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Developing and Evaluating Naïve Transformer model for Seizure Detection on EEG

Author Michel Laji with Supervisor Doctoral researcher, Ali Beikmohammadi DSV, Stockholm University

Hyperparameters

num_epochs = 2000 batch_size = 10 learning_rate = 0.0001

Result

Test Loss = 0.1643 Test Accuracy = 0.9661 Precision = 0.9677 Recall = 0.9661 F1 Score = 0.9666 Overall Accuracy = 0.9661

AUC_L2_0 01_69 L2 Log 2 Training vs Validation loss_{regularization_type}{lambda_value}{last_epoch}

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