diff --git a/.github/workflows/model.yml b/.github/workflows/model.yml
new file mode 100644
index 00000000..18328d05
--- /dev/null
+++ b/.github/workflows/model.yml
@@ -0,0 +1,58 @@
+name: Model Training
+
+on:
+  pull_request:
+
+jobs:
+  build:
+
+    runs-on: self-hosted
+    container:
+      image: docker://ghcr.io/iterative/cml:0-dvc2-base1-gpu
+      volumes:
+        - /home/runner/work/_temp/_github_home:/root
+
+    steps:
+      - uses: actions/checkout@v3
+
+      - name: Set up Python 3.11
+        uses: actions/setup-python@v4
+        with:
+          python-version: "3.11"
+          cache: 'pip'
+
+      - name: Install via exported requirements.txt
+        run: |
+          python -m pip install --upgrade pip
+          python -m pip install flake8 pytest poetry
+          poetry export --with dev --without-hashes -o requirements.txt
+          pip3 install -r requirements.txt
+          pip3 install torch torchvision torchaudio 
+
+      - name: Set up gcloud
+        id: 'auth'
+        uses: 'google-github-actions/auth@v1'
+        with:
+          credentials_json: '${{ secrets.FRDC_DOWNLOAD_KEY }}'
+
+      - name: Set up Cloud SDK
+        uses: 'google-github-actions/setup-gcloud@v1'
+
+      - name: Set up WandB
+        run: |
+          echo "WANDB_API_KEY=${{ secrets.WANDB_API_KEY }}" >> $GITHUB_ENV
+
+      - name: Add src as PYTHONPATH
+        run: |
+          echo "PYTHONPATH=src" >> $GITHUB_ENV
+
+      - name: Run Model Training
+        run: |
+          python3 -m tests.model_tests.chestnut_dec_may.main  
+
+      - name: Comment results via CML
+        run: |
+          cml comment update \
+          --target=pr \
+          --token ${{ secrets.GITHUB_TOKEN }} \
+          tests/model_tests/chestnut_dec_may/report.md
\ No newline at end of file
diff --git a/.github/workflows/python-package.yml b/.github/workflows/python-package.yml
index b80d5419..ac8f5c54 100644
--- a/.github/workflows/python-package.yml
+++ b/.github/workflows/python-package.yml
@@ -4,9 +4,11 @@
 name: Python CI
 
 on:
-  push:
-    branches: [ "main" ]
-  pull_request:
+  workflow_dispatch:
+
+#  push:
+#    branches: [ "main" ]
+#  pull_request:
 
 jobs:
   build:
diff --git a/pipeline/model_tests/chestnut_dec_may/__init__.py b/pipeline/model_tests/chestnut_dec_may/__init__.py
deleted file mode 100644
index e69de29b..00000000
diff --git a/poetry.lock b/poetry.lock
index c863d7fe..a3f10105 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.7.0 and should not be changed by hand.
 
 [[package]]
 name = "aiohttp"
@@ -122,6 +122,17 @@ files = [
 [package.dependencies]
 frozenlist = ">=1.1.0"
 
+[[package]]
+name = "appdirs"
+version = "1.4.4"
+description = "A small Python module for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
+optional = false
+python-versions = "*"
+files = [
+    {file = "appdirs-1.4.4-py2.py3-none-any.whl", hash = "sha256:a841dacd6b99318a741b166adb07e19ee71a274450e68237b4650ca1055ab128"},
+    {file = "appdirs-1.4.4.tar.gz", hash = "sha256:7d5d0167b2b1ba821647616af46a749d1c653740dd0d2415100fe26e27afdf41"},
+]
+
 [[package]]
 name = "async-timeout"
 version = "4.0.3"
@@ -228,101 +239,101 @@ files = [
 
 [[package]]
 name = "charset-normalizer"
-version = "3.3.1"
+version = "3.3.2"
 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 optional = false
 python-versions = ">=3.7.0"
 files = [
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 [package.dependencies]
-numpy = {version = ">=1.16,<2.0", markers = "python_version <= \"3.11\""}
+numpy = ">=1.20,<2.0"
 
 [package.extras]
 bokeh = ["bokeh", "selenium"]
 docs = ["furo", "sphinx (>=7.2)", "sphinx-copybutton"]
-mypy = ["contourpy[bokeh,docs]", "docutils-stubs", "mypy (==1.4.1)", "types-Pillow"]
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 test = ["Pillow", "contourpy[test-no-images]", "matplotlib"]
-test-no-images = ["pytest", "pytest-cov", "wurlitzer"]
+test-no-images = ["pytest", "pytest-cov", "pytest-xdist", "wurlitzer"]
 
 [[package]]
 name = "cupy-cuda12x"
@@ -477,6 +480,20 @@ files = [
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 ]
 
+[[package]]
+name = "docker-pycreds"
+version = "0.4.0"
+description = "Python bindings for the docker credentials store API"
+optional = false
+python-versions = "*"
+files = [
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+]
+
+[package.dependencies]
+six = ">=1.4.0"
+
 [[package]]
 name = "exceptiongroup"
 version = "1.1.3"
@@ -577,19 +594,19 @@ files = [
 
 [[package]]
 name = "filelock"
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+version = "3.13.1"
 description = "A platform independent file lock."
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+typing = ["typing-extensions (>=4.8)"]
 
 [[package]]
 name = "flake8"
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 ]
 
 [package.extras]
-all = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "fs (>=2.2.0,<3)", "lxml (>=4.0,<5)", "lz4 (>=1.7.4.2)", "matplotlib", "munkres", "scipy", "skia-pathops (>=0.5.0)", "sympy", "uharfbuzz (>=0.23.0)", "unicodedata2 (>=15.0.0)", "xattr", "zopfli (>=0.1.4)"]
+all = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "fs (>=2.2.0,<3)", "lxml (>=4.0,<5)", "lz4 (>=1.7.4.2)", "matplotlib", "munkres", "scipy", "skia-pathops (>=0.5.0)", "sympy", "uharfbuzz (>=0.23.0)", "unicodedata2 (>=15.1.0)", "xattr", "zopfli (>=0.1.4)"]
 graphite = ["lz4 (>=1.7.4.2)"]
 interpolatable = ["munkres", "scipy"]
 lxml = ["lxml (>=4.0,<5)"]
@@ -669,7 +686,7 @@ repacker = ["uharfbuzz (>=0.23.0)"]
 symfont = ["sympy"]
 type1 = ["xattr"]
 ufo = ["fs (>=2.2.0,<3)"]
-unicode = ["unicodedata2 (>=15.0.0)"]
+unicode = ["unicodedata2 (>=15.1.0)"]
 woff = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "zopfli (>=0.1.4)"]
 
 [[package]]
@@ -781,6 +798,37 @@ smb = ["smbprotocol"]
 ssh = ["paramiko"]
 tqdm = ["tqdm"]
 
+[[package]]
+name = "gitdb"
+version = "4.0.11"
+description = "Git Object Database"
+optional = false
+python-versions = ">=3.7"
+files = [
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+    {file = "gitdb-4.0.11.tar.gz", hash = "sha256:bf5421126136d6d0af55bc1e7c1af1c397a34f5b7bd79e776cd3e89785c2b04b"},
+]
+
+[package.dependencies]
+smmap = ">=3.0.1,<6"
+
+[[package]]
+name = "gitpython"
+version = "3.1.40"
+description = "GitPython is a Python library used to interact with Git repositories"
+optional = false
+python-versions = ">=3.7"
+files = [
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+    {file = "GitPython-3.1.40.tar.gz", hash = "sha256:22b126e9ffb671fdd0c129796343a02bf67bf2994b35449ffc9321aa755e18a4"},
+]
+
+[package.dependencies]
+gitdb = ">=4.0.1,<5"
+
+[package.extras]
+test = ["black", "coverage[toml]", "ddt (>=1.1.1,!=1.4.3)", "mock", "mypy", "pre-commit", "pytest", "pytest-cov", "pytest-instafail", "pytest-subtests", "pytest-sugar"]
+
 [[package]]
 name = "glcm-cupy"
 version = "0.2.1"
@@ -820,13 +868,13 @@ grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
 
