trainer.ipynb

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      "cell_type": "code",
      "execution_count": 37,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "id": "y9-2GA-EyXAj",
        "outputId": "ec688492-65d8-453f-9a66-390487b1da7a"
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        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'2.2.1+cu121'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 37
        }
      ],
      "source": [
        "import torch\n",
        "\n",
        "torch.__version__"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Device agnostic code\n",
        "device = \"cuda\" if torch.cuda.is_available() else \"cpu\"\n",
        "device"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
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      },
      "execution_count": 38,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'cuda'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 38
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!nvidia-smi"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "rRRZbegNywPx",
        "outputId": "d6e7a5ad-9f84-4b43-ec49-3d1e1151c7c6"
      },
      "execution_count": 39,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Tue Apr 30 07:24:42 2024       \n",
            "+---------------------------------------------------------------------------------------+\n",
            "| NVIDIA-SMI 535.104.05             Driver Version: 535.104.05   CUDA Version: 12.2     |\n",
            "|-----------------------------------------+----------------------+----------------------+\n",
            "| GPU  Name                 Persistence-M | Bus-Id        Disp.A | Volatile Uncorr. ECC |\n",
            "| Fan  Temp   Perf          Pwr:Usage/Cap |         Memory-Usage | GPU-Util  Compute M. |\n",
            "|                                         |                      |               MIG M. |\n",
            "|=========================================+======================+======================|\n",
            "|   0  Tesla T4                       Off | 00000000:00:04.0 Off |                    0 |\n",
            "| N/A   65C    P0              30W /  70W |    727MiB / 15360MiB |      0%      Default |\n",
            "|                                         |                      |                  N/A |\n",
            "+-----------------------------------------+----------------------+----------------------+\n",
            "                                                                                         \n",
            "+---------------------------------------------------------------------------------------+\n",
            "| Processes:                                                                            |\n",
            "|  GPU   GI   CI        PID   Type   Process name                            GPU Memory |\n",
            "|        ID   ID                                                             Usage      |\n",
            "|=======================================================================================|\n",
            "+---------------------------------------------------------------------------------------+\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Data-preprocessing"
      ],
      "metadata": {
        "id": "jrEVKjqZy2cI"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from pathlib import Path\n",
        "from zipfile import ZipFile\n",
        "\n",
        "data_path = Path(\"Data\")\n",
        "image_path = data_path / \"Date_Fruit_Image_Dataset\"\n",
        "\n",
        "# Extract train and test images and save it in image_path\n",
        "with ZipFile(data_path / \"Date_Fruit_Image_Dataset_Splitted_Test.zip\") as zip_ref:\n",
        "  zip_ref.extractall(image_path)\n",
        "with ZipFile(data_path / \"Date_Fruit_Image_Dataset_Splitted_Train.zip\") as zip_ref:\n",
        "  zip_ref.extractall(image_path)"
      ],
      "metadata": {
        "id": "n7vx_bVjyyZi"
      },
      "execution_count": 40,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Setup train and test directories\n",
        "train_dir = image_path / \"train\"\n",
        "test_dir = image_path / \"test\""
      ],
      "metadata": {
        "id": "aTByB8-v0dwC"
      },
      "execution_count": 41,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Set the transform of the images\n",
        "from torchvision import transforms\n",
        "simple_data_transform = transforms.Compose([\n",
        "    transforms.Resize(size = (224 , 224)),# Resize to save space and follow best practice\n",
        "    # Flip random samples horziantly\n",
