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distilbert-base-multilingual-cased-finetuned-ner-harem

Name: distilbert-base-multilingual-cased-finetuned-ner-harem
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distilbert-base-multilingual-cased-finetuned-ner-harem

This model is a fine-tuned version of distilbert/distilbert-base-multilingual-cased 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
No log	1.0	282	0.2251	0.5886	0.6203	0.6040	0.9414
0.2833	2.0	564	0.1686	0.6566	0.6784	0.6673	0.9505
0.2833	3.0	846	0.1603	0.6795	0.7303	0.7040	0.9565
0.0914	4.0	1128	0.1642	0.7310	0.7386	0.7348	0.9582
0.0914	5.0	1410	0.1545	0.7385	0.7676	0.7528	0.9595
0.0408	6.0	1692	0.1782	0.7179	0.7552	0.7361	0.9565
0.0408	7.0	1974	0.1840	0.7324	0.7552	0.7436	0.9599
0.0193	8.0	2256	0.1839	0.7324	0.7552	0.7436	0.9590
0.0107	9.0	2538	0.1788	0.7571	0.7697	0.7634	0.9624
0.0107	10.0	2820	0.1777	0.7455	0.7780	0.7614	0.9616