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jaggernaut007/
albert-large-v2-finetuned-abbDet-finetuned-ner

Name: albert-large-v2-finetuned-abbDet-finetuned-ner
Availability: InStock

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albert-large-v2-finetuned-abbDet-finetuned-ner

This model is a fine-tuned version of surrey-nlp/albert-large-v2-finetuned-abbDet 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	0.37	100	0.1655	0.9638	0.9621	0.9629	0.9622
No log	0.75	200	0.1073	0.9752	0.9705	0.9729	0.9709
No log	1.12	300	0.0951	0.9776	0.9742	0.9759	0.9740
No log	1.49	400	0.0952	0.9778	0.9752	0.9765	0.9748
0.1901	1.87	500	0.0948	0.9780	0.9745	0.9763	0.9746
0.1901	2.24	600	0.0947	0.9788	0.9758	0.9773	0.9755
0.1901	2.61	700	0.0962	0.9789	0.9766	0.9778	0.9758
0.1901	2.99	800	0.0950	0.9784	0.9763	0.9773	0.9757
0.1901	3.36	900	0.0984	0.9784	0.9763	0.9773	0.9755
0.0493	3.73	1000	0.1012	0.9781	0.9759	0.9770	0.9752
0.0493	4.1	1100	0.1029	0.9781	0.9763	0.9772	0.9754