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MM2157/
AraBERT_token_classification_AraEval24_multi_span_aug1k

Name: AraBERT_token_classification_AraEval24_multi_span_aug1k
Availability: InStock

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AraBERT_token_classification_AraEval24_multi_span_aug1k

This model is a fine-tuned version of aubmindlab/bert-base-arabert 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
0.5886	1.0	4485	1.2101	0.0196	0.0042	0.0069	0.7360
0.4487	2.0	8970	1.2735	0.0413	0.0122	0.0189	0.7437
0.4106	3.0	13455	1.1920	0.0713	0.0248	0.0368	0.7472
0.3457	4.0	17940	1.2392	0.0936	0.0359	0.0519	0.7483
0.319	5.0	22425	1.2719	0.0884	0.0443	0.0590	0.7412
0.3	6.0	26910	1.3289	0.0955	0.0633	0.0761	0.7391
0.3038	7.0	31395	1.3125	0.0941	0.0660	0.0776	0.7396
0.2654	8.0	35880	1.3831	0.1027	0.0628	0.0779	0.7414
0.2386	9.0	40365	1.4023	0.0998	0.0732	0.0844	0.7395
0.2177	10.0	44850	1.4187	0.0979	0.0715	0.0826	0.7392