        "    transforms.RandomHorizontalFlip(p = 0.5),\n",
        "    # Turn image to tensor\n",
        "    transforms.ToTensor()\n",
        "])"
      ],
      "metadata": {
        "id": "5DKXg8V81tk9"
      },
      "execution_count": 42,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from torchvision.datasets import ImageFolder\n",
        "train_data = ImageFolder(root = train_dir , transform = simple_data_transform)\n",
        "test_data = ImageFolder(root = test_dir , transform = simple_data_transform)"
      ],
      "metadata": {
        "id": "JersI_wu1mhz"
      },
      "execution_count": 43,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "class_names = train_data.classes\n",
        "class_names"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "3MX7i4gz2jmx",
        "outputId": "a4c401cb-6336-4013-e718-c43a7ef2e947"
      },
      "execution_count": 44,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['Ajwa',\n",
              " 'Galaxy',\n",
              " 'Mejdool',\n",
              " 'Meneifi',\n",
              " 'NabtatAli',\n",
              " 'Rutab',\n",
              " 'Shaishe',\n",
              " 'Sokari',\n",
              " 'Sugaey']"
            ]
          },
          "metadata": {},
          "execution_count": 44
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "len(train_data) , len(test_data)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "nBC1_XpE2qMS",
        "outputId": "9c0a1c2d-e97f-4147-ec33-561409d61ec5"
      },
      "execution_count": 45,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(1156, 502)"
            ]
          },
          "metadata": {},
          "execution_count": 45
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Visualize sample images"
      ],
      "metadata": {
        "id": "AyWO7Zsg3RoX"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "def visualize(img , label):\n",
        "  # To visualize in matplotlib we need to rearrange the order of dimensions\n",
        "  img_permute = img.permute(1,2,0)\n",
        "\n",
        "  # Plot the image\n",
        "  plt.figure(figsize=(10,7))\n",
        "  plt.imshow(img_permute)\n",
        "  plt.axis(False)\n",
        "  plt.title(class_names[label])"
      ],
      "metadata": {
        "id": "sjFJoWfV2vqj"
      },
      "execution_count": 46,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "img , label = train_data[0][0] , train_data[0][1]\n",
        "visualize(img , label)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 598
        },
        "id": "nKMlIF1b3M-F",
        "outputId": "c6019a89-3dc4-4f5b-c857-e8b727dbc86e"
      },
      "execution_count": 47,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x700 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "img , label = test_data[100][0] , test_data[100][1]\n",
        "visualize(img , label)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 598
        },
        "id": "G6aizmfp3jtV",
        "outputId": "4a7a21bb-7804-4717-949b-c08fb18af062"
      },
      "execution_count": 48,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x700 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import numpy as np\n",
        "\n",
        "# Function to plot the distribution of classes\n",
        "def plot_class_distribution(dataset, title='Class Distribution'):\n",
        "    class_counts = {}\n",
        "    for _, index in dataset:\n",
        "        class_label = dataset.classes[index]\n",
        "        if class_label in class_counts:\n",
        "            class_counts[class_label] += 1\n",
        "        else:\n",
        "            class_counts[class_label] = 1\n",
        "\n",
        "    # Sorting classes alphabetically by name for consistent plotting\n",
        "    sorted_classes = sorted(class_counts.keys())\n",
        "    counts = [class_counts[class_name] for class_name in sorted_classes]\n",
        "\n",
        "    # Generating a color for each class using a colormap\n",
        "    colors = plt.cm.viridis(np.linspace(0, 1, len(sorted_classes)))\n",
        "\n",
        "    plt.figure(figsize=(10, 8))\n",
        "    plt.bar(sorted_classes, counts, color=colors)\n",
        "    plt.xlabel('Classes')\n",
        "    plt.ylabel('Counts')\n",
        "    plt.title(title)\n",
        "    plt.xticks(rotation=90)  # Rotate class labels to prevent overlap\n",
        "    plt.show()\n",
        "\n",
        "# Plotting the distribution for train and test datasets\n",
        "plot_class_distribution(train_data, title='Train Data Class Distribution')\n",
        "plot_class_distribution(test_data, title='Test Data Class Distribution')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "7P_jOT3a1JbZ",
