Update README.md

README.md

@@ -41,7 +41,7 @@ These were the arguments/hyperparameters, I used. I tried using higher epochs, b
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 ## Evaluation
-I had three benchmarks, the WikiTableQuestions dataset, the TabFact dataset, and the Synthetic Validation set. Fine-tuning did not harm the results of on the WTQ Validation Set and the TabFact Dataset, in which I got accuracies of .3405 and .5005, respectively for both the pre-trained and fine-tuned model. There were improvements in the validation and test results after training though. On Validation, there was a jump from 0.4000 to 0.4222. On the test set, there was quite a larger jump in accuracy from 0.2033 to 0.4667 after fine-tuning.
+I had three benchmarks, the WikiTableQuestions dataset, the TabFact dataset, and SQA. Fine-tuning did not harm the results of on the WTQ Validation Set and the TabFact Dataset, in which I got accuracies of .3405 and .5005, respectively for both the pre-trained and fine-tuned model. It slightly improved the results on the SQA dataset. There were improvements in the test results after training though. On the test set, there was quite a large jump in accuracy from 0.2033 to 0.4667 after fine-tuning.
 
 | Model                                                | Test Set of Synthetic Dataset | Benchmark 1 (WTQ Validation Set)         | Benchmark 2 (TabFact) | Benchmark 3 (SQA) |
 |------------------------------------------------------|-------------------------------|------------------------------------------|-----------------------|-------------------|