diff --git a/01_pytorch_workflow.ipynb b/01_pytorch_workflow.ipynb
index 42adf19a..161d617b 100644
--- a/01_pytorch_workflow.ipynb
+++ b/01_pytorch_workflow.ipynb
@@ -75,7 +75,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": null,
+      "execution_count": 1,
       "metadata": {
         "id": "nGM1dEsYec0u"
       },
@@ -103,7 +103,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": null,
+      "execution_count": 2,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/",
@@ -116,7 +116,7 @@
         {
           "data": {
             "text/plain": [
-              "'1.12.1+cu113'"
+              "'2.3.0+cu118'"
             ]
           },
           "execution_count": 2,
@@ -169,7 +169,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": null,
+      "execution_count": 3,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/"
@@ -263,7 +263,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": null,
+      "execution_count": 4,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/"
@@ -309,7 +309,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": null,
+      "execution_count": 5,
       "metadata": {
         "id": "w9Ep0T-Dec0y"
       },
@@ -341,7 +341,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": null,
+      "execution_count": 6,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/",
@@ -353,14 +353,12 @@
       "outputs": [
         {
           "data": {
-            "image/png": 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",
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",
             "text/plain": [
-              "<Figure size 720x504 with 1 Axes>"
+              "<Figure size 1000x700 with 1 Axes>"
             ]
           },
-          "metadata": {
-            "needs_background": "light"
-          },
+          "metadata": {},
           "output_type": "display_data"
         }
       ],
@@ -404,7 +402,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": null,
+      "execution_count": 7,
       "metadata": {
         "id": "jhcUJBFuec00"
       },
@@ -484,7 +482,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": null,
+      "execution_count": 114,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/"
@@ -502,7 +500,7 @@
               " tensor([0.1288], requires_grad=True)]"
             ]
           },
-          "execution_count": 8,
+          "execution_count": 114,
           "metadata": {},
           "output_type": "execute_result"
         }
@@ -529,7 +527,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": null,
+      "execution_count": 9,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/"
@@ -588,7 +586,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": null,
+      "execution_count": 10,
       "metadata": {
         "id": "-ITlZgU5ec02"
       },
@@ -625,7 +623,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": null,
+      "execution_count": 11,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/"
@@ -678,7 +676,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": null,
+      "execution_count": 12,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/",
@@ -690,14 +688,12 @@
       "outputs": [
         {
           "data": {
-            "image/png": 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",
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",
             "text/plain": [
-              "<Figure size 720x504 with 1 Axes>"
+              "<Figure size 1000x700 with 1 Axes>"
             ]
           },
-          "metadata": {
-            "needs_background": "light"
-          },
+          "metadata": {},
           "output_type": "display_data"
         }
       ],
@@ -707,7 +703,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": null,
+      "execution_count": 13,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/"
@@ -815,7 +811,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": null,
+      "execution_count": 111,
       "metadata": {
         "id": "P3T7hpNPec03"
       },
@@ -910,7 +906,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": null,
+      "execution_count": 112,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/"
@@ -923,16 +919,16 @@
           "name": "stdout",
           "output_type": "stream",
           "text": [
-            "Epoch: 0 | MAE Train Loss: 0.31288138031959534 | MAE Test Loss: 0.48106518387794495 \n",
-            "Epoch: 10 | MAE Train Loss: 0.1976713240146637 | MAE Test Loss: 0.3463551998138428 \n",
-            "Epoch: 20 | MAE Train Loss: 0.08908725529909134 | MAE Test Loss: 0.21729660034179688 \n",
-            "Epoch: 30 | MAE Train Loss: 0.053148526698350906 | MAE Test Loss: 0.14464017748832703 \n",
-            "Epoch: 40 | MAE Train Loss: 0.04543796554207802 | MAE Test Loss: 0.11360953003168106 \n",
-            "Epoch: 50 | MAE Train Loss: 0.04167863354086876 | MAE Test Loss: 0.09919948130846024 \n",
-            "Epoch: 60 | MAE Train Loss: 0.03818932920694351 | MAE Test Loss: 0.08886633068323135 \n",
-            "Epoch: 70 | MAE Train Loss: 0.03476089984178543 | MAE Test Loss: 0.0805937647819519 \n",
-            "Epoch: 80 | MAE Train Loss: 0.03132382780313492 | MAE Test Loss: 0.07232122868299484 \n",
-            "Epoch: 90 | MAE Train Loss: 0.02788739837706089 | MAE Test Loss: 0.06473556160926819 \n"
+            "Epoch: 0 | MAE Train Loss: 0.003963343799114227 | MAE Test Loss: 0.13013498485088348 \n",
+            "Epoch: 10 | MAE Train Loss: 0.003963343799114227 | MAE Test Loss: 0.13013498485088348 \n",
+            "Epoch: 20 | MAE Train Loss: 0.003963343799114227 | MAE Test Loss: 0.13013498485088348 \n",
+            "Epoch: 30 | MAE Train Loss: 0.003963343799114227 | MAE Test Loss: 0.13013498485088348 \n",
+            "Epoch: 40 | MAE Train Loss: 0.003963343799114227 | MAE Test Loss: 0.13013498485088348 \n",
+            "Epoch: 50 | MAE Train Loss: 0.003963343799114227 | MAE Test Loss: 0.13013498485088348 \n",
+            "Epoch: 60 | MAE Train Loss: 0.003963343799114227 | MAE Test Loss: 0.13013498485088348 \n",
+            "Epoch: 70 | MAE Train Loss: 0.003963343799114227 | MAE Test Loss: 0.13013498485088348 \n",
+            "Epoch: 80 | MAE Train Loss: 0.003963343799114227 | MAE Test Loss: 0.13013498485088348 \n",
+            "Epoch: 90 | MAE Train Loss: 0.003963343799114227 | MAE Test Loss: 0.13013498485088348 \n"
           ]
         }
       ],
@@ -1000,7 +996,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": null,
+      "execution_count": 113,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/",
@@ -1012,14 +1008,12 @@
       "outputs": [
         {
           "data": {
-            "image/png": 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",
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",
             "text/plain": [
-              "<Figure size 432x288 with 1 Axes>"
+              "<Figure size 640x480 with 1 Axes>"
             ]
           },
-          "metadata": {
-            "needs_background": "light"
-          },
+          "metadata": {},
           "output_type": "display_data"
         }
       ],
@@ -2466,7 +2460,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.7.4"
+      "version": "3.11.6"
     }
   },
   "nbformat": 4,
diff --git a/models/01_pytorch_workflow_model_0.pth b/models/01_pytorch_workflow_model_0.pth
index b654ebf2..7d149592 100644
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diff --git a/models/01_pytorch_workflow_model_1.pth b/models/01_pytorch_workflow_model_1.pth
index 9a9a1962..d6e4621f 100644
Binary files a/models/01_pytorch_workflow_model_1.pth and b/models/01_pytorch_workflow_model_1.pth differ