 [[package]]
 name = "google-auth"
-version = "2.23.3"
+version = "2.23.4"
 description = "Google Authentication Library"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -861,13 +909,13 @@ grpc = ["grpcio (>=1.38.0,<2.0dev)"]
 
 [[package]]
 name = "google-cloud-storage"
-version = "2.12.0"
+version = "2.13.0"
 description = "Google Cloud Storage API client library"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -998,13 +1046,13 @@ grpc = ["grpcio (>=1.44.0,<2.0.0.dev0)"]
 
 [[package]]
 name = "identify"
-version = "2.5.30"
+version = "2.5.31"
 description = "File identification library for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.extras]
@@ -1023,13 +1071,13 @@ files = [
 
 [[package]]
 name = "imageio"
-version = "2.31.6"
+version = "2.32.0"
 description = "Library for reading and writing a wide range of image, video, scientific, and volumetric data formats."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -1037,15 +1085,16 @@ numpy = "*"
 pillow = ">=8.3.2,<10.1.0"
 
 [package.extras]
-all-plugins = ["astropy", "av", "imageio-ffmpeg", "psutil", "tifffile"]
-all-plugins-pypy = ["av", "imageio-ffmpeg", "psutil", "tifffile"]
+all-plugins = ["astropy", "av", "imageio-ffmpeg", "pillow-heif", "psutil", "tifffile"]
+all-plugins-pypy = ["av", "imageio-ffmpeg", "pillow-heif", "psutil", "tifffile"]
 build = ["wheel"]
 dev = ["black", "flake8", "fsspec[github]", "pytest", "pytest-cov"]
 docs = ["numpydoc", "pydata-sphinx-theme", "sphinx (<6)"]
 ffmpeg = ["imageio-ffmpeg", "psutil"]
 fits = ["astropy"]
-full = ["astropy", "av", "black", "flake8", "fsspec[github]", "gdal", "imageio-ffmpeg", "itk", "numpydoc", "psutil", "pydata-sphinx-theme", "pytest", "pytest-cov", "sphinx (<6)", "tifffile", "wheel"]
+full = ["astropy", "av", "black", "flake8", "fsspec[github]", "gdal", "imageio-ffmpeg", "itk", "numpydoc", "pillow-heif", "psutil", "pydata-sphinx-theme", "pytest", "pytest-cov", "sphinx (<6)", "tifffile", "wheel"]
 gdal = ["gdal"]
+heif = ["pillow-heif"]
 itk = ["itk"]
 linting = ["black", "flake8"]
 pyav = ["av"]
@@ -1389,39 +1438,39 @@ files = [
 
 [[package]]
 name = "matplotlib"
-version = "3.8.0"
+version = "3.8.1"
 description = "Python plotting package"
 optional = false
 python-versions = ">=3.9"
 files = [
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 [package.dependencies]
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 fonttools = ">=4.22.0"
 importlib-resources = {version = ">=3.2.0", markers = "python_version < \"3.10\""}
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 numpy = ">=1.21,<2"
 packaging = ">=20.0"
-pillow = ">=6.2.0"
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 python-dateutil = ">=2.7"
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 [[package]]
 name = "mccabe"
@@ -1561,13 +1609,13 @@ files = [
 
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+version = "3.2.1"
 description = "Python package for creating and manipulating graphs and networks"
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 python-versions = ">=3.9"
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 ]
 
 [package.dependencies]
 numpy = [
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-    {version = ">=1.23.2", markers = "python_version == \"3.11\""},
+    {version = ">=1.22.4,<2", markers = "python_version < \"3.11\""},
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 ]
 python-dateutil = ">=2.8.2"
 pytz = ">=2020.1"
@@ -1838,26 +1886,52 @@ virtualenv = ">=20.10.0"
 
