update model card README.md

README.md

@@ -14,14 +14,14 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [Jean-Baptiste/camembert-ner](https://huggingface.co/Jean-Baptiste/camembert-ner) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0862
-- Loc: {'precision': 0.7229437229437229, 'recall': 0.7731481481481481, 'f1': 0.7472035794183446, 'number': 216}
-- Misc: {'precision': 0.5555555555555556, 'recall': 0.375, 'f1': 0.44776119402985076, 'number': 40}
-- Org: {'precision': 0.83, 'recall': 0.83, 'f1': 0.83, 'number': 200}
-- Per: {'precision': 0.8324324324324325, 'recall': 0.7857142857142857, 'f1': 0.8083989501312335, 'number': 196}
-- Overall Precision: 0.7807
+- Loss: 0.0857
+- Loc: {'precision': 0.711864406779661, 'recall': 0.7777777777777778, 'f1': 0.7433628318584071, 'number': 216}
+- Misc: {'precision': 0.6956521739130435, 'recall': 0.4, 'f1': 0.507936507936508, 'number': 40}
+- Org: {'precision': 0.8097560975609757, 'recall': 0.83, 'f1': 0.8197530864197532, 'number': 200}
+- Per: {'precision': 0.8260869565217391, 'recall': 0.7755102040816326, 'f1': 0.8, 'number': 196}
+- Overall Precision: 0.7747
 - Overall Recall: 0.7699
-- Overall F1: 0.7753
+- Overall F1: 0.7723
 - Overall Accuracy: 0.9822
 
 ## Model description