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apwic/
sentiment-pt-pl30-1

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sentiment-pt-pl30-1

This model is a fine-tuned version of indolem/indobert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

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The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.5413	1.0	122	0.4949	0.7368	0.6763	0.6438	0.6531
0.4306	2.0	244	0.3954	0.8246	0.7902	0.8259	0.8019
0.3344	3.0	366	0.3397	0.8521	0.8370	0.7929	0.8099
0.2925	4.0	488	0.3211	0.8471	0.8264	0.7918	0.8058
0.2794	5.0	610	0.3064	0.8622	0.8314	0.8425	0.8365
0.2464	6.0	732	0.2857	0.8672	0.8356	0.8585	0.8453
0.2332	7.0	854	0.2846	0.8772	0.8496	0.8581	0.8537
0.2216	8.0	976	0.2906	0.8596	0.8360	0.8182	0.8262
0.2123	9.0	1098	0.2781	0.8697	0.8488	0.8303	0.8386
0.1911	10.0	1220	0.2896	0.8722	0.8562	0.8271	0.8395
0.1878	11.0	1342	0.2814	0.8747	0.8479	0.8513	0.8496
0.1797	12.0	1464	0.2830	0.8672	0.8402	0.8385	0.8394
0.1746	13.0	1586	0.2900	0.8672	0.8496	0.8210	0.8332
0.1677	14.0	1708	0.2798	0.8697	0.8411	0.8478	0.8443
0.1585	15.0	1830	0.2823	0.8722	0.8437	0.8521	0.8477
0.1575	16.0	1952	0.2816	0.8722	0.8413	0.8646	0.8511
0.146	17.0	2074	0.3027	0.8647	0.8377	0.8342	0.8359
0.1368	18.0	2196	0.2961	0.8672	0.8372	0.8485	0.8425
0.133	19.0	2318	0.3024	0.8622	0.8342	0.8325	0.8333
0.1377	20.0	2440	0.3019	0.8647	0.8377	0.8342	0.8359