diff --git a/pretrained/CONVERGENCE.md b/pretrained/CONVERGENCE.md
new file mode 100644
index 000000000..6c08dc18b
--- /dev/null
+++ b/pretrained/CONVERGENCE.md
@@ -0,0 +1,14 @@
+These are plots of validation error, training error, and training loss on ImageNet measured after every epoch.
+
+- [Validation Error](#validation-error)
+- [Training Error](#training-error)
+- [Training Loss](#training-loss)
+
+## Validation Error
+
+
+## Training Error
+
+
+## Training Loss
+
diff --git a/pretrained/README.md b/pretrained/README.md
index ca7878448..e30f0db01 100644
--- a/pretrained/README.md
+++ b/pretrained/README.md
@@ -28,6 +28,9 @@ The ResNet-50 model has a batch normalization layer after the addition, instead
| ResNet-50 | 22.24 | 6.08 |
| ResNet-101 | **21.08** | **5.35** |
+##### ImageNet charts
+
+See the [convergence plots](CONVERGENCE.md) for charts of training and validation error and training loss after every epoch.
### Fine-tuning on a custom dataset