Update README.md

README.md

@@ -32,25 +32,26 @@ Pretrained NER tagging model for ancient Greek
 | Xenophon       | 1.190            | 796               | 857               |
 
 
-Results
+# Results
 | Class   | Metric | Test | Validation |
 |---------|-----------|--------|--------|
 | **LOC**     | precision | 82.92% | 87.10% |
-|      | recall    | 81.30% | 87.10% |
-|      | f1        | 82.11% | 87.10% |
+|         | recall    | 81.30% | 87.10% |
+|         | f1        | 82.11% | 87.10% |
 | **MISC**    | precision | 80.43% | 0      |
-|     | recall    | 70.04% | 0      |
-|     | f1        | 74.87% | 0      |
+|         | recall    | 70.04% | 0      |
+|         | f1        | 74.87% | 0      |
 | **NORP**    | precision | 87.10% | 92.82% |
-|     | recall    | 90.81% | 93.42% |
-|     | f1        | 88.92% | 93.12% |
+|         | recall    | 90.81% | 93.42% |
+|         | f1        | 88.92% | 93.12% |
 | **PER**     | precision | 92.61% | 95.52% |
-|      | recall    | 92.94% | 95.21% |
-|      | f1        | 92.77% | 95.37% |
-| **Overall** | precision    | 16183  | 92.63% |
-|  | recall | 88.92% | 92.79% |
-|  | f1    | 88.82% | 92.71% |
-|  | Accuracy        | 88.87% | 98.42% |
+|         | recall    | 92.94% | 95.21% |
+|         | f1        | 92.77% | 95.37% |
+| **Overall** | precision | 88.92% | 92.63% |
+|         | recall    | 88.82% | 92.79% |
+|         | f1        | 88.87% | 92.71% |
+|         | Accuracy  | 97.28% | 98.42% |
+
 
 
 # Usage