Added ability to try loading the latest checkpoint from save folders #717
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Tested the 3 main scenarios: no existing checkpoint, only remote checkpoints, local + remote checkpoints. |
epwalsh
approved these changes
Aug 30, 2024
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Issue: Our training runs never finish in 1 run of
train.py. Currently we don't have a nice way to continue training using the same config; we have to set theload_pathto the latest checkpoint.Fix: Add an option that tries loading the latest checkpoint from the local and remote save folders (assuming
load_pathis not set). If there are no checkpoints in either folder, then the model initializes from scratch as usual. If this option (--try_load_latest_save) is set toTruefor both the initial and subsequent runs, then the first run will initialize and save an initial checkpoint while subsequent runs will resume from the latest checkpoint.UPDATE: Changed
try_load_latest_saveto overrideload_path. This enables using the same config for first and subsequent runs when starting a run using a checkpoint and saving to a different location.