diff --git a/README.md b/README.md
index 0f9723f..247d685 100644
--- a/README.md
+++ b/README.md
@@ -61,9 +61,9 @@ trainer = Trainer(
     'path/to/your/images',
     image_size = 128,
     train_batch_size = 32,
-    train_lr = 3e-4,
+    train_lr = 2e-5,
     train_num_steps = 100000,
-    gradient_accumulate_every = 1
+    gradient_accumulate_every = 2
 )
 
 trainer.train()
diff --git a/denoising_diffusion_pytorch/denoising_diffusion_pytorch.py b/denoising_diffusion_pytorch/denoising_diffusion_pytorch.py
index f7af30f..21faaeb 100644
--- a/denoising_diffusion_pytorch/denoising_diffusion_pytorch.py
+++ b/denoising_diffusion_pytorch/denoising_diffusion_pytorch.py
@@ -372,9 +372,9 @@ class Trainer(object):
         *,
         image_size = 128,
         train_batch_size = 32,
-        train_lr = 3e-4,
+        train_lr = 2e-5,
         train_num_steps = 100000,
-        gradient_accumulate_every = 1
+        gradient_accumulate_every = 2
     ):
         super().__init__()
         self.model = diffusion_model
diff --git a/setup.py b/setup.py
index 14684ea..aa2e96d 100644
--- a/setup.py
+++ b/setup.py
@@ -3,7 +3,7 @@ from setuptools import setup, find_packages
 setup(
   name = 'denoising-diffusion-pytorch',
   packages = find_packages(),
-  version = '0.1.0',
+  version = '0.1.1',
   license='MIT',
   description = 'Denoising Diffusion Probabilistic Models - Pytorch',
   author = 'Phil Wang',