient Accumulation issue (#1980)

* feat: support new arg num_items_in_batch

* use kwargs to manage extra unknown kwargs for now

* upgrade against upstream transformers main

* make sure trl is on latest too

* fix for upgraded trl

* fix: handle trl and transformer signature change

* feat: update trl to handle transformer signature

* RewardDataCollatorWithPadding no longer has max_length

* handle updated signature for tokenizer vs processor class

* invert logic for tokenizer vs processor class

* processing_class, not processor class

* also handle processing class in dpo

* handle model name w model card creation

* upgrade transformers and add a loss check test

* fix install of tbparse requirements

* make sure to add tbparse to req

* feat: revert kwarg to positional kwarg to be explicit

---------

Co-authored-by: Wing Lian <wing.lian@gmail.com>
This commit is contained in:
NanoCode012
2024-10-25 22:28:23 +07:00
committed by GitHub
parent 1d6a5e2bd6
commit 2501c1a6a3
11 changed files with 170 additions and 98 deletions

View File

@@ -62,7 +62,7 @@ jobs:
run: |
pip3 show torch
pip3 install -U -e .
pip3 install -r requirements-tests.txt
pip3 install -r requirements-dev.txt -r requirements-tests.txt
- name: Run tests
run: |