Comments (2)
I think it is the same as saving torch model, but for the testing samples are not the same among all runs, you should save those sample at the same time after the end of each run. If you want to reduplicate each incremental step (like the figure 2 in ASER), you could just save the model after finishing trainning each task.
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@czjghost Can you please give an example code of how to save the model and the training and evaluation results?
Thanks in advance
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