Merge ft_experimental_v1 branch to main#887
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- Added a logger which will log onto console and file. This code is similar to existing QEff. Finetuning logger code. - Also added dist_utils which serves as utility code when dealing with distributed training. - Added logger test cases for sanity checks. --------- Signed-off-by: Meet Patel <meetkuma@qti.qualcomm.com> Signed-off-by: Sharvari Medhe <smedhe@qti.qualcomm.com> Signed-off-by: Ann Kuruvilla <akuruvil@qti.qualcomm.com>
cherry picking PRs- 697,658,667,666,656,652,647,649,645 --------- Signed-off-by: Meet Patel <meetkuma@qti.qualcomm.com> Signed-off-by: Tanisha Chawada <tchawada@qti.qualcomm.com> Signed-off-by: Dhiraj Kumar Sah <dhirajku@qti.qualcomm.com> Signed-off-by: Sharvari Medhe <smedhe@qti.qualcomm.com> Signed-off-by: Ann Kuruvilla <akuruvil@qti.qualcomm.com> Signed-off-by: Swati Allabadi <sallabad@qti.qualcomm.com> Signed-off-by: Ann Kuruvilla <akuruvil@qti.qualcomm.com>
we are only cherry-picking PR-787, 791,813,795, skipping rebasing PR 785, cherry-picking experimental related branches from PR 692,747 --------- Signed-off-by: Swati Allabadi <sallabad@qti.qualcomm.com> Signed-off-by: Sharvari Medhe <smedhe@qti.qualcomm.com> Signed-off-by: Tanisha Chawada <tchawada@qti.qualcomm.com> Signed-off-by: Ann Kuruvilla <akuruvil@qti.qualcomm.com> Co-authored-by: Ann Kuruvilla <akuruvil@qti.qualcomm.com> Signed-off-by: Ann Kuruvilla <akuruvil@qti.qualcomm.com>
Signed-off-by: Ann Kuruvilla <akuruvil@qti.qualcomm.com>
Adding config file to support style remix dataset --------- Signed-off-by: Tanisha Chawada <tchawada@qti.qualcomm.com> Signed-off-by: Ann Kuruvilla <akuruvil@qti.qualcomm.com>
Signed-off-by: Ann Kuruvilla <akuruvil@qti.qualcomm.com>
Signed-off-by: Ann Kuruvilla <akuruvil@qti.qualcomm.com>
…ntation (#893) 1) Added unit test cases for Pipeline Parallelism 2) Added documentation on how to run these tests 3) Created a constants file Signed-off-by: Swati Allabadi <sallabad@qti.qualcomm.com> Co-authored-by: Swati Allabadi <sallabad@qti.qualcomm.com> Signed-off-by: Ann Kuruvilla <akuruvil@qti.qualcomm.com>
Signed-off-by: Ann Kuruvilla <akuruvil@qti.qualcomm.com>
Signed-off-by: Ann Kuruvilla <akuruvil@qti.qualcomm.com>
Signed-off-by: Ann Kuruvilla <akuruvil@qti.qualcomm.com>
Signed-off-by: Ann Kuruvilla <akuruvil@qti.qualcomm.com>
Signed-off-by: Ann Kuruvilla <akuruvil@qti.qualcomm.com>
Added testcase to test compare loss and metrics for different sdks to stable sdk Signed-off-by: Tanisha Chawada <tchawada@qti.qualcomm.com>
Updating PP CLI command as per latest changes in config manager In future, this command should also be updated if any changes are done in single SOC CLI command Signed-off-by: Swati Allabadi <sallabad@qti.qualcomm.com> Co-authored-by: Swati Allabadi <sallabad@qti.qualcomm.com> Signed-off-by: Ann Kuruvilla <akuruvil@qti.qualcomm.com>
Signed-off-by: Ann Kuruvilla <akuruvil@qti.qualcomm.com>
Signed-off-by: Ann Kuruvilla <akuruvil@qti.qualcomm.com>
Signed-off-by: Ann Kuruvilla <akuruvil@qti.qualcomm.com>
Signed-off-by: Ann Kuruvilla <akuruvil@qti.qualcomm.com>
Added the following support for easy visualization of training and validation statistics: 1. train_logger callback function which captures the per epoch time, per epoch loss metric and per epoch perplexity 2. This function also captures number of trainable parameters, number of samples in training and eval dataset 3. All these are logged into a log file which can be given as an input by user by setting the flag --log_file_path in the input config .yaml file. Signed-off-by: abhamidi <abhamidi@qti.qualcomm.com> Signed-off-by: Ann Kuruvilla <akuruvil@qti.qualcomm.com>
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Signed-off-by: Anusha V.S Bhamidipati <abhamidi@qti.qualcomm.com>
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added 4 commits
April 27, 2026 16:55
…ults in trainer config Signed-off-by: Ann Kuruvilla <akuruvil@qti.qualcomm.com>
Signed-off-by: Ann Kuruvilla <akuruvil@qti.qualcomm.com>
Signed-off-by: Ann Kuruvilla <akuruvil@qti.qualcomm.com>
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Merge HF Trainer FT code base to main
Main API file:
QEfficient/cloud/finetune_experimental.pyDocumentation:
docs/source/hf_finetune.md– End‑to‑end fine‑tuning pipeline details and sample commands to kick-offdocs/source/config.md– All training hyperparameters and usage usingconfig.yaml