Pushed the results of EEGNet to the respective folder of ETRA

results/ETRA/eegnet_ensemble/batches.log

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results/ETRA/eegnet_ensemble/info.log

+INFO:root:Started the Logging
+INFO:root:X training loaded.
+INFO:root:(129, 500, 36223)
+INFO:root:y training loaded.
+INFO:root:(1, 36223)
+INFO:root:Setting the shapes
+INFO:root:(36223, 500, 129)
+INFO:root:(36223, 1)
+INFO:root:(36223, 129, 500)
+INFO:root:Started running eegnet. If you want to run other methods please choose another model in the config.py file.
+INFO:root:Parameters...
+INFO:root:--------------- chans            : 129
+INFO:root:--------------- samples          : 500
+INFO:root:--------------- dropoutRate      : 0.5
+INFO:root:--------------- kernLength       : 64
+INFO:root:--------------- F1               : 32
+INFO:root:--------------- D                : 8
+INFO:root:--------------- F2               : 512
+INFO:root:--------------- norm_rate        : 0.5
+WARNING:tensorflow:Callbacks method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0196s vs `on_train_batch_end` time: 0.0461s). Check your callbacks.
+INFO:root:Parameters...
+INFO:root:--------------- chans            : 129
+INFO:root:--------------- samples          : 500
+INFO:root:--------------- dropoutRate      : 0.5
+INFO:root:--------------- kernLength       : 64
+INFO:root:--------------- F1               : 32
+INFO:root:--------------- D                : 8
+INFO:root:--------------- F2               : 512
+INFO:root:--------------- norm_rate        : 0.5
+INFO:root:Parameters...
+INFO:root:--------------- chans            : 129
+INFO:root:--------------- samples          : 500
+INFO:root:--------------- dropoutRate      : 0.5
+INFO:root:--------------- kernLength       : 64
+INFO:root:--------------- F1               : 32
+INFO:root:--------------- D                : 8
+INFO:root:--------------- F2               : 512
+INFO:root:--------------- norm_rate        : 0.5
+WARNING:tensorflow:Callbacks method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0193s vs `on_train_batch_end` time: 0.0426s). Check your callbacks.
+INFO:root:Parameters...
+INFO:root:--------------- chans            : 129
+INFO:root:--------------- samples          : 500
+INFO:root:--------------- dropoutRate      : 0.5
+INFO:root:--------------- kernLength       : 64
+INFO:root:--------------- F1               : 32
+INFO:root:--------------- D                : 8
+INFO:root:--------------- F2               : 512
+INFO:root:--------------- norm_rate        : 0.5
+WARNING:tensorflow:Callbacks method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0223s vs `on_train_batch_end` time: 0.0448s). Check your callbacks.
+INFO:root:Parameters...
+INFO:root:--------------- chans            : 129
+INFO:root:--------------- samples          : 500
+INFO:root:--------------- dropoutRate      : 0.5
+INFO:root:--------------- kernLength       : 64
+INFO:root:--------------- F1               : 32
+INFO:root:--------------- D                : 8
+INFO:root:--------------- F2               : 512
+INFO:root:--------------- norm_rate        : 0.5
+INFO:root:**********
+
+INFO:root:--- Runtime: 15647.785918235779 seconds ---
+INFO:root:Finished Logging