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apwic/
sentiment-lora-r4a1d0.15-0

Name: sentiment-lora-r4a1d0.15-0
Availability: InStock

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sentiment-lora-r4a1d0.15-0

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
0.5621	1.0	122	0.5100	0.7218	0.6593	0.6482	0.6527
0.5049	2.0	244	0.4890	0.7343	0.6945	0.7195	0.7011
0.4776	3.0	366	0.4480	0.7594	0.7150	0.7323	0.7216
0.4422	4.0	488	0.4104	0.7945	0.7524	0.7446	0.7482
0.4146	5.0	610	0.4257	0.7594	0.7202	0.7473	0.7283
0.3828	6.0	732	0.3869	0.8246	0.7880	0.7909	0.7894
0.3697	7.0	854	0.3959	0.8145	0.7766	0.7988	0.7854
0.3486	8.0	976	0.3808	0.8321	0.7961	0.8087	0.8018
0.3437	9.0	1098	0.3738	0.8271	0.7904	0.8001	0.7949
0.3317	10.0	1220	0.3643	0.8471	0.8159	0.8143	0.8151
0.3114	11.0	1342	0.3683	0.8271	0.7902	0.8051	0.7968
0.3035	12.0	1464	0.3660	0.8346	0.7988	0.8155	0.8061
0.3117	13.0	1586	0.3518	0.8471	0.8167	0.8118	0.8142
0.3048	14.0	1708	0.3533	0.8446	0.8115	0.8176	0.8144
0.2916	15.0	1830	0.3570	0.8421	0.8083	0.8158	0.8119
0.2832	16.0	1952	0.3579	0.8471	0.8138	0.8243	0.8187
0.284	17.0	2074	0.3496	0.8471	0.8153	0.8168	0.8160
0.2906	18.0	2196	0.3537	0.8446	0.8111	0.8201	0.8153
0.2805	19.0	2318	0.3505	0.8496	0.8186	0.8186	0.8186
0.2815	20.0	2440	0.3513	0.8471	0.8147	0.8193	0.8169