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MM2157/
AraBERT_token_classification_AraEval24_rand_trun_multi

Name: AraBERT_token_classification_AraEval24_rand_trun_multi
Availability: InStock

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AraBERT_token_classification_AraEval24_rand_trun_multi

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
1.5791	1.0	1534	2.2680	0.0218	0.0586	0.0318	0.2410
1.2834	2.0	3068	2.4695	0.0262	0.0702	0.0382	0.2455
1.0083	3.0	4602	2.5744	0.0326	0.0706	0.0446	0.2740
0.7635	4.0	6136	3.1634	0.0352	0.0790	0.0487	0.2240
0.5815	5.0	7670	3.5014	0.0379	0.0843	0.0523	0.2017
0.4531	6.0	9204	3.7500	0.0353	0.0794	0.0488	0.2038
0.3676	7.0	10738	3.8002	0.0395	0.0876	0.0545	0.2302
0.3135	8.0	12272	4.0371	0.0382	0.0801	0.0517	0.2253
0.2621	9.0	13806	4.1992	0.0449	0.1084	0.0635	0.2229
0.2169	10.0	15340	4.1695	0.0439	0.1002	0.0610	0.2298