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salohnana2018/
ABSA-OTE-domainAdapt-SemEval-Adapter-pfeiffer_madx-run1

Name: ABSA-OTE-domainAdapt-SemEval-Adapter-pfeiffer_madx-run1
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ABSA-OTE-domainAdapt-SemEval-Adapter-pfeiffer_madx-run1

This model is a fine-tuned version of CAMeL-Lab/bert-base-arabic-camelbert-msa on the None 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	Precision	Recall	F1	Accuracy
0.275	1.0	121	0.1425	0.7125	0.6791	0.6954	0.9472
0.1317	2.0	242	0.1232	0.7679	0.7170	0.7416	0.9521
0.1194	3.0	363	0.1197	0.7629	0.7359	0.7492	0.9529
0.114	4.0	484	0.1178	0.7651	0.7434	0.7541	0.9538
0.1104	5.0	605	0.1168	0.7790	0.7270	0.7521	0.9545
0.1045	6.0	726	0.1163	0.7499	0.7529	0.7514	0.9533
0.1024	7.0	847	0.1171	0.7369	0.7688	0.7525	0.9528
0.0996	8.0	968	0.1151	0.7585	0.7544	0.7564	0.9545
0.0978	9.0	1089	0.1179	0.7262	0.7902	0.7569	0.9522
0.0952	10.0	1210	0.1161	0.7782	0.7519	0.7648	0.9562
0.095	11.0	1331	0.1153	0.7752	0.7524	0.7636	0.9570
0.0902	12.0	1452	0.1194	0.7499	0.7678	0.7587	0.9541
0.0918	13.0	1573	0.1170	0.7600	0.7683	0.7641	0.9555
0.0884	14.0	1694	0.1183	0.7344	0.7922	0.7622	0.9539
0.0866	15.0	1815	0.1178	0.7819	0.7519	0.7666	0.9566
0.0852	16.0	1936	0.1188	0.7486	0.7788	0.7634	0.9548
0.0856	17.0	2057	0.1185	0.7586	0.7703	0.7644	0.9554
0.084	18.0	2178	0.1193	0.7462	0.7793	0.7624	0.9543
0.0837	19.0	2299	0.1193	0.7533	0.7728	0.7629	0.9545
0.0833	20.0	2420	0.1191	0.7498	0.7778	0.7635	0.9547