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izaitova/
herbert-large-cased_ner

Name: herbert-large-cased_ner
Availability: InStock

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herbert-large-cased_ner

This model is a fine-tuned version of allegro/herbert-large-cased on an unknown 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	438	0.2556	0.8915	0.8923	0.8918	0.9369
0.311	2.0	876	0.1920	0.9101	0.9107	0.9102	0.9473
0.1466	3.0	1314	0.2481	0.9050	0.9058	0.9048	0.9442
0.093	4.0	1752	0.2565	0.9187	0.9276	0.9229	0.9537
0.0584	5.0	2190	0.2620	0.9216	0.9306	0.9260	0.9543
0.037	6.0	2628	0.2891	0.9263	0.9310	0.9282	0.9533
0.0169	7.0	3066	0.3159	0.9288	0.9314	0.9300	0.9564
0.0123	8.0	3504	0.3317	0.9359	0.9348	0.9345	0.9606
0.0123	9.0	3942	0.3097	0.9357	0.9305	0.9327	0.9594
0.0048	10.0	4380	0.3281	0.9354	0.9326	0.9337	0.9598