Fix README

examples/v1beta1/tekton/README.md

@@ -1,41 +1,40 @@
 # Katib examples with Tekton integration
 
 Here you can find examples of using Katib with [Tekton](https://github.com/tektoncd/pipeline).
-Check [here](https://github.com/tektoncd/pipeline/blob/master/docs/install.md#installing-tekton-pipelines-on-kubernetes) how to install Tekton on your cluster.
 
-**Note** that you must modify Tekton [`nop`](https://github.com/tektoncd/pipeline/tree/master/cmd/nop) image to run Tekton pipelines. `Nop` images is used to stop sidecar containers after main container is completed. Metrics collector must be not stopped after training container is finished. To avoid this problem, `nop` image should be equal to metrics collector sidecar image.
+Check [here](https://github.com/tektoncd/pipeline/blob/master/docs/install.md#installing-tekton-pipelines-on-kubernetes)
+how to install Tekton on your cluster.
 
-For example, if you are using [StdOut](https://www.kubeflow.org/docs/components/hyperparameter-tuning/experiment/#metrics-collector) metrics collector, `nop` image must be equal to `gcr.io/kubeflow-images-public/katib/v1beta1/file-metrics-collector`.
+**Note** that you must modify Tekton [`nop`](https://github.com/tektoncd/pipeline/tree/master/cmd/nop)
+image to run Tekton pipelines. `Nop` image is used to stop sidecar containers after main container
+is completed. Metrics collector should not be stopped after training container is finished.
+To avoid this problem, set `nop` image to metrics collector sidecar image.
 
-After deploying Tekton on your cluster, run bellow command to modify `nop` image.
+For example, if you are using
+[StdOut](https://www.kubeflow.org/docs/components/hyperparameter-tuning/experiment/#metrics-collector) metrics collector,
+`nop` image must be equal to `gcr.io/kubeflow-images-public/katib/v1beta1/file-metrics-collector`.
+
+After deploying Tekton on your cluster, run bellow command to modify `nop` image:
 
 ```bash
 kubectl patch deploy tekton-pipelines-controller -n tekton-pipelines --type='json' \
--p='[{"op": "replace", "path": "/spec/template/spec/containers/0/args/9", "value": "gcr.io/kubeflow-images-public/katib/v1beta1/file-metrics-collector"}]'
+  -p='[{"op": "replace", "path": "/spec/template/spec/containers/0/args/9", "value": "gcr.io/kubeflow-images-public/katib/v1beta1/file-metrics-collector"}]'
 ```
 
 Check that Tekton controller's pod was restarted:
 
-```
-kubectl get pods -n tekton-pipelines
-```
-
-Expected output:
+```bash
+$ kubectl get pods -n tekton-pipelines
 
-```
 NAME                                           READY   STATUS    RESTARTS   AGE
 tekton-pipelines-controller-7fcb6c6cd4-p8zf2   1/1     Running   0          2m2s
 tekton-pipelines-webhook-7f9888f9b-7d6mr       1/1     Running   0          12h
 ```
 
 Check that `nop` image was modified:
 
-```
-kubectl get pod <tekton-controller-pod-name> -n tekton-pipelines- -o yaml | grep katib/v1beta1/file-metrics-collector
-```
-
-Expected output:
+```bash
+$ kubectl get pod <tekton-controller-pod-name> -n tekton-pipelines -o yaml | grep katib/v1beta1/file-metrics-collector
 
-```
-- gcr.io/kubeflow-images-public/katib/v1beta1/file-metrics-collector
+   - gcr.io/kubeflow-images-public/katib/v1beta1/file-metrics-collector
 ```

examples/v1beta1/tekton/pipeline-run.yaml

@@ -1,9 +1,8 @@
-# This examples shows how you can use Tekton Pipelines in Katib.
-# PipelineRun shows how you can transfer parameters from one Task to another and run HP job.
+# This examples shows how you can use Tekton Pipelines in Katib, transfer parameters from one Task to another and run HP job.
 # It uses simple random algorithm and tunes only learning rate.
 # Pipelines contains 2 Tasks, first is data-preprocessing second is model-training.
-# First Task shows how you can prepare your training data (simply divide number of training examples) before running HP job.
-# Number of examples is transferred to the second Task.
+# First Task shows how you can prepare your training data (here: simply divide number of training examples) before running HP job.
+# Number of training examples is transferred to the second Task.
 # Second Task is the actual training which metrics collector sidecar is injected.
 # Note that for this example Tekton controller's nop image must be equal to StdOut metrics collector image.
 apiVersion: "kubeflow.org/v1beta1"
@@ -99,6 +98,5 @@ spec:
                     command:
                       - "python3"
                       - "/opt/mxnet-mnist/mnist.py"
-                      - "--batch-size=64"
                       - "--num-examples=$(params.num-examples)"
                       - "--lr=$(params.lr)"