Logging support added for HF Trainer stack#943
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quic-akuruvil merged 1 commit intoquic:ft_experimental_v1from Apr 27, 2026
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Logging support added for HF Trainer stack#943quic-akuruvil merged 1 commit intoquic:ft_experimental_v1from
quic-akuruvil merged 1 commit intoquic:ft_experimental_v1from
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…lidation 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>
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Hi @quic-akuruvil, please use this PR for logger as it is rebased with ft_experimental_v1 branch and all the comments of PR #938 have been addressed here. |
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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>
quic-akuruvil
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Apr 27, 2026
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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Added the following support for easy visualization of training and validation statistics: