diff --git a/.bumpversion.cfg b/.bumpversion.cfg
index 7c371dd..96a2c0c 100644
--- a/.bumpversion.cfg
+++ b/.bumpversion.cfg
@@ -3,8 +3,7 @@ current_version = 0.1.7
 commit = True
 tag = True
 parse = (?P<major>\d+)\.(?P<minor>\d+)\.(?P<patch>\d+)
-serialize =
-	{major}.{minor}.{patch}
+serialize = {major}.{minor}.{patch}
 
 [bumpversion:file:setup.py]
 
diff --git a/.readthedocs.yml b/.readthedocs.yml
index 52766f5..400fb7f 100644
--- a/.readthedocs.yml
+++ b/.readthedocs.yml
@@ -8,7 +8,7 @@ version: 2
 # Build documentation in the docs/ directory with Sphinx
 sphinx:
   configuration: docs/source/conf.py
-  fail_on_warning: false
+  fail_on_warning: true
 
 # Build documentation with MkDocs
 # mkdocs:
@@ -19,7 +19,7 @@ formats: all
 
 # Optionally set the version of Python and requirements required to build your docs
 python:
-  version: 3.8
+  version: 3.9
   install:
     - method: pip
       path: .
diff --git a/.travis.yml b/.travis.yml
index cf32278..518b106 100644
--- a/.travis.yml
+++ b/.travis.yml
@@ -1,7 +1,7 @@
 dist: bionic
 sudo: false
 language: python
-python: 3.8
+python: 3.9
 cache:
   directories:
   - "$HOME/.cache/pip"
diff --git a/README.md b/README.md
index 29ce960..d5bd355 100644
--- a/README.md
+++ b/README.md
@@ -1,7 +1,9 @@
 # ProtoTorch Models
 
-[![Build Status](https://travis-ci.org/si-cim/prototorch_models.svg?branch=main)](https://travis-ci.org/si-cim/prototorch_models)
+[![Build Status](https://api.travis-ci.com/si-cim/prototorch_models.svg?branch=main)](https://travis-ci.com/github/si-cim/prototorch_models)
+[![GitHub tag (latest by date)](https://img.shields.io/github/v/tag/si-cim/prototorch_models?color=yellow&label=version)](https://github.com/si-cim/prototorch_models/releases)
 [![PyPI](https://img.shields.io/pypi/v/prototorch_models)](https://pypi.org/project/prototorch_models/)
+[![GitHub license](https://img.shields.io/github/license/si-cim/prototorch_models)](https://github.com/si-cim/prototorch_models/blob/master/LICENSE)
 
 Pre-packaged prototype-based machine learning models using ProtoTorch and
 PyTorch-Lightning.