Now multiple checkpoints will be saved after using -stopk option in train_model.py

[hamjam]

Patch description

In this PR, the train_model.py script has the option to keep and store multiple checkpoints based on validation metrics. Some checkpoints that have best validation metrics during training will be kept in the directory specified by --model-file. Resolves #4970

Testing steps

To test this PR, you can run something like parlai train_model --task babi:task10k:1 --model seq2seq --model-file seq2seq/babi_task10k --batchsize 32 --validation-every-n-secs 30 -stopk 5 -vstep 50 Note that -vstep option must be exist to save and store 5 top checkpoints in this example. For me, the list of files in the -model-file directory after 1350 steps of training is like this:

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This PR has not had activity in 30 days. Closing due to staleness.

[klshuster]

@jxmsML any interest in taking over this PR?

[hamjam]

Hi Kurt, Sorry for the late reply. I was very busy lately and I forgot to check my GitHub notifications recently. I can design tests as you mentioned in 2 weeks if there is no one interested.

On Mon, Jun 5, 2023 at 10:32 PM Kurt Shuster @.***> wrote:

@jxmsML https://github.com/jxmsML any interest in taking over this PR?

— Reply to this email directly, view it on GitHub https://github.com/facebookresearch/ParlAI/pull/4978#issuecomment-1577313816, or unsubscribe https://github.com/notifications/unsubscribe-auth/ADAJPOGUBJVRJVULJZYGWM3XJYULXANCNFSM6AAAAAAVWOHFD4 . You are receiving this because you were mentioned.Message ID: @.***>