Update README.md

README.md

@@ -20,7 +20,7 @@ On average DistilRoBERTa is twice as fast as Roberta-base.
 
 We encourage to check [RoBERTa-base model](https://huggingface.co/roberta-base) to know more about usage, limitations and potential biases.
 
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 This is a classification model that solves Short Question Answer Assessment task, finetuned [pretrained DistilRoBERTa model](https://huggingface.co/distilroberta-base) on 
 [Question Answer Assessment dataset](#)
@@ -129,7 +129,6 @@ Here is the scores during the training:
 |   Epoch    | Training Loss | 	 Validation Loss | 	 Accuracy |   	 F1   |  Precision |  Recall  |
 |:----------:|:-------------:|:-----------------:|:----------:|:---------:|:----------:|:--------:|
 |     1      |   No log      |     	0.773334     | 	0.713706  |  0.711398 |  0.746059  | 0.713706 |
-
 |     2      |   1.069200    |     	0.404932     | 	0.885279  |  0.884592 |  0.886699  | 0.885279 |
 |     3      |   0.473700    |     	0.247099     | 	0.931980  |  0.931675 |  0.933794  | 0.931980 |
 |     3      |   0.228000    |     	0.205577     | 	0.954315  |  0.954210 |  0.955258  | 0.954315 |