Discourage checkpointing large training caches - #133
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Good job. |
| - Train until validation performance stops improving, and output the best checkpoint. | ||
| - Save all artifacts needed for inference (model file, tokenizers, etc...). | ||
| - Save only artifacts needed for inference (model file, tokenizers, small preprocessing metadata, small copied source files needed by inference, etc...). | ||
| - Do not save regenerable training caches, full train/validation feature tensors, embedding arrays, PHACT tensor arrays, downloaded package caches, or prediction-diagnostic dumps in training_artifacts or leave them elsewhere in the step directory. |
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I think the prompt gets too much in detail (e.g. PHACT tensor arrays is specific to a problem). i.e. I would try to make it more general
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an attempt to stop the agent putting large cache files on .git