 [[package]]
 name = "protobuf"
-version = "4.24.4"
+version = "4.25.0"
 description = ""
 optional = false
-python-versions = ">=3.7"
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+    {file = "setproctitle-1.3.3.tar.gz", hash = "sha256:c913e151e7ea01567837ff037a23ca8740192880198b7fbb90b16d181607caae"},
+]
+
+[package.extras]
+test = ["pytest"]
+
 [[package]]
 name = "setuptools"
 version = "68.2.2"
@@ -2265,28 +2484,6 @@ docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments
 testing = ["build[virtualenv]", "filelock (>=3.4.0)", "flake8-2020", "ini2toml[lite] (>=0.9)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pip (>=19.1)", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-perf", "pytest-ruff", "pytest-timeout", "pytest-xdist", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"]
 testing-integration = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "packaging (>=23.1)", "pytest", "pytest-enabler", "pytest-xdist", "tomli", "virtualenv (>=13.0.0)", "wheel"]
 
-[[package]]
-name = "setuptools-scm"
-version = "8.0.4"
-description = "the blessed package to manage your versions by scm tags"
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "setuptools-scm-8.0.4.tar.gz", hash = "sha256:b5f43ff6800669595193fd09891564ee9d1d7dcb196cab4b2506d53a2e1c95c7"},
-    {file = "setuptools_scm-8.0.4-py3-none-any.whl", hash = "sha256:b47844cd2a84b83b3187a5782c71128c28b4c94cad8bfb871da2784a5cb54c4f"},
-]
-
-[package.dependencies]
-packaging = ">=20"
-setuptools = "*"
-tomli = {version = ">=1", markers = "python_version < \"3.11\""}
-typing-extensions = "*"
-
-[package.extras]
-docs = ["entangled-cli[rich]", "mkdocs", "mkdocs-entangled-plugin", "mkdocs-material", "mkdocstrings[python]", "pygments"]
-rich = ["rich"]
-test = ["build", "pytest", "rich", "wheel"]
-
 [[package]]
 name = "six"
 version = "1.16.0"
@@ -2298,6 +2495,17 @@ files = [
     {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
 ]
 
+[[package]]
+name = "smmap"
+version = "5.0.1"
+description = "A pure Python implementation of a sliding window memory map manager"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "smmap-5.0.1-py3-none-any.whl", hash = "sha256:e6d8668fa5f93e706934a62d7b4db19c8d9eb8cf2adbb75ef1b675aa332b69da"},
+    {file = "smmap-5.0.1.tar.gz", hash = "sha256:dceeb6c0028fdb6734471eb07c0cd2aae706ccaecab45965ee83f11c8d3b1f62"},
+]
+
 [[package]]
 name = "sympy"
 version = "1.12"
@@ -2568,6 +2776,47 @@ platformdirs = ">=3.9.1,<4"
 docs = ["furo (>=2023.7.26)", "proselint (>=0.13)", "sphinx (>=7.1.2)", "sphinx-argparse (>=0.4)", "sphinxcontrib-towncrier (>=0.2.1a0)", "towncrier (>=23.6)"]
 test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess (>=1)", "flaky (>=3.7)", "packaging (>=23.1)", "pytest (>=7.4)", "pytest-env (>=0.8.2)", "pytest-freezer (>=0.4.8)", "pytest-mock (>=3.11.1)", "pytest-randomly (>=3.12)", "pytest-timeout (>=2.1)", "setuptools (>=68)", "time-machine (>=2.10)"]
 
