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apwic/
sentiment-lora-r2a1d0.15-1

Name: sentiment-lora-r2a1d0.15-1
Availability: InStock

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sentiment-lora-r2a1d0.15-1

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
0.5664	1.0	122	0.5221	0.7218	0.6580	0.6432	0.6487
0.5148	2.0	244	0.5111	0.7243	0.6758	0.6899	0.6810
0.4924	3.0	366	0.4791	0.7444	0.6884	0.6741	0.6799
0.4615	4.0	488	0.4651	0.7644	0.7148	0.7058	0.7099
0.4516	5.0	610	0.4581	0.7644	0.7214	0.7408	0.7286
0.4291	6.0	732	0.4295	0.7895	0.7462	0.7385	0.7421
0.4194	7.0	854	0.4191	0.7995	0.7581	0.7606	0.7593
0.3994	8.0	976	0.4048	0.8120	0.7745	0.7645	0.7691
0.3919	9.0	1098	0.3950	0.8246	0.7954	0.7659	0.7778
0.3762	10.0	1220	0.3881	0.8271	0.8022	0.7626	0.7777
0.3704	11.0	1342	0.3806	0.8271	0.7949	0.7776	0.7853
0.3642	12.0	1464	0.3733	0.8421	0.8122	0.8008	0.8061
0.3614	13.0	1586	0.3753	0.8321	0.8092	0.7687	0.7842
0.3474	14.0	1708	0.3695	0.8396	0.8155	0.7840	0.7969
0.3479	15.0	1830	0.3675	0.8421	0.8142	0.7958	0.8040
0.3347	16.0	1952	0.3649	0.8421	0.8142	0.7958	0.8040
0.335	17.0	2074	0.3653	0.8371	0.8114	0.7822	0.7943
0.3361	18.0	2196	0.3632	0.8396	0.8128	0.7890	0.7992
0.3343	19.0	2318	0.3636	0.8371	0.8114	0.7822	0.7943
0.3347	20.0	2440	0.3633	0.8396	0.8128	0.7890	0.7992