Update README.md

README.md

@@ -42,7 +42,7 @@ This model performance is compared to 3 reference models (see below) with the me
 | :---------------------------------------------------------------------------------------------------------------: | :--------------: | :--------------: | :--------------: | :--------------: | :------------- : | :----------------: |
 | [cmarkea/distilcamembert-base-ner](https://huggingface.co/cmarkea/distilcamembert-base-ner)                       | 93.91            | 88.26            | 84.03            | 82.74            | 91.45            | 43.44              |
 | [Jean-Baptiste/camembert-ner](https://huggingface.co/Jean-Baptiste/camembert-ner)                                 | 95.20<br/>(+1%)  | 90.85<br/>(+3%)  | 89.50<br/>(+6%)  | 89.02<br/>(+8%)  | 92.86<br/>(+2%)  | 83.70<br/>(+93%)   |
-| [Davlan/bert-base-multilingual-cased-ner-hrl](https://huggingface.co/Davlan/bert-base-multilingual-cased-ner-hrl) | 79.93<br/>(-15%) | 70.39<br/>(-22%) | 60.26<br/>(-28%) | NA           | 69.95<br/>(-24%) | 87.56<br/>(+102%)  |
+| [Davlan/bert-base-multilingual-cased-ner-hrl](https://huggingface.co/Davlan/bert-base-multilingual-cased-ner-hrl) | 79.93<br/>(-15%) | 70.39<br/>(-22%) | 60.26<br/>(-28%) | n/a<br/>(n/a%)   | 69.95<br/>(-24%) | 87.56<br/>(+102%)  |
 | [flair/ner-french](https://huggingface.co/flair/ner-french)                                                       | 80.18<br/>(-15%) | 72.11<br/>(-18%) | 67.29<br/>(-20%) | 72.39<br/>(-17%) | 74.34<br/>(-19%) | 314.96<br/>(+625%) |
 
 How to use DistilCamemBERT-NER