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apwic/
sentiment-lora-r8a1d0.1-1

Name: sentiment-lora-r8a1d0.1-1
Availability: InStock

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sentiment-lora-r8a1d0.1-1

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
0.5655	1.0	122	0.5179	0.7243	0.6623	0.6499	0.6548
0.5048	2.0	244	0.4926	0.7519	0.7079	0.7270	0.7147
0.4529	3.0	366	0.4301	0.7995	0.7581	0.7606	0.7593
0.393	4.0	488	0.3863	0.8221	0.7871	0.7766	0.7814
0.3754	5.0	610	0.3868	0.8246	0.7892	0.8209	0.8003
0.3455	6.0	732	0.3605	0.8446	0.8126	0.8126	0.8126
0.3344	7.0	854	0.3396	0.8546	0.8263	0.8196	0.8229
0.3157	8.0	976	0.3319	0.8672	0.8436	0.8310	0.8369
0.3076	9.0	1098	0.3273	0.8546	0.8284	0.8146	0.8210
0.2948	10.0	1220	0.3238	0.8747	0.8552	0.8363	0.8448
0.2737	11.0	1342	0.3199	0.8697	0.8474	0.8328	0.8395
0.2741	12.0	1464	0.3190	0.8596	0.8299	0.8332	0.8315
0.275	13.0	1586	0.3146	0.8772	0.8628	0.8331	0.8458
0.2736	14.0	1708	0.3104	0.8697	0.8460	0.8353	0.8404
0.263	15.0	1830	0.3112	0.8672	0.8393	0.8410	0.8402
0.2583	16.0	1952	0.3086	0.8722	0.8453	0.8471	0.8462
0.2544	17.0	2074	0.3065	0.8722	0.8512	0.8346	0.8422
0.2594	18.0	2196	0.3056	0.8697	0.8449	0.8378	0.8412
0.256	19.0	2318	0.3043	0.8722	0.8512	0.8346	0.8422
0.2515	20.0	2440	0.3035	0.8747	0.8523	0.8413	0.8465