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
Loss per Epoch
Classification Report pada Data Testing
Confusion Matrix pada Data Testing
Distribusi Sentimen Hasil Pred Pada Data Testing
WordCloud Hasil Prediksi Pada Data Testing
Frekuensi Kata Hasil Prediksi Pada Data Testing
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Model tree for Sahron/analisis-sentiment-indobert8850
Base model
indobenchmark/indobert-base-p1





