Update README.md

README.md

@@ -69,7 +69,7 @@ though this is still an important clinical task.
 
 Use the code below to get started with the model.
 
-'
+```
 
 from transformers import AutoTokenizer, AutoModelForSequenceClassification
 
@@ -77,7 +77,7 @@ tokenizer = AutoTokenizer.from_pretrained("semaj83/scibert_finetuned_ctmatch")
 
 model = AutoModelForSequenceClassification.from_pretrained("semaj83/scibert_finetuned_ctmatch")
 
-'
+```
 
 ## Training Details
 
@@ -98,8 +98,8 @@ you may need to use ctproc or another method to extract relevant fields and prep
 
 #### Training Hyperparameters
 
-`
-max_sequence_length=512
+
+`max_sequence_length=512
 batch_size=8
 padding='max_length'
 truncation=True
@@ -112,7 +112,6 @@ splits={"train":0.8, "val":0.1}
 use_trainer=True
 fp16=True
 early_stopping=True
-
 `
 
 
@@ -120,7 +119,7 @@ early_stopping=True
 
 sklearn classifier table on random test split:
 
-`
+```
 
                 precision    recall  f1-score   support
 
@@ -132,8 +131,7 @@ sklearn classifier table on random test split:
    macro avg       0.70      0.66      0.67      7939
 weighted avg       0.79      0.80      0.79      7939
 
-
-`
+```
 
 
 ## Model Card Authors