update model card README.md

README.md

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 This model is a fine-tuned version of [neuralmind/bert-base-portuguese-cased](https://huggingface.co/neuralmind/bert-base-portuguese-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0273
-- Criterio Julgamento Precision: 0.7925
-- Criterio Julgamento Recall: 0.8077
-- Criterio Julgamento F1: 0.8000
+- Loss: 0.0205
+- Criterio Julgamento Precision: 0.7719
+- Criterio Julgamento Recall: 0.8462
+- Criterio Julgamento F1: 0.8073
 - Criterio Julgamento Number: 104
-- Data Sessao Precision: 0.7246
+- Data Sessao Precision: 0.7812
 - Data Sessao Recall: 0.9091
-- Data Sessao F1: 0.8065
+- Data Sessao F1: 0.8403
 - Data Sessao Number: 55
-- Modalidade Licitacao Precision: 0.9485
+- Modalidade Licitacao Precision: 0.9507
 - Modalidade Licitacao Recall: 0.9620
-- Modalidade Licitacao F1: 0.9552
+- Modalidade Licitacao F1: 0.9563
 - Modalidade Licitacao Number: 421
-- Numero Exercicio Precision: 0.9282
-- Numero Exercicio Recall: 0.9784
-- Numero Exercicio F1: 0.9526
+- Numero Exercicio Precision: 0.9375
+- Numero Exercicio Recall: 0.9730
+- Numero Exercicio F1: 0.9549
 - Numero Exercicio Number: 185
-- Objeto Licitacao Precision: 0.56
-- Objeto Licitacao Recall: 0.7119
-- Objeto Licitacao F1: 0.6269
+- Objeto Licitacao Precision: 0.5309
+- Objeto Licitacao Recall: 0.7288
+- Objeto Licitacao F1: 0.6143
 - Objeto Licitacao Number: 59
 - Valor Objeto Precision: 0.8409
 - Valor Objeto Recall: 0.9024
 - Valor Objeto F1: 0.8706
 - Valor Objeto Number: 41
-- Overall Precision: 0.8723
-- Overall Recall: 0.9237
-- Overall F1: 0.8972
-- Overall Accuracy: 0.9964
+- Overall Precision: 0.8719
+- Overall Recall: 0.9283
+- Overall F1: 0.8992
+- Overall Accuracy: 0.9967
 
 ## Model description