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ajtamayoh/
NLP-CIC-WFU_Clinical_Cases_NER_Sents_Tokenized_bertin_roberta_base_spanish_fine_tuned

Name: NLP-CIC-WFU_Clinical_Cases_NER_Sents_Tokenized_bertin_roberta_base_spanish_fine_tuned
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NLP-CIC-WFU_Clinical_Cases_NER_Sents_Tokenized_bertin_roberta_base_spanish_fine_tuned

This model is a fine-tuned version of bertin-project/bertin-roberta-base-spanish 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	Precision	Recall	F1	Accuracy
0.0605	1.0	2568	0.0625	0.9400	0.6322	0.7560	0.9836
0.0475	2.0	5136	0.0622	0.9533	0.6572	0.7781	0.9849
0.0374	3.0	7704	0.0552	0.9261	0.6784	0.7831	0.9855
0.0246	4.0	10272	0.0693	0.9381	0.6658	0.7788	0.9849
0.0126	5.0	12840	0.0974	0.8918	0.6830	0.7735	0.9849
0.0061	6.0	15408	0.0886	0.8771	0.7099	0.7847	0.9850
0.0031	7.0	17976	0.0973	0.9012	0.6942	0.7842	0.9857