Update README.md

README.md

@@ -61,6 +61,7 @@ model = AutoModel.from_pretrained("nlpaueb/sec-bert-base")
 | **SEC-BERT-NUM** | increased (0.753), decreased (0.211), grew (0.019), declined (0.010), rose (0.006)
 | **SEC-BERT-SHAPE** | increased (0.747), decreased (0.214), grew (0.021), declined (0.013), rose (0.002)
 
+
 | Sample                                              | Masked Token |
 | --------------------------------------------------- | ------------ |
 | Total net sales decreased 2% or $5.4 [MASK] during 2019 compared to 2018. | billion
@@ -72,6 +73,7 @@ model = AutoModel.from_pretrained("nlpaueb/sec-bert-base")
 | **SEC-BERT-NUM** | million (0.974), billion (0.012), , (0.010), thousand (0.003), m (0.000)
 | **SEC-BERT-SHAPE** | million (0.978), billion (0.021), % (0.000), , (0.000), millions (0.000)
 
+
 | Sample                                              | Masked Token |
 | --------------------------------------------------- | ------------ |
 | Total net sales decreased [MASK]% or $5.4 billion during 2019 compared to 2018. | 2
@@ -83,6 +85,7 @@ model = AutoModel.from_pretrained("nlpaueb/sec-bert-base")
 | **SEC-BERT-NUM** | [NUM] (1.000), one (0.000), five (0.000), three (0.000), seven (0.000)
 | **SEC-BERT-SHAPE** | [XX] (0.316), [XX.X] (0.253), [X.X] (0.237), [X] (0.188), [X.XX] (0.002)
 
+
 | Sample                                              | Masked Token |
 | --------------------------------------------------- | ------------ |
 | Total net sales decreased 2[MASK] or $5.4 billion during 2019 compared to 2018. | %