{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "pdcMxVGEA9Cd"
},
"source": [
"# **Fine-tuning for Image Classification with 🤗 Optimum Graphcore**\n",
"\n",
"This notebook shows how to fine-tune any pretrained Vision model for Image Classification on an IPU. The idea is to add a randomly initialized classification head on top of a pre-trained encoder, and fine-tune the model altogether on a labeled dataset.\n",
"\n",
"## ImageFolder\n",
"\n",
"This notebook leverages the [ImageFolder](https://huggingface.co/docs/datasets/v2.0.0/en/image_process#imagefolder) feature to easily run the notebook on a custom dataset (namely, [EuroSAT](https://github.com/phelber/EuroSAT) in this tutorial). You can either load a `Dataset` from local folders or from local/remote files, like zip or tar.\n",
"\n",
"## Any model\n",
"\n",
"This notebook is built to run on any image classification dataset with any vision model checkpoint from the [Model Hub](https://huggingface.co/) as long as that model has a version with a Image Classification head and is supported by [🤗 Optimum Graphcore](https://github.com/huggingface/optimum-graphcore). The IPU config files of the supported models are available in Graphcore's [Hugging Face account](https://huggingface.co/Graphcore). You can also create your own IPU config file locally. \n",
"Currently supported models:\n",
"* [ViT](https://huggingface.co/docs/transformers/model_doc/vit#transformers.ViTForImageClassification)\n",
"* [ConvNeXT](https://huggingface.co/docs/transformers/master/en/model_doc/convnext#transformers.ConvNextForImageClassification)\n",
"\n",
"---\n",
"\n",
"In this notebook, we are using both data parallelism and pipeline parallelism (see this [tutorial](https://github.com/graphcore/examples/tree/master/tutorials/tutorials/pytorch/efficient_data_loading) for more). Therefore the global batch size, which is the actual number of samples used for the weight update, is determined with three factors:\n",
"- global batch size = micro batch size * gradient accumulation steps * replication factor\n",
"\n",
"and replication factor is determined by `pod_type`, which will be used as a key to select the replication factor from a dictionary defined in the IPU config file. For example, the dictionary in the IPU config file [Graphcore/roberta-base-ipu](https://huggingface.co/Graphcore/roberta-base-ipu/blob/main/ipu_config.json) looks like this:\n",
"- \"replication_factor\": {\"pod4\": 1, \"pod8\": 2, \"pod16\": 4, \"pod32\": 8, \"pod64\": 16, \"default\": 1}\n",
"\n",
"Depending on you model and the pod machine you are using, you might need to adjust these three batch-size-related arguments.\n",
"\n",
"In this notebook, we'll fine-tune from the [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) checkpoint, but note that there are many more available on the [hub](https://huggingface.co/models?other=vision).\n"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"execution": {
"iopub.execute_input": "2023-06-21T21:42:56.324166Z",
"iopub.status.busy": "2023-06-21T21:42:56.323923Z",
"iopub.status.idle": "2023-06-21T21:42:56.327242Z",
"shell.execute_reply": "2023-06-21T21:42:56.326624Z",
"shell.execute_reply.started": "2023-06-21T21:42:56.324147Z"
},
"id": "5WMEawzyCEyG"
},
"outputs": [],
"source": [
"model_checkpoint = \"facebook/dino-vitb16\" # pre-trained model from which to fine-tune\n",
"\n",
"ipu_config_name = \"Graphcore/vit-base-ipu\" # config specific to the IPU\n",
"micro_batch_size = 1 # micro batch size for training and evaluation\n",
"gradient_accumulation_steps = 32"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Values for machine size and cache directories can be configured through environment variables or directly in the notebook:"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"execution": {
"iopub.execute_input": "2023-06-21T21:43:04.407323Z",
"iopub.status.busy": "2023-06-21T21:43:04.407084Z",
"iopub.status.idle": "2023-06-21T21:43:04.411027Z",
"shell.execute_reply": "2023-06-21T21:43:04.410205Z",
"shell.execute_reply.started": "2023-06-21T21:43:04.407303Z"
}
},
"outputs": [],
"source": [
"import os\n",
"\n",
"pod_type = os.getenv(\"GRAPHCORE_POD_TYPE\", \"pod4\")\n",
"executable_cache_dir = os.getenv(\"POPLAR_EXECUTABLE_CACHE_DIR\", \"/tmp/exe_cache/\") + \"/image_classification\"\n",
"dataset_dir = os.getenv(\"DATASETS_DIR\", \"./\")"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "NlArTG8KChJf"
},
"source": [
"First of all, make sure your environment has installed the latest version of [🤗 Optimum Graphcore](https://github.com/huggingface/optimum-graphcore) and any packages we will need."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\n",
"In order to improve usability and support for future users, Graphcore would like to collect information about the\n",
"applications and code being run in this notebook. The following information will be anonymised before being sent to Graphcore:\n",
"\n",
"- User progression through the notebook\n",
"- Notebook details: number of cells, code being run and the output of the cells\n",
"- Environment details\n",
"\n",
"You can disable logging at any time by running `%unload_ext gc_logger` from any cell.\n"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"execution": {
"iopub.execute_input": "2023-06-21T21:43:08.202242Z",
"iopub.status.busy": "2023-06-21T21:43:08.202000Z",
"iopub.status.idle": "2023-06-21T21:44:37.490120Z",
"shell.execute_reply": "2023-06-21T21:44:37.489336Z",
"shell.execute_reply.started": "2023-06-21T21:43:08.202223Z"
},
"id": "L1532RVbJgQV",
"outputId": "1d92a15b-0efd-4b09-b006-56384c64943b"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\n",
"\u001b[0mNote: you may need to restart the kernel to use updated packages.\n",
"Collecting examples-utils[common]@ git+https://github.com/graphcore/examples-utils@latest_stable\n",
" Cloning https://github.com/graphcore/examples-utils (to revision latest_stable) to /tmp/pip-install-a926yjkj/examples-utils_a82a79d52fff4e08a47c0e0e1ece1ac6\n",
" Running command git clone --filter=blob:none --quiet https://github.com/graphcore/examples-utils /tmp/pip-install-a926yjkj/examples-utils_a82a79d52fff4e08a47c0e0e1ece1ac6\n",
" Running command git checkout -q 40c62e6646db8f9d60d1707a61204c95a15c7ccb\n",
" Resolved https://github.com/graphcore/examples-utils to commit 40c62e6646db8f9d60d1707a61204c95a15c7ccb\n",
" Preparing metadata (setup.py) ... \u001b[?25ldone\n",
"\u001b[?25hRequirement already satisfied: awscli>=1.24.10 in /usr/local/lib/python3.8/dist-packages (from examples-utils[common]@ git+https://github.com/graphcore/examples-utils@latest_stable) (1.27.143)\n",
"Collecting boto3>=1.26 (from examples-utils[common]@ git+https://github.com/graphcore/examples-utils@latest_stable)\n",
" Downloading boto3-1.26.158-py3-none-any.whl (135 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m135.9/135.9 kB\u001b[0m \u001b[31m5.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting cppimport>=22.07.17 (from examples-utils[common]@ git+https://github.com/graphcore/examples-utils@latest_stable)\n",
" Downloading cppimport-22.8.2.tar.gz (26 kB)\n",
" Installing build dependencies ... \u001b[?25ldone\n",
"\u001b[?25h Getting requirements to build wheel ... \u001b[?25ldone\n",
"\u001b[?25h Preparing metadata (pyproject.toml) ... \u001b[?25ldone\n",
"\u001b[?25hRequirement already satisfied: filelock>=3.9.0 in /usr/local/lib/python3.8/dist-packages (from examples-utils[common]@ git+https://github.com/graphcore/examples-utils@latest_stable) (3.12.2)\n",
"Collecting gitpython>=3.1 (from examples-utils[common]@ git+https://github.com/graphcore/examples-utils@latest_stable)\n",
" Downloading GitPython-3.1.31-py3-none-any.whl (184 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m184.3/184.3 kB\u001b[0m \u001b[31m24.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting ipynbname>=2021.3.2 (from examples-utils[common]@ git+https://github.com/graphcore/examples-utils@latest_stable)\n",
" Downloading ipynbname-2023.1.0.0-py3-none-any.whl (4.3 kB)\n",
"Requirement already satisfied: nbformat>=5.7.3 in /usr/local/lib/python3.8/dist-packages (from examples-utils[common]@ git+https://github.com/graphcore/examples-utils@latest_stable) (5.9.0)\n",
"Requirement already satisfied: psutil>=5.7.0 in /usr/local/lib/python3.8/dist-packages (from examples-utils[common]@ git+https://github.com/graphcore/examples-utils@latest_stable) (5.9.5)\n",
"Requirement already satisfied: pyyaml>=5.4.1 in /usr/local/lib/python3.8/dist-packages (from examples-utils[common]@ git+https://github.com/graphcore/examples-utils@latest_stable) (5.4.1)\n",
"Collecting simple-parsing==0.0.19.post1 (from examples-utils[common]@ git+https://github.com/graphcore/examples-utils@latest_stable)\n",
" Downloading simple_parsing-0.0.19.post1-py3-none-any.whl (79 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m79.9/79.9 kB\u001b[0m \u001b[31m25.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting typing-inspect (from simple-parsing==0.0.19.post1->examples-utils[common]@ git+https://github.com/graphcore/examples-utils@latest_stable)\n",
" Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB)\n",
"Requirement already satisfied: botocore==1.29.143 in /usr/local/lib/python3.8/dist-packages (from awscli>=1.24.10->examples-utils[common]@ git+https://github.com/graphcore/examples-utils@latest_stable) (1.29.143)\n",
"Requirement already satisfied: docutils<0.17,>=0.10 in /usr/local/lib/python3.8/dist-packages (from awscli>=1.24.10->examples-utils[common]@ git+https://github.com/graphcore/examples-utils@latest_stable) (0.16)\n",
"Requirement already satisfied: s3transfer<0.7.0,>=0.6.0 in /usr/local/lib/python3.8/dist-packages (from awscli>=1.24.10->examples-utils[common]@ git+https://github.com/graphcore/examples-utils@latest_stable) (0.6.1)\n",
"Requirement already satisfied: colorama<0.4.5,>=0.2.5 in /usr/local/lib/python3.8/dist-packages (from awscli>=1.24.10->examples-utils[common]@ git+https://github.com/graphcore/examples-utils@latest_stable) (0.4.4)\n",
"Requirement already satisfied: rsa<4.8,>=3.1.2 in /usr/local/lib/python3.8/dist-packages (from awscli>=1.24.10->examples-utils[common]@ git+https://github.com/graphcore/examples-utils@latest_stable) (4.7.2)\n",
"Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /usr/local/lib/python3.8/dist-packages (from botocore==1.29.143->awscli>=1.24.10->examples-utils[common]@ git+https://github.com/graphcore/examples-utils@latest_stable) (1.0.1)\n",
"Requirement already satisfied: python-dateutil<3.0.0,>=2.1 in /usr/local/lib/python3.8/dist-packages (from botocore==1.29.143->awscli>=1.24.10->examples-utils[common]@ git+https://github.com/graphcore/examples-utils@latest_stable) (2.8.2)\n",
"Requirement already satisfied: urllib3<1.27,>=1.25.4 in /usr/lib/python3/dist-packages (from botocore==1.29.143->awscli>=1.24.10->examples-utils[common]@ git+https://github.com/graphcore/examples-utils@latest_stable) (1.25.8)\n",
"INFO: pip is looking at multiple versions of boto3 to determine which version is compatible with other requirements. This could take a while.\n",
"Collecting boto3>=1.26 (from examples-utils[common]@ git+https://github.com/graphcore/examples-utils@latest_stable)\n",
