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BDAIO/
NLP_91_1

Name: NLP_91_1
Rating: 2.5 (7 reviews)

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NLP_91_1

This model is a fine-tuned version of google-bert/bert-base-multilingual-uncased on the None 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	Accuracy	Precision	Recall	F1
0.309	1.0	48	0.4280	0.8532	0.8506	0.8461	0.8454
0.2595	2.0	96	0.4335	0.8807	0.8767	0.8766	0.8738
0.2196	3.0	144	0.3883	0.8945	0.8956	0.8869	0.8876
0.1812	4.0	192	0.4664	0.8761	0.8856	0.8614	0.8638
0.1256	5.0	240	0.4764	0.8670	0.8750	0.8627	0.8625
0.142	6.0	288	0.5258	0.8670	0.8818	0.8580	0.8607
0.1006	7.0	336	0.4323	0.9037	0.8961	0.8989	0.8970
0.0897	8.0	384	0.4659	0.8991	0.8959	0.8891	0.8914
0.0595	9.0	432	0.4569	0.9174	0.9149	0.9099	0.9115
0.0399	10.0	480	0.4592	0.9037	0.8981	0.8970	0.8966
0.056	11.0	528	0.4461	0.9174	0.9102	0.9091	0.9094
0.0451	12.0	576	0.4772	0.8991	0.8926	0.8891	0.8906
0.0309	13.0	624	0.4396	0.9220	0.9160	0.9169	0.9155
0.0338	14.0	672	0.4423	0.9220	0.9156	0.9170	0.9158
0.0458	15.0	720	0.4408	0.9220	0.9156	0.9170	0.9158