        "outputId": "9135376e-b20c-4f04-fa10-82d30a48e7f7"
      },
      "execution_count": 49,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x800 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x800 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Model construction"
      ],
      "metadata": {
        "id": "tLTcrLW740Nk"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Put your data to dataloader in order to be iterable and separated as batches\n",
        "from torch.utils.data import DataLoader\n",
        "import os\n",
        "NUM_OF_WORKERS = os.cpu_count() # Number of available cpu's\n",
        "BATCH_SIZE = 64 # This and workers number vary depending on your hardware but the big it was the faster the training will be\n",
        "\n",
        "train_dataloader = DataLoader(train_data , batch_size = BATCH_SIZE , num_workers = NUM_OF_WORKERS , shuffle = True)\n",
        "test_dataloader = DataLoader(test_data , batch_size = BATCH_SIZE , num_workers = NUM_OF_WORKERS)\n",
        "\n",
        "train_dataloader , test_dataloader"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "vA69DDqA3nMF",
        "outputId": "f24683de-156c-4d75-b61b-594e6b848303"
      },
      "execution_count": 50,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(<torch.utils.data.dataloader.DataLoader at 0x7c07f3fcdf00>,\n",
              " <torch.utils.data.dataloader.DataLoader at 0x7c07f3fce620>)"
            ]
          },
          "metadata": {},
          "execution_count": 50
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from torch import nn\n",
        "class DateCNNModel(nn.Module):\n",
        "  def __init__(self , input_shape: int , hidden_units: int , output_shape: int):\n",
        "    super().__init__()\n",
        "    self.conv_block_1 = nn.Sequential(\n",
        "            nn.Conv2d(in_channels=input_shape, out_channels=hidden_units, kernel_size=3, padding=1, stride=1),\n",
        "            nn.BatchNorm2d(hidden_units),\n",
        "            nn.ReLU(),\n",
        "            nn.Conv2d(in_channels=hidden_units, out_channels=hidden_units, kernel_size=3, padding=1, stride=1),\n",
        "            nn.BatchNorm2d(hidden_units),\n",
        "            nn.ReLU(),\n",
        "            nn.MaxPool2d(kernel_size=2, stride=2)\n",
        "        )\n",
        "    self.conv_block_2 = nn.Sequential(\n",
        "      nn.Conv2d(in_channels=hidden_units, out_channels=hidden_units*2, kernel_size=3, padding=1, stride=1),\n",
        "      nn.BatchNorm2d(hidden_units*2),\n",
        "      nn.ReLU(),\n",
        "      nn.Conv2d(in_channels=hidden_units*2, out_channels=hidden_units*2, kernel_size=3, padding=1, stride=1),\n",
        "      nn.BatchNorm2d(hidden_units*2),\n",
        "      nn.ReLU(),\n",
        "      nn.MaxPool2d(kernel_size=2, stride=2)\n",
        "    )\n",
        "    self.conv_block_3 = nn.Sequential(\n",
        "      nn.Conv2d(in_channels=hidden_units*2, out_channels=hidden_units*4, kernel_size=3, padding=1, stride=1),\n",
        "      nn.BatchNorm2d(hidden_units*4),\n",
        "      nn.ReLU(),\n",
        "      nn.Conv2d(in_channels=hidden_units*4, out_channels=hidden_units*4, kernel_size=3, padding=1, stride=1),\n",
        "      nn.BatchNorm2d(hidden_units*4),\n",
        "      nn.ReLU(),\n",
        "      nn.MaxPool2d(kernel_size=2, stride=2)\n",
        "    )\n",
        "\n",
        "\n",
        "    self.classifier = nn.Sequential(\n",
        "      nn.Flatten(),\n",
        "      nn.Dropout(0.5),\n",
        "      nn.Linear(in_features= 40 * 28 * 28, out_features=output_shape),\n",
        "    )\n",
        "\n",
        "\n",
        "\n",
        "  def forward(self, x):\n",
        "    x = self.conv_block_1(x)\n",
        "    x = self.conv_block_2(x)\n",
        "    x = self.conv_block_3(x)\n",
        "    x = self.classifier(x)\n",
        "    return x"
      ],
      "metadata": {
        "id": "gd1V0Pyt4pL2"
      },
      "execution_count": 51,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "model = DateCNNModel(input_shape = 3,# RGB Channels (Red , Blue , Green) or 1 if it's Black and White\n",
        "                     hidden_units = 10,# Hidden units in the layers (Hyper parameter can't be adjusted depending on the situation)\n",
        "                     output_shape = len(class_names)# Output of the model should be a class\n",
        "                     ).to(device) # Put the model in the appropriate device\n",
        "model"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "rZE76ueI6dor",
        "outputId": "18634558-394f-4dba-953a-3dfe24cc22f2"
