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MM2157/
AraBERT_token_classification_AraEval24_multi_n_dupl_new_labels_aug_back_trans

Name: AraBERT_token_classification_AraEval24_multi_n_dupl_new_labels_aug_back_trans
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AraBERT_token_classification_AraEval24_multi_n_dupl_new_labels_aug_back_trans

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
0.9613	1.0	1505	1.2156	0.1877	0.0649	0.0965	0.7232
0.7791	2.0	3010	1.2402	0.2023	0.0817	0.1164	0.7202
0.5796	3.0	4515	1.3461	0.1791	0.0817	0.1122	0.7010
0.4597	4.0	6020	1.4365	0.1676	0.0903	0.1174	0.7037
0.3678	5.0	7525	1.5251	0.1756	0.1126	0.1372	0.7015
0.3085	6.0	9030	1.5398	0.1886	0.1563	0.1709	0.6866
0.2707	7.0	10535	1.6344	0.1831	0.1553	0.1680	0.7030
0.2427	8.0	12040	1.6892	0.1743	0.1177	0.1405	0.7088
0.2116	9.0	13545	1.7166	0.1859	0.1218	0.1471	0.7095
0.1977	10.0	15050	1.7261	0.1857	0.1294	0.1525	0.7083