Update README.md

README.md

@@ -11,6 +11,8 @@ metrics:
 model-index:
 - name: test-ner
   results: []
+datasets:
+- ktgiahieu/maccrobat2018_2020
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -18,7 +20,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # test-ner
 
-This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on  ktgiahieu/maccrobat2018_2020 dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.3155
 - Precision: 0.9157
@@ -97,9 +99,95 @@ The following hyperparameters were used during training:
 | 0.0056        | 50.0  | 4000 | 0.3155          | 0.9157    | 0.9323 | 0.9239 | 0.9530   |
 
 
+
+### Ner Labels
+"O",
+    "B-ACTIVITY",
+    "I-ACTIVITY",
+    "I-ADMINISTRATION",
+    "B-ADMINISTRATION",
+    "B-AGE",
+    "I-AGE",
+    "I-AREA",
+    "B-AREA",
+    "B-BIOLOGICAL_ATTRIBUTE",
+    "I-BIOLOGICAL_ATTRIBUTE",
+    "I-BIOLOGICAL_STRUCTURE",
+    "B-BIOLOGICAL_STRUCTURE",
+    "B-CLINICAL_EVENT",
+    "I-CLINICAL_EVENT",
+    "B-COLOR",
+    "I-COLOR",
+    "I-COREFERENCE",
+    "B-COREFERENCE",
+    "B-DATE",
+    "I-DATE",
+    "I-DETAILED_DESCRIPTION",
+    "B-DETAILED_DESCRIPTION",
+    "I-DIAGNOSTIC_PROCEDURE",
+    "B-DIAGNOSTIC_PROCEDURE",
+    "I-DISEASE_DISORDER",
+    "B-DISEASE_DISORDER",
+    "B-DISTANCE",
+    "I-DISTANCE",
+    "B-DOSAGE",
+    "I-DOSAGE",
+    "I-DURATION",
+    "B-DURATION",
+    "I-FAMILY_HISTORY",
+    "B-FAMILY_HISTORY",
+    "B-FREQUENCY",
+    "I-FREQUENCY",
+    "I-HEIGHT",
+    "B-HEIGHT",
+    "B-HISTORY",
+    "I-HISTORY",
+    "I-LAB_VALUE",
+    "B-LAB_VALUE",
+    "I-MASS",
+    "B-MASS",
+    "I-MEDICATION",
+    "B-MEDICATION",
+    "I-NONBIOLOGICAL_LOCATION",
+    "B-NONBIOLOGICAL_LOCATION",
+    "I-OCCUPATION",
+    "B-OCCUPATION",
+    "B-OTHER_ENTITY",
+    "I-OTHER_ENTITY",
+    "B-OTHER_EVENT",
+    "I-OTHER_EVENT",
+    "I-OUTCOME",
+    "B-OUTCOME",
+    "I-PERSONAL_BACKGROUND",
+    "B-PERSONAL_BACKGROUND",
+    "B-QUALITATIVE_CONCEPT",
+    "I-QUALITATIVE_CONCEPT",
+    "I-QUANTITATIVE_CONCEPT",
+    "B-QUANTITATIVE_CONCEPT",
+    "B-SEVERITY",
+    "I-SEVERITY",
+    "B-SEX",
+    "I-SEX",
+    "B-SHAPE",
+    "I-SHAPE",
+    "B-SIGN_SYMPTOM",
+    "I-SIGN_SYMPTOM",
+    "B-SUBJECT",
+    "I-SUBJECT",
+    "B-TEXTURE",
+    "I-TEXTURE",
+    "B-THERAPEUTIC_PROCEDURE",
+    "I-THERAPEUTIC_PROCEDURE",
+    "I-TIME",
+    "B-TIME",
+    "B-VOLUME",
+    "I-VOLUME",
+    "I-WEIGHT",
+    "B-WEIGHT",
+
 ### Framework versions
 
 - Transformers 4.38.2
 - Pytorch 2.2.1+cu121
 - Datasets 2.18.0
-- Tokenizers 0.15.2
+- Tokenizers 0.15.2