      },
      "execution_count": 75,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "DateCNNModel(\n",
              "  (conv_block_1): Sequential(\n",
              "    (0): Conv2d(3, 10, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n",
              "    (1): BatchNorm2d(10, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "    (2): ReLU()\n",
              "    (3): Conv2d(10, 10, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n",
              "    (4): BatchNorm2d(10, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "    (5): ReLU()\n",
              "    (6): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)\n",
              "  )\n",
              "  (conv_block_2): Sequential(\n",
              "    (0): Conv2d(10, 20, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n",
              "    (1): BatchNorm2d(20, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "    (2): ReLU()\n",
              "    (3): Conv2d(20, 20, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n",
              "    (4): BatchNorm2d(20, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "    (5): ReLU()\n",
              "    (6): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)\n",
              "  )\n",
              "  (conv_block_3): Sequential(\n",
              "    (0): Conv2d(20, 40, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n",
              "    (1): BatchNorm2d(40, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "    (2): ReLU()\n",
              "    (3): Conv2d(40, 40, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n",
              "    (4): BatchNorm2d(40, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
              "    (5): ReLU()\n",
              "    (6): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)\n",
              "  )\n",
              "  (classifier): Sequential(\n",
              "    (0): Flatten(start_dim=1, end_dim=-1)\n",
              "    (1): Dropout(p=0.5, inplace=False)\n",
              "    (2): Linear(in_features=31360, out_features=9, bias=True)\n",
              "  )\n",
              ")"
            ]
          },
          "metadata": {},
          "execution_count": 75
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Print model summary\n",
        "try:\n",
        "  from torchinfo import summary\n",
        "except:\n",
        "  !pip install torchinfo\n",
        "  from torchinfo import summary"
      ],
      "metadata": {
        "id": "lBMtQgvj7BYE",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "e296b278-7f57-432c-9d48-4f32bdf86bf6"
      },
      "execution_count": 53,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting torchinfo\n",
            "  Downloading torchinfo-1.8.0-py3-none-any.whl (23 kB)\n",
            "Installing collected packages: torchinfo\n",
            "Successfully installed torchinfo-1.8.0\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "summary(model , input=(3 , 224 , 224))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Cc9zi29q7M3P",
        "outputId": "5accff61-629e-4f82-dee7-df2b1f8f97ca"
      },
      "execution_count": 54,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "=================================================================\n",
              "Layer (type:depth-idx)                   Param #\n",
              "=================================================================\n",
              "DateCNNModel                             --\n",
              "&#9500;&#9472;Sequential: 1-1                        --\n",
              "&#9474;    &#9492;&#9472;Conv2d: 2-1                       280\n",
              "&#9474;    &#9492;&#9472;BatchNorm2d: 2-2                  20\n",
              "&#9474;    &#9492;&#9472;ReLU: 2-3                         --\n",
              "&#9474;    &#9492;&#9472;Conv2d: 2-4                       910\n",
              "&#9474;    &#9492;&#9472;BatchNorm2d: 2-5                  20\n",
              "&#9474;    &#9492;&#9472;ReLU: 2-6                         --\n",
              "&#9474;    &#9492;&#9472;MaxPool2d: 2-7                    --\n",
              "&#9500;&#9472;Sequential: 1-2                        --\n",
              "&#9474;    &#9492;&#9472;Conv2d: 2-8                       1,820\n",
              "&#9474;    &#9492;&#9472;BatchNorm2d: 2-9                  40\n",
              "&#9474;    &#9492;&#9472;ReLU: 2-10                        --\n",
              "&#9474;    &#9492;&#9472;Conv2d: 2-11                      3,620\n",
              "&#9474;    &#9492;&#9472;BatchNorm2d: 2-12                 40\n",
              "&#9474;    &#9492;&#9472;ReLU: 2-13                        --\n",
