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apwic/
sentiment-lora-r16a1d0.1-0

Name: sentiment-lora-r16a1d0.1-0
Availability: InStock

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sentiment-lora-r16a1d0.1-0

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
0.559	1.0	122	0.5023	0.7268	0.6671	0.6592	0.6627
0.4818	2.0	244	0.4518	0.7569	0.7248	0.7605	0.7318
0.4129	3.0	366	0.3967	0.8246	0.7876	0.7959	0.7914
0.3519	4.0	488	0.3626	0.8496	0.8193	0.8161	0.8177
0.3191	5.0	610	0.3720	0.8471	0.8130	0.8393	0.8235
0.2977	6.0	732	0.3482	0.8546	0.8216	0.8422	0.8303
0.2861	7.0	854	0.3343	0.8672	0.8363	0.8535	0.8439
0.2662	8.0	976	0.3213	0.8622	0.8314	0.8425	0.8365
0.2618	9.0	1098	0.3246	0.8697	0.8399	0.8528	0.8458
0.2556	10.0	1220	0.3065	0.8596	0.8307	0.8307	0.8307
0.2353	11.0	1342	0.3148	0.8722	0.8416	0.8621	0.8505
0.24	12.0	1464	0.3098	0.8747	0.8451	0.8613	0.8524
0.2346	13.0	1586	0.2989	0.8772	0.8524	0.8506	0.8515
0.2367	14.0	1708	0.3001	0.8697	0.8399	0.8528	0.8458
0.2248	15.0	1830	0.3040	0.8722	0.8420	0.8596	0.8498
0.2174	16.0	1952	0.3016	0.8697	0.8386	0.8603	0.8479
0.2112	17.0	2074	0.2887	0.8647	0.8346	0.8442	0.8391
0.2162	18.0	2196	0.2980	0.8722	0.8416	0.8621	0.8505
0.2124	19.0	2318	0.2892	0.8697	0.8411	0.8478	0.8443
0.2118	20.0	2440	0.2912	0.8647	0.8346	0.8442	0.8391