Update README.md

README.md

@@ -67,12 +67,11 @@ claims = inference(abstract)  # string of claim joining with \n
 Takes in a statement and classifies as Claim (1) or Null (0).
 Here are some examples - 
 
-- {'text': 'We consistently found that participants selectively chose to learn that bad (good) things happened to bad (good) people (Studies 1 to 7) that is, they selectively exposed themselves to deserved outcomes.',
- 'label': 1 (Claim)}
-- {'text': 'Members of higher status groups generalize characteristics of their ingroup to superordinate categories that serve as a frame of reference for comparisons with outgroups (ingroup projection).',
- 'label': 0 (Null)}
-- {'text':Motivational Interviewing helped the goal progress of those participants who, at pre-screening, reported engaging in many individual pro-environmental behaviors, but the more directive approach worked better for those participants who were less ready to change.
-  'label': 1 (Claim)}
+|                                                         Statement                                            |    Label   | 
+|:------------------------------------------------------------------------------------------------------------:|:----------:|
+|We consistently found that participants selectively chose to learn that bad (good) things happened to <br>bad (good) people (Studies 1 to 7) that is, they selectively exposed themselves to deserved outcomes.| 1 (Claim) |
+|Members of higher status groups generalize characteristics of their ingroup to superordinate categories<br> that serve as a frame of reference for comparisons with outgroups (ingroup projection).| 0 (Null)  }|
+|Motivational Interviewing helped the goal progress of those participants who, at pre-screening, reported<br> engaging in many individual pro-environmental behaviors, but the more directive approach <br> worked better for those participants who were less ready to change.| 1 (Claim) |
 
 
 ## Training procedure
@@ -81,10 +80,10 @@ Here are some examples -
 
 The following hyperparameters were used during training:
 
-learning_rate: 3e-05
-train_batch_size: 32
-eval_batch_size: 32
-n_epochs: 6
+- learning_rate: 3e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- n_epochs: 6
 
 ### Training results