Modelpublic

Sahron/analisis-sentiment-indobert8850

sourceHugging Faceapache-2.0updated 1y agoView on Hugging Face

1likes9downloads

Model Card

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) — 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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