{ "cells": [ { "cell_type": "markdown", "id": "28b87c1a-b92d-42d4-96f7-2ea1ad570435", "metadata": {}, "source": [ "## Train Network Basics\n", "\n", "## How to use the dataset class\n", "\n", "Loading a dataset requires the data to be in the correct format (see Prepare data tutorial). Just create the dataset object and use the load method:" ] }, { "cell_type": "code", "execution_count": 1, "id": "7900d693-e52e-44ec-8de9-e42bafb214de", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "03/20/2025 10:48:42 PM Logging subjects and targets from /home/arthur/nvme/eventclf/downsampled_500...\n" ] } ], "source": [ "import logging\n", "logging.basicConfig(\n", " level=logging.INFO,\n", " format=\"%(asctime)s %(message)s\",\n", " datefmt=\"%m/%d/%Y %I:%M:%S %p\",\n", ")\n", "\n", "\n", "from meegnet.dataloaders import EpochedDataset\n", "\n", "sfreq = 500 # sampling frequency of 500 Hz\n", "n_samples = 100 # only load 100 subjects for demonstration purposes\n", "n_subjects = 100 # limit the number of samples for each subject to 100 this is automatically stratified (balanced classes)\n", "sensortype = \"Grad\" # only use gradiometers\n", "\n", "# change to your data path:\n", "data_path = f\"/home/arthur/nvme/eventclf/downsampled_{sfreq}\"\n", "\n", "# use Dataset class for data that has already been cut into trials\n", "# else, use RestDataset with additional parameters of window and overlap to create trials.\n", "\n", "dataset = EpochedDataset(\n", " sfreq=sfreq, \n", " n_subjects=n_subjects,\n", " n_samples=n_samples,\n", " sensortype=sensortype,\n", " lso=True, # use leave subject out for data splits\n", ")\n", "\n", "dataset.load(data_path)" ] }, { "cell_type": "markdown", "id": "315df099-6a5f-41cd-b928-e35fa6a85545", "metadata": {}, "source": [ "## How to use the network class\n", "\n", "Create the model object instance of the Model class and then use the train method with the dataset previously created." ] }, { "cell_type": "code", "execution_count": 2, "id": "1998d5d8-0457-4cc6-9f9e-b1dc535a34eb", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/home/arthur/.pyvenv/meegnet/lib/python3.12/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", " from .autonotebook import tqdm as notebook_tqdm\n", "03/20/2025 10:49:37 PM Creating DataLoaders...\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "MEEGNet(\n", " (feature_extraction): Sequential(\n", " (0): Conv2d(3, 100, kernel_size=(102, 1), stride=(1, 1))\n", " (1): ReLU()\n", " (2): Conv2d(100, 200, kernel_size=(1, 9), stride=(1, 1))\n", " (3): MaxPool2d(kernel_size=(1, 20), stride=1, padding=0, dilation=1, ceil_mode=False)\n", " (4): ReLU()\n", " (5): Conv2d(200, 200, kernel_size=(1, 9), stride=(1, 1))\n", " (6): MaxPool2d(kernel_size=(1, 20), stride=1, padding=0, dilation=1, ceil_mode=False)\n", " (7): ReLU()\n", " (8): Conv2d(200, 100, kernel_size=(1, 9), stride=(1, 1))\n", " (9): MaxPool2d(kernel_size=(1, 20), stride=1, padding=0, dilation=1, ceil_mode=False)\n", " (10): ReLU()\n", " (11): Flatten()\n", " (12): Dropout(p=0.5, inplace=False)\n", " )\n", " (classif): Sequential(\n", " (0): Linear(in_features=31900, out_features=1000, bias=True)\n", " (1): Linear(in_features=1000, out_features=2, bias=True)\n", " )\n", ")\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "03/20/2025 10:49:38 PM Starting Training with:\n", "03/20/2025 10:49:38 PM Batch size: 128\n", "03/20/2025 10:49:38 PM Learning rate: 1e-05\n", "03/20/2025 10:49:38 PM Patience: 10\n", "03/20/2025 10:49:38 PM Maximum Epoch: 15\n" ] } ], "source": [ "from meegnet.network import Model\n", "\n", "save_path = data_path\n", "net_option = \"meegnet\"\n", "input_size = dataset.data[0].shape\n", "n_outputs = 2 # Here we have 2 possible outputs, binary classification task.