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gyr66/
RoBERTa-ext-large-crf-chinese-finetuned-ner

Name: RoBERTa-ext-large-crf-chinese-finetuned-ner
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RoBERTa-ext-large-crf-chinese-finetuned-ner

This model is a fine-tuned version of chinese-roberta-wwm-ext-large on the gyr66/privacy_detection 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
0.0197	1.0	503	0.6375	0.6663	0.7314	0.6973	0.9621
0.0251	2.0	1006	0.6048	0.6494	0.7435	0.6933	0.9611
0.0176	3.0	1509	0.6196	0.6669	0.7389	0.7011	0.9618
0.0116	4.0	2012	0.6361	0.6511	0.7560	0.6997	0.9624
0.0082	5.0	2515	0.6682	0.6746	0.7387	0.7052	0.9622
0.0067	6.0	3018	0.6587	0.6715	0.7409	0.7045	0.9635
0.0046	7.0	3521	0.6846	0.6770	0.7613	0.7167	0.9636
0.0019	8.0	4024	0.7081	0.6766	0.7510	0.7118	0.9630
0.0014	9.0	4527	0.7064	0.6812	0.7553	0.7163	0.9641
0.001	10.0	5030	0.7186	0.6813	0.7573	0.7173	0.9639