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apwic/
sentiment-lora-r16-3

Name: sentiment-lora-r16-3
Availability: InStock

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sentiment-lora-r16-3

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
0.564	1.0	122	0.5210	0.7143	0.6432	0.6178	0.6246
0.5007	2.0	244	0.4797	0.7519	0.7062	0.7219	0.7123
0.428	3.0	366	0.3909	0.8246	0.7874	0.8009	0.7934
0.3751	4.0	488	0.3478	0.8471	0.8159	0.8143	0.8151
0.339	5.0	610	0.3369	0.8546	0.8224	0.8347	0.8280
0.3096	6.0	732	0.3206	0.8697	0.8411	0.8478	0.8443
0.2931	7.0	854	0.3140	0.8622	0.8373	0.8250	0.8307
0.2765	8.0	976	0.3045	0.8722	0.8453	0.8471	0.8462
0.2637	9.0	1098	0.3003	0.8797	0.8539	0.8574	0.8556
0.2601	10.0	1220	0.2910	0.8797	0.8549	0.8549	0.8549
0.2547	11.0	1342	0.2850	0.8897	0.8726	0.8570	0.8642
0.2426	12.0	1464	0.2798	0.8922	0.8706	0.8687	0.8697
0.2319	13.0	1586	0.2811	0.8922	0.8785	0.8562	0.8662
0.2359	14.0	1708	0.2720	0.8847	0.8609	0.8609	0.8609
0.2229	15.0	1830	0.2722	0.8947	0.8718	0.8755	0.8737
0.2218	16.0	1952	0.2731	0.8872	0.8624	0.8677	0.8650
0.2174	17.0	2074	0.2738	0.8922	0.8706	0.8687	0.8697
0.2165	18.0	2196	0.2739	0.8922	0.8694	0.8712	0.8703
0.2153	19.0	2318	0.2727	0.8972	0.8781	0.8723	0.8751
0.2159	20.0	2440	0.2726	0.8947	0.8757	0.8680	0.8717