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benchmark/README.md

@@ -214,11 +214,9 @@ Experimental setting: 20 Optuna search trials for XGBoost, CatBoost and LightGBM
 
 `pytorch_tabular_benchmark` compares `ptroch-frame` to `pytorch-tabular`. `pytorch-tabular` is a popular package for Deep learning(DL) on tabular data. Its key use case it to make using existing tabular DL models easy. `pytorch_tabular_benchmar` primarly compares runtimes for similar models across the two libraries.
 
-| Package | Model   | Num iters/sec|
-| :-------| :-------|:-------------|
-| Tabular | TabNet  | 41.7         |    
-| Frame   | TabNet  | 45.0         |
-| Tabular | FTTrans | 40.1         |
-| Frame   | FTTrans | 43.7         |
-
-
+| Package | Model   | Num iters/sec |
+| :------ | :------ | :------------ |
+| Tabular | TabNet  | 41.7          |
+| Frame   | TabNet  | 45.0          |
+| Tabular | FTTrans | 40.1          |
+| Frame   | FTTrans | 43.7          |