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MM2157/
AraBERT_multi_token_classification_AraEval24_non_dupl_new_labels_set2

Name: AraBERT_multi_token_classification_AraEval24_non_dupl_new_labels_set2
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AraBERT_multi_token_classification_AraEval24_non_dupl_new_labels_set2

This model is a fine-tuned version of aubmindlab/bert-base-arabertv2 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
1.2013	1.0	776	1.2141	0.0741	0.0072	0.0131	0.7377
0.9773	2.0	1552	1.1423	0.1333	0.0442	0.0664	0.7334
0.8187	3.0	2328	1.1962	0.1562	0.0832	0.1086	0.7191
0.6377	4.0	3104	1.2847	0.1515	0.1125	0.1291	0.6886
0.5292	5.0	3880	1.3504	0.1831	0.1212	0.1459	0.7167
0.4089	6.0	4656	1.4482	0.1697	0.1371	0.1517	0.7046
0.3487	7.0	5432	1.4719	0.1591	0.1366	0.1470	0.7070
0.285	8.0	6208	1.5242	0.1685	0.1510	0.1593	0.6995
0.2643	9.0	6984	1.5617	0.1720	0.1397	0.1542	0.7013
0.224	10.0	7760	1.5971	0.1681	0.1438	0.1550	0.6956