              "&#9474;    &#9492;&#9472;MaxPool2d: 2-14                   --\n",
              "&#9500;&#9472;Sequential: 1-3                        --\n",
              "&#9474;    &#9492;&#9472;Conv2d: 2-15                      7,240\n",
              "&#9474;    &#9492;&#9472;BatchNorm2d: 2-16                 80\n",
              "&#9474;    &#9492;&#9472;ReLU: 2-17                        --\n",
              "&#9474;    &#9492;&#9472;Conv2d: 2-18                      14,440\n",
              "&#9474;    &#9492;&#9472;BatchNorm2d: 2-19                 80\n",
              "&#9474;    &#9492;&#9472;ReLU: 2-20                        --\n",
              "&#9474;    &#9492;&#9472;MaxPool2d: 2-21                   --\n",
              "&#9500;&#9472;Sequential: 1-4                        --\n",
              "&#9474;    &#9492;&#9472;Flatten: 2-22                     --\n",
              "&#9474;    &#9492;&#9472;Dropout: 2-23                     --\n",
              "&#9474;    &#9492;&#9472;Linear: 2-24                      282,249\n",
              "=================================================================\n",
              "Total params: 310,839\n",
              "Trainable params: 310,839\n",
              "Non-trainable params: 0\n",
              "================================================================="
            ]
          },
          "metadata": {},
          "execution_count": 54
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import requests\n",
        "from pathlib import Path\n",
        "\n",
        "if not Path(\"helper_function.py\").is_file():\n",
        "  request = requests.get('https://raw.githubusercontent.com/mrdbourke/pytorch-deep-learning/main/helper_functions.py')\n",
        "  with open('helper_functions.py' , 'wb') as f:\n",
        "    f.write(request.content)\n",
        "\n",
        "from helper_functions import accuracy_fn # This will help us for accuracy"
      ],
      "metadata": {
        "id": "ZhgnBgQu7xNv"
      },
      "execution_count": 55,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def train_step(model:nn.Module , train_data:torch.utils.data.DataLoader , loss_fn: nn.Module , optimizer: torch.optim.Optimizer, accuracy_fn  , device: int = device):\n",
        "  \"\"\"This function will do one training step\"\"\"\n",
        "  # Put the model in the training mode\n",
        "  model.train()\n",
        "\n",
        "  train_loss , train_acc = 0,0\n",
        "  # Iterate over each batch in train_data\n",
        "  for batch , (X,y) in enumerate(train_data):\n",
        "    # Put the batches in appropriate device\n",
        "    X,y = X.to(device) , y.to(device)\n",
        "\n",
        "    # Make prediction\n",
        "    y_logits = model(X)\n",
        "\n",
        "    # Calculate loss\n",
        "    loss = loss_fn(y_logits , y)\n",
        "    train_loss += loss\n",
        "    # Calculate accuracy\n",
        "    y_pred_labels = torch.argmax(torch.softmax(y_logits , dim = 1) , dim = 1) # transform the logit data into max number from the softmax\n",
        "    accuracy = accuracy_fn(y , y_pred_labels)\n",
        "    train_acc += accuracy\n",
        "\n",
        "    # Zero the gradients\n",
        "    optimizer.zero_grad()\n",
        "\n",
        "    # Backprobagation\n",
        "    loss.backward()\n",
        "\n",
        "    # Update gradients\n",
        "    optimizer.step()\n",
        "\n",
        "  # Average the train loss and accuracy\n",
        "  train_loss /= len(train_data)\n",
        "  train_acc /= len(train_data)\n",
        "\n",
        "  return train_loss , train_acc"
      ],
      "metadata": {
        "id": "vA1HFrPS8AcW"
      },
      "execution_count": 56,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def test_step(model:nn.Module , test_data:torch.utils.data.DataLoader , loss_fn: nn.Module , accuracy_fn  , device: int = device):\n",
        "\n",
        "  # Put the model in the evaluating mode\n",
        "  model.eval()\n",
        "  with torch.inference_mode():\n",
        "    test_loss , test_acc = 0,0\n",
        "    # Iterate over each batch in train_data\n",
        "    for batch , (X,y) in enumerate(test_data):\n",
        "      # Put the batches in appropriate device\n",
        "      X,y = X.to(device) , y.to(device)\n",
        "\n",
        "      # Make prediction\n",
        "      y_logits = model(X)\n",
        "\n",
        "      # Calculate loss\n",
        "      loss = loss_fn(y_logits , y)\n",
        "      test_loss += loss\n",
        "      # Calculate accuracy\n",
