Training Loss	Epoch	Step	Validation Loss	Overall Precision	Overall Recall	Overall F1	Overall Accuracy	Datasetname F1	Hyperparametername F1	Hyperparametervalue F1	Methodname F1	Metricname F1	Metricvalue F1	Taskname F1
No log	1.0	132	0.5046	0.2771	0.5041	0.3576	0.9356	0.2405	0.1988	0.4545	0.4638	0.4539	0.6486	0.2793
No log	2.0	264	0.3928	0.3344	0.6463	0.4407	0.9376	0.2449	0.3968	0.6292	0.5641	0.5373	0.4583	0.3359
No log	3.0	396	0.4714	0.4419	0.6179	0.5153	0.9533	0.3822	0.5310	0.7536	0.6262	0.6328	0.6857	0.3291
0.5663	4.0	528	0.3741	0.4493	0.7114	0.5507	0.9509	0.4717	0.7241	0.6353	0.5918	0.5714	0.6275	0.4372
0.5663	5.0	660	0.4202	0.3930	0.6870	0.5	0.9458	0.2759	0.6525	0.65	0.5596	0.7097	0.7368	0.3573
0.5663	6.0	792	0.4676	0.4244	0.6850	0.5241	0.9473	0.3333	0.5949	0.7397	0.5653	0.6988	0.7568	0.3652
0.5663	7.0	924	0.5744	0.4328	0.5955	0.5013	0.9517	0.2585	0.6167	0.5915	0.5825	0.6386	0.7500	0.3824
0.1503	8.0	1056	0.5340	0.4309	0.6585	0.5209	0.9499	0.2976	0.6299	0.7105	0.6140	0.6708	0.7568	0.3544
0.1503	9.0	1188	0.5229	0.4628	0.6829	0.5517	0.9531	0.4630	0.5103	0.6087	0.625	0.6541	0.7778	0.4493
0.1503	10.0	1320	0.6287	0.4978	0.6748	0.5729	0.9563	0.4314	0.6500	0.7463	0.6413	0.7432	0.7568	0.4108
0.1503	11.0	1452	0.5163	0.4571	0.7033	0.5540	0.9519	0.3925	0.5256	0.6024	0.6828	0.6626	0.7368	0.4466
0.0735	12.0	1584	0.6737	0.5046	0.6687	0.5752	0.9555	0.3883	0.6615	0.6757	0.6074	0.7051	0.7778	0.4577
0.0735	13.0	1716	0.5849	0.44	0.6931	0.5383	0.9480	0.3770	0.6555	0.6479	0.5922	0.6957	0.6512	0.4071
0.0735	14.0	1848	0.8314	0.5018	0.5793	0.5377	0.9539	0.3	0.6549	0.6667	0.5613	0.7361	0.7368	0.4294
0.0735	15.0	1980	0.5986	0.4549	0.6768	0.5441	0.9506	0.3793	0.6000	0.6667	0.6181	0.7089	0.6829	0.3978
0.0408	16.0	2112	0.7579	0.4900	0.6443	0.5566	0.9541	0.4103	0.6032	0.6765	0.6238	0.7123	0.6667	0.4217
0.0408	17.0	2244	0.9175	0.5285	0.6037	0.5636	0.9565	0.4	0.6789	0.7692	0.5949	0.7101	0.6857	0.4122
0.0408	18.0	2376	0.7771	0.5041	0.6179	0.5553	0.9562	0.3684	0.6207	0.7246	0.5842	0.7383	0.6667	0.4353
0.0226	19.0	2508	0.7992	0.5213	0.6463	0.5771	0.9569	0.32	0.6724	0.7353	0.6485	0.7114	0.7179	0.4510
0.0226	20.0	2640	0.7679	0.4915	0.6463	0.5584	0.9555	0.3304	0.6341	0.7463	0.6093	0.7089	0.7500	0.4426

Framework versions

Transformers 4.23.1
Pytorch 1.12.1+cu102
Datasets 2.6.1
Tokenizers 0.13.1

sohamtiwari3120/deberta-v3-base-finetuned-ner

deberta-v3-base-finetuned-ner

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

sohamtiwari3120/
deberta-v3-base-finetuned-ner