" Downloading boto3-1.26.157-py3-none-any.whl (135 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m135.9/135.9 kB\u001b[0m \u001b[31m33.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading boto3-1.26.156-py3-none-any.whl (135 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m135.6/135.6 kB\u001b[0m \u001b[31m33.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading boto3-1.26.155-py3-none-any.whl (135 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m135.6/135.6 kB\u001b[0m \u001b[31m30.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading boto3-1.26.154-py3-none-any.whl (135 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m135.6/135.6 kB\u001b[0m \u001b[31m34.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading boto3-1.26.153-py3-none-any.whl (135 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m135.6/135.6 kB\u001b[0m \u001b[31m33.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading boto3-1.26.152-py3-none-any.whl (135 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m135.6/135.6 kB\u001b[0m \u001b[31m27.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading boto3-1.26.151-py3-none-any.whl (135 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m135.6/135.6 kB\u001b[0m \u001b[31m32.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hINFO: pip is looking at multiple versions of boto3 to determine which version is compatible with other requirements. This could take a while.\n",
" Downloading boto3-1.26.150-py3-none-any.whl (135 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m135.6/135.6 kB\u001b[0m \u001b[31m35.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading boto3-1.26.149-py3-none-any.whl (135 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m135.6/135.6 kB\u001b[0m \u001b[31m34.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading boto3-1.26.148-py3-none-any.whl (135 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m135.6/135.6 kB\u001b[0m \u001b[31m32.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading boto3-1.26.147-py3-none-any.whl (135 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m135.6/135.6 kB\u001b[0m \u001b[31m33.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading boto3-1.26.146-py3-none-any.whl (135 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m135.6/135.6 kB\u001b[0m \u001b[31m35.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hINFO: This is taking longer than usual. You might need to provide the dependency resolver with stricter constraints to reduce runtime. See https://pip.pypa.io/warnings/backtracking for guidance. If you want to abort this run, press Ctrl + C.\n",
" Downloading boto3-1.26.145-py3-none-any.whl (135 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m135.6/135.6 kB\u001b[0m \u001b[31m36.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading boto3-1.26.144-py3-none-any.whl (135 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m135.6/135.6 kB\u001b[0m \u001b[31m35.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Downloading boto3-1.26.143-py3-none-any.whl (135 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m135.6/135.6 kB\u001b[0m \u001b[31m31.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting mako (from cppimport>=22.07.17->examples-utils[common]@ git+https://github.com/graphcore/examples-utils@latest_stable)\n",
" Downloading Mako-1.2.4-py3-none-any.whl (78 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m78.7/78.7 kB\u001b[0m \u001b[31m23.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting pybind11 (from cppimport>=22.07.17->examples-utils[common]@ git+https://github.com/graphcore/examples-utils@latest_stable)\n",
" Downloading pybind11-2.10.4-py3-none-any.whl (222 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m222.3/222.3 kB\u001b[0m \u001b[31m53.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCollecting gitdb<5,>=4.0.1 (from gitpython>=3.1->examples-utils[common]@ git+https://github.com/graphcore/examples-utils@latest_stable)\n",
" Downloading gitdb-4.0.10-py3-none-any.whl (62 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m62.7/62.7 kB\u001b[0m \u001b[31m11.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: ipykernel in /usr/local/lib/python3.8/dist-packages (from ipynbname>=2021.3.2->examples-utils[common]@ git+https://github.com/graphcore/examples-utils@latest_stable) (5.5.6)\n",
"Requirement already satisfied: fastjsonschema in /usr/local/lib/python3.8/dist-packages (from nbformat>=5.7.3->examples-utils[common]@ git+https://github.com/graphcore/examples-utils@latest_stable) (2.17.1)\n",
"Requirement already satisfied: jsonschema>=2.6 in /usr/local/lib/python3.8/dist-packages (from nbformat>=5.7.3->examples-utils[common]@ git+https://github.com/graphcore/examples-utils@latest_stable) (4.17.3)\n",
"Requirement already satisfied: jupyter-core in /usr/local/lib/python3.8/dist-packages (from nbformat>=5.7.3->examples-utils[common]@ git+https://github.com/graphcore/examples-utils@latest_stable) (5.3.0)\n",
"Requirement already satisfied: traitlets>=5.1 in /usr/local/lib/python3.8/dist-packages (from nbformat>=5.7.3->examples-utils[common]@ git+https://github.com/graphcore/examples-utils@latest_stable) (5.9.0)\n",
"Collecting smmap<6,>=3.0.1 (from gitdb<5,>=4.0.1->gitpython>=3.1->examples-utils[common]@ git+https://github.com/graphcore/examples-utils@latest_stable)\n",
" Downloading smmap-5.0.0-py3-none-any.whl (24 kB)\n",
"Requirement already satisfied: attrs>=17.4.0 in /usr/local/lib/python3.8/dist-packages (from jsonschema>=2.6->nbformat>=5.7.3->examples-utils[common]@ git+https://github.com/graphcore/examples-utils@latest_stable) (23.1.0)\n",
"Requirement already satisfied: importlib-resources>=1.4.0 in /usr/local/lib/python3.8/dist-packages (from jsonschema>=2.6->nbformat>=5.7.3->examples-utils[common]@ git+https://github.com/graphcore/examples-utils@latest_stable) (5.12.0)\n",
"Requirement already satisfied: pkgutil-resolve-name>=1.3.10 in /usr/local/lib/python3.8/dist-packages (from jsonschema>=2.6->nbformat>=5.7.3->examples-utils[common]@ git+https://github.com/graphcore/examples-utils@latest_stable) (1.3.10)\n",
"Requirement already satisfied: pyrsistent!=0.17.0,!=0.17.1,!=0.17.2,>=0.14.0 in /usr/local/lib/python3.8/dist-packages (from jsonschema>=2.6->nbformat>=5.7.3->examples-utils[common]@ git+https://github.com/graphcore/examples-utils@latest_stable) (0.19.3)\n",
"Requirement already satisfied: pyasn1>=0.1.3 in /usr/local/lib/python3.8/dist-packages (from rsa<4.8,>=3.1.2->awscli>=1.24.10->examples-utils[common]@ git+https://github.com/graphcore/examples-utils@latest_stable) (0.5.0)\n",
"Requirement already satisfied: ipython-genutils in /usr/local/lib/python3.8/dist-packages (from ipykernel->ipynbname>=2021.3.2->examples-utils[common]@ git+https://github.com/graphcore/examples-utils@latest_stable) (0.2.0)\n",
"Requirement already satisfied: ipython>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from ipykernel->ipynbname>=2021.3.2->examples-utils[common]@ git+https://github.com/graphcore/examples-utils@latest_stable) (7.16.3)\n",
"Requirement already satisfied: jupyter-client in /usr/local/lib/python3.8/dist-packages (from ipykernel->ipynbname>=2021.3.2->examples-utils[common]@ git+https://github.com/graphcore/examples-utils@latest_stable) (8.2.0)\n",
"Requirement already satisfied: tornado>=4.2 in /usr/local/lib/python3.8/dist-packages (from ipykernel->ipynbname>=2021.3.2->examples-utils[common]@ git+https://github.com/graphcore/examples-utils@latest_stable) (6.3.2)\n",
"Requirement already satisfied: platformdirs>=2.5 in /usr/local/lib/python3.8/dist-packages (from jupyter-core->nbformat>=5.7.3->examples-utils[common]@ git+https://github.com/graphcore/examples-utils@latest_stable) (3.5.1)\n",
"Requirement already satisfied: MarkupSafe>=0.9.2 in /usr/local/lib/python3.8/dist-packages (from mako->cppimport>=22.07.17->examples-utils[common]@ git+https://github.com/graphcore/examples-utils@latest_stable) (2.1.2)\n",
"Collecting mypy-extensions>=0.3.0 (from typing-inspect->simple-parsing==0.0.19.post1->examples-utils[common]@ git+https://github.com/graphcore/examples-utils@latest_stable)\n",
" Downloading mypy_extensions-1.0.0-py3-none-any.whl (4.7 kB)\n",
"Requirement already satisfied: typing-extensions>=3.7.4 in /usr/local/lib/python3.8/dist-packages (from typing-inspect->simple-parsing==0.0.19.post1->examples-utils[common]@ git+https://github.com/graphcore/examples-utils@latest_stable) (4.6.2)\n",
"Requirement already satisfied: zipp>=3.1.0 in /usr/local/lib/python3.8/dist-packages (from importlib-resources>=1.4.0->jsonschema>=2.6->nbformat>=5.7.3->examples-utils[common]@ git+https://github.com/graphcore/examples-utils@latest_stable) (3.15.0)\n",
"Requirement already satisfied: setuptools>=18.5 in /usr/local/lib/python3.8/dist-packages (from ipython>=5.0.0->ipykernel->ipynbname>=2021.3.2->examples-utils[common]@ git+https://github.com/graphcore/examples-utils@latest_stable) (67.8.0)\n",
"Requirement already satisfied: jedi<=0.17.2,>=0.10 in /usr/local/lib/python3.8/dist-packages (from ipython>=5.0.0->ipykernel->ipynbname>=2021.3.2->examples-utils[common]@ git+https://github.com/graphcore/examples-utils@latest_stable) (0.17.2)\n",
"Requirement already satisfied: decorator in /usr/local/lib/python3.8/dist-packages (from ipython>=5.0.0->ipykernel->ipynbname>=2021.3.2->examples-utils[common]@ git+https://github.com/graphcore/examples-utils@latest_stable) (5.1.1)\n",
"Requirement already satisfied: pickleshare in /usr/local/lib/python3.8/dist-packages (from ipython>=5.0.0->ipykernel->ipynbname>=2021.3.2->examples-utils[common]@ git+https://github.com/graphcore/examples-utils@latest_stable) (0.7.5)\n",
"Requirement already satisfied: prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0 in /usr/local/lib/python3.8/dist-packages (from ipython>=5.0.0->ipykernel->ipynbname>=2021.3.2->examples-utils[common]@ git+https://github.com/graphcore/examples-utils@latest_stable) (3.0.38)\n",
"Requirement already satisfied: pygments in /usr/local/lib/python3.8/dist-packages (from ipython>=5.0.0->ipykernel->ipynbname>=2021.3.2->examples-utils[common]@ git+https://github.com/graphcore/examples-utils@latest_stable) (2.15.1)\n",
"Requirement already satisfied: backcall in /usr/local/lib/python3.8/dist-packages (from ipython>=5.0.0->ipykernel->ipynbname>=2021.3.2->examples-utils[common]@ git+https://github.com/graphcore/examples-utils@latest_stable) (0.2.0)\n",
"Requirement already satisfied: pexpect in /usr/local/lib/python3.8/dist-packages (from ipython>=5.0.0->ipykernel->ipynbname>=2021.3.2->examples-utils[common]@ git+https://github.com/graphcore/examples-utils@latest_stable) (4.8.0)\n",
"Requirement already satisfied: six>=1.5 in /usr/lib/python3/dist-packages (from python-dateutil<3.0.0,>=2.1->botocore==1.29.143->awscli>=1.24.10->examples-utils[common]@ git+https://github.com/graphcore/examples-utils@latest_stable) (1.14.0)\n",
"Requirement already satisfied: importlib-metadata>=4.8.3 in /usr/local/lib/python3.8/dist-packages (from jupyter-client->ipykernel->ipynbname>=2021.3.2->examples-utils[common]@ git+https://github.com/graphcore/examples-utils@latest_stable) (6.6.0)\n",
"Requirement already satisfied: pyzmq>=23.0 in /usr/local/lib/python3.8/dist-packages (from jupyter-client->ipykernel->ipynbname>=2021.3.2->examples-utils[common]@ git+https://github.com/graphcore/examples-utils@latest_stable) (25.1.0)\n",