        "      y_pred_labels = torch.argmax(torch.softmax(y_logits , dim = 1) , dim = 1) # transform the logit data into max number from the softmax\n",
        "      accuracy = accuracy_fn(y , y_pred_labels)\n",
        "      test_acc += accuracy\n",
        "\n",
        "    # Average the train loss and accuracy\n",
        "    test_loss /= len(test_data)\n",
        "    test_acc /= len(test_data)\n",
        "\n",
        "    return test_loss , test_acc"
      ],
      "metadata": {
        "id": "U69Yds_o95a1"
      },
      "execution_count": 57,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Create a function to time our experiments\n",
        "from timeit import default_timer as timer\n",
        "from tqdm.auto import tqdm\n",
        "def train(model:nn.Module , train_data:torch.utils.data.DataLoader , eval_data : torch.utils.data.DataLoader, loss_fn: nn.Module , optimizer: torch.optim.Optimizer, accuracy_fn , epochs:int , device: int = device):\n",
        "  \"\"\"This function will train the model and evaluate it and return a dictionary of the results\"\"\"\n",
        "\n",
        "  # Initialize lists to store metrics\n",
        "  metrics = {\n",
        "      \"Model name\": model.__class__.__name__,\n",
        "      \"Train loss\": [],\n",
        "      \"Train accuracy\": [],\n",
        "      \"Test loss\": [],\n",
        "      \"Test accuracy\": [],\n",
        "      \"Training Time\": []\n",
        "  }\n",
        "\n",
        "  start_time = timer()\n",
        "\n",
        "  for epoch in tqdm(range(epochs)):\n",
        "    # Train\n",
        "    train_loss , train_acc = train_step(model = model , train_data = train_data , loss_fn = loss_fn , optimizer = optimizer , accuracy_fn = accuracy_fn , device = device)\n",
        "    print(f\"Epoch: {epoch}\\nTrain loss: {train_loss:.4f}  Train accuracy {train_acc:.2f}\")\n",
        "\n",
        "\n",
        "    # Evaluate\n",
        "    test_loss , test_acc = test_step(model = model , test_data = eval_data , loss_fn = loss_fn  , accuracy_fn = accuracy_fn , device = device)\n",
        "    # Append metrics for this epoch\n",
        "    metrics[\"Train loss\"].append(train_loss.item())\n",
        "    metrics[\"Train accuracy\"].append(train_acc)\n",
        "    metrics[\"Test loss\"].append(test_loss.item())\n",
        "    metrics[\"Test accuracy\"].append(test_acc)\n",
        "\n",
        "  end_time = timer()\n",
        "\n",
        "  return metrics , {\"Model name\": model.__class__.__name__ ,\n",
        "          \"Train loss\": train_loss.item() ,\n",
        "          \"Train accuracy\": train_acc,\n",
        "          \"Test loss\": test_loss.item(),\n",
        "          \"Test accuracy\": test_acc,\n",
        "          \"Training Time\": end_time - start_time}\n"
      ],
      "metadata": {
        "id": "y9VA0Oid-QSZ"
      },
      "execution_count": 60,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "loss_fn = nn.CrossEntropyLoss()\n",
        "optimizer = torch.optim.Adam(params =model.parameters() , lr = 0.0001)\n",
        "\n",
        "metrics, results = train(model = model , train_data = train_dataloader , eval_data = test_dataloader , loss_fn = loss_fn , optimizer = optimizer , accuracy_fn = accuracy_fn , epochs = 50 , device = device)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000,
          "referenced_widgets": [
            "237523ffbc7340909720fd936b77f2b9",
            "54195ccec8ef4202874a989d5ce3b900",
            "881dcb1f2e2248fbb24a512c98b99a76",
            "cb465eb4c9dc4f7f8ef5b09c832a0cb4",
            "99b9435766024a8595481d043f24c45a",
            "254f8cd9ce8c488a85426de2e5115bb1",
            "baad68ab94744094b946f430c2015f8d",
            "db2d60d7fb2c4f77a9d775f4eb7ed5ba",
            "9ebaf008664542b1a0e520c78d0db100",
            "5170d455c08f44c0a172e774dda2ad73",
            "273c3cb7c8024f49a750e25f4eccc983"
          ]
        },
        "id": "RCuABYTx_SiT",
        "outputId": "c2dd6a5b-e267-45a4-b002-8453d696fc77"
      },
      "execution_count": 76,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/50 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "237523ffbc7340909720fd936b77f2b9"
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          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Epoch: 0\n",
            "Train loss: 1.6881  Train accuracy 41.53\n",
            "Epoch: 1\n",
            "Train loss: 0.8893  Train accuracy 67.85\n",
            "Epoch: 2\n",
            "Train loss: 0.5566  Train accuracy 82.32\n",
            "Epoch: 3\n",
            "Train loss: 0.4354  Train accuracy 85.53\n",
            "Epoch: 4\n",
            "Train loss: 0.3454  Train accuracy 90.38\n",