+[[package]]
+name = "wandb"
+version = "0.16.0"
+description = "A CLI and library for interacting with the Weights & Biases API."
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "wandb-0.16.0-py3-none-any.whl", hash = "sha256:e103142a5ecdb158d29441c2bf9f935ae149ed562377f7cebffd2a6f7c9de949"},
+    {file = "wandb-0.16.0.tar.gz", hash = "sha256:8d9875f1d8d75fee32dc51f6727bc277ce4f3869d7319ccf5f36ce596597402a"},
+]
+
+[package.dependencies]
+appdirs = ">=1.4.3"
+Click = ">=7.1,<8.0.0 || >8.0.0"
+docker-pycreds = ">=0.4.0"
+GitPython = ">=1.0.0,<3.1.29 || >3.1.29"
+protobuf = [
+    {version = ">=3.15.0,<4.21.0 || >4.21.0,<5", markers = "python_version == \"3.9\" and sys_platform == \"linux\""},
+    {version = ">=3.19.0,<4.21.0 || >4.21.0,<5", markers = "python_version > \"3.9\" or sys_platform != \"linux\""},
+]
+psutil = ">=5.0.0"
+PyYAML = "*"
+requests = ">=2.0.0,<3"
+sentry-sdk = ">=1.0.0"
+setproctitle = "*"
+setuptools = "*"
+typing-extensions = {version = "*", markers = "python_version < \"3.10\""}
+
+[package.extras]
+async = ["httpx (>=0.23.0)"]
+aws = ["boto3"]
+azure = ["azure-identity", "azure-storage-blob"]
+gcp = ["google-cloud-storage"]
+kubeflow = ["google-cloud-storage", "kubernetes", "minio", "sh"]
+launch = ["PyYAML (>=6.0.0)", "awscli", "azure-containerregistry", "azure-identity", "azure-storage-blob", "boto3", "botocore", "chardet", "google-auth", "google-cloud-aiplatform", "google-cloud-artifact-registry", "google-cloud-compute", "google-cloud-storage", "iso8601", "kubernetes", "kubernetes-asyncio", "nbconvert", "nbformat", "optuna", "typing-extensions"]
+media = ["bokeh", "moviepy", "numpy", "pillow", "plotly", "rdkit-pypi", "soundfile"]
+models = ["cloudpickle"]
+nexus = ["wandb-core (>=0.17.0b1)"]
+perf = ["orjson"]
+sweeps = ["sweeps (>=0.2.0)"]
+
 [[package]]
 name = "xxhash"
 version = "3.4.1"
@@ -2790,4 +3039,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9,<3.12"
-content-hash = "64b962bbb2c844429bd2e26aff2c5582bd3d5f37245333c0168bd205c1596747"
+content-hash = "bd79eca0415b2905ce1920cfd5a5fa7cf510e07e1f8eb815ca25d3cde332abc4"
diff --git a/pyproject.toml b/pyproject.toml
index 1869a26d..18a5ca73 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -34,6 +34,7 @@ pytest = "^7.4.2"
 pre-commit = "^3.5.0"
 black = "^23.10.0"
 flake8 = "^6.1.0"
+wandb = "^0.16.0"
 
 
 [tool.poetry.group.glcm.dependencies]
diff --git a/pipeline/model_tests/README.md b/tests/model_tests/README.md
similarity index 100%
rename from pipeline/model_tests/README.md
rename to tests/model_tests/README.md
diff --git a/pipeline/__init__.py b/tests/model_tests/__init__.py
similarity index 100%
rename from pipeline/__init__.py
rename to tests/model_tests/__init__.py
diff --git a/pipeline/model_tests/__init__.py b/tests/model_tests/chestnut_dec_may/__init__.py
similarity index 100%
rename from pipeline/model_tests/__init__.py
rename to tests/model_tests/chestnut_dec_may/__init__.py
diff --git a/pipeline/model_tests/chestnut_dec_may/augmentation.py b/tests/model_tests/chestnut_dec_may/augmentation.py
similarity index 100%
rename from pipeline/model_tests/chestnut_dec_may/augmentation.py
rename to tests/model_tests/chestnut_dec_may/augmentation.py
diff --git a/pipeline/model_tests/chestnut_dec_may/confusion_matrix.png b/tests/model_tests/chestnut_dec_may/confusion_matrix.png
similarity index 100%
rename from pipeline/model_tests/chestnut_dec_may/confusion_matrix.png
rename to tests/model_tests/chestnut_dec_may/confusion_matrix.png
diff --git a/pipeline/model_tests/chestnut_dec_may/evaluate.py b/tests/model_tests/chestnut_dec_may/evaluate.py
similarity index 91%
rename from pipeline/model_tests/chestnut_dec_may/evaluate.py
rename to tests/model_tests/chestnut_dec_may/evaluate.py
index 5ecebdc6..0cc245cd 100644
--- a/pipeline/model_tests/chestnut_dec_may/evaluate.py
+++ b/tests/model_tests/chestnut_dec_may/evaluate.py
@@ -7,8 +7,8 @@
 
