Hasil Train Loop

Epoch Train Loss Train ACC Train F1 Train REC Train PRE Valid Loss Valid ACC Valid F1 Valid REC Valid PRE Catatan
1 0.8074 0.6357 0.6347 0.6357 0.6343 0.6218 0.7230 0.6995 0.7050 0.7110 Model terbaik disimpan
2 0.5472 0.7728 0.7732 0.7728 0.7739 0.5335 0.7824 0.7515 0.7531 0.7563 Model terbaik disimpan
3 0.4165 0.8307 0.8313 0.8307 0.8321 0.4123 0.8380 0.8113 0.8127 0.8104 Model terbaik disimpan
4 0.3166 0.8751 0.8755 0.8751 0.8762 0.4554 0.8248 0.7951 0.7973 0.7971 VALID LOSS tidak membaik (1/2)
5 0.2593 0.8970 0.8973 0.8970 0.8979 0.4023 0.8441 0.8230 0.8300 0.8219 Model terbaik disimpan
6 0.2175 0.9160 0.9161 0.9160 0.9163 0.3470 0.8850 0.8633 0.8609 0.8665 Model terbaik disimpan
7 0.1940 0.9268 0.9269 0.9268 0.9271 0.3848 0.8704 0.8480 0.8484 0.8478 VALID LOSS tidak membaik (1/2)
8 0.1616 0.9411 0.9411 0.9411 0.9411 0.4156 0.8596 0.8377 0.8414 0.8354 VALID LOSS tidak membaik (2/2) โ€” Early stopping

Accuracy per Epoch

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Loss per Epoch

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Classification Report pada Data Testing

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Confusion Matrix pada Data Testing

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Distribusi Sentimen Hasil Pred Pada Data Testing

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WordCloud Hasil Prediksi Pada Data Testing

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Frekuensi Kata Hasil Prediksi Pada Data Testing

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