            "Epoch: 5\n",
            "Train loss: 0.3339  Train accuracy 88.65\n",
            "Epoch: 6\n",
            "Train loss: 0.2920  Train accuracy 91.20\n",
            "Epoch: 7\n",
            "Train loss: 0.2644  Train accuracy 90.05\n",
            "Epoch: 8\n",
            "Train loss: 0.2613  Train accuracy 91.53\n",
            "Epoch: 9\n",
            "Train loss: 0.2671  Train accuracy 90.62\n",
            "Epoch: 10\n",
            "Train loss: 0.1934  Train accuracy 93.09\n",
            "Epoch: 11\n",
            "Train loss: 0.1699  Train accuracy 94.57\n",
            "Epoch: 12\n",
            "Train loss: 0.1493  Train accuracy 95.81\n",
            "Epoch: 13\n",
            "Train loss: 0.1526  Train accuracy 95.81\n",
            "Epoch: 14\n",
            "Train loss: 0.1315  Train accuracy 96.38\n",
            "Epoch: 15\n",
            "Train loss: 0.1208  Train accuracy 96.88\n",
            "Epoch: 16\n",
            "Train loss: 0.1679  Train accuracy 94.57\n",
            "Epoch: 17\n",
            "Train loss: 0.1668  Train accuracy 94.57\n",
            "Epoch: 18\n",
            "Train loss: 0.1042  Train accuracy 97.20\n",
            "Epoch: 19\n",
            "Train loss: 0.0870  Train accuracy 97.37\n",
            "Epoch: 20\n",
            "Train loss: 0.0808  Train accuracy 98.36\n",
            "Epoch: 21\n",
            "Train loss: 0.0943  Train accuracy 97.62\n",
            "Epoch: 22\n",
            "Train loss: 0.1300  Train accuracy 96.22\n",
            "Epoch: 23\n",
            "Train loss: 0.1589  Train accuracy 94.08\n",
            "Epoch: 24\n",
            "Train loss: 0.0802  Train accuracy 97.70\n",
            "Epoch: 25\n",
            "Train loss: 0.0727  Train accuracy 98.11\n",
            "Epoch: 26\n",
            "Train loss: 0.0675  Train accuracy 98.52\n",
            "Epoch: 27\n",
            "Train loss: 0.0906  Train accuracy 96.96\n",
            "Epoch: 28\n",
            "Train loss: 0.1098  Train accuracy 95.56\n",
            "Epoch: 29\n",
            "Train loss: 0.0994  Train accuracy 97.37\n",
            "Epoch: 30\n",
            "Train loss: 0.0649  Train accuracy 98.52\n",
            "Epoch: 31\n",
            "Train loss: 0.0473  Train accuracy 98.93\n",
            "Epoch: 32\n",
            "Train loss: 0.0448  Train accuracy 99.01\n",
            "Epoch: 33\n",
            "Train loss: 0.0445  Train accuracy 98.93\n",
            "Epoch: 34\n",
            "Train loss: 0.0352  Train accuracy 99.75\n",
            "Epoch: 35\n",
            "Train loss: 0.0540  Train accuracy 98.27\n",
            "Epoch: 36\n",
            "Train loss: 0.0987  Train accuracy 96.88\n",
            "Epoch: 37\n",
            "Train loss: 0.0552  Train accuracy 98.11\n",
            "Epoch: 38\n",
            "Train loss: 0.0443  Train accuracy 98.85\n",
            "Epoch: 39\n",
            "Train loss: 0.0498  Train accuracy 99.01\n",
            "Epoch: 40\n",
            "Train loss: 0.0322  Train accuracy 99.59\n",
            "Epoch: 41\n",
            "Train loss: 0.0295  Train accuracy 99.34\n",
            "Epoch: 42\n",
            "Train loss: 0.0226  Train accuracy 99.59\n",
            "Epoch: 43\n",
            "Train loss: 0.0279  Train accuracy 99.51\n",
            "Epoch: 44\n",
            "Train loss: 0.0192  Train accuracy 99.75\n",
            "Epoch: 45\n",
            "Train loss: 0.0736  Train accuracy 97.12\n",
            "Epoch: 46\n",
            "Train loss: 0.0712  Train accuracy 97.53\n",
            "Epoch: 47\n",
            "Train loss: 0.0667  Train accuracy 98.19\n",
            "Epoch: 48\n",
            "Train loss: 0.0976  Train accuracy 97.62\n",
            "Epoch: 49\n",
            "Train loss: 0.0377  Train accuracy 98.93\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "results"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "RobyHH1yGcNw",
        "outputId": "191bc50e-e55a-4b55-a7eb-7b3a62ce390b"
      },
      "execution_count": 77,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'Model name': 'DateCNNModel',\n",
              " 'Train loss': 0.03766491264104843,\n",
              " 'Train accuracy': 98.93092105263158,\n",
              " 'Test loss': 0.19901463389396667,\n",
              " 'Test accuracy': 93.7644675925926,\n",
              " 'Training Time': 332.3896037059999}"
            ]
          },
          "metadata": {},
          "execution_count": 77
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Plot for accuracy\n",
        "plt.figure(figsize=(10, 5))\n",
        "plt.plot(metrics[\"Train accuracy\"], label='Train Accuracy')\n",
