Update README.md

README.md

@@ -50,7 +50,19 @@ model = AutoModel.from_pretrained("nlpaueb/sec-bert-base")
 
 ## Use LEBAL-BERT variants as Language Models
 
-| Model                               | Masked token | Predictions (Probability)  |
+| Sample                                              | Masked Token |
+| --------------------------------------------------- | ------------ |
+| Total net sales [MASK] 2% or $5.4 billion during 2019 compared to 2018. | decreased
+
+
+| Model                                               | Predictions (Probability)  |
+| --------------------------------------------------- | ------------ |
+| **BERT-BASE-UNCASED** | increased (0.221), were (0.131), are (0.103), rose (0.075), of (0.058)
+| **SEC-BERT-BASE** | increased (0.678), decreased (0.282), declined (0.017), grew (0.016), rose (0.004)
+| **SEC-BERT-NUM** | increased (0.665), decreased (0.281), grew (0.028), declined (0.015), rose (0.008)
+| **SEC-BERT-SHAPE** | increased (0.793), decreased (0.145), grew (0.042), declined (0.011), rose (0.003)
+
+| Model                               | Masked Token | Predictions (Probability)  |
 | ---------------------------------- | ------------ | ------------ |
 | Total net sales [MASK] 2% or $5.4 billion during 2019 compared to 2018.
 | **BERT-BASE-UNCASED** | decreased | increased (0.221), were (0.131), are (0.103), rose (0.075), of (0.058)