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MM2157/
AraBERT_token_classification_AraEval24_multi_new_18labels_set4

Name: AraBERT_token_classification_AraEval24_multi_new_18labels_set4
Availability: InStock

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AraBERT_token_classification_AraEval24_multi_new_18labels_set4

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
1.2065	1.0	777	1.2652	0.1213	0.0148	0.0264	0.7282
0.9748	2.0	1554	1.1900	0.1933	0.0768	0.1099	0.7255
0.8249	3.0	2331	1.2108	0.1641	0.1034	0.1268	0.7000
0.6364	4.0	3108	1.3056	0.1887	0.1540	0.1696	0.6982
0.5382	5.0	3885	1.4089	0.1887	0.1453	0.1642	0.7062
0.4056	6.0	4662	1.4734	0.1967	0.1847	0.1906	0.6872
0.3689	7.0	5439	1.5611	0.1787	0.1919	0.1851	0.6685
0.2876	8.0	6216	1.5920	0.1999	0.1714	0.1846	0.6965
0.2651	9.0	6993	1.6263	0.1900	0.1868	0.1884	0.6917
0.2316	10.0	7770	1.6423	0.1919	0.2001	0.1959	0.6836