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feat: support auto_stop_method for SFTTrainer experiments #27
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@danielelotito here's the PR for the auto-stop-method you developed |
Signed-off-by: Vassilis Vassiliadis <vassilis.vassiliadis@ibm.com>
Signed-off-by: Vassilis Vassiliadis <vassilis.vassiliadis@ibm.com>
…ameter Signed-off-by: Vassilis Vassiliadis <vassilis.vassiliadis@ibm.com>
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...tors/sfttrainer/ado_actuators/sfttrainer/wrapper_fms_hf_tuning/scripts/wrapper_sfttrainer.py
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plugins/actuators/sfttrainer/ado_actuators/sfttrainer/experiments/common.py
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Signed-off-by: Vassilis Vassiliadis <vassilis.vassiliadis@ibm.com>
Signed-off-by: Vassilis Vassiliadis <vassilis.vassiliadis@ibm.com>
…eriments Signed-off-by: Vassilis Vassiliadis <vassilis.vassiliadis@ibm.com>
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Signed-off-by: Vassilis Vassiliadis <vassilis.vassiliadis@ibm.com>
…ttrainer.py Signed-off-by: Vassilis Vassiliadis <vassilis.vassiliadis@ibm.com>
Signed-off-by: Vassilis Vassiliadis <vassilis.vassiliadis@ibm.com>
AlessandroPomponio
approved these changes
Sep 8, 2025
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LGTM thanks
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This PR adds a new method for automatically stopping measurements that divides the training runtime of a measurement into 2 parts:
The method then drops system metrics and training metrics (e.g. throughput) related to the Warmup phase. The final observed properties for measurements that use
auto_stop_method=1will only contain information from the Stable Phase.