Aime seq #90
Open
Aime seq #90
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
added 30 commits
December 11, 2024 06:46
added 22 commits
March 12, 2025 04:29
lchen001
reviewed
Apr 14, 2025
| ) | ||
| self.evalreporting_comp.metric_config.init_args["model_output_col"] = "student_extracted_answer" | ||
|
|
||
| component_configs.append(self.evalreporting_comp) |
There was a problem hiding this comment.
This only uses the evalreporting. Perhaps store the final result in a data_post_processing component so that all eval-related components only need to pick up results from it? See this as an example.
| resume_from_dict = {} | ||
|
|
||
|
|
||
| class AIME_SEQ_PIPELINE(AIME_PIPELINE): |
There was a problem hiding this comment.
Should we have a test for this class?
added 7 commits
April 15, 2025 19:58
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
1- User config for teacher-student multi-agent scenario in AIME
2- Handling empty dataframes across the framework
3- Small AIME extractor fix to capture this format: Final Answer: [45]