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apwic/
sentiment-lora-r2a1d0.1-1

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

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sentiment-lora-r2a1d0.1-1

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
0.566	1.0	122	0.5211	0.7168	0.6521	0.6396	0.6444
0.5148	2.0	244	0.5169	0.7243	0.6791	0.6974	0.6850
0.4927	3.0	366	0.4861	0.7544	0.7017	0.6887	0.6942
0.4627	4.0	488	0.4656	0.7619	0.7120	0.7065	0.7091
0.4504	5.0	610	0.4611	0.7544	0.7120	0.7337	0.7193
0.4276	6.0	732	0.4303	0.7895	0.7461	0.7410	0.7434
0.4176	7.0	854	0.4163	0.7945	0.7521	0.7546	0.7533
0.397	8.0	976	0.3960	0.8170	0.7814	0.7680	0.7741
0.3904	9.0	1098	0.3940	0.8271	0.7969	0.7726	0.7829
0.3743	10.0	1220	0.3900	0.8271	0.7994	0.7676	0.7804
0.3632	11.0	1342	0.3848	0.8346	0.8062	0.7830	0.7929
0.3599	12.0	1464	0.3795	0.8271	0.7959	0.7751	0.7841
0.3597	13.0	1586	0.3765	0.8346	0.8136	0.7705	0.7867
0.3461	14.0	1708	0.3729	0.8321	0.8061	0.7737	0.7867
0.3432	15.0	1830	0.3714	0.8371	0.8101	0.7847	0.7955
0.333	16.0	1952	0.3706	0.8421	0.8181	0.7883	0.8006
0.3323	17.0	2074	0.3700	0.8396	0.8155	0.7840	0.7969
0.3337	18.0	2196	0.3687	0.8396	0.8141	0.7865	0.7980
0.3298	19.0	2318	0.3684	0.8396	0.8141	0.7865	0.7980
0.3309	20.0	2440	0.3681	0.8396	0.8141	0.7865	0.7980