"Requirement already satisfied: parso<0.8.0,>=0.7.0 in /usr/local/lib/python3.8/dist-packages (from jedi<=0.17.2,>=0.10->ipython>=5.0.0->ipykernel->ipynbname>=2021.3.2->examples-utils[common]@ git+https://github.com/graphcore/examples-utils@latest_stable) (0.7.1)\n",
"Requirement already satisfied: wcwidth in /usr/local/lib/python3.8/dist-packages (from prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0->ipython>=5.0.0->ipykernel->ipynbname>=2021.3.2->examples-utils[common]@ git+https://github.com/graphcore/examples-utils@latest_stable) (0.2.6)\n",
"Requirement already satisfied: ptyprocess>=0.5 in /usr/local/lib/python3.8/dist-packages (from pexpect->ipython>=5.0.0->ipykernel->ipynbname>=2021.3.2->examples-utils[common]@ git+https://github.com/graphcore/examples-utils@latest_stable) (0.7.0)\n",
"Building wheels for collected packages: cppimport, examples-utils\n",
" Building wheel for cppimport (pyproject.toml) ... \u001b[?25ldone\n",
"\u001b[?25h Created wheel for cppimport: filename=cppimport-22.8.2-py3-none-any.whl size=17499 sha256=9a686bdcf202f0cd615f5344f1ec24a1bbd07c7bc90fe92ef042eaeca162492f\n",
" Stored in directory: /root/.cache/pip/wheels/6e/d2/91/94b56e3d502b51c6fb096384d6257632cde02f9a9df23f20c1\n",
" Building wheel for examples-utils (setup.py) ... \u001b[?25ldone\n",
"\u001b[?25h Created wheel for examples-utils: filename=examples_utils-0.1.0-py3-none-any.whl size=75817 sha256=c87a47bb56f4cf9cb7c33ae4f520ebde76868b9a5165776a27a6b60b52c27959\n",
" Stored in directory: /tmp/pip-ephem-wheel-cache-e77qgaub/wheels/7b/ef/40/036b06152d165a6d3c2ade41a7f53c22e31a76a515dba9b89b\n",
"Successfully built cppimport examples-utils\n",
"Installing collected packages: smmap, pybind11, mypy-extensions, mako, typing-inspect, gitdb, cppimport, simple-parsing, gitpython, ipynbname, boto3, examples-utils\n",
"Successfully installed boto3-1.26.143 cppimport-22.8.2 examples-utils-0.1.0 gitdb-4.0.10 gitpython-3.1.31 ipynbname-2023.1.0.0 mako-1.2.4 mypy-extensions-1.0.0 pybind11-2.10.4 simple-parsing-0.0.19.post1 smmap-5.0.0 typing-inspect-0.9.0\n",
"\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\n",
"\u001b[0mNote: you may need to restart the kernel to use updated packages.\n",
"Loading extensions from ~/.ipython/extensions is deprecated. We recommend managing extensions like any other Python packages, in site-packages.\n"
]
}
],
"source": [
"%pip install -q \"optimum-graphcore==0.6.1\" scikit-learn torchvision==0.14.1+cpu -f https://download.pytorch.org/whl/torch_stable.html\n",
"%pip install examples-utils[common]@git+https://github.com/graphcore/examples-utils@latest_stable\n",
"from examples_utils import notebook_logging\n",
"%load_ext gc_logger"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "snZ1tmaOC412"
},
"source": [
"If you're opening this notebook locally, make sure your environment has an install from the last version of those libraries.\n",
"\n",
"To be able to share your model with the community and generate results like the one shown in the picture below via the inference API, there are a few more steps to follow.\n",
"\n",
"First you have to store your authentication token from the Hugging Face website (sign up [here](https://huggingface.co/join) if you haven't already!) then execute the following cell and input your token:"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 386,
"referenced_widgets": [
"f1760b8ccf9b4c32977a1e83f3a3af3d",
"e276e653c187474dba7e1c4fede10b79",
"a6d024d44a6c49eebef7966ef5a836f1",
"344c041a34b5458eb1bbb3ea8fa5b315",
"18f7dc9f5e6241138534b7cf9aa30adb",
"d5e3a1de2a4645639c029a404d04dc1c",
"e7e938eb6baf486e829ea5d4734087cf",
"730378e114f944908aa06f42bb2faa3d",
"f73b5464140d4723b1b3f46796d9b1ca",
"16ffe85c44764fa9ad8a31fb21e6432f",
"40db3808e98d424cacc5d0fed54b9eaa",
"e9bad1a707f0442da6f117fdd2804f72",
"a0bac01e342b4793b66d7d4f5bfac2e2",
"b447ca05136342d0a167bfb133a353bd",
"4dcbcf9b086f452d9d1bc07b4a4cc1d3",
"724b578bac3f4b7cb6806ee3c45aff01",
"6ca86c47e547426e8a0d4487a786c46c"
]
},
"execution": {
"iopub.execute_input": "2023-06-21T21:44:37.492165Z",
"iopub.status.busy": "2023-06-21T21:44:37.491744Z",
"iopub.status.idle": "2023-06-21T21:44:37.717449Z",
"shell.execute_reply": "2023-06-21T21:44:37.716929Z",
"shell.execute_reply.started": "2023-06-21T21:44:37.492146Z"
},
"id": "Bkpk_JPlCww8",
"outputId": "d80cb8c7-5382-427b-e90b-bfec7afdc052"
},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "aa278fd06d734ba184bb23865fe22631",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"VBox(children=(HTML(value=' \n"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "mcE455KaG687"
},
"source": [
"### Loading the dataset"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "RD_G2KJgG_bU"
},
"source": [
"We will use the [🤗 Datasets](https://github.com/huggingface/datasets) library's [ImageFolder](https://huggingface.co/docs/datasets/v2.0.0/en/image_process#imagefolder) feature to download our custom dataset into a DatasetDict.\n",
"\n",
"In this case, the EuroSAT dataset is hosted remotely, so we provide the `data_files` argument. Alternatively, if you have local folders with images, you can load them using the `data_dir` argument. "
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 250,
"referenced_widgets": [
"65ee9c937e37404593bbd78489040d82",
"5d2d1f1d210449b895820a81089f6c0b",
"6126aa9e8dd343aa9233ac1f2150121b",
"c096392e55374751b33105be96d37934",
"aba0dcd1eef34146a52c90eb5c3e211c",
"db5bdd6de3e74610b61b044c23700daa",
"eec1d3b8ea07492d9a4fb06bce7404d2",
"d089ec92b52b4b90b7ade4a2b6d7ced4",
"706b3ef455424cd5b0f2629d58b5aaa6",
"b274626ba7bb4917843c2505e2e642d8",
"c869a350dd09430cb3599a1b764abf7c",
"7344011c60a44af49dfb435e217ba205",
"a9a3933138f04b628d9ec9e0a1b3531b",
"07a8dfd811d54c1eaaf8d30df4a15e02",
"ac6e0d722fbf4cb98e1beae1d768461d",
"73be6beffebe4986b26fd275a549983a",
"9824e85405d64dbd8d1c28466cbd5ce2",
"a18df3c4ad3d436ca9bb05e7e3700142",
"4cbb9fa91c7b480e8152248e339da888",
"4122b532a6674fdebc76dbf4bf064e4d",
"e046e82af8894041bf83190eda1fdd27",
"2953a9b8d7224f249d8fbe6b1eea0043",
"2c017c8365c7417f80040637f0576456",
"bad41d5acc1741e0a3954363802efb95",
"d497d019f02048ed8d8996a7dc024086",
"cf7f56acd6a84ab0bbd669ffc68049f1",
"711229887a3c44308d99a36b0cfe383c",
"9a6de936af954c528cad23494762d985",
"6146998af3154b7d9317375018b0b35c",
"3423d126316b4895b8350cad294e9ed5",
"b47ec013328e427e91d645219ee0b4f3",
"b1f48ef2e4774d3991109a3537ce6f95",
"2daba079b8ab4a6bb5c9d4e975954913",
"b5e61543921d41c1a0fd0bdd32042c30",
"6be6e59a99cc4a7a9519f56274eab245",
"c31e69612cc949569d72927dc8556167",
"84731a7392f34547a8702ce8dae4ffde",
"a4cdb122648b434fbc97a70c8ecd2797",
"1ae00749a1db45f3a9df07d54ba7b9a2",
"e3f9fa06f3254786babef77b69edf5e1",
"c9578be641994795aebba19c76e18c7c",
"dbc2646034c14ff798611f6a43ecfcb5",
"0789ac7948dc47af88cbd4306376fa2a",
"33ff92cb74cd45a0b04744e6a0aaa202",
"78de59096c0c4f4088248d49d8e945c7",
"0ef55f103c7049ffb072be07cbdc3c55",
"d3cc200a473f4d05b003159452dc4694",
"f558d858617649a683a8249dd93cfb15",
"ec72f31db8fd4c209f081e20d43d9f01",
"0eed61f5a8244ad0b7b02fdf2f0bc445",
"07aba02933d5483c9db8d523957c26da",
"2e436c1f1346463fbb4bd4365b91ebb8",
"337cdba2a3a542229a2bfaa42cc9dbe4",
"8da2a3d279654ff68534ac1ec0e4c94c",
"62f3666095fd4f299875d99365fc6d3e",
"f8204cbc9e33434e8dae692826092def",
"89c3832e2105480bbc80c97683f8a9c6",
"9bb0bb71bd3c4218be04f6e0dba884ab",
"5466f882ca23480ab8d25a93d938c650",
"eaa2e37efec944549715e9f5f12527b0",
"4aed4abfe24d492ab793be6a5742c01e",
"1ed8401e795b4efda2d6ce57b72aeafb",
"150f5046c3224c0d9eff3f8c851b146f",
"8a3c971f5628488c83a8cc3685f39e6b",
"76bc21ca1ac541a29751df47a6b66eb6",
"c48f86ba50054f70922cb6b86fc041c0"
]
},
"execution": {
"iopub.execute_input": "2023-06-21T21:45:27.784968Z",
"iopub.status.busy": "2023-06-21T21:45:27.784720Z",
"iopub.status.idle": "2023-06-21T21:45:45.523469Z",
"shell.execute_reply": "2023-06-21T21:45:45.522715Z",
"shell.execute_reply.started": "2023-06-21T21:45:27.784948Z"
},
"id": "Mp9xJcHP2TTP",
"outputId": "c672111a-f1c1-4891-e60c-941bbd7751db"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Downloading and preparing dataset imagefolder/default to /tmp/huggingface_caches/datasets/imagefolder/default-5ef882a072e3a08e/0.0.0/37fbb85cc714a338bea574ac6c7d0b5be5aff46c1862c1989b20e0771199e93f...\n"
]
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "9c3aa56bf16e43c8a83f390c95e1d605",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"Downloading data files: 0it [00:00, ?it/s]"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "f978cf674ba34a33a57f3962fbc9da99",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"Downloading data files: 0%| | 0/1 [00:00:3: FutureWarning: load_metric is deprecated and will be removed in the next major version of datasets. Use 'evaluate.load' instead, from the new library 🤗 Evaluate: https://huggingface.co/docs/evaluate\n",
" metric = load_metric(\"accuracy\")\n"
]
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "1448fa763e564d86acb516f2adfd6030",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"Downloading builder script: 0%| | 0.00/1.65k [00:00,\n",
" 'label': 0}"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"example = dataset[\"train\"][10]\n",
"example"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "9g0APa21I_Rx"
},
"source": [
"Each example consists of an image and a corresponding label. We can also verify this by checking the features of the dataset:"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"execution": {
"iopub.execute_input": "2023-06-21T21:46:07.953055Z",
"iopub.status.busy": "2023-06-21T21:46:07.952811Z",
"iopub.status.idle": "2023-06-21T21:46:07.958901Z",
"shell.execute_reply": "2023-06-21T21:46:07.958166Z",
"shell.execute_reply.started": "2023-06-21T21:46:07.953037Z"
},
"id": "BnnL3yHBI7Z3",
"outputId": "8d21d2df-af8b-41e1-b70f-a50a132c3415"
},
"outputs": [
{
"data": {
"text/plain": [
"{'image': Image(decode=True, id=None),\n",
" 'label': ClassLabel(names=['AnnualCrop', 'Forest', 'HerbaceousVegetation', 'Highway', 'Industrial', 'Pasture', 'PermanentCrop', 'Residential', 'River', 'SeaLake'], id=None)}"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"dataset[\"train\"].features"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "SZ7rLOsAkJ8F"
},
"source": [
"The cool thing is that we can directly view the image (as the 'image' field is an [Image feature](https://huggingface.co/docs/datasets/package_reference/main_classes.html#datasets.Image)), as follows:"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 81
},
"execution": {
"iopub.execute_input": "2023-06-21T21:46:10.755151Z",
"iopub.status.busy": "2023-06-21T21:46:10.754903Z",
"iopub.status.idle": "2023-06-21T21:46:10.760124Z",
"shell.execute_reply": "2023-06-21T21:46:10.759429Z",
"shell.execute_reply.started": "2023-06-21T21:46:10.755131Z"
},
"id": "32iolZyTkNlI",
"outputId": "270751de-fab9-4759-d500-a5d5a62c8d0e"
},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
""
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"example['image']"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "y1TqooRukQf3"
},
"source": [
"Let's make it a little bigger as the images in the EuroSAT dataset are of low resolution (64x64 pixels):"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 217
},
"execution": {
