IndoBERT-Sentiment-Analysis

This model is a fine-tuned version of indobenchmark/indobert-base-p1 on the indonlu dataset. It achieves the following results on the evaluation set:

Model description

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The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1 Score
0.3499	0.27	500	0.2392	0.9310	0.9311
0.3181	0.55	1000	0.3354	0.9175	0.9158
0.3001	0.82	1500	0.2965	0.9238	0.9243
0.2534	1.09	2000	0.3513	0.9222	0.9218
0.1692	1.36	2500	0.2657	0.9405	0.9399
0.1543	1.64	3000	0.4046	0.9198	0.9191
0.1827	1.91	3500	0.2800	0.9317	0.9319
0.1061	2.18	4000	0.3352	0.9389	0.9389
0.0639	2.45	4500	0.4033	0.9373	0.9365
0.0709	2.73	5000	0.3508	0.9365	0.9360
0.0922	3.0	5500	0.3313	0.9397	0.9394
0.0274	3.27	6000	0.3635	0.9444	0.9440
0.0273	3.54	6500	0.4074	0.9389	0.9387
0.0414	3.82	7000	0.3863	0.9405	0.9405
0.0156	4.09	7500	0.4128	0.9413	0.9412
0.0067	4.36	8000	0.4469	0.9397	0.9399
0.0056	4.63	8500	0.4297	0.9444	0.9445
0.0124	4.91	9000	0.4227	0.9452	0.9451

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