 from frdc.train import FRDCDataModule
 from frdc.train import FRDCModule
-from pipeline.model_tests.chestnut_dec_may.preprocess import preprocess
-from pipeline.model_tests.utils import get_dataset
+from .preprocess import preprocess
+from tests.model_tests.utils import get_dataset
 
 # Get our Test
 # TODO: Ideally, we should have a separate dataset for testing.
diff --git a/pipeline/model_tests/chestnut_dec_may/le.npy b/tests/model_tests/chestnut_dec_may/le.npy
similarity index 100%
rename from pipeline/model_tests/chestnut_dec_may/le.npy
rename to tests/model_tests/chestnut_dec_may/le.npy
diff --git a/pipeline/model_tests/chestnut_dec_may/main.py b/tests/model_tests/chestnut_dec_may/main.py
similarity index 70%
rename from pipeline/model_tests/chestnut_dec_may/main.py
rename to tests/model_tests/chestnut_dec_may/main.py
index 36bf9a87..9aa6f1ca 100644
--- a/pipeline/model_tests/chestnut_dec_may/main.py
+++ b/tests/model_tests/chestnut_dec_may/main.py
@@ -3,6 +3,7 @@
 This test is done by training a model on the 20201218 dataset, then testing on
 the 20210510 dataset.
 """
+from pathlib import Path
 
 import lightning as pl
 import numpy as np
@@ -16,19 +17,30 @@
 
 from frdc.models import FaceNet
 from frdc.train import FRDCDataModule, FRDCModule
-from pipeline.model_tests.chestnut_dec_may.augmentation import augmentation
-from pipeline.model_tests.chestnut_dec_may.preprocess import preprocess
-from pipeline.model_tests.utils import get_dataset
+from tests.model_tests.chestnut_dec_may.augmentation import augmentation
+from tests.model_tests.chestnut_dec_may.preprocess import preprocess
+from tests.model_tests.utils import get_dataset
+from lightning.pytorch.loggers import WandbLogger
+import wandb
 
+assert wandb.run is None
 
-def train_val_test_split(x: TensorDataset) -> list[Dataset, Dataset, Dataset]:
+wandb.setup(wandb.Settings(program=__name__, program_relpath=__name__))
+run = wandb.init()
+logger = WandbLogger(name="chestnut_dec_may", project="frdc")
+
+
+def train_val_test_split(
+    x: TensorDataset,
+) -> list[Dataset, Dataset, Dataset]:
     # Defines how to split the dataset into train, val, test subsets.
     # TODO: Quite ugly as it uses the global variables segments_0 and
     #  segments_1. Will need to refactor this.
     return [
         Subset(x, list(range(len(segments_0)))),
         Subset(
-            x, list(range(len(segments_0), len(segments_0) + len(segments_1)))
+            x,
+            list(range(len(segments_0), len(segments_0) + len(segments_1))),
         ),
         [],
     ]
@@ -40,12 +52,13 @@ def train_val_test_split(x: TensorDataset) -> list[Dataset, Dataset, Dataset]:
     "chestnut_nature_park", "20210510", "90deg43m85pct255deg/map"
 )
 
+
 # Concatenate the datasets
 segments = [*segments_0, *segments_1]
 labels = [*labels_0, *labels_1]
 
