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apwic/
sentiment-pt-pl50-3

Name: sentiment-pt-pl50-3
Availability: InStock

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sentiment-pt-pl50-3

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
0.5469	1.0	122	0.4896	0.7444	0.6874	0.6516	0.6620
0.4431	2.0	244	0.4094	0.8070	0.7671	0.7685	0.7678
0.3667	3.0	366	0.3514	0.8321	0.8194	0.7562	0.7772
0.3012	4.0	488	0.3064	0.8571	0.8299	0.8214	0.8255
0.2689	5.0	610	0.2962	0.8647	0.8387	0.8317	0.8351
0.2444	6.0	732	0.2888	0.8647	0.8367	0.8367	0.8367
0.232	7.0	854	0.2827	0.8697	0.8438	0.8403	0.8420
0.2169	8.0	976	0.2947	0.8797	0.8651	0.8374	0.8494
0.1989	9.0	1098	0.2860	0.8772	0.8547	0.8456	0.8500
0.1968	10.0	1220	0.2905	0.8797	0.8633	0.8399	0.8502
0.1771	11.0	1342	0.3071	0.8797	0.8600	0.8449	0.8518
0.1766	12.0	1464	0.3037	0.8672	0.8463	0.8260	0.8351
0.1622	13.0	1586	0.3152	0.8747	0.8552	0.8363	0.8448
0.1521	14.0	1708	0.3112	0.8797	0.8539	0.8574	0.8556
0.1442	15.0	1830	0.3024	0.8872	0.8672	0.8577	0.8622
0.1481	16.0	1952	0.3089	0.8822	0.8610	0.8517	0.8561
0.1431	17.0	2074	0.3058	0.8847	0.8599	0.8634	0.8616
0.1393	18.0	2196	0.3182	0.8772	0.8535	0.8481	0.8507
0.1349	19.0	2318	0.3220	0.8797	0.8633	0.8399	0.8502
0.1359	20.0	2440	0.3160	0.8797	0.8572	0.8499	0.8534