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apwic/
sentiment-seq_bn-rf64-4

Name: sentiment-seq_bn-rf64-4
Availability: InStock

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sentiment-seq_bn-rf64-4

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
0.5579	1.0	122	0.5390	0.7093	0.6626	0.6793	0.6678
0.5043	2.0	244	0.4835	0.7644	0.7516	0.6308	0.6425
0.4819	3.0	366	0.4585	0.7769	0.7322	0.7047	0.7150
0.4474	4.0	488	0.4587	0.7820	0.7399	0.7582	0.7472
0.4336	5.0	610	0.4243	0.8070	0.7756	0.7360	0.7504
0.4036	6.0	732	0.3990	0.8221	0.7846	0.7941	0.7890
0.3871	7.0	854	0.3843	0.8346	0.8074	0.7805	0.7917
0.3704	8.0	976	0.3781	0.8371	0.8270	0.7622	0.7839
0.3563	9.0	1098	0.3728	0.8446	0.8343	0.7751	0.7959
0.34	10.0	1220	0.3545	0.8596	0.8360	0.8182	0.8262
0.3394	11.0	1342	0.3446	0.8571	0.8310	0.8189	0.8245
0.3182	12.0	1464	0.3411	0.8596	0.8389	0.8132	0.8243
0.3226	13.0	1586	0.3353	0.8546	0.8254	0.8221	0.8238
0.3181	14.0	1708	0.3369	0.8546	0.8228	0.8322	0.8272
0.3044	15.0	1830	0.3312	0.8571	0.8289	0.8239	0.8264
0.3038	16.0	1952	0.3287	0.8571	0.8273	0.8289	0.8281
0.3033	17.0	2074	0.3268	0.8596	0.8293	0.8357	0.8324
0.3018	18.0	2196	0.3251	0.8571	0.8266	0.8314	0.8289
0.2955	19.0	2318	0.3253	0.8571	0.8273	0.8289	0.8281
0.2999	20.0	2440	0.3252	0.8496	0.8202	0.8136	0.8167