You can deploy this model and start earning money today!

apwic/
sentiment-pt-pl10-2

Name: sentiment-pt-pl10-2
Availability: InStock

Views

No views yet

sentiment-pt-pl10-2

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:

More information needed

More information needed

More information needed

The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.5533	1.0	122	0.5134	0.7268	0.6606	0.6242	0.6327
0.4779	2.0	244	0.4950	0.7419	0.7054	0.7349	0.7122
0.4097	3.0	366	0.3772	0.8246	0.8093	0.7459	0.7665
0.3451	4.0	488	0.3511	0.8446	0.8105	0.8251	0.8170
0.2959	5.0	610	0.3201	0.8546	0.8239	0.8272	0.8255
0.2727	6.0	732	0.3176	0.8647	0.8325	0.8642	0.8447
0.2595	7.0	854	0.2959	0.8747	0.8451	0.8613	0.8524
0.2409	8.0	976	0.2833	0.8897	0.8710	0.8595	0.8649
0.2298	9.0	1098	0.2894	0.8772	0.8535	0.8481	0.8507
0.2221	10.0	1220	0.2884	0.8872	0.8687	0.8552	0.8615
0.1986	11.0	1342	0.2855	0.8847	0.8648	0.8534	0.8588
0.1964	12.0	1464	0.2921	0.8822	0.8694	0.8392	0.8521
0.1783	13.0	1586	0.3104	0.8897	0.8710	0.8595	0.8649
0.1788	14.0	1708	0.3015	0.8897	0.8640	0.8745	0.8689
0.172	15.0	1830	0.3012	0.8847	0.8634	0.8559	0.8595
0.1563	16.0	1952	0.3159	0.8897	0.8632	0.8770	0.8695
0.1512	17.0	2074	0.3249	0.8847	0.8679	0.8484	0.8573
0.151	18.0	2196	0.3245	0.8822	0.8624	0.8492	0.8553
0.1461	19.0	2318	0.3282	0.8872	0.8687	0.8552	0.8615
0.1555	20.0	2440	0.3248	0.8872	0.8672	0.8577	0.8622