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alexeyak/
deberta-v3-base-ner-B

Name: deberta-v3-base-ner-B
Availability: InStock

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deberta-v3-base-ner-B

This model is a fine-tuned version of microsoft/deberta-v3-base on English part of Babelscape/multinerd 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
0.0336	0.13	257	0.0345	0.9245	0.9386	0.9315	0.9885
0.0309	0.25	514	0.0296	0.9161	0.9624	0.9387	0.9892
0.0281	0.38	771	0.0251	0.9316	0.9539	0.9426	0.9908
0.0221	0.5	1028	0.0259	0.9381	0.9588	0.9483	0.9910
0.0234	0.63	1285	0.0260	0.9318	0.9640	0.9477	0.9904
0.0177	0.75	1542	0.0248	0.9331	0.9665	0.9495	0.9909
0.0213	0.88	1799	0.0228	0.9522	0.9593	0.9557	0.9918
0.0252	1.0	2056	0.0233	0.9517	0.9568	0.9542	0.9917
0.0143	1.13	2313	0.0256	0.9491	0.9641	0.9565	0.9918
0.0132	1.25	2570	0.0247	0.9536	0.9627	0.9581	0.9921
0.015	1.38	2827	0.0243	0.9467	0.9640	0.9553	0.9917
0.0148	1.5	3084	0.0254	0.9475	0.9677	0.9575	0.9918
0.0143	1.63	3341	0.0252	0.9491	0.9667	0.9578	0.9920
0.0112	1.75	3598	0.0244	0.9546	0.9626	0.9586	0.9923
0.0074	1.88	3855	0.0268	0.9490	0.9680	0.9584	0.9921
0.0068	2.0	4112	0.0257	0.9577	0.9610	0.9594	0.9923
0.0079	2.13	4369	0.0296	0.9457	0.9698	0.9576	0.9919
0.0067	2.26	4626	0.0290	0.9520	0.9686	0.9602	0.9922
0.0067	2.38	4883	0.0282	0.9553	0.9653	0.9603	0.9923
0.0044	2.51	5140	0.0303	0.9600	0.9622	0.9611	0.9926
0.005	2.63	5397	0.0318	0.9488	0.9703	0.9594	0.9920
0.006	2.76	5654	0.0295	0.9564	0.9663	0.9613	0.9925
0.0059	2.88	5911	0.0304	0.9586	0.9657	0.9621	0.9925