"iopub.execute_input": "2023-06-21T21:46:23.311178Z",
"iopub.status.busy": "2023-06-21T21:46:23.310940Z",
"iopub.status.idle": "2023-06-21T21:46:23.326316Z",
"shell.execute_reply": "2023-06-21T21:46:23.325724Z",
"shell.execute_reply.started": "2023-06-21T21:46:23.311158Z"
},
"id": "QdO2VFHRkYfT",
"outputId": "3e06af1c-62aa-4699-db3f-6e7654397afb"
},
"outputs": [
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAIAAAAiOjnJAABckUlEQVR4nO29WYIjua4lCNCUtezqTfRe64bLiNMfmElKLo/Ie/NVv8eMdJebzEgQxHAADsb/7//zv6kWEIMZREQAEYGImImZ9AMR243g+ly5wa/Yc0xE0EIAICT+iFWnzTUqmBBP6aNexhj2oN6UNWnrSjQknmEmJiVWv2NhEv2D4Pd7twpV3Dr4qtj9zP4gGMY++A3sdXk3AO1fu8jRLDODCBABBAIxDjCPwSNYupECjlq8Hh5aqfePST+O0h4H73gZCmYMhtPOQa99UBpcEhrPxie8+5/yP+Wn5b+5YG1K/9+k7aV8Zpu/K6h9euxu6PAEirVGfPp7Cj6ojJmDhuoC+LsnkT/cG0A7AeKTN/msrF6S092x44f3rhRwxn8yAB9SFZVTuMP8En4PCAxCoAfmXbDM82pljn1etst5e7D08TMB+fdo2R/W+n0XUi8CLvywhj8u6J+rdv+9rePF59eXPq/vkzutNwfBetdh/FsGodL+G9Uz22McaH7hRuuy3tnaiTCl37XUwuV+xIVE5Y5o/16ZUbSNpDIq30Oe6lnyDh80sNdXHim/mAhnO3t44hW1futj73ypufaC65e7/wLCJGbwGOwGKDu9DaqPu3OQiEgI1ONBLh84wxnyEMiqKD0HSg+Y4Vx9Cyn0yx6Jvi3WJNQMsgtWCaDZ2XKqMSncv+UQAyYQsfdnURS4tw8pB0BMDIL5OVgIbSFlYRMog7oXJGRHO+HFAziZMSYvXGHRRSUZ8WSp94NS1evlE0hGxbAuql/IIk7S2GPpZL9/hTpeGkvHQHOwYRefGP79qzBTNZWx3oukcq25PsLEpK1XGlATOlRYMmiAVDsjixE0FRkpJAAlT0Qw2zBo1IFVtMnwCt36G4uqFX8z9EXHi8U6lGRN1rYKVu/Tm7IkP/4dxVX2ezTfShnFEhB0Bn6M76tp3ZU/MUTohOvQdu9CJNHRxL6KDZb6wj+zf6ixj1NwslRRGa925pNSBCsobdYpXEzXw+JvSC1aKRHA5Q93Le/ly3XXkqkv7ilDZAk6t+YEQP1pU33N4BUzk9qyhXf1r0Ee8tiz5orYHmSKmK5gLBNz5nNXETEkM1mueB2zgBThuHhw5iPXKn3kV4zFiGwtuQvAiSiHKwFGGMJEw61WqC2VPlWJRx9lOlqs8DRM7PYx+Jc+qAC+owQAjWHp2yJRG6NYbEQO4ImuqCt7Cu+QVVTcyG5doe4BWASqU+JdtmHEbrqYV8N27v9L+K9SxcyjGrO9ikjrE7NBrKa1WlljFxOBQ5w26Q6QFujG66zOjx1yjRF6KwWG5f0bya8F61jCSOiDo3g4esXaPy0/s73/1coiV8zkUk3UYOVHhd1tBOopkWlgaIaOv3SH8lkRSaNiv0eIExHjSOyrHhTBQrMxleBdu9MMqpyhK3Uk/zhuC6PHtFGYBiMZoR9tIAJO2+8gOZ1/4MvFtxGfLEJxKq7amtlcbZlZptRpJccnF6NpLr0PU7cJTwAXETAbeKlBRetmjQNCsYtxDVhS5xxbRF4wjNOJtJZRgUA8XopBUpvtHQ0ZXoWhxobExXieLNYhKl6xZ51Vlc1qJbwp08QKe5i4qOyOFiJt4C2WW+rdrc1RvPdBhUBNZHsIZ3ofvhTqqbky3ujqXggBtqJp65LeJQETkx3leSEmMCvKaNLM1GjdOLTUWdre+r7JtIKFSNZoU+oXHdgWTFExAWfwyM7SSgS7JbILn7rC/3g5y8ffVTbTF3mOl0kulbSCUj9upV9RA9hr/ozohZ63Df1GQdEKUxqXVnU8w75Kqxbf7lPOjxXGmrQGRKPlW+8QgsUl+4nqkfxSOJ2tpWDOd6OUnrfeX4KgdAvLU2RMKkh8u6F9XEVG5SkjZrB3ulusCAZdacOHVvNYk5bBF2mZpGp1V5FLT1hrbVa9DVxzbQsXXTkkRIrJw3uwfssEDGEabD6bKLO02RwPcVsYDayC1UvihEzrcaUKkGBoYUkmLiJnVz1ft+MnJ1VSH/WZfrHYjUwuFLFwlqeJB2JtkTfDKzE+4llPWWvl67qyaXbfhRXNWKrfx6yj+WBVJEyIDCVwpDKYDga0IdSSS1C37l7auZ6hXwhrqHlJAJn/JwKDHWzpt0DgEu2G4yhkzClmszjH6I9c4Tkp8m8rC4t/r+nfJvgkgoRzqOSPNGebFzeSisn3xl7d/F0Jcd8aXu4rmcWO1nplnC5yxw9ZXPbi+ce+HKW4wldsK/C+xh1psYpNONewk9YbqKGRV5kIVL+oec7e6WO9wMHEsTPWoWilV+1M+vUiAZSjUj1fcXBmAFqCNXhf/w9ThoANw6YG3XQRWeyzCV411Sh+IRZ7xkxsjGUanIWm7DoKZRSUiVh3y4gHN5xIr+IgWMGfE8ZM+w0npiQ6pZJuxvMwyPZt91rJL4cqhE7GolcculZUJSEEFRlyj4iaCrS7ymdSPzQaTTqgTBCApPOE64MLSlD2ACpbUp/yyG5N4XoQWcJPdhztwLXMixJrrJY8Yo/Rzfcihp7NVcPhTdBoQhuKxRBiEgLAsbRcxdbu5sJ2J92GM2X/hWBtjr1/eGWGqu1fvziVTWJOTcY9620fRFPvHR/aLS+rcySCarGSrA0ydhoP89xLDdzxV7t7073a8KJq+yzYMh7Yfh4pP/apUnh05wuRj09AR00k+qVqWN9UgVc8P+axyuzkaoHKDERYp0PNZieIiCAmCM1trA/uZnOtLHMQSp2ageXmo36Goxo8TDI5TIkZFE7JWkuwSFvk4q0HmsMAMeBZTkJy0fteLf+r0YoMVmPSdjfK/WHxrJvltrpsJmexdwcWfEssgdVhdqcCd4XqfLgQFIBFH0tGBDtgkWvxhwUeNpoLCWVyl3QBrm5vEf+WOsNbOiosflxwH6M5aG41JFte6VXMOqjsCFGGYW4A49u9deoXTLaMN9WF29riHI9KfZ18q10zD9+S99FfGHp46RAERMRgsBDZom+40FidRbA4BGvBHdF4oQ8Jlwtnuf6GK+WRuHeG0vJGLt4vVKcYHocdRbDCCkiq1Peuk7bRrRbrDTVHA+w1MJUB/sAXlWp77QVdxbIFRsC7VFE3Z9aDVaqOrR7Q4wuSXBBULxG2qlbwiKUR7Pguk1yciDJ+Sqbg0syufot8Y2LOavx4Vc9RuKl6tOMzaq3KLCejsbLiqmJ/6vyGNVtGMyp4p8fvOuJdr4vtNxgTNFDlbdBT/y7rYRw0k8vYbtDTdGZt4YxbAx/hIoje66M7bHGqyZxbrJH67XpPHEuR1DZmPRrfpLYpxaszVGMNEh8fdmeYswQLX5Nv7JNZlZNNnooqHjruv8xrMEMjfptU7Swce3I71v9CzBPqeDNr1Otj91Lz41daVGXJoAEyCBgsM0YwEcCDiJLMPc9cZCF3z6S/xGAGg9mWiYIwrBEelu630RcQ2DOcxUUl9RuTbZ46dC6TqAwiEhamSGs8LFtPxC76MT3Zw/J01VhbLBFw4a4JpT/la7v2oVjF6315O1VAVYGjdl6lIBWhBAmtWlh8HUroicIk43tSa32U6kR83vN1gst+qTrOFYhRyoO4Z3BXAYkx9YQ+BUR7HXYdr6cAmHSlEBZLbFePc4XVJme13ZK3kShivkr8idYGL14OEE5c/K2yCBYX+drlAyr8KCaz2k5T0dwPtFrrvWQO6HN6z/d3lnAnQI3eQlX+raB8p7I6yTLltd54EPf1arvyqFA3V2Qs95k3U6s2QslN/uATaL2pg2WrdpvChRZ7V8MUdkOZY3cevJ4xgFfkYpMLn9x6VcOVPM02fAwccMeEurkNTXvalYPT6EieuVzwuWuqbPcb47dP5lc7YDBhi4dc0lDvZIVBHs0CGELgDOpb/ZFd3bM8h+F0dyZJZu29/S4WayGYAl2VJ6JaWu/0KhYZPkhp0hiGeROZMO97OPOiuAY0a+gfS+xNROESdnIpLJZJGFEgkDQCoEgdRD66GN/VVYVXDWAQt24x5/ddTYe2lzr53GgRApPwWTX5HbrYsrvJTGcQnwDOw8d4IfBlKUx+6aCTmCIz0VCzL7XSrZ4PKNm+d8qaUvf6u3bYAy8aqk9+5M5Qevq2wsIW83DYHdAn5dtn0H8sJnKxfj9ssRrfVh5LmGfGXj9vnCxPt+Ri0l++3hIodlNJB6NcbN0sW5pXbFbU3W9rDsPz0GpxPBzV/LTdXhgrpU77mLUxoecHAsW4e6tkhc1ENMNRj16wZChKD+FOn5xZx3HyrK9Tr/2sgtJHG8GZ0D8NoBA9qRoAt1qbD2wX0L/JtWe7HX3ILj44dKwQrS0c3Uiv5pSW7in4pNx/BtI5VB7JAuXBcFo34tMM6BgdLJaXQdEf5PPl3qpzAekLHKk9tJp20n3MmN3v+KxOGa+Cwl9xv47e0amFzuayvoJ0AuGhPZMWrEtHkwPw2rGKr7AL1jtM9NNS4Pybu1YI8vbG9+nyt07no9Lh099cYpbij7haylGw3hLPkbzqhJ2f4/ZrubiI3FLDMtNYVjfUWnm5/9WfvQcJ6waLxEIRrs9VmasWqxcU2sOGrR2MBF2pJO5xr5P6ilgxkl6C2TfbHFcGlEfJ8eILGYkVpJV1aB/SfSrd6/bK4l7dJ1ZTkjQvTTdljhY8cxUOqy/DakDGoQjMaKmxZ08wuZFeTF08C7hzsiicqVmszavSi4qitw335TwdRDDGQFm7Go8Cqz0rxjnuDkdxBhyvaDPHR8lS53nzyigLGBV7GW7bDSBXIf/INLKHkwAA0TFCgWeBA735SL4n6jpVG5Xb3ZEI7qq6alosLyuzOLkyzbhhMl2P7NpwG3OMeK7oSiENK2HPrEuT8Rn7lg7T66f+rb7mR8VAhzHgI4o+kySi/xod/LDs6BimbG6xlgnHnQ9d6rgJt+1wfezqIZwLa4r875UHuHNLUb/t8xPpDjmHYl8lspmLhXJTlDSVqesW1LhC15ymuZW67CEOGypAQIPM8LweZ4AYrs8+kx6UD8OtBxGEb+ixgJRrexyLU8IBRuPJUjf4XEOINbkegMAMSKUGgGESy6wq17eZAA9MhcCkc9kY3I5OGkTJwOCRxt6QoSuUMkI4CBaISHZD5ICAnDHJhSJE63qmtKk5YPDNHoid4GtzRWj9UrAjlwq1qad0g96NFngx8RjupsQHrjjmda2VO1IFQ2UCvZUESNTG3p99C9tdTVwwIk2xZSxTElahCABYXeAxhAo/a49wfsGeQ4OP2PAZe6ZANCPr91YUUgwMkelAzpzs7+/SacP+wc2ofxDRPkqflXjuRy67PBJQ9lMKjqC113kuw2Xr3+0o39Qf4hXG4tXNXV7X28RP8M5S1yYNZmmSfBasHcUuJdwwk0XTDRCW29Zq6lk7GQ+9bCr8ZygZHNsPaqkVVVyue3f8spsnZFvhFKuFbasOGiR+2Z3XRdEuOTSufSweRlF82w0VoCIIPesAN9pa5aUH4Z6wL8bzCy0x4JlYlLpANMqGkOGcKG5ijBFHQBC9tFhrVuLUr5LAhtO3xsm0ik5ApfJlfggdSJ42IJTNEZEAl9VpgqfLf7kwiMPso7SbLiphqn43fPpW92XCFWbtcXRnSSlUgzpGytOiOoZ2yH690q/0Vmn1Sgq+yn57rk4KwH/Dj+LaUyZNuXo6JxbQIzgc/GsT8GxZJrcy/+TZDUU1f8OtEVVJid+rzSw3N/l82eKfOepeVRmkv6O+/2jB4bOh3LBnbyxPClaz1fuc9v53ZvHdvKWCbqQdqlqAstURtXdiOOzySVFLS2qo1jgiIy8Gu5eiOi8YMUDzWEQcuyWpQOQFW1MBbZ2N/Gr7V1cm7hxGpMbNE4XGFMNvTq48V7aP9k680qMC9a1fXFxhHAyQlUOBIyDkmztqKyoWTET82IFOwj3PnusxQZ22kd12GJQRWbWmqx/b5WrPqit97Ll1BhH7Iu/AOQG2SpRjbl/9J5PmJtZcoFNdZItz5CLEZT3AjHUxd+YDF9p36eYKOuG7fEoPucIq18QAcDtYDSbWxsAlO4ICpNON5wPchrf1tA7cJgNVY7Obnn5hT2JUlujY/XOukE+fkz3v4R0R0aLFTaGJ8lIvnrLYibArqFf7fWU+yC/yuZWlzbPFekVCofXlB6v1ddvfeZxvSukpXmMyLPu5qo94HEdwXa/M2yxZFe0McALA1hTmagizjrcuEyhK35mbBsBDnvannTDYtXjxoZFKrJpWvgRyC383pyiUF3GOqRNuWvF+Pv5Y2POhLRjk9A45QVWM5I9Q4Svv3G9wz14zAFQI68Eqd1t7fIGAvxuFbQ/LYFoIhzdfB7aur6LwZ13FW5fSAC80IIxD+NJic2OqD9WIlLsg7EupmFN4ciWun2OQrpA81+oH8ak7QZIX+/j8h3mdmD/ztUkmWKIJRu6KXLjcu2zThtZ5jntsdP3cKu8nAiaQjXhJFp+EjKtkkktn7XtlJEicevLp/OBkPNmWDIUh0L9fnPPOXH+v5ooo+Vx+vdCZZi0/LnBMs1ZcbO4+M7G2Ekq2Su4rUIsyZkv5NPkSs0roQvVpKdn8lGWXi0qXd7daUr//kxKG56Wvi+rYrUS5oes0aBGs6LmjDyaO3XavBautXAiz+aYX+3dFj5u7fCEJYWP8no7SXraNBgWsFQ99ApEifqcf/CEuOTeuZtftTiH4df0VftVzGOojAdwXyTXDtmqXNt+rf6nouTA03LpqSqTQdCwiEA41LzXmClLvPEaaPqvsZLH0LAVzVg2JugJVhYqQp2Z2lN/xxlQiIkpyzA/E/SG+JRVZokk/eyjjr5BCPaROPaBVYNOnVJaUoPy2abIwBZtavUuJJQHarKD7/1jUw/XuMt7BK78YjDM5ZRYSPXMbtY4DWvHnXT5sDQ98IXD1AN6MCVXsxrIVMxz7s3JXYo5JuEe7p1gst7tvD6krhVfi4//ue/fHDmwo+Z60WCmFdDjgpTTrks/9i3g6QcHSdHUsQe2fW6po7aUj5N1o7bJ6eC1P2hJm3upH+3Vq1BHTmTq2f2lZ+ndca6KjdvnvI8Y6Bg1oQ70R3O8t45ROjF5W4BnBVXj6gy5x1aGsnC/mulLjxHAxc92Xch/jz6eo3xQ3+sc2/qDagrrCYvEy0M0PUeFj+W+v+Wedrmxfv8uokEe4yrQOtgKkWMEFwbVJwGoa0jB2kOOfWsIucuvmH30NS0dB9nF4l87Qzp/kNUUPd888iCzg5Rh9O2rAg8ImZrvVbbrb2ofHyuxSzIPt4J9ArKXWjMgih1B3WSM7FZ/8OWul6F6RJtVU3bEKAoSZeRCj+bjWq+L+907XvI/2z0bNUMhaWcljhWkFAgBR8J4jZ200VPBdL59VPaHP8UsDD+sIpsViP4M44VqtNZ/geLK7wxZCMadAmFWxzvmund+I5vbCjuMwTt0uBK0X/cMqfQV77d6/8Ljg0Gq0hIgHgG71q8HBoo1xS5sPWMT9sIKsCVYnqbN2QVMIdar+/2Dqi8H5pnw/krz9uT/D2x/9hN4NZfmdBRb9HTK1UuKg6ZO6Tzik1uqC9e65zNnVG9xuFLq2amo+bKn/JQJl6n6Mjue8r2mvsL16os8Ie1jk1rNnDgyRS6a8SIxdl+Wilmeil0HpyKhQnZ1yMjJXzmQAQs8JYr/qdl1YjxBCqEyZSXsjDnEiUWNjE4PaL85JgyUmXEsgidZpru4qYYB3p95t94wBhwFes0jODujsqWcArAV7HNkkdXGsViYlPQEHURy8FvSca7FELDHZXH/VbHZ3GQ4luhepj5ryeDdOB9IpusmH77Dc5mfwu7sj8mvp6uMtAGHOMEhfHQgCxYK2RIGv6I26Dl2o1NUkS1Kx3p1PNXhSWsmsjfaqTgY0Ig71+siSurVIJ/kT8UEr97n6DU4UsbVq2Ya1YajjXOF5pQf6512CKwj6x8srGV3Kln3+e/zgf65kUNMHnOKiWoYjcDiXVVXKeQeH9ommWQtAILAVyuf1WDwGSTnTIZdatIkcuJQS02DQYOLxUsEDogeRTR0Xz54KtFqBEwpMp5cPs8dlpdaek/bXtaiP8gpCL+O8u7TNIX2J1XrLVZeLPflE17gS1y1xgmO2hJ5PEdRZrF2r24nA1sEFdVW7mfFZRgZcBHdxbiB1YACpQInIlKkZ4bRYHguzCA0iGRo+mLyfbav3zpsfxMLcjuYJGIV4osEhOknVRwPRi1aDKlvFaFXwVdTFvzqM6DGVdTKDpTK9J01fTOV8YixC/voMlDmsmuXp/Cud20bpRbpqKzUDUEdO06R27KS/7IK5QFGaYBFMkimQed9TRATHpck6RMNWsiekje+ObhL6Sgy2pXTRIcGLR/6nbEVZFnm6vN4TPQFqA6L/LcmRM0nekn4KfyUEAU1gAveUKXIL5pz3nFMFq+f6vAZfwouccTPPGAsvU7XtHHW4DchYCUS5Py2Muf+qZmIRv7DqKFVtUP10qO4CLJdqA46Dqi858PEwsZVeofu4RQpiuINoXu9ZGjC7VqZ+N1eYt4KIiQcPf/dbHoP0tpySQQjiOIaLQJoPZ+ah3LDZYz0eeBKBMUE35BZ5TnlOue3ffc851RUiU+HZnNYUcRQgvsuUAMvQq8cDCBju6aDeE8RDTZUFXZSTrn0ICrfSqNelvH122ADBNpOTKEAXq/jIIiDdkg3YRcq/qve5g9jCw3yUt35tF7aJqg5dWh9coV4CNys6QCAWAAKRAAEp80dosbpG7u4PFXCRrW6I/LgJAE3CDXyJPO/7a8rXPZ+3PG+5RV2hCdYKEkaOU/w46NwrHcFmjeLiz5HTf6+yqot/2lmtftAmzNQv+As4Pmzl8Cd71Uw02F+IbFqg7m+CnoKnzOeUf933131/3TMEa8q8p24uxKOcN5Qt2G7qOMKhTOcULQK9Ea+EmGq0DjenqYykSujb4vQO8eJxPodHS6iCzi6gE1n6xZXy/BZ1uM3agUA0xlIB+dtSk0Ic5i2JyqR+LPwt/GpdfZPAGUTCNt81IjFderbZ09J9u8FSkI6NWec3bcx5gFhAIjIhz4mvOb/m/HXPXy5Yz1tuwT0xIVP0hEg85py9YY6RhngajSyTWIAOymA7O94NIWXiMUyh6V05Vym4WwIVu7uEaR6eVBRlRrXET8iGotlSAapf4BhYT58A/gYGY0Ys1HZsZgAy/BbyDaTFyUf3d54UF24X0rov7OweDG1jteIhtVh2pLM33fvvfQkEnn1nlSSXL06LSCxEt8g95TnvX/d83veve/7rvr/m/Lrv5y1PkSk0hYQgjtYeO9SoIpMd++OC5WOBKf9xF+na8sbgtq/CvR8pdU2rC8q6VH/cw0RIrynP49obxrSM+Qu3sN1JiqXJYWL5B7bdcCIEkgl63vN531/3/ct+yq95P+f8uuc95RYISIikbKNbT5vhGs3Atg9mXNPmrtR06lks0FeMnDqy+lCESqm+YwzfRdpUvT23cHwDfAARTSI1GxyW9sRkD7uQfc3Er+ccz2+XdVuZ36H0GQD7Xk6vuCtOzMqxm1g48RGdjINglcVGzLEoEv5yOc8NkU31VeDQKxvDnUP4a8VSdhQPg0mIBDQFE6K26uu+n+H45vya8pT5nLgFE5ikUmW6pQx5dINrrAhAb4BwtAAFwaDVzlLrE5VbUP5n36hsq5TEHJnPTtRue52gyOaE43WTU5bE2DAP1z4fsE7MzvEiGvFTKSmtOU/MasTDIVtM1ObLlE0Nqbqz5phviOUowfT62r8gzx1kJEtLGxxzF8tY0tZhBaHOHHXdDAKYNeLT7NQtuEWe9/yaKk+3Gq2nzFtwi2WwJmiaLNrMq7ILx+1fzr+KSar+brLE9alzbeazvbZoQn+dXFINiZqUnalN2bKb4u1Lr5OHS20HGsgqPHb5HTG10SJjb1rviHWrkc6VULkOfkOTM7QgqTyVSFk8QTArhS+R5xTzfc/n130/55xz3ipM9votRXXnZadlrrB88iFPNe16T3VxJwfVYV1f9c2/DcO0PGUX1HTlXDqOKCUkDhX3EpNuyfCjBYr5ic5UAqMXoDihr60WSsFqs2Wcl7Q6iYVBi8kqTVV05P3dhKaY5uhXaMnwLlRtLA6ko5H60SyWA3Ua6tFF3ZngFnN8T5GvOZ9Tvu5p5mrO6SIFInEQFp6jHFFgzbX1WIv5LPENl1V9hrpOc97Fynj/3fsxO/IwbJFKv9uUwBzqlXn5sq4uUu77ET3Z9ITrkl9h/7p6uhJDMqmdY4UAYi/cLlbQ701V4mF+W4BBbGudTCTtlrQSG9w0TgYbIusSGmaj5YIuWl86kk3l1E+7DvAufUPhOTGDSUCT6RY8pzynJqXu55xfc95TvqYm1ucEROXJnXmwn4kY/l4d5Dz62WItn7DL0D7e7cmzzVq0t8jpfj9eVbLccbiv53IOpu7kWVx0XABADhiIm3nyR4k8/+MWq4rQe8pPzOMtid8tsfXsG6Y4bcbbxnGf6aNk+gT5tMz81/P+dd+/ns/nnM8555Sn4BZoagoujsxpeNWCAhhwpxYW6xsWNFLaN4s7QdOO153Otpn6yBfdCpPmseIGWewj1ycCjhqBB3JeDzmbx/XhVTBLZTqjJ840HE5jRqQ7FcCMMXRTRpBpRjae+a4Ul9p6DNrf/tX8qf8ZzWQGxLwASA831DjuFjznfN7zec9fz+ev+/nrqQhdpqTvq1LFg0N0bSpPBMyJLEHUXzZeaI24o8yKUbEuRY8ids/jg9MktN4SEdluSf9cfhHXcW+5S1LHm2kKJWQQZTzkNej4bSn1SkZDM/mFp1iJyKWEPBCzmowh9fAIl31z7TzGIIKQTXPDQ3CoyXCFByzkDGEt8nEMXEK/lxGroxnAzlWMSfMfIBYFnoAQppAAt8hz4in3876fc/56WkLhhkxbd6AzrxZkRxK1wmMQYWjOn91sgYh/eIzRwRbXDO73JiutdPJhcwvqXiIdT8UZb5ymYvptc/a3VHxnNNJWUgHclQqswmDiqLcOVWYJj3ya0FqJiVsCgL+wWFtNTgXaJdulLmqcgAkIMAUTEM0mKISSW33f1z2f835OUUQFzvTGkkGtzt5GnWOphZGxbqZA6Wr7KvDimT3xnfHmA3v/HSJ7005P/GgV1a3uen2UJQRefk3b+asi8/0rz1H1WoO6xlGFWicMGE8tWhLSU1fwmcXKFs3WCjzPSZhCt8iEzejdE7fIU+SecmN6MIgbNImmZTvTyweiiuay924eweyHygPYMJa5gy5b4sFdPYWruBsuV9z7BqfjJq63GSl+F2o9RNsh1v5Xc87eXGCY8JSBe9ln3cz8uXZvZq3gzk3SEjsEKETUuHpVjtOTvGURA2ep6hyVtiWvhZpAWdQtFqWPC39X5lXDLoBICDdwC1KAJu6pOQXoaqoZlkwT6MzgoUuyEMNJEd3rpkQezGMMRwF6gj4xIIN5qrLisP2LN4s1snO7LViMmAr1Jwi1ydEHt5cGEXKQhvSl2ctALSX7gOw9I7VCmAz6U5G+C/2KyhCNoRNeKVimAyWpu7S4hDX92zCM5u+kqHFogECXuFjE95zzlpkr8gQToiJlCMwQ1dAAL4QVEZQ5xeyTiQblirjkmy6/iwqD4FKYaBWmPy0+90Jl8H4ma29rj9kdK0t2MQjIG9ofLliRGrKfvN97aj0fLeK4AIuD+TzWUwOMEPZYzYsUKUyRKfi65b41KTVvmWq65pQbJIrQNdVZxB2l5o2ckidZMnzBKq/hQSuLk+qCg9G4St1fVPi+lM0yhIcrNZXEob3JzPxWu5FrHXufl+Khp69/JLbX1qguSrcIKEfsYAkuEAaSEUiWypNLhz0KhHMtExiR9PJ4uPahqtTmX0OuDDzrAh2VKjFVZwEEdAtumU/NcN5y3/Mpc4poBuEWEZEJ0qyyZ1jZXorjI1alyg++D5o0uAQz65z2cI0BdPUoCJtgFdamxKQUFfYfZGSXrEPd6wemJln7xVaaR2vXqwCWQYr5Vp91hR6VkW6IzZPGfDPlkAensxHuAPAs2o7xElrlKidHRfDXU8Sdhcn6f1Euk02d4GOoF7NFDUwe902Re9rM8XPO55T7lltEoL6PbA+NgTBjUWpLSFXpQIF7lUO6JAysG7PMx2suFd+6wrVsaOCfKeHUC9iy8iOSUsoD+6s9iWzH22d/21m/ehD9hja1aKjfFvRZ+kBEHGZNkJqlp62/u5/TrNQUgGzJFIj05RHyQzxT79V9NUyAEBMSchofQd8KVvHsxvKSkgylPzDqYN/9wmlGZfEn/UdebD7yQCgR5aKw8HbwAHG/mairL9vit5TdGtiT9z4lgDnbIVIOqVHi6GlpzmYvw84szEsXaFbLahuWCwYYBBHcwJzia1dsFvk5pwrW8563r0SArk4KsoedqcCI/bo+NGqAyBah+sK0g5PJbsWEgs2Rui3+RrAylg42LDd0fhQsugKkd9qNRXyoIJxysVS5R7L1Yb/JP3SXaTk+BxMA+autnI9QcJRRT4wKb+K+ZrP09Ryt2bKQv2XbysEjNkaelrArQz3UYBMsM1SkW/lusdWb95xPiE7O3HPq8gQREZAwE7NSNJjBxLmcSNNIq9g4gouOFtPclQqBFpOR6dXPUzofFu48/i9V3vSLd8phh58akPl4Ru9PvGGBi0zkKQrzeBbPq5CqEZjADdxTnjLvafD8OeWe99OdYPg+0TkWttmAZhYLnPrzoq4vVuBGteuhIBteabaj+gX1CoNi7+B7LqOC0uXDumQqs52V+YU/L5hyYJ9HGX2zKbOZqIzgCCREQwjDmIXNHGUFYZtLNxzkwqBvikpG5plO61WrgXLj5StjmIRYCEI0BTfkecvXPTM1NeVrzvs2wZoQRV0mVV078j00jccd16ml9tmcI2/3HCC7oe8WaxOsfT7QQmdKqNKbjfsRlfjfxTs1g9rur3Y4/8hKjdnLY+flC/mhtcetBm8HjDgYMyQCHIKlOegMWmN9WU1AtUOr7DIbuKXStmfLqXjBws8SnTGNIX6CtCKqe8qXzOctv57z655fnu00RCVzAgB046q6Pu+otZ0rcBDcE+9XGwxXgdE8OrKCpeQcYRmSP3KF/zULl5/Hb2NwlVUf7vM8ljfuhKvQbNfjBSndiJnF0pBNUflzylPml63nnL+e80uFbMoUqFucImJplBYqhKUc+arB91T/beU9eG9aTim17lop/rAPm7FZ18pzfRHOIeAoQ7Gm6nbqSqXVStrXq4XMeTphXzEFJhqa08sk5tingKzHEfP0LtTJ/jrPEc+TzndwZjg55c7jSjtSUEVKXKTk656/5vy65y9b4SnPG0/Mpy1VEPHdV2SpOF4hIki4EpOffLzyM9wMZx01nakjeBiVVZHfCVbk9MqTHoQ6XkOd0E1KisSkMrbSxSt8RqhcGBQ31CVJwTEkyxXaBFFzmS40dnEwiYeBdZE7EddFR9FA4qYItGNEalPeCo+Y8ShUcSw6GZGzJfIjKol8G7sInjD89HXLr9wgen9Ned66OB2TafprU3WnDTHDjqpJ1TSLBR8eTqSDyN8X5JQ/uTOzJmvtnprPXstHCVLmamYKr/6vLVyFkogc25Ys+ZtY5JuuhxQ3p+zrEbhMBkjgfNLFgXIDU3NR8/66bSf7r1v+dd9fml+Y0A2ic8T0s6bAHfK/IFcdYqV9kaTlw2+VFMbHAadXz+SpXw9RFzfmUYyxzxxfRS1hP3PJCvI6uWdp/W3QxI7DjKZP3YZn+gpgdqXlaCS+MYfBRKTLPwgewbmtGiUuigxNWQe2DiHg2dM+gcRMfrB6mVzyd454Ah0TJEJT10jd82vevrVh/przOeVXSaPb2j2jgWMKOalqk7zERBKLmsvRTwsQ0e99anRHKcdSwhM36vrFY9nxG3muY6Rd73Gd5HTK3k7f3+pM9RewLK8bPdBestJlDF24uc4Yh8SYYNmDK/7retrVxbGVuaswLO28D5CpDXL6R+tAZFRtBWt7wTgTjcHDwz0QgVkhkW2oMgyOe+LLojyd6bufoqs6RZdV+eEIZuqcgSmmlIfH+viWY69itGpOp/EI3r2SOi6LsoITcGzQsZadQW2kbBYr28gPRxnbrJoKRIhwK+t6x8VivSghXscbu7Cg/l5JbsYuUVclPmFbMTkrPcGWjRRtPkx3MVfpXeFqPTUvZVlN/YmvW76mfBXBitz6JJqwFyBag8X47dwusHwnNjzBbrGsK2gXflz0sQPGCpmlJrb2p6+S21ckuKVRC+BNLB08Jp9Wj1tuKwKS8uUqt3Sm5FULWuf29aG7taFisWoYBZQjIWCzsIfaVJLUROkHJuKckNEjpvCceIp83fKU+bSf+LrnL5UzX5dn5y9CxBMQzo50xBVh55pEvOhrf+AgWAAI0gTrPdR8+e35JU3kQ7udnuWmkilmlFaNSHpCgbXSdmPIR01A+sDV5+JSmdINO+qJzrjD4iCGHZVlsr7yyC18bhBPD9b5oOPFADT3xEPfveq5RTcYbpjGYPvnaQtbKaW+T+QW+Zrz1y2/nvfXnM/btx1P+XIgdUNi+4OAQSRhmDwqgPe8KXFySq+GMMbCmNgNezgNU9ysqATwMoLuAXPp4+lATW3nXVR4si7Vie/friPzw8Ll50uLtSQq3lfnkhpcrgXOq1MrR+J8UDmP+kjBUlxW90gpVLbDW1yqnnP+uu//85z/et5f9zT3N21v+xRMyq01cGk5jMThCnJK5Q1vXjh0Z4fjp/fseNsCvRCsDZ+kYYpBStFSTi+ExKRXuUJEuenzWwdepYyoWK6QkAbXXmK2U0MoFeX3JVNj30XNLlV28/D1HgbQM4NgiQpL8wEgmoKpyxDEslP/up//et7/et5ftzxFniLPadkpAYRZAD1OKLqwbAuoHpDzHjdY2e/VYaBcXLC3z5xGz7lwqgH4Kr/6Ha830eOAs0sp5gmtim16idSvwLQZvv4rRCxEL1aqlKzckoLIs18zfx6jlUwyJw/2sy25uksQxQznQmjIVbzdhMqUwNarPHUq3IrnXMlXovCwtAgRGKIsExLI1E0yd87M/Lrv/3M//3XfJk/QOWZLIoiRXVavVIOK0oGN3JJcyS+hCdIWYrsA9WokhVNZyJyDw3n2xxJ7kgcTpeE1KswOnCmvl7u9ZE/0mllzIXYIvc4Q5JrX4toKQKUFThWiln3mXOZ0d9u9aPa5U689uwOofIqtd2yd4xHWWbsAkNibGnRTg9xTnrfokWVfc/7LMp/zKX7KFPzsMvYZ7GNnXpfQnm7N1/5hu7/elbzKKOpUV5Eouz0ZZmU7KjLWHJ66xe4PIt5aOgG3TTHw3OvhTkOR8kNeLk6n4/BFrR9pBZfq2wzSpiOVBncYqLeoQOfySt57wLVnanltMQLs5R/iG45F5NY1ny49QrYvdPoG0amTZO713uCE/avzzQ2p9u45b8uWDtfx+vRyFofL5TGs38sqWBoUSNlXa0t1ewAfINajK283ljGp5rW4OD4yxUIuEInBW/JsRlqKCoAqDT7mWLpaYtVIotcaAjT52gJLbyrpB3BPyzEe7CLO5HvYdWuKgCZExQu2Z0Fkyo04n5PAjMGEiwZoCBhgEXuCkXnOQrITvK0TLp2hFII1X1j4X44n9jv8sC1Kv2EWpSSYCh9M7k+GbRPvg2CpzpHbfBeUSPE4g2H37yu/isU6iHeYi4T2QpQvsDc/V0BC8Maa9yM3G6AstTeZ4iqmvnE0zvlE5Kk251jnntrUHxNxORkBfjCLiBDpWcsCWx18AyAWZmHGMMliDJZLExcEAktr/Xj6aaGrsXFjsa4+0JHKRHfcnPYppumIzmOovxLB7NDlTBkRHQVrcb8N9dQOMJ1GowGsNyVcTEZUxcNxfdWrt9aA1ctu/QCXfFIie67hA7ldgW3ikwmZ07ZewdUCucm4W11X0ixl93BYh7e9+LCDzeSjfN4+bIJShxXrtSNxe/B4Po7b73AIBPNbGv5YMtEkKLFR5M0icE2Y25Z0awNpuYYeF8D2bkdk6jU648mVXT39+55tLmmOetXTA2tvC0Z1TG40sh9VQLZTkwgivqPhOTHltolhuJ0nOy7WlZKJeRBBJ6qZeNBgvgbPPHgq0o/dFpXBsF6dJqtWzsQRG4hDDSt4D2EJJxhKnIPWwA31xxZLU1IE8dXx7V/tOfNLRVAzRZ3GpDvpwoxNwA8ogYkVcun2JsvswmU66e9iVT1hU80C+ZfLvbg05mgGfHS7opn0wWOQYTvAzhXW/JPlylOwR06W+7FGoUK6OhmDPTsPHsKDOSEmNaXYeMYbO/P8beePWvd0YWRitVkQLNMqyc7d2yW0KnqZmo+Vx/tpM1WuDv7UFRqLz3NL8GHQ4IRthddfG0z4cf2lhtduxCBfThqneEUVapZuQI9CsBliFayYEyqxxykIsWoH01BbyAlY//9UHmMszGb2ZS8OErSAKjYoFy0WA0gg9gIOCryF5bUCm9Se0pIReYUtUVUPmxGVxwMWCSCPVS+RalQKJ8B+VEVjYho2dWwHCyvBCMwksKTUnHPOp8gECdkbz5rjgh/ArHTqMidllOa+mPU9SCUo2IWwdsVY4Rn/mp6BRyUBDX4ANF+C8Wzc+LAoOxpr1xYfdd1RkM661FVGHpKTcWEIVvhjPceRmJghpCIQTqWi79afNMXodjtxfVlIm2CthjppMENeHFw4hYl88t7d27j0jhGyFVHTJEBysu+ecvuh54isZkwWBHVp+oujDJOv5sqOx7Zkw4i3Qr4QjMAyqCtQqK7/jibPNZyrRQoP94HCJlf1YpS0zV52jDV48CA9BlfPDAvr87owsW4Ex3h154atvi+BoK0GtY++X+tY30ulf1F5RKZmsRRLeY9BGv3ZCYt+ZosdsyEAXqwGfl8G0Rg0xhgDY8iAvUn7T/YLnXv3ewji7yiPdXbTQSsTiU6A6eY7C5Wg74qhTTiYKGNFq0pHyHKmFUebDdvTGOjAjfIvhDINGv4yTn9qF9U6JcFkWxty0XPLy3m2Q2nSU8hsE0/k0PPQqXpeWWFDsYLhRDcGkeEC5sHjwTQHLh4Xj8kkJOzWpxwHjV4Ve4KqmKvOq4SlIDOm8ddGTv1QKH+X+WytNRvdyipYfgA1kb3KfhDDIJT3B8DgbLwuylvycoW0Ej54Ptl2q4B0pbVV4b2NvpZuuH/kyGoGsgkaCqKq8C5TvuQfSvZscDwJ0uXnmBD9Tzyb4AukhMinXb0pbiSHFSxjYEMI3Qc2iK/BF8Y1xpDrYkw2h5qoNt73sHGFHCeUP007DgpfaKjj0uk9l49Tkqt0fXfaDBOtrmfRoU8LyifohvI/LPxCWaqCh3X12QMDNxb4DU+ZmfvztKcZJxGI7p7RSRuyZJXXP3prnxaFDIPGBbrGuAbmGGMapP3zwqfP/2GfuCZI9Z1oAi6jVuxC8zrfRxPxksu86M2Jwvy3o4K2bg1udVqSg10gKKSj6JD7O7VKGtuX8MMsOTSi1bNcDFGZVCHWvulGBgtRkkY320lRBBK8QGiVcp2PGsRj0AW+xngMTOYxBkN8o13kHGvFyn0fiEj2emtMnIpUyFPfGmHQkk09jWK68pxfKfGHh6jr2FXndMi8S67bAGeduj2E4+cr94uIW16UlC09tutobnsw3epjn5fPp1CpCc4arw0e8rCQryQ8PCc5ITrlp0vt9EwzmwYgENsUcm901Ri/ygWg2K84jEW/0LzpIMu/X4OvMcaQIcys2rhlhxN3qMJwKnkBjrGuNUZ+8dAFnNVfrYReODtRb9zhXcs++Q2nKR1Ao8GFP393iUTxS0duQAr1bntkv7F+xxVzuNurtgppqGjafj0N9yDAJAIMAfTO/6n/ToTHxEQX05WypZT+gNsdxh2Ja1mC/6Q3PFksEY+Tyn4mt1VF3Q8decV4+PRVmu53t7tINcEiV53ywhEPFuKEcwaZvxv2g0KwcsETABISmR7oqe+DTGTci3AFLvhcKWmS3FFdYAjzy7kUCH7iH9t7wmkMvmAbe8bgoe8m2URgMZRtNNz75xQWx71VrLBcMTcHnxWCQxMulVQ/0FFQgs2CV+Kms8Uq7w/j8FbDO0SUNCTFXrFb0O7rS29G/WO/wYXJBQvrl/Cx1Zw/eeynuTQG+0yclTF0v6PLExAh3pQ5LYOgaxOEfHnzqIGv99ksWU1Pxiik58gttgvxcTSxyS2Gn9dnFmvwAA1iIc96Rvo/mtqEpvkVNgYGcTZdVCjxySuXDOTjLlig/lyiLRsDU5PFobqYMe1RYfXBRbaPSG39wNuHvTAdqtqLm5bzlz2D4QQ6X5gjG2e2Su+dPi2jB29Mc4J6PLUtQYtee3VN9Lmsu2ijt/T5ncvpnpp80lC9odnZckzc9vA37qxbrPdlV+vqT/eGuH/5ihKzWK9oI9VOXYc/whbxiuZ8Sh65LDPpq5pTjHL7tKrS67J8l5U7crLZN8vwxgpPSxhMyBQRPT/YD4TVhIK4oFbByoReUcl4JeW7sn6dfQ9B1fM5wDQcZo0xrjEuYAqGHQjtjMz0cmkkwgUnnvNjux02Ss1+rjM39avyOyrck11YrCC51yeicx7LAWQcS9AcaLo4nxCOKC8EqIXzjWCOXrsdrZNoGjIkY6pNyhMbUq88fokclaIrImKxqkVAtqlBBcu37GleyvLrPHR6ocxDMtLeFUvwysUXLh8AEm+fLE1qaxyuMa4h1xiXyDV4imUlwhUGP+q8XmsO28sMKEdHNuSef3vWO2m01T2eXl5G0dMoXLiyO+i3G1aNXk3xlqM4grQuWEVw13KwWEV8VladimO6Gj2EPruDdbl0HaW6VaYKFmIdem2AvMPf2qStfHd/0wT7iOIKTbZwjTFEisV6WXmbjN/uW8XmfUj403hxSdTVDEtYrIOJa1XkJyMwSLEkD6rg0oYDwnSlQBx64VYXRhs8H8ekyyWKj+t0uu6ogtEEEVmiHKAJD/1sy4O+olKVJQXrKNAJ8mowsYG/Aof2jkX1qPyJD2xd44s1U0r3kIvHYJH0ROeCXACWlxaSyhKjOEJgJa63wvVS62bDlOaW7O9M4uQTpxWk1aG7bOpCW3Dup4lMAHOJoTm3c7Q8W0WjmayuTHZBtY0uYS4x7HzyMa7BBYiBSMx/wdeDkS4Km6TgiRSbK2C3kLA7l+Aax0Jij38i30GB1YwwIPvDTnwRndXQxHg3e6uRGZMunhkX0zXoMa4ny0VjsjXlBthqQBOksNpE/oIgR4LO0l3ukudVn4NQTa7mpW1CL7o5cmY2xtSrO1isbCenPpIC0wAxwQoUwv35aglWP72qITfUacyAsYg0fWBLhMdisew1HoJETpE6t+Uu9e0xCGngJsq8E+Xu0j97yVFeWHauY7uycNtSt4Po4nENusa4eAxbo+WMKFK7lyK/4U7CMTmtx9mNA4nVYrVvGlTPXNrL/n1zBuleb6jOQiPHsCHueo+aXjVaADITE1+WlxpD37dcyNDffuSGJhHsnBboMWX+Vu3dhdXu7GS6jBtJXbC+QVRv3OuxvyrmZbGy/ZMDrz0neooV3nz4pOCzP5zqb6p/nJhqEhLjW+Yfj/Wz/SinA6Lf01Ig5lwCs9tPRmkyorxhc3z6k4hISCD27kY/cWpOPfNOdC5ZvH4Q2ZvlXR7aYKnRdUftGMC9cAcx6fsNE3TmenoeCP2qm1k6k5FX4dxhokF0EV0qYSpz8Jp4wRaFm+GtWvixNBQG9QT6zaXm0QV1vVH2IbK11e9lD+p353Pe02F4w2uU62OQvi6Go3ebgGUAjhbY7ZN5Bm3IZmb8oCkTcUSSk0hiYeeUWc1VEJXnICgxAVlMuvlksRB9NhBpyHRJBcWt1AXHnzpwdi/BQfYdFjF1OMGCtmiJubm0yCD+yDK9Kuu49E+rVDlDqApCKeubKfThRDg757j9CEteDlYO42CChe1U0rNt1e1SmQrL3BTpUdWAQGTililCYu/TxoTuZMdMr1eSrZEtj8nHogBc5WxlW6MwntU/3shNd4U/AAPa5Ty6TX6OJJKIHznk36m6cmhv5jE24uvdqu6Dcweapw84RUofYhWtlHvoyb4xDUJEeV5ZFrO8TIPHuJh1NhE+O0NE5aSN6e/5ELGZZ9jJZrHtON4E00QkvDkKRxQes8qZU1kNbENgKJab+x1EIcmRfwGPKt4BAArMKJzyswWZaQx+XGNiDAFLHljrYZyrHYhsvm+L2xzse3QYPewDvBZ7xWeOF6hwS7WujnEb61KYiB77Ss5OgbF2uc2lissItqy1fpLwNc2/GmuSxVqdn7DoQ23kRupct8fc9yyCpTPP9kHieAe2mX5P4rhYrKytqzUi9DJNyf6YTCTICiR4LMVWsIOGk4fhzjbzhjq3g2uMwWDfRNZP9PjADjlsykZTPHv75aHy3TrBTMWuewRzklC/do4KlyaXfnzk0UsVlakIQfSUVEzFxIrhAEN6DsuM7PnUo/Hk1hSC4TIiGmoJ0dlA1GzVTiCHlIf7/ydKwiyF8AazxjXkEpayGN8LFvn4p0h/4273ZTNcP8YcTUS5PiXl842cgCMysYGT8nzuYs5AFEsPcnELZ9ZMNzBMP2JqAtBTzhErhslePcwFnOeEWuJsOJ6qMJx8ddRgCzTZUeRbU8CcDCn2NjMfL8dXV6+4mqN/pTZXSWVmGuCL+THGdY1LLgHDJgwKOAyfSEwwCGv2m3PlPMeovAjre5eLQcKhO9aD+gK9MBwx9F4O67G430HFovqonbkYoDv5HvHrfi+r0Sc/vtpoBSBiO0JFxN/pSCJ+JoePLPyNVuF7NeXhYqWThZTYxOVCnFo7N1vng5DsChKX3iVk2oHp7mz8UjxTAUr1iGGr9BTiwYwxLsFjjDmGgETEoFRUUEPF/FGaWvn9Vmec8LPwLdgsbkJR161XP3vZ+JGcj1y+3xeGKv6lHQGgrzqe4lMxuvScnHyLGMYYQpYX16V53DGIUfdCSWNvzdB9XzQ4dqyb0pwSci96tLPj9wr764PVciXSAg0iyPx2A8+Omf7BkhYrjEyYt9C20EaA7Xj5onvF4FoJ5Sf3hZZG0Gn86xq+sUEftv17ujtUl3TKFMk0EjMTX8Rxapku+LR7QMSCXA5GVNosF4NGjxoH6WHwzKQLZEllWQNcFVYpqdw0Yul9CxN8mijRvuEfW4+L6pRTJg2am2D56ozhxydduncoR0L7p804Obx2sACQoNAG9rCkSZovM4iBOp1S0HL2OLb2RxySrDq/QKBaOyKyI1cpM9Vlpp+3rF3+PMDSa1zXsM1OAOk7CiAKz2Wq77MtMiDH84OZLxpjEA1giNCkCZDcniQUEk+wGqt9BvJkUCNfxtCDQHz2sMiK4frV8zhP+4fw/tI4ELBbuccgxHvGDiRxGC22JQ9+xEOEl2wr9+uMqvv6HLVseL1WGJRfeujjqXem2E5Qag13F3CAa5PZCOjPXOH3hT1XrOM8ci16ZLZhGF0w3QABkR51mK8nVI0BAqZfzB6jotnW/pmq/R+zv9+b2XJviYw+6umL215gzDeEDbNYtmR5CA9dEvi3Hu7w7y65uiHxduGEaWpZEVfmchIRF9epX9rEj+4RJabBg/S8EWbS1Qi+7MC3hbqPGHyVORyvyA7UE8NAvraqzd+ZNi/eqpbFgjbB2sRS+TGIcq/7CQI7194kfvyLRlwlM7nHbnRNoahMS+eW+58XLn3j8tM/NkqLCLBzpQZrbT7Pe7+UfdkMtyvdtXIEYAajFxPscMH2XLEfCeTyQUzkOxpEpr4hm4RgZ37o/VrcYJlLBAgEAZHlIqbDehS/UuQbtQfWseAwe4rEnvcu9rgIlNjJurayMFsO2SMHW444IDQGFUzUnIjxreIZJsKIM7QUb5EfcuS5yzADH5bMHBHnn9aj6Fmk0/eKwwCtLKpMCUH8TVeY0m/U6uYwVzgeulfMcTf5ujNbL6cYeU4BcjAjl3Vdl6+RISILtikjNveXDtH/nkDodSWfurIXiA5Ux+n7ysKO2lZp5ot5GtL6rxL0fVsOeaxa/FsOEBtfpPJRnIkwAq+E2QNIAk9BFNy6EzQ/xqUMP1DPlicCCnrMd0qs2yO9mQCRojgckejWL4fn1iO/TUSY9HQvHU59zWQJYN6WAltXZ5ruJelxxjCW4KJCZROsWAgPDBbWSVSyI946WUtsUU24U+F2cQ8KnbLiAyP+yETMFm/UNttXTESPeHHc5hO16m4V/IO6ER0GZUHk0If1i+0ofUAmfK0UIjRymGbQvJysoDbPht1WVmVay5IQbCcgMBPx0DAy6I3Q5twZjQiNWwCNIcAoaZcRHM76Gier2sRXPiNhO3IlHUwBIx4tay6+urPcJepnLg/mi8fjoikYOmtIMgBiKok2KtOqPjRl6jt6EEHlGWJxvmqHfcaafVZt6WzlhP3YhOf4IsyTjm4uPS12TvO558szU2yaz1eeSw9WuRmrFuoVanrxjvBFHsvpURPvbW+t8kUTAcIqnP2wtoJmP/ScKfwFWZnmsg+WbeDxf+KCxwnYsNb5EyKirMaWjoj8B2WPCltU01tOTRjuAcc1wlypc9HlnfB5PdsU6qlMjqbYHwuRNH5qy4h0Ypcq2ymlb6Y0EbZmSVbFdWC3lZrzpITw7cFT2Tiy6O7PMVDqksIIsm3QrAceRZr0ui4iTfm55GViaSGyAO23AhYwJyY/yOvNjRmlhU91jei4mSK0KMyASQNFLEiDRp5j4VscPNMJ2LmdJlgOMDIss4R3Faxo1OAUkflBP6OKiAzEDTu/y1Ynm0+bJMPEEZ5O57BDhZsAEXMs54mOkd3MAdHUhrTAr8zGRbU+PgH01M3GUUK7aBfoyq1K2I4nVRqY0brG+OvSRbOYsPDN0ULitAhoQraqkgQQKBbEKfT/YtKVhnG2OdXdRG4l+nrcpZMcSz3mSGqbJ1rEAhbuxdmKtjahQBfOnyZYial24mzhXkiVs2kQ+Zy1ps5VwQCwEC/dZuZ9WLP/HAms5Sk6+rX9VN0XbPv4pjTgRHqGpAOc8IbK6QvjAUxgiOim8I/Mxzcmy+8idxiFPuyM+Yk1fpVuMChD5BIwbPzhghVORASsx2xMiOhqYXtwjHpujb2tkqDZiNKbPvioHxAbBXSmkJA7yVlnmjBYdNJJeN9Lzl1leysB0om8wwe00YFLw/MHqvtzyEfaPdopNY0vRj8g7MWMwRf4Atej4d8U9vRy1WzqdifuSSRSbGnDfyvh35d8EWbQ6ifH2sB71pJZLbXhEYcmoiuFTLAUXzH5q5FpkFv7GklZ2hPEjA0Z9VyBeyz2zTYSXsfD9YsYY5CoaE0qy0uUZeEFPHIundZZN4+0XWeI3I9anF6cIzMJQmJ2GJrMifMgnJ5ys3cDI8/7o1KBtjkUaMYxWuLH8CLmCncr+iIM8u/SIPvMpXEp3aiOjdlFHTqPmoLEM3iNdh+p4Z2U4LJarFFMFLktsZ+alPLXFKlUeTrqUt9VcIq5NnVzLgTeKOxHpcXGi9kMlBB8Qo3tIdNp0XM8tg6Hsm58CAHJloJxB6ZZFygNaatqYSNX37kbLYOx8GnpLnhBgp9ZSmPYcTrjZEh+p6TG194WOkp6vovH9w23BGmyJGzklu10aYj1mgu8Ds8Zho6rYCkqr5YDeHEMae0+uRYTcUc64S8GDz11jV8o04uCoxBREo0qe/3BevMb2rFJewQr/bE2plnB8Cx8/gsYcKImwiUKzO5crGrE/dkjywrc7OU7uPmg+t6RmNTzLFMYKiIWkGFykAc9boFgwd6wDabuOyPeGx4KOIsjg2Ae1qAqVmZz5TARQU9YtCSrc81xru49EA6LmCw9AFkmywm5COWEejyoBIYn8ExTDFDIpdNZPa/mDpjJEvvRpwQZJl4Ihc1lsqEhvtoj9Ed0GtG8rasRUlJz18eiYsjuWRdLT3xxcL0r/zNJAeBvdnbB5iKaGRWWRn2E2PvscEGn+CgEy1Ozxb+wJc/TUAXTjPtFv1pqKqdFVUT83+Kam4fx45zJBctUGYNZLEp1Tq5mPKqxIa3WMlQ9NJXLGiUKIaos9O6fmsgkf3m64GWVbYNMnrtrt7rFAg1bpKVvskDuwQ/K43OstTiZ2RCs8jqr4NXqsdtADOP30tVjS4+rqJJ6W1uQEMrgZ2PYi0BMGKoLSZdJKUxUSAyz/I0F5fzHTRJPd3rbRESDGH6MrWWAvrfWazFrsRu2ln5orH3vcs0qrNi1N+p44I37TrbUSY7v+uJdatfqAo6txdMOihM1iw+tyhCPP/7XX49yW6jlAPlSKfF1T1lHsaY1Wh3KeNNA9uWmpFadKAKOoLGIoicnS41K6ooI6pkITBcRiIUJxEPI5z3sHUBNrgtr/P91KugFzuCE/660ku6DaJUwJHeqMfOuF8zasOYpIZIUK9JiPXhH2L0Jccm/oPhy77zR6d4+RlmjynQ+/lcObqW62AQjHxSz6B45F4off12PfF5dMhigKQShmIyx99qPCubDb8YFkxp924wBlOiyp1s95+0PUfV/Xa5ewUo1rBoLk03ba0zOQswRM57171WksBsNj0X83eQQRy8MYaKYUPeKyfninaK6RaLcQ12q6ofS5byZw+P7hIdb57yvStUiYanQwdk0T+BASTtP/EfBPNYke52x7qk+2M5uQJDgRQKtc/Yt47MiWFuKyMxTq5o6GOHtw2elDSAlamVf0ZtLUt48firreFJ2eBCBeMBf1cLWbmvHYxAq91C/Z3fwOPnfE9k+IT34Er6Yp7XwM4+f7RYKCnWdP2cLuNMW/s6efohPN6oqaugHqYcKmyHRxNRgWxljNRaOxPqqmoEsqxkCehkBvpDDtCgAkt8WVVVV55qb4FgG7viBmfWVNLS81zDatJaNg2HVVodY12uwR4vwbJrNVQaetCYco3pnuUoqR6fCQiQuKH4wcYA2GCwbNIQvvh6D7gE9UVKV6DvgSoko6mV/qiCxDTnEPckfKdVA6QUlQ7Q8puTQ2KmvOpdsZ+FpV+OV287nyAL4KjwiTWi9Xt3F/VcRDhuPlCoKnqP23n9xjJQ5XMN1bkE101Fe/OYUmWCVg/0Wvxh4ybXB1En9ru4LU4KHrpaOeN25MtQjB9cJUgbKrxs+OXv6Cs0R/CEm2w0mrG851JWlQ+y4zJXflckO+pav/bvP8n7FKWEhs4Q3Vh53ESwQ2c5B5Ct7zVz5YY1VsL6lh/vn+Fe/e+OzfqPoW7UGeEgq4t/awtKc22FVi6GretxIxLzp39ccxhjApYfCjzEg4+Xb6P/J8nhKMQVZWBXkAoiqU4jknq1I8WUynt/Sh3XRcDONAdVTzrmoDJPaGDYvsqmYZWWpqOEB37DlGhz4sWX1I1wyN5s+KqCsN+OGpHhRVyR3iuwxrM70eZeZ9QDeYVsnRMRuK6GLpyB9YiizXOE/8x1e5rPr/BXTtvqPeZjRLsnSMLnJnmCZ9T1OEEoMlbSU5xbJiENKipeOBmPQHl8zKrPVsYOTjexJ5AhCqh90kYo5Hbu5LTJeseAJvduzcAEo0CW8SsxTHLMD5kwdv1N7ibxVQPU5xFPayhrqZwK3F5UTP18yY1v1wX5WKjOJ0GJKVDWQgCr1sHGjIhgOg+gAmYmFL52WHuMSCPFMHLWBpKyxyVEZx/qIk5JD3DAkEcUWO+RQlOjcW3k8RcqTxLb79jKAYrB6o/S7UgTLW/NeLJX9ja5iEGMQwAMyZojP3+wKmWkMJowqd8WcM/8Gv7yaN19EIttPlNTDHTAhY9LLl7x/W2EeJJYc+z0ia3l8xWET0JCKMcY1ZMC8lu8+j8YzjNpUuuF6NfQhncX2tC4k7qsxVPz/ZkY5TS0x8WASO/6Ahgw/sixNQ2B5zsoj3qPK0uIN0eO1WGNI+mLqSJm6OeHgTLxJ+pgO4KpqL/vmTiDxuzn6McbF8hg8B0/RaWntPvKZZE/nl1sQj2bcjda73djXkBPuMGIIa4xiN/vlx9c9/TkENiIQjQHdCWNZIsTTkVOoQ54SZKDFV10Vv2rNZC+8m94bq7D7yzdlcR7mxEFgnjYXbYyrtdZcCffKqoRVmbLrhrCYdF+yTqGKLmvKJUDwzW1TpFbCMXgVJh7kqmCegIJuYEA0mC7iawwBriG2DR+4mCgmzL2HXlERGNsCFHjXl3dVo8W2a4MCPRUU2iS0kFynXR9fswnWBQwivpgAfUMVMSlCfe3BX5TP8n5/S1mAAPv+ln2NDW3i+E0B4IcHkkETsnwGCELMlktzhfbjKFymfssR79DOfrJb5WuwwF5GdzmgrH7Na+FaXRjq3MLiwlSN5HcQotV3LO4KNQ/E/NdFly1sAhGRgJhEDdEgFuKhAp3AN3zB1jp2UByd6zdaR8wxofYundmS4+BFX/yD4ncePMCDbBqmJKcoqnJP+UL+4XMQIsS+sjqMFjGTnnBDTHG0vB0CoC//FXs9TOHUm7IJYcMVfujg8OUaoxzcfQ3bfsHh1+qqoioInjMcY3jA417CzxhTZ2fHZLjCpMHtNrHSa3LNTESPXy5YDAxiAj+GyHVJIiGeDiKYLCJywKLBQPO47nINkO2NI6MCvSUU3pLlTIzzwSp8/qvufVaNYBqDQGOQ2FHpTP5CrRqnmp7reUlGhWW7FSGaw2cy46SUa2IENvYZ6fkJJ+LHlZiHKAdZHXgSMeLyRS5eSgCk2QeYxaJ4gybRYGEaYGFS+Q7xItPGgCTMnPtRmkFn67ru4JX6XiO/l7NWp8pmCBwGKcZ6ShMsZr4FfyGBaVgP89PAMjjflw2Lrd/775w62c3ch17VlVRnDNUhynfbazJ83SpzPsT3uRGdidpzCOmCvS3xZ14wLfSbzkaj4e4v5sfQzQMkTJPCNR+cGpdyrlo/5mKWBRAfaa5V2WfPvAMMXMSTWXz9Ojtz4pi5eM5MfNZmIHAl4gSz9oyRG2BKe/vGvZ+wY/lsgnXxoGHvkpKQD9XcxfCpy9ET/RDDElakCxbHZr4ziRkqI7q0TS29YMVyPaOcTClbhep1bN3fGI9rmA/MNQy7xYqauBlCd03RJ+sBlkm1+qpMk4I3EveY7rN0c87UMxd6CGoj33xI30YE3+P8nSVztnMZGBsIt4fJwTRlzTA0ga4fzNnFxhLia7CALmBKkeDcxBrZOlLJYoIxgOMsg94jraUgtjUgUIRQRKYaYK77sciC/VfDA4hxFT6NYRMJYLIj7TWhBbpsIQpBzyi0kyOcLKG6z4YVi4l1xzQnwlqkZPUDSEJmfdvaKlplYB9xmobeFG9mA5AL6njjH+Woc7KzXP2mHNiJl3+0C/kNcriWm5V9w99OM3iA9VhrtFvIcEW4huhLwT3B99SavgZLTZ770+8Y0HzQ25tTIrkpdVisIlj5Vj228XVvTUSnF4K4pXIZKjgPYXVR66h9fmmxgjOPGVZbLZZwyNaVdtP7wqtJemGg+P3Xa//2S9138yrXYcKLKXhBx8gtFrmvPnNr0bkzYVBP6m2HJY0TRJgtKTkGIFrj20OXeQHwB11lDylelkRadj7bGBynxFZYVASsKgyF5FSLVQjBQW3Z4eWRMEMw/t1D3AmTbmge9g4teBeD/Y77I2MbFOsQczhIjtRbIcv8XYGNYT/K4lguvSbO/7hs34kFsYgPFE7O/EvLSug6mgH35qYkROzBYAUxOQAgQJg1whebdNanGQR7LZmvyh3AIIKKV3GhJTkZfWePrdwOendrybvDZTSAphfs7D+3IW5/OPKpvD4XmMA9XyAzWguCN+aDbYyM4xFSQt1/zLbXndBEsDdH6nkeGKiCZamb7Pxr30jpO7lfPpeFV8t34WYo6wzteB93+WKmQWxvLQwmMaXsv6uAIh1CoAGGYXdftqC4HyS2Pcgj+XJeB62wsFustT3qYnAu1WK5GjfZ0tXhEZREpQEzA0VhHbhGjdv05fFXtCfY8J0ULjEgf3sbBHSpTofFOrLht8uBf829+U3mXn4QvKtBiNTKgL2yPLjzLUkWVjlFcO8A+G6t4iurM2GbFnMX048Q0Lop8Gh8PKLOA7yxq4Ho3C2kY0lLpC1wPPKqlVesSE5UwRJ3Geg7ZpdSTpvRQzeYBDJlThnC8AWRjk6C324t0IQ8K9OIwl3ike68nqx1RqOqix4bEW4/H+QVbJmTzk1cbcEnE3TlEmdQS0jAZSQEeHKiiPX8XSKogLvVIogGTQBED6wUZj0cGm45QCDxQDOCBMQWBnfkO6MayveYjj1QM51hAtiRlvpEJlJ6iJhZhjGmLfyKvlNNS5rYxbyLhcvFmcLSs+SLZ9X8pk/0uh8ZDA1jsMTJjPBhyaCv9LRFRnv5XjO4V+tUNtxe44UCm76tOSnTGU+TCtaVsfBr64hWixUu1wMmneZgkB25QORRlaXcBeSblkOy1AVsFCeodrP1A1viHjCnpf2dfGOMYfNIlqTVvFygu6roJ6dm4ptQNFShWKzBOtXnWr33q+6ELjpKE7idVQLa32n4o8JB8otvX3ylJiSzhSgw+POm3Vnkz629D2oLYQxUUh1lQJZ+zlsC0wK33lP7zR21XxFLETWLVYBw2HJsGYcQ++UcrMrhXbBInQC/XFAeVT3CB5O1zSCaQlMwJ92CB0OY4m2hafSw1pY2zP0mdRWhAhUbbMPCdx8KfaOaj144KhuAYtHV3CV5nAxVhKabt+K4IrhrOtjjksPMqJszZgABNHytc6Iv8nyQ7rqIAdLh8Trd21QA4b+sqWZGOLni8mRAw6QKg0inTPyEfEutOPIzfytuGdXSwfeKaqdCeJgaNw46x1ZjASLL10Rhsbh0VkBTMIFb5J64WQYPjC6joKVRlJ/kQOkTW/CisA8afDq9Jhys83Gax/p0HQm/X8izFl3+aakiw+/UAgKp7d8tFlrR500FIqIK01aaKmoB8pxE8dG9WyF84ULJDQGxSvrQpVmDhccYAIu4oOdQMJG+hzne+ZNNqJ699wZcjrE8f2/l0a45swSYgim4p9xjXAO/8aIB1+U/W5W1Q/Za3jqPqnYad4PbGe5pl3odPwlAlwa/eRD5Nq1qb3+rMZewMrfD1zUu0f2GyZve2zQB7xj7CQEdHy/lEcGC0alQlFmAW+Yt857jr8EYgK2ag1dqvgB1YMK3ObYVMLv61oYTiW9fOary2KuT7hi0CU41MkFbfMu6jIkJzEPdqQSBRry7IYPREBzYBbvFTR0KewfbvsPVsher1r4xE+IJ8MBs2csI5wvQ4e5E2bMqw48qva5xTR4S0M4DSi41l/6UY8jfidhCvT6jh1P5gj6qkO2x1GYjCkyRW+Se8x7jFhZc2kfbBlvxYYTCtIqOEJEds5fgce1ZQWMhopXZlY8NtQYRxxRQuEuCTsqqxWJbHB/iK9CsSMbzri4nuSpZxbAAbAzdNjTAk1yLYB0wBFUXGFSc7rfelVuhIQIN1u0VfI0A8sWvFsUL8pxFpboO645MoMJeSnDosgCi/XDb8McTdIs8p1xj/q9riIiMqwCyc9ldUwcU/1ixuITHIEliQKKWye0An7pQizp3AWJCMFHMP1fYzpLkQWPYXlbWXbv7gsmV0j+AwsMML0tTblC1WO56ObTxOTF4XoPvec1L3zya5zaE6XabTlymKyIeyfteO/OMwhIcq2lg1w2L3iKUbg7Sn4niOc4gxNabDPK13t6qKRjTuntzq1MNMJMQBkNIyHORtJkk60tp31nkTZeWqFjJ+Kt9vzuV+k3Mo+pLfi/1iWNcgmvA39wQpqTx/VDlekuY0ZavJSJmivXQZvP1jAUQCO3UZDXqwh7+CMac1+CnzFuuB+xdTI0ct4jMh3TXYrrq9xUuNMGyjDYMz4THK/mZMmtqIxSohzb1czlUyrUSGcRToZTfph/KW3SItrSmEiUQEjsSKp2xJE3R4ZzlDfVIos6ZoKaOBzaW/EfxBg4Q7HhSXf13DVwiQgwmAWyVBuJIphQsxHuP8zCK7HK2x64ApowcDjFo0FWVQIn2QkUlKhI8CdeY95RbZIqMev7fqbz3I+8Lyr9/UwkWZJP+wyhvyPhEpE/RuA39o5D3bywcZ+AOvsZ4jDEH5hgTGLO+qBy5AL9cc+T0Wy9x1VCq64Mv9PNbQhqha0aE7sn3lHvKfeEagjEwRsOWtP5h02EVhbhPiPxb65VaAushS53itUjNg8ESL0W76S+J7VUgFd06re4K4LwIy1w7UCw+9wFoKU6GEHRlZwk+qD6QO8AK+li8XX5koghe4v6TinUHGdyIwzIH82OwXOMGHhgTImDnaUGDxWJFkZgWTxKWbYXpLshTywlPixd6ILfY2whE1hFCE5gqVVOmiIBBwz2QjqIPbXKqp9o90tP3zHu2m3x1j+ONTDEk8y1VqSPpXS5HpmaDJb+wIIF01oY16kmT1NMD3VVvLqdNEIqNZDq5Eoc2xUhSlsiw2zpnjFvF1of8C3tPkeLFTBezjPEA/TVoDhljDEXHqVe8VJmxI6LXm0z7LEQTbBduuCNGCtbyeOsNJjCBe87nnPcc87J3ivxbzH947xNJYfE2lS9/f+9E7Q5Li/9mItRrqpLN3ARLX/P5Hy+s+6SZ5RoXYAf/fZNNt3Ikl7+7Yb2/CNYivwbhiQiEQRDILfKc82uOxxwPgb5HlQBGsUB1HYI+3k5SbM6zrVnIhl1VqzPa/AgozQkVvfGqumpQTJm5y9EzYTAGAOh65WpWOGfjHEUfYgKfY2R7i+dgitMJgCAV9qYh3pxgw+N2Pa1U0FocngFnXnQo+ROogMbgS+iy8100d8cl7GKmONJw8bxcf/eyXoqFWbU7RbBeSLNJGCCgKfN5j6+L/7quv6ZcQ7dgxqIpywxHKkCXKdccWrDLDlskduemNFbmuuNZ6Op9cBatX2O/YLxCuCtmO5zNliw1+JdKZTMei20qmMLeMa/vT+R4iTVge6ABYYzBBBYxHeFqeKsJqHF9fBrRh5TL4Mtag7okMNEAq93S9wwMpkE8fA6+nmQVnfXnXd6wcpYLNgi18TBxNWbM/M0cIIiEcEOe837c9Lz+uv/CX4LRhcYl5VjemOEFLhxsLR+vnuhcPm4Sliug2Njt7nDBM/GzGMi1J2mxzA/q9C+5BfFD5NrGiqWOd5346P5zMaPlC2muupymqeOS7+gs5P1qXtl4eyiPqin7zbAJablBz5vvx33Px61vmXeL813XD99vOOkgWLx94rSOmzkDlqdy7rA26uHbYLKFAL4eBmUvTjR3ArFr35wJHmB6rjR30QE1sF3J2qQ2RwTIxTkxY9zn9CsngphBDNK5nXFd44ExhS6Qv2B0T6GVoX8DDSO2KMSUHjSqCnivgXfRV/WGN4tls/QNz36CbA3IajyemZHequOdYscTVbl5cugWjsy+TRXgyscI6QOPeLXrRIPzoVosIj2AFv4OG7i7HrW6Uym2DSCmqR20c4F9Ea7OJnDsS+SlV15ZIB93fCGCkSQIyOmzEVxZzPG4263r4gvjkuu6aAhGnPJIMY9ZBqlkhQ795robaulH6U5gLNos1s4922norPKDIn4/NfiC9rUsftCRXGDaDxtLoSOHwRHHVTsRoMoao8SM3zYRA9JmeGKm500F1WItbhyLrtPe79qJqEE7GbHFGM0bvqBmcRrbPTHgmQt7NwgfrbOCZZMqq/7vLmfR/NNeNXbjz+v7s6JGq6rQbxuC3yj/H7SFOndir+O6AAAAAElFTkSuQmCC\n",
"text/plain": [
""
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"example['image'].resize((200, 200))"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "WMH8dh9w7I86"
},
"source": [
"Let's print the corresponding label:"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"execution": {
"iopub.execute_input": "2023-06-21T21:46:26.671154Z",
"iopub.status.busy": "2023-06-21T21:46:26.670909Z",
"iopub.status.idle": "2023-06-21T21:46:26.675288Z",
"shell.execute_reply": "2023-06-21T21:46:26.674714Z",
"shell.execute_reply.started": "2023-06-21T21:46:26.671134Z"
},
"id": "XFYtvw4I7KS2",
"outputId": "6dc38e86-379e-4941-b220-d2dffb45aca6"
},
"outputs": [
{
"data": {
"text/plain": [
"0"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"example['label']"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "f8GpxwfnJCkF"
},
"source": [
"As you can see, the `label` field is not an actual string label. By default the `ClassLabel` fields are encoded into integers for convenience:"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"execution": {
"iopub.execute_input": "2023-06-21T21:46:29.286342Z",
"iopub.status.busy": "2023-06-21T21:46:29.286104Z",
"iopub.status.idle": "2023-06-21T21:46:29.290512Z",
"shell.execute_reply": "2023-06-21T21:46:29.289954Z",
"shell.execute_reply.started": "2023-06-21T21:46:29.286322Z"
},
"id": "n33LZz_ZMU3o",
"outputId": "746f63c0-39f1-4699-f753-23bf6f394414"
},
"outputs": [
{
"data": {
"text/plain": [
"ClassLabel(names=['AnnualCrop', 'Forest', 'HerbaceousVegetation', 'Highway', 'Industrial', 'Pasture', 'PermanentCrop', 'Residential', 'River', 'SeaLake'], id=None)"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"dataset[\"train\"].features[\"label\"]"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "5LdpDtScLgeD"
},
"source": [
"Let's create an `id2label` dictionary to decode them back to strings and see what they are. The inverse `label2id` will be useful too, when we load the model later."
