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| author | Laurent Mazare <laurent.mazare@gmail.com> | 2023-08-01 17:23:07 +0100 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2023-08-01 17:23:07 +0100 |
| commit | a27239f3d9b77ad4c300de38d43c6ad64d6b5ea6 (patch) | |
| tree | 8f31406d35aff7b5c6aecbfbdac773cf31574fce /candle-core/tests/indexing_tests.rs | |
| parent | babee9f011805f59868b67053bdb8cce0e221e18 (diff) | |
| download | candle-a27239f3d9b77ad4c300de38d43c6ad64d6b5ea6.tar.gz candle-a27239f3d9b77ad4c300de38d43c6ad64d6b5ea6.tar.bz2 candle-a27239f3d9b77ad4c300de38d43c6ad64d6b5ea6.zip | |
Add training for the llama2.c example (#296)
* Rework the commands and run inference by default.
* Add the training module and load the training dataset.
* Random dataset iterator.
* Proper valid-loss computation.
* Compute the evaluation loss.
* Add more substance to the training loop.
Diffstat (limited to 'candle-core/tests/indexing_tests.rs')
0 files changed, 0 insertions, 0 deletions