\n", "name = \"eventclf_meegnet\"\n", "\n", "net_params = {\"linear\": 100, \"hlayers\": 3, \"dropout\": .5}\n", "my_model = Model(name, net_option, input_size, n_outputs, save_path, net_params=net_params)\n", "\n", "print(my_model.net)\n", "\n", "my_model.train(dataset, max_epoch=15, verbose=1)" ] }, { "cell_type": "markdown", "id": "e49cc2c9-b48b-454d-bc82-8c76935074a1", "metadata": {}, "source": [ "We can print the train and validation loss of the network during training, as well as the training and validation accuracy during training.\n", "\n", "This is helpful to check that the network learns correctly and that early stop is well implemented: stopping before overfitting." ] }, { "cell_type": "code", "execution_count": 3, "id": "adf70f24-8a92-4d11-854d-9cf27129960b", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "my_model.plot_loss()\n", "my_model.plot_accuracy();" ] }, { "cell_type": "markdown", "id": "d11f1c48-6031-42ed-a13c-1490e698ef1c", "metadata": {}, "source": [ "In our example, you can see from the figures that the max_epoch parameter we set limits our training capabilities, but we can also see that the model is learning correctly, but stopped before it could reach an optimum.\n", "\n", "In order to correct that, we can increase the max_epoch parameter or set it to None (by default) and continue training." ] }, { "cell_type": "code", "execution_count": 4, "id": "ad84d205-05a7-45a4-a50d-8f05b5443444", "metadata": { "scrolled": true }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "03/20/2025 10:53:49 PM Creating DataLoaders...\n", "03/20/2025 10:53:51 PM Starting Training with:\n", "03/20/2025 10:53:51 PM Batch size: 128\n", "03/20/2025 10:53:51 PM Learning rate: 1e-05\n", "03/20/2025 10:53:51 PM Patience: 10\n" ] } ], "source": [ "my_model.train(dataset, continue_training=True, verbose=1)" ] }, { "cell_type": "code", "execution_count": 5, "id": "d6aec327-741d-4a81-9070-2265090d2776", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "my_model.plot_loss()\n", "my_model.plot_accuracy();" ] }, { "cell_type": "markdown", "id": "fbb9e205-915a-4167-8bc7-37904b878745", "metadata": {}, "source": [ "Now we have a better picture of the training process, and we can see that we stopped early, 10 epochs after the best epoch (23).\n", "\n", "All training progress can be accessed through the tracker object inside the Model:" ] }, { "cell_type": "code", "execution_count": 6, "id": "f76161c4-9311-41b3-8192-1dd2ea5648a7", "metadata": { "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Content of tracker.progress dictionary:\n", "train_losses, \n", "train_accuracies, \n", "validation_losses, \n", "validation_accuracies, \n", "\n", "Content of tracker.best dictionary:\n", "train_loss, 0.10161866992712021\n", "train_accuracy, 0.9622499942779541\n", "validation_loss, 0.2580738961696625\n", "validation_accuracy, 0.9039999842643738\n", "epoch, 22\n" ] } ], "source": [ "print(\"Content of tracker.progress dictionary:\")\n", "for key, value in my_model.tracker.progress.items():\n", " print(f\"{key}, {type(value)}\")\n", "\n", "print(\"\\nContent of tracker.best dictionary:\")\n", "for key, value in my_model.tracker.best.items():\n", " print(f\"{key}, {value}\")" ] }, { "cell_type": "markdown", "id": "e5c27810-b90f-4e60-a3eb-5c44bcf8bbaa", "metadata": {}, "source": [ "Note that here best epoch is 22 because of how python indexes. The best epoch is the 23th one, which is indexed at 22." ] } ], "metadata": { "kernelspec": { "display_name": "meegnet", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.12.9" } }, "nbformat": 4, "nbformat_minor": 5 }