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[eval_llama] Add option to save checkpoint after eager transforms. #5045
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/5045
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit 441b996 with merge base 32d83b0 ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
@iseeyuan has imported this pull request. If you are a Meta employee, you can view this diff on Phabricator. |
Summary: As titled, Save the checkpoint after the eager model preparation is done. The reason for this option is that the checkpoint can be used to do evaluations in other evaluation platforms, or with data that is not available in this eval_llama. We save the checkpoint here for consistency with eval_llama. The accuracy results we get from eval_llama can be used as a reference to other evaluations. Differential Revision: D62150021 Pulled By: iseeyuan
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Summary: As titled, Save the checkpoint after the eager model preparation is done. The reason for this option is that the checkpoint can be used to do evaluations in other evaluation platforms, or with data that is not available in this eval_llama. We save the checkpoint here for consistency with eval_llama. The accuracy results we get from eval_llama can be used as a reference to other evaluations. Reviewed By: mergennachin Differential Revision: D62150021 Pulled By: iseeyuan
This pull request was exported from Phabricator. Differential Revision: D62150021 |
Summary: As titled, Save the checkpoint after the eager model preparation is done. The reason for this option is that the checkpoint can be used to do evaluations in other evaluation platforms, or with data that is not available in this eval_llama. We save the checkpoint here for consistency with eval_llama. The accuracy results we get from eval_llama can be used as a reference to other evaluations. Reviewed By: mergennachin Differential Revision: D62150021 Pulled By: iseeyuan
d2d56b1
to
72054a9
Compare
This pull request was exported from Phabricator. Differential Revision: D62150021 |
Summary: As titled, Save the checkpoint after the eager model preparation is done. The reason for this option is that the checkpoint can be used to do evaluations in other evaluation platforms, or with data that is not available in this eval_llama. We save the checkpoint here for consistency with eval_llama. The accuracy results we get from eval_llama can be used as a reference to other evaluations. Reviewed By: mergennachin, helunwencser Differential Revision: D62150021 Pulled By: iseeyuan
72054a9
to
b5813ba
Compare
This pull request was exported from Phabricator. Differential Revision: D62150021 |
Summary: As titled, Save the checkpoint after the eager model preparation is done. The reason for this option is that the checkpoint can be used to do evaluations in other evaluation platforms, or with data that is not available in this eval_llama. We save the checkpoint here for consistency with eval_llama. The accuracy results we get from eval_llama can be used as a reference to other evaluations. Reviewed By: mergennachin, helunwencser Differential Revision: D62150021 Pulled By: iseeyuan
b5813ba
to
441b996
Compare
This pull request was exported from Phabricator. Differential Revision: D62150021 |
As titled, Save the checkpoint after the eager model preparation is done. The reason for this option is that the checkpoint can be used to do evaluations in other evaluation platforms, or with data that is not available in this eval_llama. We save the checkpoint here for consistency with eval_llama. The accuracy results we get from eval_llama can be used as a reference to other evaluations.