Commit Graph

5 Commits

Author SHA1 Message Date
Wing Lian
dd8bad06d0 remove strict=false from example yamls [skip ci] (#2523) [skip ci] 2025-04-12 07:25:11 -07:00
Wing Lian
9f824ef76a simplify the example configs to be more minimal and less daunting (#2486) [skip ci]
* simplify the example configs to be more minimal and less daunting

* drop empty s2_attention from example yamls
2025-04-04 13:47:26 -04:00
NanoCode012
cf0c79d52e fix: minor patches for multimodal (#2441)
* fix: update chat_template

* fix: handle gemma3 showing a lot of no content for turn 0

* fix: remove unknown config from examples

* fix: test

* fix: temporary disable gemma2 test

* fix: stop overwriting config.text_config unnecessarily

* fix: handling of set cache to the text_config section

* feat: add liger gemma support and bump liger to 0.5.5

* fix: add double use_cache setting

* fix: add support for final_logit_softcap in CCE for gemma2/3

* fix: set use_cache before model load

* feat: add missing layernorm override

* fix: handle gemma3 rmsnorm

* fix: use wrapper to pass dim as hidden_size

* fix: change dim to positional

* fix: patch with wrong mlp

* chore: refactor use_cache handling

* fix import issues

* fix tests.e2e.utils import

---------

Co-authored-by: Wing Lian <wing@axolotl.ai>
2025-03-31 13:40:12 +07:00
Sunny Liu
1c14c4a15c Add hub model id config options to all example yml files (#2196) [skip ci]
* added hub model_id in example yml

* add hub model id to example yml
2024-12-17 11:24:30 -05:00
Oliver Molenschot
b620ed94d0 Add Exact Deduplication Feature to Preprocessing Pipeline (#2072)
* Add example YAML file for training Mistral using DPO

* added deduplication code

* Add exact deduplication feature and update examples

* Improve deduplication for train/eval overlap

Changed the deduplication function to use a more memory-efficient hashing method. Applied Git suggestions to improve clarity and maintainability.\n\nThe deduplication now handles cases where train and eval datasets have overlapping elements.

* Improve deduplication for train/eval overlap

Changed the deduplication function to use a more memory-efficient hashing method. Applied Git suggestions to improve clarity and maintainability.\n\nThe deduplication now handles cases where train and eval datasets have overlapping elements.

* Apply suggestions from code review

To handle the original case where we do not do deduplication

Co-authored-by: Wing Lian <wing.lian@gmail.com>

* Improve false collision detection to ensure dataset integrity

- Added test cases to simulate and verify handling of forced hash collisions between datasets.
- Ensured that datasets with identical hashes but different content are correctly identified, preventing incorrect deduplication.
- Updated unit tests to include scenarios where collisions occur across both training and evaluation datasets, as well as within a single dataset.

* Moved the constants file to the tests folder

- Relocated `constants.py` to the `tests` folder to improve modularity and maintain a clear separation between source and test files.
- Renamed `cicd/tests.py` to `cicd/cicd_tests.py` to resolve a conflict with `tests/__init__.py`, which caused Mypy to fail due to duplicate module names.
- Updated all references to `cicd.tests` in the codebase to `cicd.cicd_tests` to reflect the renaming and ensure compatibility.
- These changes ensure Mypy passes the pre-commit hook and maintain alignment with the project's structure.

* revert some changes from previous commit and fix relative import

---------

Co-authored-by: Wing Lian <wing.lian@gmail.com>
Co-authored-by: Wing Lian <wing@axolotl.ai>
2024-12-02 08:47:10 -05:00