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 35
},
"execution": {
"iopub.execute_input": "2023-06-21T21:46:36.144524Z",
"iopub.status.busy": "2023-06-21T21:46:36.144257Z",
"iopub.status.idle": "2023-06-21T21:46:36.149902Z",
"shell.execute_reply": "2023-06-21T21:46:36.149336Z",
"shell.execute_reply.started": "2023-06-21T21:46:36.144503Z"
},
"id": "UuyXDtQqNUZW",
"outputId": "f2c77233-7258-4ba1-d49b-d15d666ba8b4"
},
"outputs": [
{
"data": {
"text/plain": [
"'HerbaceousVegetation'"
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"labels = dataset[\"train\"].features[\"label\"].names\n",
"label2id, id2label = dict(), dict()\n",
"for i, label in enumerate(labels):\n",
" label2id[label] = i\n",
" id2label[i] = label\n",
"\n",
"id2label[2]"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "4zxoikSOjs0K"
},
"source": [
"### Preprocessing the data"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "WTupOU88p1lK"
},
"source": [
"Before we can feed these images to our model, we need to preprocess them. \n",
"\n",
"Preprocessing images typically comes down to (1) resizing them to a particular size (2) normalizing the color channels (R,G,B) using a mean and standard deviation. These are referred to as **image transformations**.\n",
"\n",
"In addition, one typically performs what is called **data augmentation** during training (like random cropping and flipping) to make the model more robust and achieve higher accuracy. Data augmentation is also a great technique to increase the size of the training data.\n",
"\n",
"We will use `torchvision.transforms` for the image transformations/data augmentation in this tutorial, but note that one can use any other package (like [albumentations](https://albumentations.ai/), [imgaug](https://github.com/aleju/imgaug), [Kornia](https://kornia.readthedocs.io/en/latest/) etc.).\n",
"\n",
"To make sure we (1) resize to the appropriate size (2) use the appropriate image mean and standard deviation for the model architecture we are going to use, we instantiate what is called a feature extractor with the `AutoFeatureExtractor.from_pretrained` method.\n",
"\n",
"This feature extractor is a minimal preprocessor that can be used to prepare images for inference."
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 352,
"referenced_widgets": [
"fffb14323cbb485fbc251377f0df82be",
"a99c93dcd98943aa9af6d6ae9cacb342",
"36cb688ec8c048b9b67feeb978d1ae7e",
"db6d4fa6175348ba9cb7e12d755c1b70",
"153ac1ceef154fb1a7d080fb4b00ca67",
"d70e71438f0945319eec5f2eedf804e5",
"1a13206aae6346cfb744f0edca13dfae",
"41556a6c7cf545ac9355482538ac814a",
"7ce25ef57ec94306a781b46074f137fe",
"822db9328a764186b4c71dc3a0788025",
"2ff8584bc3ba4faa8dd305b4aa4e1023"
]
},
"execution": {
"iopub.execute_input": "2023-06-21T21:46:43.675847Z",
"iopub.status.busy": "2023-06-21T21:46:43.675596Z",
"iopub.status.idle": "2023-06-21T21:46:48.142893Z",
"shell.execute_reply": "2023-06-21T21:46:48.142374Z",
"shell.execute_reply.started": "2023-06-21T21:46:43.675828Z"
},
"id": "G1bX4lGAO_d9",
"outputId": "004fa57f-dd57-47d1-f1f6-a98e6adba377"
},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "7fc5d729a6f34f3e88fd0cd3531fb917",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"Downloading (…)rocessor_config.json: 0%| | 0.00/244 [00:00,\n",
" 'label': 7,\n",
" 'pixel_values': tensor([[[-0.3540, -0.3540, -0.3540, ..., -0.8677, -0.8677, -0.8677],\n",
" [-0.3540, -0.3540, -0.3540, ..., -0.8677, -0.8677, -0.8677],\n",
" [-0.3540, -0.3540, -0.3540, ..., -0.8677, -0.8677, -0.8677],\n",
" ...,\n",
" [ 0.7417, 0.7417, 0.7417, ..., -0.0116, -0.0116, -0.0116],\n",
" [ 0.7417, 0.7417, 0.7417, ..., -0.0116, -0.0116, -0.0116],\n",
" [ 0.7417, 0.7417, 0.7417, ..., -0.0116, -0.0116, -0.0116]],\n",
" \n",
" [[-0.3726, -0.3726, -0.3726, ..., -0.6001, -0.6001, -0.6001],\n",
" [-0.3726, -0.3726, -0.3726, ..., -0.6001, -0.6001, -0.6001],\n",
" [-0.3726, -0.3726, -0.3726, ..., -0.6001, -0.6001, -0.6001],\n",
" ...,\n",
" [ 0.8179, 0.8179, 0.8179, ..., -0.0399, -0.0399, -0.0399],\n",
" [ 0.8179, 0.8179, 0.8179, ..., -0.0399, -0.0399, -0.0399],\n",
" [ 0.8179, 0.8179, 0.8179, ..., -0.0399, -0.0399, -0.0399]],\n",
" \n",
" [[-0.2009, -0.2009, -0.2009, ..., -0.2881, -0.2881, -0.2881],\n",
" [-0.2009, -0.2009, -0.2009, ..., -0.2881, -0.2881, -0.2881],\n",
" [-0.2009, -0.2009, -0.2009, ..., -0.2881, -0.2881, -0.2881],\n",
" ...,\n",
" [ 0.9844, 0.9844, 0.9844, ..., 0.2000, 0.2000, 0.2000],\n",
" [ 0.9844, 0.9844, 0.9844, ..., 0.2000, 0.2000, 0.2000],\n",
" [ 0.9844, 0.9844, 0.9844, ..., 0.2000, 0.2000, 0.2000]]],\n",
" dtype=torch.float16)}"
]
},
"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"train_ds[0]"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "HOXmyPQ76Qv9"
},
"source": [
"### Training the model"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "0a-2YT7O6ayC"
},
"source": [
"Now that our data is ready, we can download the pretrained model and fine-tune it. For classification we use the `AutoModelForImageClassification` class. Calling the `from_pretrained` method on it will download and cache the weights for us. As the label ids and the number of labels are dataset dependent, we pass `label2id`, and `id2label` alongside the `model_checkpoint` here. This will make sure a custom classification head will be created (with a custom number of output neurons).\n",
"\n",
"NOTE: in case you're planning to fine-tune an already fine-tuned checkpoint, like [facebook/convnext-tiny-224](https://huggingface.co/facebook/convnext-tiny-224) (which has already been fine-tuned on ImageNet-1k), then you need to provide the additional argument `ignore_mismatched_sizes=True` to the `from_pretrained` method. This will make sure the output head (with 1000 output neurons) is thrown away and replaced by a new, randomly initialized classification head that includes a custom number of output neurons. You don't need to specify this argument in case the pre-trained model doesn't include a head. "
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 208,
"referenced_widgets": [
"4dbffab93ea2497fa5e7d4a710230034",
"2cd78732f3114043aab3b2c3b4216a18",
"de3ae0562d2344dd9e2055015e160a2c",
"d74498ae614e412bbb47f33a830be7ba",
"cdd3559a361e469bb26501c272e563ba",
"45b2401d4c2042eeaa566aecaab3bd8f",
"a688efdb9d114f4c91cac8a70f7322b0",
"5830dd2340a64f1a874332b0b1e32ec7",
"1ec40e8e33474dcb85bbf394eefc1b56",
"e1f9aa53a0d4470a98206fb0322730b3",
"c94af069c1674edf9b372c350d9b9c51",
"fe0a9c76f4de441d9bd8de7394ffbcda",
"21aa0de2c357460c926cd51ef2706ab1",
"35274b3dd11c4d7ebe7912d04b706ebe",
"76fde2f98f774466bb826c5cc3f90657",
"edc7e95a57304afa9fb626e23e334e7b",
"29c5dda2d3464ab0b6e3f5667dab9185",
"d8fbaac013d24e0b9be1d0969bede5c1",
"a721cfb1ad374676b542167485d7f462",
"d7c49b2687b647a882348bd671ac8045",
"01c63ad383b44a238cb7d931bdbc426e",
"0e2c6500a66e42b19df8306e84229b14"
]
},
"execution": {
"iopub.execute_input": "2023-06-21T21:48:01.860908Z",
"iopub.status.busy": "2023-06-21T21:48:01.860657Z",
"iopub.status.idle": "2023-06-21T21:48:12.951603Z",
"shell.execute_reply": "2023-06-21T21:48:12.950878Z",
"shell.execute_reply.started": "2023-06-21T21:48:01.860888Z"
},
"id": "X9DDujL0q1ac",
"outputId": "8328aab3-ff64-4dc7-d395-eaaa746fd0fa"
},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "96273437fe7e4675abd8c79622e36776",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"Downloading (…)lve/main/config.json: 0%| | 0.00/454 [00:00 IPU 0\n",
"Encoder 0 --> IPU 0\n",
"Encoder 1 --> IPU 0\n",
"Encoder 2 --> IPU 0\n",
"Encoder 3 --> IPU 1\n",
"Encoder 4 --> IPU 1\n",
"Encoder 5 --> IPU 1\n",
"Encoder 6 --> IPU 2\n",
"Encoder 7 --> IPU 2\n",
"Encoder 8 --> IPU 2\n",
"Encoder 9 --> IPU 3\n",
"Encoder 10 --> IPU 3\n",
"Encoder 11 --> IPU 3\n",
"Head --> IPU 3\n",
"---------------------------------------\n"
]
}
],
"source": [
"trainer = IPUTrainer(\n",
" model,\n",
" ipu_config,\n",
" args,\n",
" train_dataset=train_ds,\n",
" eval_dataset=val_ds,\n",
" tokenizer=feature_extractor,\n",
" compute_metrics=compute_metrics,\n",
" data_collator=collate_fn,\n",
")"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "ltokP9mO9pjI"
},
"source": [
"You might wonder why we pass along the `feature_extractor` as a tokenizer when we already preprocessed our data. This is only to make sure the feature extractor configuration file (stored as JSON) will also be uploaded to the repo on the hub."
