codeaudit
diff --git a/‎TensorFlow/LanguageModeling/BERT/README.md‎
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@@ -99,9 +99,10 @@ These techniques and optimizations improve model performance and reduce training
 ### Feature support matrix
 
 The following features are supported by this model.
-| Feature               | BERT|
-|-----------------------|--------------------------|
-|Horovod Multi-GPU      |Yes|                         
+
+| **Feature**               | **BERT** |
+|:-----------------------:|:--------------------------:|
+| Horovod Multi-GPU      | Yes |                         
 
 #### Features
 
@@ -639,12 +640,12 @@ Our results were obtained by running the `run_squad.py` training script in the T
 
 The following tables compare `F1` scores across 5 different training runs with different seeds, for both FP16 and FP32 respectively.  The runs showcase consistent convergence on all 5 seeds with very little deviation.
 
-| **FP16, 8x GPUs** | **seed #1** | **seed #2** | **seed #3** | **seed #4** | **seed #5** | **mean** | **std** |
+| **FP16, 8x GPUs** | **seed 1** | **seed 2** | **seed 3** | **seed 4** | **seed 5** | **mean** | **std** |
 |:-----------:|:-----:|:-----:|:-----:|:-----:|:-----:|:-----:|:-----:|
 |F1         |90.75|90.82|90.89|91.05|90.79|90.86|0.12|
 |Exact match|83.85|83.93|83.95|84.25|83.59|83.91|0.24|
 
-| **FP32, 8x GPUs** | **seed #1** | **seed #2** | **seed #3** | **seed #4** | **seed #5** | **mean** | **std** |
+| **FP32, 8x GPUs** | **seed 1** | **seed 2** | **seed 3** | **seed 4** | **seed 5** | **mean** | **std** |
 |:-----------:|:-----:|:-----:|:-----:|:-----:|:-----:|:-----:|:-----:|
 |F1         |90.70|90.80|90.89|91.08|90.73|90.84|0.15 |
 |Exact match|83.82|83.77|84.23|84.19|83.63|83.93|0.27 |