for-ai
Cannot output accuracy
Hello,I encountered a problem.Following the operation of the README, the training was successful. However, the output is xy_mse, and I want to output the accuracy.Therefore, the xy_mse of the train.py file is changed to acc, But the accuracy cannot be output.
I get the following error: ValueError:MetricSpec without specified prediction_key requires predictions tensor or single element dict, got {'X': <tf.Tensor 'cycle_gan/transforms/G/Reshape_1:0' shape=(64, 100, 202) dtype=float32>, 'Y': <tf.Tensor 'cycle_gan/transforms/F/Reshape_1:0' shape=(64, 100, 202) dtype=float32>}. I look forward to your answer,best wishes,thank you.
Which version of TF are you running?
I want to ask how you output the accuracy rate at that time. I changed the xy_mse of the train.py file to acc
Have you tried looking at the tensorboard for your run? I think we may log more metrics in the tensorboard than what we print to terminal.
Have you tried looking at the tensorboard for your run? I think we may log more metrics in the tensorboard than what we print to terminal.
Hello, I read the tensorboard, there are X_groundtruth_acc and Y_groundtruth_acc, but there is no final result acc
I think those accuracies are the final accuracies they report whether F and G have found the right encode() and decode() maps
I think those accuracies are the final accuracies they report whether F and G have found the right encode() and decode() maps
OK, thank you, but my X_groundtruth_acc and Y_groundtruth_acc are only about 60%, and my data set is vigenere345_brown200，What is going on, the accuracy of your thesis is 75.7%.
I would recommend double checking that all the hyperparameters are set as described in paper + appendix and ensure you're using the right timing signal etc.
Which version of TF are you running?
I want to ask how you output the accuracy rate at that time. I changed the xy_mse of the train.py file to acc
How did you output accuracy?
