Update README.md

README.md

@@ -3,22 +3,24 @@ language: ar
 license: apache-2.0
 datasets:
 - AQMAR
+- ANERcorp
+embeddings:
+- GloVe
+- Flair
 ---
 # Arabic NER Model using Flair Embeddings
-Training was conducted over 94 epochs, using a linear decaying learning rate of 2e-05, and a total batch size of 32.
-11
-12
+Training was conducted over 94 epochs, using a linear decaying learning rate of 2e-05, starting from 0.225 and a batch size of 32 with GloVe and Flair forward and backward embeddings.
 
 Results:
 - F1-score (micro) 0.8666
 - F1-score (macro) 0.8488
 
-By class:
-LOC        tp: 539 - fp: 51 - fn: 68 - precision: 0.9136 - recall: 0.8880 - f1-score: 0.9006
-MISC       tp: 408 - fp: 57 - fn: 89 - precision: 0.8774 - recall: 0.8209 - f1-score: 0.8482
-ORG        tp: 167 - fp: 43 - fn: 64 - precision: 0.7952 - recall: 0.7229 - f1-score: 0.7574
-PER        tp: 501 - fp: 65 - fn: 60 - precision: 0.8852 - recall: 0.8930 - f1-score: 0.8891
-
+|      | tp  | fp | fn | precision | recall | class-F1 |
+|------|-----|----|----|-----------|--------|----------|
+| LOC  | 539 | 51 | 68 | 0.9136    | 0.8880 | 0.9006   |
+| MISC | 408 | 57 | 89 | 0.8774    | 0.8209 | 0.8482   |
+| ORG  | 167 | 43 | 64 | 0.7952    | 0.7229 | 0.7574   |
+| PER  | 501 | 65 | 60 | 0.8852    | 0.8930 | 0.8891   |
 
 ---