Create README.md (#1)

- Create README.md (a0158e4b3274ac97674e771ee938a2c73fc0285f)


Co-authored-by: Elisa Terumi Rubel Schneider <lisaterumi@users.noreply.huggingface.co>

README.md

@@ -0,0 +1,99 @@
+---
+language: "pt"
+widget:
+- text: "Dispneia importante aos esforços + dor tipo peso no peito no esforço."
+- text: "Obeso, has, icc  c # cintilografia miocardica para avaliar angina. Discreto edema mmii pricn a esquerda."
+- text: "Plastia Mitral ( Insuficiencia ), CRM Saf-2Mg e e Saf-3MG ).(09/03/16). Nega palpitação."
+- text: "Uso: AAS 100  -1xd; Metoprolol  25 -1xd; FSM -1xd ; Levotiroxina 175  -1xd; Sinva 40 -1xd; Fluoxetina 20-1xd."
+- text: "Refere melhora da dispneia depois da cx porem mantem aos mdoeardos-leves esforço."
+
+datasets: 
+- TempClinBr
+---
+
+# Portuguese NER- TempClinBr - BioBERTpt(all)
+
+Treinado com BioBERTpt(all), com o corpus TempClinBr.
+
+Metricas:
+
+```
+                   precision    recall  f1-score   support
+
+           0       0.75      0.90      0.82       291
+           1       0.77      1.00      0.87        33
+           2       1.00      0.25      0.40        28
+           3       0.90      0.99      0.94        71
+           4       0.79      0.91      0.85       112
+           5       0.72      0.83      0.77       420
+           6       0.62      0.45      0.53        11
+           7       0.96      0.85      0.91      2236
+           8       0.61      0.67      0.64        78
+           9       0.61      0.98      0.76       124
+          10       0.81      0.87      0.84       503
+          11       0.67      0.60      0.63        10
+
+    accuracy                           0.86      3917
+   macro avg       0.77      0.78      0.74      3917
+weighted avg       0.87      0.86      0.86      3917
+
+F1:  0.8588744393393593 Accuracy:  0.8565228491192239
+
+```
+
+Parâmetros:
+
+```
+device = cuda (Colab)
+nclasses = len(tag2id)
+nepochs = 50 => parou na 9
+batch_size = 16
+batch_status = 32
+learning_rate = 3e-5
+
+early_stop = 5
+max_length = 256
+write_path = 'model'
+```
+
+Eval no conjunto de teste - TempClinBr
+OBS: Avaliação com tag "O" (label 7), se necessário fazer a média sem essa tag.
+
+```
+tag2id ={'B-Tratamento': 0,
+ 'I-Teste': 1,
+ 'I-Ocorrencia': 2,
+ 'B-Evidencia': 3,
+ 'B-Teste': 4,
+ 'I-Problema': 5,
+ 'B-DepartamentoClinico': 6,
+ 'O': 7,
+ 'I-Tratamento': 8,
+ 'B-Ocorrencia': 9,
+ 'B-Problema': 10,
+ 'I-DepartamentoClinico': 11,
+ '<pad>': 12}
+
+               precision    recall  f1-score   support
+
+           0       0.82      0.92      0.87       261
+           1       0.81      0.58      0.67        99
+           2       0.56      0.20      0.29        51
+           3       1.00      0.94      0.97       128
+           4       0.81      0.86      0.83       194
+           5       0.81      0.87      0.84       645
+           6       0.96      0.80      0.87        30
+           7       0.95      0.90      0.93      2431
+           8       0.73      0.81      0.77       146
+           9       0.74      0.88      0.80       146
+          10       0.87      0.95      0.91       713
+          11       0.83      0.71      0.77        14
+          12       0.00      0.00      0.00         0
+
+    accuracy                           0.89      4858
+   macro avg       0.76      0.72      0.73      4858
+weighted avg       0.89      0.89      0.89      4858
+ ```
+
+
+Como citar: **em breve**