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datnth1709/
finetune-bert-base-multilingual-cased-ner-hrl

Name: finetune-bert-base-multilingual-cased-ner-hrl
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finetune-bert-base-multilingual-cased-ner-hrl

This model is a fine-tuned version of Davlan/bert-base-multilingual-cased-ner-hrl 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
0.0436	1.0	899	0.0407	0.9079	0.9206	0.9142	0.9255
0.0265	2.0	1798	0.0271	0.9391	0.9383	0.9387	0.9420
0.01	3.0	2697	0.0291	0.9544	0.9473	0.9509	0.9433
0.0084	4.0	3596	0.0326	0.9601	0.9515	0.9558	0.9518
0.003	5.0	4495	0.0332	0.9543	0.9535	0.9539	0.9554