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Summary of Changes
Hello @hiyuchang, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!
This pull request primarily introduces a new unit test for the "MIX" algorithm within the trainer module, ensuring its core functionalities are correctly implemented and verifiable. Additionally, it includes minor adjustments to batch size configurations in two example YAML files, which likely serve to align with updated training parameters or support the new test's operational context.
Highlights
- New Unit Test for MIX Algorithm: A comprehensive unit test TestTrainerMIX has been added to tests/trainer/trainer_test.py to validate the functionality of the "MIX" algorithm. This test configures various MIX-specific parameters and verifies metrics related to rollout, actor behavior (expert/usual), and response length, ensuring correct operation and checkpointing.
- Configuration Updates in Examples: The examples/mix_chord/mix_chord.yaml and examples/mix_math/mix_math.yaml files have been updated. Specifically, buffer.batch_size was changed from 40 to 32, and a new buffer.train_batch_size parameter set to 320 was added. A comment for train_batch_size_usual was also updated. These changes likely reflect refined batching strategies or align with the new test's setup.
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Code Review
This pull request adds a unit test for the MIX algorithm and updates some related example configuration files. The changes in the YAML configuration files are consistent and the new test case in tests/trainer/trainer_test.py properly covers the core functionality of the MIX algorithm. I have one suggestion to improve the structure and readability of the test configuration setup.
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/unittest-module-trainer |
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/unittest-module-trainer |
Summary
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/unittest-module-common |
Summary
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/unittest-module-trainer |
Summary
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Description
As the title says.
Checklist
Please check the following items before code is ready to be reviewed.