update model card README.md

README.md

@@ -13,6 +13,36 @@ should probably proofread and complete it, then remove this comment. -->
 # bert_base_tcm_0.6
 
 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: 0.0109
+- Criterio Julgamento Precision: 0.8409
+- Criterio Julgamento Recall: 0.925
+- Criterio Julgamento F1: 0.8810
+- Criterio Julgamento Number: 80
+- Data Sessao Precision: 0.7838
+- Data Sessao Recall: 0.8056
+- Data Sessao F1: 0.7945
+- Data Sessao Number: 36
+- Modalidade Licitacao Precision: 0.9517
+- Modalidade Licitacao Recall: 0.9718
+- Modalidade Licitacao F1: 0.9617
+- Modalidade Licitacao Number: 284
+- Numero Exercicio Precision: 0.9706
+- Numero Exercicio Recall: 0.9925
+- Numero Exercicio F1: 0.9814
+- Numero Exercicio Number: 133
+- Objeto Licitacao Precision: 0.6143
+- Objeto Licitacao Recall: 0.7544
+- Objeto Licitacao F1: 0.6772
+- Objeto Licitacao Number: 57
+- Valor Objeto Precision: 0.8571
+- Valor Objeto Recall: 1.0
+- Valor Objeto F1: 0.9231
+- Valor Objeto Number: 6
+- Overall Precision: 0.8917
+- Overall Recall: 0.9396
+- Overall F1: 0.9150
+- Overall Accuracy: 0.9980
 
 ## Model description