Any idea why the performance accuracy is so low on the sample task you provide?
I added the following lines to test accuracy:
output = logits.transpose(1, 2)predicts = F.softmax(output, dim=1).argmax(dim=1)print((predicts == target).sum().item() / len(target))
The accuracy for the task is ~0.01% after 100 epochs.
Hi author,
Any idea why the performance accuracy is so low on the sample task you provide?
I added the following lines to test accuracy:
output = logits.transpose(1, 2)
predicts = F.softmax(output, dim=1).argmax(dim=1)
print((predicts == target).sum().item() / len(target))
The accuracy for the task is ~0.01% after 100 epochs.