        "plt.plot(metrics[\"Test accuracy\"], label='Test Accuracy')\n",
        "plt.xlabel('Epochs')\n",
        "plt.ylabel('Accuracy')\n",
        "plt.title('Training and Testing Accuracy over Epochs')\n",
        "plt.legend()\n",
        "plt.show()\n",
        "\n",
        "# Plot for loss\n",
        "plt.figure(figsize=(10, 5))\n",
        "plt.plot(metrics[\"Train loss\"], label='Train Loss')\n",
        "plt.plot(metrics[\"Test loss\"], label='Test Loss')\n",
        "plt.xlabel('Epochs')\n",
        "plt.ylabel('Loss')\n",
        "plt.title('Training and Testing Loss over Epochs')\n",
        "plt.legend()\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 957
        },
        "id": "AqbF283xDa-D",
        "outputId": "f88b49ca-1b5c-4b12-8b06-f40f8f7c9090"
      },
      "execution_count": 78,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.metrics import confusion_matrix, classification_report\n",
        "\n",
        "model.eval()\n",
        "\n",
        "# Collect all predictions and true labels\n",
        "all_preds = []\n",
        "all_labels = []\n",
        "with torch.inference_mode():\n",
        "    for images, labels in test_dataloader:\n",
        "        images = images.to(device)\n",
        "        labels = labels.to(device)\n",
        "        outputs = model(images)\n",
        "        _, predicted = torch.max(outputs.data, 1)\n",
        "        all_preds.extend(predicted.cpu().numpy())\n",
        "        all_labels.extend(labels.cpu().numpy())\n",
        "\n",
        "# Compute confusion matrix\n",
        "conf_matrix = confusion_matrix(all_labels, all_preds)\n",
        "classes = test_data.classes\n",
        "\n",
        "# Plot confusion matrix\n",
        "plt.figure(figsize=(10, 7))\n",
        "plt.imshow(conf_matrix, interpolation='nearest', cmap=plt.cm.Blues)\n",
        "plt.title('Confusion Matrix')\n",
        "plt.colorbar()\n",
        "tick_marks = np.arange(len(classes))\n",
        "plt.xticks(tick_marks, classes, rotation=45)\n",
        "plt.yticks(tick_marks, classes)\n",
        "thresh = conf_matrix.max() / 2.\n",
        "for i, j in np.ndindex(conf_matrix.shape):\n",
        "    plt.text(j, i, format(conf_matrix[i, j], 'd'),\n",
        "             horizontalalignment=\"center\",\n",
        "             color=\"white\" if conf_matrix[i, j] > thresh else \"black\")\n",
        "plt.ylabel('True label')\n",
        "plt.xlabel('Predicted label')\n",
        "plt.tight_layout()\n",
        "plt.show()\n",
        "\n",
        "# Print classification report\n",
        "print(classification_report(all_labels, all_preds, target_names=classes))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "rOo4vnhd9Wae",
        "outputId": "0b6d78ce-24f0-4f00-b85c-7794f2e98a4f"
      },
      "execution_count": 100,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n",
            "  self.pid = os.fork()\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x700 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "              precision    recall  f1-score   support\n",
            "\n",
            "        Ajwa       1.00      1.00      1.00        53\n",
            "      Galaxy       0.95      0.93      0.94        57\n",
            "     Mejdool       0.95      0.95      0.95        41\n",
            "     Meneifi       0.84      0.94      0.89        70\n",
            "   NabtatAli       0.93      0.94      0.94        54\n",
            "       Rutab       0.95      0.80      0.86        44\n",
            "     Shaishe       0.93      0.96      0.94        52\n",
            "      Sokari       0.97      0.94      0.96        80\n",
            "      Sugaey       0.90      0.88      0.89        51\n",
            "\n",
            "    accuracy                           0.93       502\n",
            "   macro avg       0.93      0.93      0.93       502\n",
            "weighted avg       0.93      0.93      0.93       502\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Saving the model"
      ],
      "metadata": {
        "id": "Gs8-oBUiKOAh"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "MODEL_PATH = Path(\"model\")\n",
        "MODEL_PATH.mkdir(parents = True , exist_ok = True)\n",
        "\n",
        "MODEL_NAME = \"cnn_date_fruit_classifier.pth\"\n",
        "SAVE_MODEL_PATH = MODEL_PATH / MODEL_NAME\n",
        "\n",
        "torch.save(obj = model.state_dict() , f = SAVE_MODEL_PATH)"
      ],
      "metadata": {
        "id": "SOJJLxNmFSY6"
      },
      "execution_count": 101,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "mdNUJaVYCYI7"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}