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apwic/
sentiment-lora-r4a1d0.1-0

Name: sentiment-lora-r4a1d0.1-0
Availability: InStock

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sentiment-lora-r4a1d0.1-0

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
0.5617	1.0	122	0.5117	0.7193	0.6580	0.6514	0.6543
0.5046	2.0	244	0.4917	0.7419	0.7042	0.7324	0.7112
0.4798	3.0	366	0.4466	0.7594	0.7129	0.7248	0.7179
0.4374	4.0	488	0.3994	0.8195	0.7866	0.7648	0.7741
0.4037	5.0	610	0.4150	0.7845	0.7480	0.7800	0.7575
0.3741	6.0	732	0.3737	0.8371	0.8028	0.8072	0.8049
0.3574	7.0	854	0.3776	0.8221	0.7845	0.7991	0.7909
0.3387	8.0	976	0.3654	0.8446	0.8120	0.8151	0.8135
0.3293	9.0	1098	0.3627	0.8371	0.8021	0.8122	0.8068
0.3209	10.0	1220	0.3553	0.8371	0.8032	0.8047	0.8040
0.2967	11.0	1342	0.3674	0.8346	0.7989	0.8130	0.8052
0.2928	12.0	1464	0.3707	0.8321	0.7960	0.8112	0.8027
0.2967	13.0	1586	0.3514	0.8471	0.8153	0.8168	0.8160
0.2934	14.0	1708	0.3507	0.8421	0.8083	0.8158	0.8119
0.2811	15.0	1830	0.3553	0.8346	0.7991	0.8105	0.8043
0.2738	16.0	1952	0.3555	0.8421	0.8077	0.8208	0.8136
0.2717	17.0	2074	0.3468	0.8496	0.8174	0.8236	0.8204
0.278	18.0	2196	0.3510	0.8421	0.8080	0.8183	0.8127
0.2701	19.0	2318	0.3471	0.8471	0.8142	0.8218	0.8178
0.2722	20.0	2440	0.3483	0.8446	0.8111	0.8201	0.8153