GitLab

* [FIX] Initial code to disable multi-proc for stderr

* add docs; align no-mp bootstrap with mp

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Co-authored-by: Baber <baber@hey.com>

* New healthcare benchmark: careqa

* LAUNCH_MN5_ACC <python main.py --config config/mn5.yml --models Llama-3.2-1B-Instruct --tasks careqa_open --num_fewshot 0>

* Add fixes, READMES, and remove task_list.txt

* pre-commit passed, add formatting updates; add nanmean agg_metric

* Fix import error.

* Wrapped imports in try excepts

* Wrapped imports in try excepts; also metrics to catch bert_score import error

* Try except to catch ImportErrors as well

* use np.nan

* pre-commit

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Co-authored-by: PabloAgustin <pablo.martin@bsc.es>
Co-authored-by: Baber <baber@hey.com>

* changed source of eval_logger

* allow eval_logger to be set from args

* removed verbosity arg from non-main methods

* fix logging

* pre-commit

* set verbosity in eval logger

* replace utils.eval_logger

* fix logging in main

* add logging to docs

* add logging message

* nit

* add logging to docs

* refactor setup_logging to utils

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Co-authored-by: Baber <baber@hey.com>

* update pre-commit

* refactor: move scipy and sklearn module imports to func imports
Signed-off-by: Nathan Weinberg <nweinber@redhat.com>

* refactor: consolidate weighted_f1_score func into lm_eval utils
Signed-off-by: Nathan Weinberg <nweinber@redhat.com>

* lint: allow for utils file to have unused imports

this allows for shared functions to be defined only
once while allowing for the YAML function importing
to continue working
Signed-off-by: Nathan Weinberg <nweinber@redhat.com>

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Signed-off-by: Nathan Weinberg <nweinber@redhat.com>

* add afrixnli to task

* add chat completion

* remove chat completion -untested

* afrimmlu added

* afrimmlu folder update

* afrimmlu folder update

* updated prompt

* remove print

* add afrimgsm -direct

* add squad metric

* fix bash script

* remove direct util, update common yaml

* remove print

* add few show. metric fixes

* fix direct path, add bash script for gpt models

* added transate test

* update afrixnli tasks

* update afrixnli tasks

* update metrics for afrixnli

* prompt translations fix

* prompt translations fix

* filter and metric fix -mgsm

* remove squad metric

* remove squad metric

* add f1 score to mgsm

* add f1 score to mgsm

* update native-direct with lin

* change f1 function

* add lin to utils

* add utils

* remove test limit

* remove test configs

* add swahili to mmlu

* change eng to ewe in ewe yaml mmlu

* add squad metric to mgsm, remove whitespace filter

* added translate test

* added afrixnli_translate

* fix exact match valueError

* fix exact match valueError

* restructure mmlu folder

* spacing

* remove afrimmlu_translate folder

* add utility

* format task name, clean ups

* modefied mgsm

* update on afrimgsm

* update on afrimgsm

* removed utils

* other mgsm varieties

* other mgsm varieties

* adding trasnslate direct

* Update translate_direct_yaml

* add manual xnli prompt, add multichoice for openai models, and adapt multichoice metric for openai model

* edit for open models

* Update translate_direct_yaml

* add verbalizer for xnli

* change xnli from multiple choice to generate

* add manual accuracy scores

* revert xnli to multiple choice

* change afrimgsm utils

* revert xnli to multiple_choice

* cleanups and readmes

* remove openai fixes and unused regex

* pr review changes

* revert metrics.py, task.py and extraction.py to main version

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Co-authored-by: Israel Abebe Azime <azime@cg.uni-saarland.de>
Co-authored-by: Israel Abebe Azime <se.israel.abebe@gmail.com>

* add handling for bootstrap_iters=0 case

* add more detail to docstring

* run precommit

`gold_one_hot` needs to follow the dimension of predictions so that it still works when `--limit` is used and the indexes in gold does not cover all gold indexes.

* add brier_score

* process brier_score

* brier score is working for N-sized class

* fxied brier score

* add TED to BigBench and Brier score to MMLU

* format

* Update metrics.py

* Update task.py

* Update generate_until_template_yaml

* Delete lm_eval/tasks/bigbench/aux_metric.py

* Update generate_until_template_yaml

* Update _default_template_yaml

* Update _generate_configs.py

* Update _generate_configs.py

* Update _generate_configs.py

* fix (format?)

* format?

* format, once more

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Co-authored-by: Hailey Schoelkopf <65563625+haileyschoelkopf@users.noreply.github.com>

* add key lookup for same contexts

* nit

* appease pre-commit

* nit

* use `expand` (in-place view) rather than `repeat`

* try mixed grouping

* add docs.

* nit

* nit

* nits

* fix tests

* Move greedy_tokens calculation out of cache loop

* nit

* nits

* add test

* nits

* fix name conflict

* fix name conflict

* chunk tensor

* move Collator

* nits/docstring

* fixup

* fixup

* group contexts only for decoders

* pre-commit

* fix `generate_until` test

* fix `generate_until` test

* Update lm_eval/models/huggingface.py
Co-authored-by: Hailey Schoelkopf <65563625+haileyschoelkopf@users.noreply.github.com>

* add docs

* nit

* add docs

* add docs

* add 'logits_cache' arg

* bugfix

---------
Co-authored-by: Hailey Schoelkopf <65563625+haileyschoelkopf@users.noreply.github.com>

* fix weight_by_size condition

* add tests, update stderr formula slightly

* apply pre-commit

* update formula for stderr aggregation

* hack: see what happens when using stderr_for_metric bootstrapping on a group

* undo bootstrap_for_stderr test

* factor out variance-aggregation formulas into api.metrics

* fix failing tests

* remove stray print

* update comment

* further detail in comment

* add back initialize_tasks() call

* fix format

* add bypass metric

* fixed `bypass` metric.

* add task attributes if predict_only

* add `predict_only` checks

* add docs

* added `overide_metric`, `override_config` to `Task`

* nits

* nit

* changed --predict_only to generations; nits

* nits

* nits

* change gen_kwargs warning

* add note about `--predict_only` in README.md

* added `predict_only`

* move table to bottom

* nit

* change null aggregation to bypass (conflict)

* bugfix; default `temp=0.0`

* typo

* add ruff and isort. remove black and flake8

* remove unnecessary dependencies

* remove dependency from table

* change order

* ran ruff

* check 3.9

* exclude evaluator

* update CI workflow

* use ruff config in pyproject.toml

* test

* add isort rules to ruff

* sort imports

* import `make_table`

* try stages for no-commit-to-branch

* turn on mypy for pre-commit

* test

* test

* test

* change no-commit-to-branch to default

* nits

* fixed dependency

This adds a bunch of simple annotations suggested by https://github.com/JelleZijlstra/autotyping.