yazidsupriadi/mbert_lstm_bot

Training Log: IndoBERT + LSTM for Bot Detection

Epoch 1 (2025-06-05T04:17:35.968045)

• Train Loss: 0.3809
• Train Accuracy: 0.8187 | Precision: 0.8006 | Recall: 0.8502 | F1: 0.8247
• Validation Accuracy: 0.8610 | Precision: 0.8526 | Recall: 0.8739 | F1: 0.8631
• ROC AUC Score: 0.9466

Epoch 2 (2025-06-05T04:20:39.750483)

• Train Loss: 0.3044
• Train Accuracy: 0.8594 | Precision: 0.8687 | Recall: 0.8478 | F1: 0.8582
• Validation Accuracy: 0.8692 | Precision: 0.8793 | Recall: 0.8569 | F1: 0.8680
• ROC AUC Score: 0.9548

Epoch 3 (2025-06-05T04:23:30.860537)

• Train Loss: 0.2859
• Train Accuracy: 0.8702 | Precision: 0.8870 | Recall: 0.8495 | F1: 0.8678
• Validation Accuracy: 0.8790 | Precision: 0.9145 | Recall: 0.8370 | F1: 0.8740
• ROC AUC Score: 0.9590

Epoch 4 (2025-06-05T04:26:21.222720)

• Train Loss: 0.2755
• Train Accuracy: 0.8754 | Precision: 0.8873 | Recall: 0.8608 | F1: 0.8739
• Validation Accuracy: 0.8808 | Precision: 0.8855 | Recall: 0.8754 | F1: 0.8804
• ROC AUC Score: 0.9617

Epoch 5 (2025-06-05T04:29:19.107384)

• Train Loss: 0.2692
• Train Accuracy: 0.8786 | Precision: 0.8931 | Recall: 0.8609 | F1: 0.8767
• Validation Accuracy: 0.8865 | Precision: 0.9089 | Recall: 0.8599 | F1: 0.8837
• ROC AUC Score: 0.9642

Epoch 6 (2025-06-05T04:32:16.337333)

• Train Loss: 0.2637
• Train Accuracy: 0.8811 | Precision: 0.8922 | Recall: 0.8676 | F1: 0.8798
• Validation Accuracy: 0.8865 | Precision: 0.9054 | Recall: 0.8639 | F1: 0.8842
• ROC AUC Score: 0.9647

Epoch 7 (2025-06-05T04:35:18.187117)

• Train Loss: 0.2557
• Train Accuracy: 0.8841 | Precision: 0.8964 | Recall: 0.8694 | F1: 0.8827
• Validation Accuracy: 0.8872 | Precision: 0.8989 | Recall: 0.8734 | F1: 0.8860
• ROC AUC Score: 0.9659

Epoch 8 (2025-06-05T04:38:11.179661)

• Train Loss: 0.2525
• Train Accuracy: 0.8878 | Precision: 0.8976 | Recall: 0.8762 | F1: 0.8868
• Validation Accuracy: 0.8902 | Precision: 0.9224 | Recall: 0.8529 | F1: 0.8863
• ROC AUC Score: 0.9658

Epoch 9 (2025-06-05T04:41:10.267043)

• Train Loss: 0.2471
• Train Accuracy: 0.8917 | Precision: 0.9062 | Recall: 0.8745 | F1: 0.8901
• Validation Accuracy: 0.8915 | Precision: 0.9035 | Recall: 0.8774 | F1: 0.8902
• ROC AUC Score: 0.9676

Epoch 10 (2025-06-05T04:44:06.457499)

• Train Loss: 0.2436
• Train Accuracy: 0.8908 | Precision: 0.9030 | Recall: 0.8762 | F1: 0.8894
• Validation Accuracy: 0.8895 | Precision: 0.8856 | Recall: 0.8953 | F1: 0.8904
• ROC AUC Score: 0.9682