Error while generating metric plots: Train_loss metric storing 70 values instead of 35" #269
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koch-tobias
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With default settings, train Loss is logged for each iteration, whereas val loss is logged for each epoch. Instead of plotting yourself, can you try opening Tensorboard? |
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I am currently facing a bit of an issue where my trained model's results are not being stored correctly for one specific metric.
My code is generating metric plots using the function 'get_model_results' which uses 'results_from_experiment' to gather results from the trained model for each epoch.
However, for the metric 'train_loss', 70 values are being stored instead of the expected 35 values. All other metrics are being stored correctly with 35 values. I am wondering if anyone has faced a similar issue before and if so, how did you solve it?
I would really appreciate any insights or suggestions that could help me resolve this issue.
Thank you!
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