 BATCH_SIZE = 5
-EPOCHS = 100
+# EPOCHS = 100
 LR = 1e-3
 
 # Prepare the datamodule and trainer
@@ -65,10 +78,13 @@ def train_val_test_split(x: TensorDataset) -> list[Dataset, Dataset, Dataset]:
 )
 
 trainer = pl.Trainer(
-    max_epochs=EPOCHS,
+    max_epochs=1,
     # Set the seed for reproducibility
+    fast_dev_run=True,
     # TODO: Though this is set, the results are still not reproducible.
     deterministic=True,
+    # fast_dev_run=True,
+    accelerator="cpu",
     log_every_n_steps=4,
     callbacks=[
         # Stop training if the validation loss doesn't improve for 4 epochs
@@ -78,11 +94,13 @@ def train_val_test_split(x: TensorDataset) -> list[Dataset, Dataset, Dataset]:
         # Save the best model
         ModelCheckpoint(monitor="val_loss", mode="min", save_top_k=1),
     ],
+    logger=logger,
 )
 
 m = FRDCModule(
     # Our model is the "FaceNet" model
-    # TODO: It's not really the FaceNet model, but a modified version of it.
+    # TODO: It's not really the FaceNet model,
+    #  but a modified version of it.
     model_cls=FaceNet,
     model_kwargs=dict(n_out_classes=len(set(labels))),
     # We use the Adam optimizer
@@ -94,3 +112,15 @@ def train_val_test_split(x: TensorDataset) -> list[Dataset, Dataset, Dataset]:
 trainer.fit(m, datamodule=dm)
 # TODO: Quite hacky, but we need to save the label encoder for prediction.
 np.save("le.npy", dm.le.classes_)
+
+report = f"""
+# Chestnut Nature Park (Dec 2020 vs May 2021)
+[WandB Report]({run.get_url()})
+"""
+
+
+with open(Path(__file__).parent / "report.md", "w") as f:
+    f.write(report)
+
+
+wandb.finish()
diff --git a/pipeline/model_tests/chestnut_dec_may/preprocess.py b/tests/model_tests/chestnut_dec_may/preprocess.py
similarity index 80%
rename from pipeline/model_tests/chestnut_dec_may/preprocess.py
rename to tests/model_tests/chestnut_dec_may/preprocess.py
index 8909c19b..090b7b9d 100644
--- a/pipeline/model_tests/chestnut_dec_may/preprocess.py
+++ b/tests/model_tests/chestnut_dec_may/preprocess.py
@@ -1,10 +1,12 @@
 import numpy as np
 import torch
-from glcm_cupy import Features
+
+# from glcm_cupy import Features
 from torchvision.transforms.v2 import Resize
 
 from frdc.models import FaceNet
-from frdc.preprocess.glcm_padded import append_glcm_padded_cached
+
+# from frdc.preprocess.glcm_padded import append_glcm_padded_cached
 from frdc.preprocess.scale import scale_normal_per_band, scale_0_1_per_band
 
 
@@ -24,16 +26,17 @@ def segment_preprocess(ar: np.ndarray) -> torch.Tensor:
 
     # Add a small epsilon to avoid upper bound of 1.0
     ar = scale_0_1_per_band(ar, epsilon=0.001)
-    ar = append_glcm_padded_cached(
-        ar,
-        step_size=7,
-        bin_from=1,
-        bin_to=128,
-        radius=3,
-        features=(Features.MEAN,),
-    )
-    # We can then scale normal for better neural network convergence
+    # ar = append_glcm_padded_cached(
+    #     ar,
+    #     step_size=7,
+    #     bin_from=1,
+    #     bin_to=128,
+    #     radius=3,
+    #     features=(Features.MEAN,),
+    # )
+    # # We can then scale normal for better neural network convergence
     ar = scale_normal_per_band(ar)
+    ar = np.rollaxis(ar, axis=2)
 
     # TODO: Doesn't seem like we have any channel preprocessing here.
     # ar = np.stack([
diff --git a/pipeline/model_tests/utils.py b/tests/model_tests/utils.py
similarity index 100%
rename from pipeline/model_tests/utils.py
rename to tests/model_tests/utils.py