diff --git a/README.md b/README.md
index 177ae94..ff3974b 100644
--- a/README.md
+++ b/README.md
@@ -25,7 +25,7 @@ python train.py --name EXPERMENT_NAME
 python eval.py --ckpt_path PATH_TO_CKPT --im_size RESOLUTION
 ```
 
-* Visualize baselines logs and your experiments using Tensorboard.
+* Visualize baseline logs and your experiments using Tensorboard.
 
 ```shell
 tensorboard --logdir out --bind_all
@@ -39,18 +39,21 @@ tensorboard --logdir out --bind_all
 # Baseline Models
 The baseline models are Residual SNGANs from [Mimicry: Towards the Reproducibility of GAN Research](https://github.com/kwotsin/mimicry).
 
-Resolution                |32x32                       |64x64
-:------------------------:|:-------------------------:|:-------------------------:
-Seed                      |0                          |0
-Batch Size                |64                         |64
-n<sub>iter</sub>          |150k                       |150k
-n<sub>dis</sub>           |5                          |5
-β<sub>1</sub>             |0                          |0
-β<sub>2</sub>             |0.9                        |0.9
-lr                        |2e-4                       |2e-4
-lr<sub>decay</sub>        |Linear                     |Linear
-IS                        |6.212                      |7.234
-FID                       |42.452                     |68.360
-KID                       |0.02734                    |0.06240
-Samples                   |![](https://user-images.githubusercontent.com/50810315/135712701-9a154614-1703-4aa4-94a3-54db05908dd8.png)   |![](https://user-images.githubusercontent.com/50810315/135712698-e7294a67-949b-482f-9212-075a7ddb59a6.png)
-
+    
+Baselines                 |Baseline-32-150k           |Baseline-64-150k           |Baseline-32-295k           |Baseline-64-295k
+:------------------------:|:-------------------------:|:-------------------------:|:-------------------------:|:-------------------------:
+Resolution                |32x32                      |64x64                      |32x32                      |64x64
+Seed                      |0                          |0                          |236                        |236
+Batch Size                |64                         |64                         |64                         |64
+n<sub>iter</sub>          |150k                       |150k                       |295k                       |295k
+n<sub>dis</sub>           |5                          |5                          |5                          |5
+β<sub>1</sub>             |0                          |0                          |0                          |0
+β<sub>2</sub>             |0.9                        |0.9                        |0.9                        |0.9
+lr                        |2e-4                       |2e-4                       |2e-4                       |2e-4
+lr<sub>decay</sub>        |Linear                     |Linear                     |Linear                     |Linear
+IS                        |6.212                      |7.234                      |6.326                      |7.330
+FID                       |42.452                     |68.360                     |35.339                     |62.250
+KID                       |0.02734                    |0.06240                    |0.01984                    |0.05556
+Samples                   |![](https://user-images.githubusercontent.com/50810315/135712701-9a154614-1703-4aa4-94a3-54db05908dd8.png)|![](https://user-images.githubusercontent.com/50810315/135712698-e7294a67-949b-482f-9212-075a7ddb59a6.png)|![](https://user-images.githubusercontent.com/50810315/135767248-06df651c-1bba-4f51-9d8c-31d3c9c9c4ff.png)|![](https://user-images.githubusercontent.com/50810315/135767245-e37ed07f-f71c-4a82-81e7-9b88277f73aa.png)
+
+> NOTE: Use 150k baselines to benchmark models trained from scratch and use 295k baselines if your models don't involve training from scratch.