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I'm noticing that the transformer and the SL-GCN architectures, while learning on WLASL2000, have an accuracy curve that resembles a sine curve with period of about 20 epochs and amplitude of about 5-10%. I am using the example config provided in the repo, and verified that the batches are being shuffled. I have also played around with logging on_step=True in case this is an artifact of torch.nn.log, but that didn't help either. Any ideas why this is happening?
The text was updated successfully, but these errors were encountered:
The oscillation usually becomes negligible after a good no. of epochs.
But you can also remove this from the config. Shouldn't affect the results too much I believe.
I'm noticing that the transformer and the SL-GCN architectures, while learning on WLASL2000, have an accuracy curve that resembles a sine curve with period of about 20 epochs and amplitude of about 5-10%. I am using the example config provided in the repo, and verified that the batches are being shuffled. I have also played around with logging
on_step=True
in case this is an artifact of torch.nn.log, but that didn't help either. Any ideas why this is happening?The text was updated successfully, but these errors were encountered: