Feat/intragen experiments (#414)

* added curriculum

* readapted readme

* corrected small errors

* Delete eval/eval/r1/algorithmic/word_sorting.json

* removed redundant argument

* added spell

* removed duplicated fit

* changed config

* added composite changes

* added composite changes

* updated yaml

* added spell backward

* updated read me

* added qwen2.5

* added

* Add files via upload

* updated missing trainer func

* updated curr

* updated spell back

* updated correctness score func

* updated configs

* added local evals

* added updates

* updated datasets

* added fsdp to hf utility

* added algorithmic qwen 3b yaml

* updated read me

* updated configs

* added preappend token

* updated with thinking token

* updated test score board

* resolved comments

* added evaluation scripts

* removed results from pr

* added config

* added partial reward scoring

* added evaluation composites

* added training configs

* added games eval

* added rubriks cube

* resolved merge cinflicts

* added games config

* added latest eval configs

* updated strucutre

* Delete training/evaluations/eval_graphs_composite.yaml

---------

Co-authored-by: joesharratt1229 <joesharrat1229@gmail.com>
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joesharratt1229 2025-04-16 07:04:52 +01:00 committed by GitHub
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commit d0ef136d5b
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21 changed files with 1331 additions and 48 deletions

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@ -55,9 +55,9 @@ def test_rubikscube_items():
assert dataset.score_answer(answer=None, entry=item) == 0.0
if item["metadata"]["example_correct_answer"] != "R":
assert dataset.score_answer(answer="R", entry=item) == 0.05
assert dataset.score_answer(answer="R", entry=item) == 0.01
assert dataset.score_answer(answer="R2 R3 R4 R5 R'2 R'3", entry=item) == 0.05
assert dataset.score_answer(answer="R2 R3 R4 R5 R'2 R'3", entry=item) == 0.01
if len(item["metadata"]["example_correct_answer"]) > 0:
assert dataset.score_answer(answer="", entry=item) == 0.01