RE_NegREF_NSD_Nubes_Training_Test_dataset_RoBERTa_base_bne_fine_tuned

This model is a fine-tuned version of PlanTL-GOB-ES/roberta-base-bne on an unknown dataset. It achieves the following results on the evaluation set:

Model description

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The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Negref Precision	Negref Recall	Negref F1	Neg Precision	Neg Recall	Neg F1	Nsco Precision	Nsco Recall	Nsco F1	Precision	Recall	F1	Accuracy
0.0092	1.0	1729	0.3395	0.5044	0.5051	0.5048	0.9546	0.9600	0.9573	0.8681	0.8911	0.8794	0.8323	0.8430	0.8376	0.9552
0.0096	2.0	3458	0.2674	0.4694	0.5962	0.5252	0.9483	0.9663	0.9572	0.8717	0.8888	0.8801	0.8070	0.8629	0.8340	0.9545
0.0069	3.0	5187	0.2922	0.5054	0.5477	0.5257	0.9488	0.9628	0.9557	0.8740	0.8865	0.8802	0.8275	0.8509	0.8390	0.9559
0.0066	4.0	6916	0.2958	0.5371	0.5639	0.5501	0.9533	0.9614	0.9573	0.8714	0.8971	0.8841	0.8368	0.8576	0.8471	0.9559
0.0042	5.0	8645	0.2978	0.5475	0.5419	0.5446	0.9584	0.9551	0.9567	0.8850	0.8964	0.8906	0.8491	0.8503	0.8497	0.9558
0.0072	6.0	10374	0.2875	0.5068	0.5477	0.5265	0.9547	0.9614	0.9580	0.8791	0.8911	0.8850	0.8319	0.8521	0.8419	0.9561
0.0045	7.0	12103	0.3203	0.5551	0.5624	0.5587	0.9561	0.9628	0.9594	0.8744	0.9002	0.8871	0.8448	0.8591	0.8519	0.9567
0.0019	8.0	13832	0.3412	0.5339	0.5433	0.5386	0.9565	0.9579	0.9572	0.8921	0.9009	0.8965	0.8468	0.8535	0.8502	0.9560
0.0013	9.0	15561	0.3270	0.5033	0.5551	0.5279	0.9533	0.9600	0.9566	0.8900	0.9062	0.8981	0.8335	0.8588	0.8459	0.9574
0.0009	10.0	17290	0.3257	0.5285	0.5580	0.5429	0.9513	0.9593	0.9552	0.8826	0.9039	0.8931	0.8381	0.8582	0.8480	0.9567
0.0007	11.0	19019	0.3303	0.5299	0.5595	0.5443	0.9586	0.9586	0.9586	0.8859	0.9047	0.8952	0.8423	0.8585	0.8503	0.9574
0.0	12.0	20748	0.3480	0.5338	0.5565	0.5449	0.9552	0.9593	0.9573	0.8862	0.9070	0.8964	0.8428	0.8591	0.8509	0.9569