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "9j6VNsGP97LG"
},
"source": [
"Now we can finetune our model by calling the `train` method:"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "Vyb-58x_-A0e"
},
"source": [
"We can check with the `evaluate` method that our `IPUTrainer` did reload the best model properly (if it was not the last one):"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 1000,
"referenced_widgets": [
"398c087633254bcaaf781aa57e982dd6",
"f200c07beda8456a92e897ee00b5fde5",
"1f66f9bb6f374902ac87747b55fdede6",
"fb8b8971f3714b16ac699a0bb9435dae",
"b14bfd13a6294a9cb6f8226d43b2ba3d",
"1de73b85fab34677b26258cf81b1f12f",
"5ad22e5e6c7c464c8ac943b9730954a1",
"dfe11154745547058a1158a2e8c7d620",
"950d18b052794bdd85e9981dba17d253",
"a98957fcd9204fdc83a14bb710da2fd8",
"6da1bfe89c754d74868af73bff068ebb",
"898560cd6bca49d7bbc530070737e348",
"cb6c133b4a524edd98b35f43d4feef0e",
"85aa3489e82442d38d387e9a1df8d920",
"51b8c526e3594d3cac19c923160d082c",
"0f5ce894e0ee47c6af02f709256ac641",
"56ec636f14e749e1abc2d910c4ee08d7",
"97d07155fabd42e580e130b4f1b50bff",
"9d3a80f84461463da2d7135da04d0b8d",
"dd7bebb0ca9c473aab467b9c22105bf8",
"536f6919a19d435e9f19055eacdf143e",
"111d49a2cbd142b79d50252805c79285"
]
},
"execution": {
"iopub.execute_input": "2023-06-21T21:49:18.046933Z",
"iopub.status.busy": "2023-06-21T21:49:18.046683Z",
"iopub.status.idle": "2023-06-21T22:03:37.339327Z",
"shell.execute_reply": "2023-06-21T22:03:37.338609Z",
"shell.execute_reply.started": "2023-06-21T21:49:18.046913Z"
},
"id": "Pps61vF_4QaH",
"outputId": "b79a2940-d366-49f6-ec9c-d4b862485777"
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"---------- Device Allocation -----------\n",
"Embedding --> IPU 0\n",
"Encoder 0 --> IPU 0\n",
"Encoder 1 --> IPU 0\n",
"Encoder 2 --> IPU 0\n",
"Encoder 3 --> IPU 1\n",
"Encoder 4 --> IPU 1\n",
"Encoder 5 --> IPU 1\n",
"Encoder 6 --> IPU 2\n",
"Encoder 7 --> IPU 2\n",
"Encoder 8 --> IPU 2\n",
"Encoder 9 --> IPU 3\n",
"Encoder 10 --> IPU 3\n",
"Encoder 11 --> IPU 3\n",
"Head --> IPU 3\n",
"---------------------------------------\n",
"Compiling Model...\n",
"Graph compilation: 100%|██████████| 100/100 [02:51<00:00]\n",
"Compiled/Loaded model in 190.77900232188404 secs\n",
"***** Running training *****\n",
" Num examples = 24300\n",
" Num epochs = 3\n",
" Instantaneous batch size per device = 1\n",
" Total training batch size (w. parallel, distributed & accumulation) = 32\n",
" Gradient accumulation steps = 32\n",
" Total optimization steps = 2277\n"
]
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "d59f38b6028f40048351b8b9c2d1a342",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
" 0%| | 0/2277 [00:00 IPU 0\n",
"Encoder 0 --> IPU 0\n",
"Encoder 1 --> IPU 0\n",
"Encoder 2 --> IPU 0\n",
"Encoder 3 --> IPU 1\n",
"Encoder 4 --> IPU 1\n",
"Encoder 5 --> IPU 1\n",
"Encoder 6 --> IPU 2\n",
"Encoder 7 --> IPU 2\n",
"Encoder 8 --> IPU 2\n",
"Encoder 9 --> IPU 3\n",
"Encoder 10 --> IPU 3\n",
"Encoder 11 --> IPU 3\n",
"Head --> IPU 3\n",
"---------------------------------------\n",
"Compiling Model...\n",
"/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py:1432: UserWarning: Positional args are being deprecated, use kwargs instead. Refer to https://pytorch.org/docs/master/generated/torch.nn.Module.html#torch.nn.Module.state_dict for details.\n",
" warnings.warn(\n",
"\n",
"Graph compilation: 0%| | 0/100 [00:00 IPU 0\n",
"Encoder 0 --> IPU 0\n",
"Encoder 1 --> IPU 0\n",
"Encoder 2 --> IPU 0\n",
"Encoder 3 --> IPU 1\n",
"Encoder 4 --> IPU 1\n",
"Encoder 5 --> IPU 1\n",
"Encoder 6 --> IPU 2\n",
"Encoder 7 --> IPU 2\n",
"Encoder 8 --> IPU 2\n",
"Encoder 9 --> IPU 3\n",
"Encoder 10 --> IPU 3\n",
"Encoder 11 --> IPU 3\n",
"Head --> IPU 3\n",
"---------------------------------------\n",
"Configuration saved in dino-vitb16-finetuned-eurosat/checkpoint-759/ipu_config.json\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'loss': 0.284, 'learning_rate': 3.7018057589067836e-05, 'epoch': 1.0}\n",
"{'loss': 0.5954, 'learning_rate': 3.677403611517814e-05, 'epoch': 1.01}\n",
"{'loss': 0.1578, 'learning_rate': 3.653001464128844e-05, 'epoch': 1.03}\n",
"{'loss': 0.1086, 'learning_rate': 3.6285993167398734e-05, 'epoch': 1.04}\n",
"{'loss': 0.3738, 'learning_rate': 3.604197169350903e-05, 'epoch': 1.05}\n",
"{'loss': 0.706, 'learning_rate': 3.579795021961933e-05, 'epoch': 1.07}\n",
"{'loss': 0.0117, 'learning_rate': 3.5553928745729625e-05, 'epoch': 1.08}\n",
"{'loss': 0.437, 'learning_rate': 3.530990727183993e-05, 'epoch': 1.09}\n",
"{'loss': 0.0256, 'learning_rate': 3.506588579795022e-05, 'epoch': 1.11}\n",
"{'loss': 0.0354, 'learning_rate': 3.482186432406052e-05, 'epoch': 1.12}\n",
"{'loss': 0.1272, 'learning_rate': 3.457784285017082e-05, 'epoch': 1.13}\n",
"{'loss': 0.1534, 'learning_rate': 3.4333821376281116e-05, 'epoch': 1.15}\n",
"{'loss': 0.141, 'learning_rate': 3.408979990239141e-05, 'epoch': 1.16}\n",
"{'loss': 0.3695, 'learning_rate': 3.384577842850171e-05, 'epoch': 1.17}\n",
"{'loss': 0.063, 'learning_rate': 3.360175695461201e-05, 'epoch': 1.19}\n",
"{'loss': 0.3299, 'learning_rate': 3.335773548072231e-05, 'epoch': 1.2}\n",
"{'loss': 1.3188, 'learning_rate': 3.31137140068326e-05, 'epoch': 1.21}\n",
"{'loss': 0.1955, 'learning_rate': 3.2869692532942905e-05, 'epoch': 1.23}\n",
"{'loss': 0.0451, 'learning_rate': 3.2625671059053195e-05, 'epoch': 1.24}\n",
"{'loss': 0.0157, 'learning_rate': 3.23816495851635e-05, 'epoch': 1.25}\n",
"{'loss': 0.0039, 'learning_rate': 3.2137628111273795e-05, 'epoch': 1.26}\n",
"{'loss': 0.5664, 'learning_rate': 3.189360663738409e-05, 'epoch': 1.28}\n",
"{'loss': 0.0365, 'learning_rate': 3.164958516349439e-05, 'epoch': 1.29}\n",
"{'loss': 0.0669, 'learning_rate': 3.1405563689604686e-05, 'epoch': 1.3}\n",
"{'loss': 0.1179, 'learning_rate': 3.116154221571498e-05, 'epoch': 1.32}\n",
"{'loss': 0.0292, 'learning_rate': 3.091752074182529e-05, 'epoch': 1.33}\n",
"{'loss': 0.8699, 'learning_rate': 3.067349926793558e-05, 'epoch': 1.34}\n",
"{'loss': 0.1167, 'learning_rate': 3.042947779404588e-05, 'epoch': 1.36}\n",
"{'loss': 0.0252, 'learning_rate': 3.0185456320156174e-05, 'epoch': 1.37}\n",
"{'loss': 0.4331, 'learning_rate': 2.9941434846266475e-05, 'epoch': 1.38}\n",
"{'loss': 0.2691, 'learning_rate': 2.969741337237677e-05, 'epoch': 1.4}\n",
"{'loss': 0.439, 'learning_rate': 2.9453391898487072e-05, 'epoch': 1.41}\n",
"{'loss': 0.0897, 'learning_rate': 2.9209370424597365e-05, 'epoch': 1.42}\n",
"{'loss': 0.0777, 'learning_rate': 2.8965348950707666e-05, 'epoch': 1.44}\n",
"{'loss': 0.0182, 'learning_rate': 2.872132747681796e-05, 'epoch': 1.45}\n",
"{'loss': 0.0574, 'learning_rate': 2.847730600292826e-05, 'epoch': 1.46}\n",
"{'loss': 0.121, 'learning_rate': 2.8233284529038557e-05, 'epoch': 1.48}\n",
"{'loss': 0.0346, 'learning_rate': 2.7989263055148857e-05, 'epoch': 1.49}\n",
"{'loss': 0.3566, 'learning_rate': 2.774524158125915e-05, 'epoch': 1.5}\n",
"{'loss': 0.0025, 'learning_rate': 2.750122010736945e-05, 'epoch': 1.52}\n",
"{'loss': 0.004, 'learning_rate': 2.7257198633479748e-05, 'epoch': 1.53}\n",
"{'loss': 0.0262, 'learning_rate': 2.7013177159590048e-05, 'epoch': 1.54}\n",
"{'loss': 0.052, 'learning_rate': 2.676915568570034e-05, 'epoch': 1.55}\n",
"{'loss': 0.2563, 'learning_rate': 2.6525134211810642e-05, 'epoch': 1.57}\n",
"{'loss': 0.0272, 'learning_rate': 2.628111273792094e-05, 'epoch': 1.58}\n",
"{'loss': 0.1184, 'learning_rate': 2.603709126403124e-05, 'epoch': 1.59}\n",
"{'loss': 0.0694, 'learning_rate': 2.5793069790141533e-05, 'epoch': 1.61}\n",
"{'loss': 0.3049, 'learning_rate': 2.5549048316251833e-05, 'epoch': 1.62}\n",
"{'loss': 0.0017, 'learning_rate': 2.530502684236213e-05, 'epoch': 1.63}\n",
"{'loss': 0.0594, 'learning_rate': 2.506100536847243e-05, 'epoch': 1.65}\n",
"{'loss': 0.0539, 'learning_rate': 2.4816983894582724e-05, 'epoch': 1.66}\n",
"{'loss': 0.3755, 'learning_rate': 2.457296242069302e-05, 'epoch': 1.67}\n",
"{'loss': 0.0933, 'learning_rate': 2.4328940946803318e-05, 'epoch': 1.69}\n",
"{'loss': 0.2458, 'learning_rate': 2.4084919472913618e-05, 'epoch': 1.7}\n",
"{'loss': 0.0495, 'learning_rate': 2.3840897999023915e-05, 'epoch': 1.71}\n",
"{'loss': 0.209, 'learning_rate': 2.3596876525134212e-05, 'epoch': 1.73}\n",
"{'loss': 0.2218, 'learning_rate': 2.335285505124451e-05, 'epoch': 1.74}\n",
"{'loss': 0.0055, 'learning_rate': 2.310883357735481e-05, 'epoch': 1.75}\n",
"{'loss': 0.0084, 'learning_rate': 2.2864812103465106e-05, 'epoch': 1.77}\n",
"{'loss': 0.0125, 'learning_rate': 2.2620790629575403e-05, 'epoch': 1.78}\n",
"{'loss': 0.0084, 'learning_rate': 2.23767691556857e-05, 'epoch': 1.79}\n",
"{'loss': 0.053, 'learning_rate': 2.2132747681795997e-05, 'epoch': 1.81}\n",
"{'loss': 0.0499, 'learning_rate': 2.1888726207906297e-05, 'epoch': 1.82}\n",
"{'loss': 0.4923, 'learning_rate': 2.1644704734016594e-05, 'epoch': 1.83}\n",
"{'loss': 0.0096, 'learning_rate': 2.140068326012689e-05, 'epoch': 1.84}\n",
"{'loss': 0.0222, 'learning_rate': 2.1156661786237188e-05, 'epoch': 1.86}\n",
"{'loss': 0.454, 'learning_rate': 2.0912640312347485e-05, 'epoch': 1.87}\n",
"{'loss': 0.0144, 'learning_rate': 2.0668618838457785e-05, 'epoch': 1.88}\n",
"{'loss': 0.0449, 'learning_rate': 2.0424597364568082e-05, 'epoch': 1.9}\n",
"{'loss': 0.0092, 'learning_rate': 2.018057589067838e-05, 'epoch': 1.91}\n",
"{'loss': 0.0272, 'learning_rate': 1.9936554416788676e-05, 'epoch': 1.92}\n",
"{'loss': 0.0118, 'learning_rate': 1.9692532942898977e-05, 'epoch': 1.94}\n",
"{'loss': 0.1646, 'learning_rate': 1.9448511469009274e-05, 'epoch': 1.95}\n",
"{'loss': 0.004, 'learning_rate': 1.920448999511957e-05, 'epoch': 1.96}\n",
"{'loss': 0.0025, 'learning_rate': 1.8960468521229867e-05, 'epoch': 1.98}\n",
"{'loss': 0.0069, 'learning_rate': 1.8716447047340164e-05, 'epoch': 1.99}\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"***** Running Evaluation *****\n",
" Num examples = 2700\n",
" Batch size = 4\n"
]
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "a6127222b9604a0198b2a37531004202",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
" 0%| | 0/675 [00:00 IPU 0\n",
"Encoder 0 --> IPU 0\n",
"Encoder 1 --> IPU 0\n",
"Encoder 2 --> IPU 0\n",
"Encoder 3 --> IPU 1\n",
"Encoder 4 --> IPU 1\n",
"Encoder 5 --> IPU 1\n",
"Encoder 6 --> IPU 2\n",
"Encoder 7 --> IPU 2\n",
"Encoder 8 --> IPU 2\n",
"Encoder 9 --> IPU 3\n",
"Encoder 10 --> IPU 3\n",
"Encoder 11 --> IPU 3\n",
"Head --> IPU 3\n",
"---------------------------------------\n",
"Configuration saved in dino-vitb16-finetuned-eurosat/checkpoint-1518/ipu_config.json\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'loss': 0.0095, 'learning_rate': 1.8472425573450465e-05, 'epoch': 2.0}\n",
"{'loss': 0.0113, 'learning_rate': 1.822840409956076e-05, 'epoch': 2.02}\n",
"{'loss': 0.0405, 'learning_rate': 1.798438262567106e-05, 'epoch': 2.03}\n",
"{'loss': 0.0149, 'learning_rate': 1.7740361151781356e-05, 'epoch': 2.04}\n",
"{'loss': 0.0025, 'learning_rate': 1.7496339677891656e-05, 'epoch': 2.06}\n",
"{'loss': 0.0019, 'learning_rate': 1.7252318204001953e-05, 'epoch': 2.07}\n",
"{'loss': 0.0112, 'learning_rate': 1.700829673011225e-05, 'epoch': 2.08}\n",
"{'loss': 0.0009, 'learning_rate': 1.6764275256222547e-05, 'epoch': 2.09}\n",
"{'loss': 0.0125, 'learning_rate': 1.6520253782332844e-05, 'epoch': 2.11}\n",
"{'loss': 0.1069, 'learning_rate': 1.6276232308443144e-05, 'epoch': 2.12}\n",
"{'loss': 0.0164, 'learning_rate': 1.603221083455344e-05, 'epoch': 2.13}\n",
"{'loss': 0.4969, 'learning_rate': 1.5788189360663738e-05, 'epoch': 2.15}\n",
"{'loss': 0.0009, 'learning_rate': 1.5544167886774035e-05, 'epoch': 2.16}\n",
"{'loss': 0.4128, 'learning_rate': 1.5300146412884335e-05, 'epoch': 2.17}\n",
"{'loss': 0.0497, 'learning_rate': 1.5056124938994632e-05, 'epoch': 2.19}\n",
"{'loss': 0.0191, 'learning_rate': 1.4812103465104929e-05, 'epoch': 2.2}\n",
"{'loss': 0.0604, 'learning_rate': 1.4568081991215226e-05, 'epoch': 2.21}\n",
"{'loss': 0.0019, 'learning_rate': 1.4324060517325525e-05, 'epoch': 2.23}\n",
"{'loss': 0.0103, 'learning_rate': 1.4080039043435821e-05, 'epoch': 2.24}\n",
"{'loss': 0.1491, 'learning_rate': 1.383601756954612e-05, 'epoch': 2.25}\n",
"{'loss': 0.126, 'learning_rate': 1.3591996095656417e-05, 'epoch': 2.27}\n",
"{'loss': 0.0017, 'learning_rate': 1.3347974621766716e-05, 'epoch': 2.28}\n",
"{'loss': 0.0688, 'learning_rate': 1.3103953147877013e-05, 'epoch': 2.29}\n",
"{'loss': 0.5311, 'learning_rate': 1.2859931673987311e-05, 'epoch': 2.31}\n",
"{'loss': 0.0221, 'learning_rate': 1.2615910200097608e-05, 'epoch': 2.32}\n",
"{'loss': 0.0008, 'learning_rate': 1.2371888726207907e-05, 'epoch': 2.33}\n",
"{'loss': 0.0716, 'learning_rate': 1.2127867252318205e-05, 'epoch': 2.35}\n",
"{'loss': 0.0212, 'learning_rate': 1.1883845778428502e-05, 'epoch': 2.36}\n",
"{'loss': 0.0884, 'learning_rate': 1.1639824304538801e-05, 'epoch': 2.37}\n",
"{'loss': 0.29, 'learning_rate': 1.1395802830649098e-05, 'epoch': 2.38}\n",
"{'loss': 0.0661, 'learning_rate': 1.1151781356759395e-05, 'epoch': 2.4}\n",
"{'loss': 0.0484, 'learning_rate': 1.0907759882869694e-05, 'epoch': 2.41}\n",
"{'loss': 0.0037, 'learning_rate': 1.066373840897999e-05, 'epoch': 2.42}\n",
"{'loss': 0.0518, 'learning_rate': 1.0419716935090289e-05, 'epoch': 2.44}\n",
"{'loss': 0.0135, 'learning_rate': 1.0175695461200586e-05, 'epoch': 2.45}\n",
"{'loss': 0.0367, 'learning_rate': 9.931673987310885e-06, 'epoch': 2.46}\n",
"{'loss': 0.0014, 'learning_rate': 9.687652513421182e-06, 'epoch': 2.48}\n",
"{'loss': 0.1721, 'learning_rate': 9.44363103953148e-06, 'epoch': 2.49}\n",
"{'loss': 0.0449, 'learning_rate': 9.199609565641777e-06, 'epoch': 2.5}\n",
"{'loss': 0.0866, 'learning_rate': 8.955588091752074e-06, 'epoch': 2.52}\n",
"{'loss': 0.3806, 'learning_rate': 8.711566617862373e-06, 'epoch': 2.53}\n",
"{'loss': 0.1476, 'learning_rate': 8.46754514397267e-06, 'epoch': 2.54}\n",
"{'loss': 0.0051, 'learning_rate': 8.223523670082968e-06, 'epoch': 2.56}\n",
"{'loss': 0.0432, 'learning_rate': 7.979502196193265e-06, 'epoch': 2.57}\n",
"{'loss': 0.004, 'learning_rate': 7.735480722303564e-06, 'epoch': 2.58}\n",
"{'loss': 0.0016, 'learning_rate': 7.491459248413861e-06, 'epoch': 2.6}\n",
"{'loss': 0.0625, 'learning_rate': 7.247437774524159e-06, 'epoch': 2.61}\n",
"{'loss': 0.1507, 'learning_rate': 7.0034163006344565e-06, 'epoch': 2.62}\n",
"{'loss': 0.0139, 'learning_rate': 6.759394826744754e-06, 'epoch': 2.64}\n",
"{'loss': 0.0221, 'learning_rate': 6.515373352855052e-06, 'epoch': 2.65}\n",
"{'loss': 0.2231, 'learning_rate': 6.27135187896535e-06, 'epoch': 2.66}\n",
"{'loss': 0.0246, 'learning_rate': 6.027330405075647e-06, 'epoch': 2.67}\n",
"{'loss': 0.0793, 'learning_rate': 5.7833089311859446e-06, 'epoch': 2.69}\n",
"{'loss': 0.002, 'learning_rate': 5.539287457296242e-06, 'epoch': 2.7}\n",
"{'loss': 0.0631, 'learning_rate': 5.29526598340654e-06, 'epoch': 2.71}\n",
"{'loss': 0.0036, 'learning_rate': 5.051244509516838e-06, 'epoch': 2.73}\n",
"{'loss': 0.0039, 'learning_rate': 4.807223035627136e-06, 'epoch': 2.74}\n",
"{'loss': 0.9095, 'learning_rate': 4.5632015617374335e-06, 'epoch': 2.75}\n",
"{'loss': 0.0093, 'learning_rate': 4.319180087847731e-06, 'epoch': 2.77}\n",
"{'loss': 0.0172, 'learning_rate': 4.075158613958028e-06, 'epoch': 2.78}\n",
"{'loss': 0.029, 'learning_rate': 3.831137140068326e-06, 'epoch': 2.79}\n",
"{'loss': 0.0178, 'learning_rate': 3.587115666178624e-06, 'epoch': 2.81}\n",
"{'loss': 0.0191, 'learning_rate': 3.3430941922889216e-06, 'epoch': 2.82}\n",
"{'loss': 0.1394, 'learning_rate': 3.0990727183992194e-06, 'epoch': 2.83}\n",
"{'loss': 0.4847, 'learning_rate': 2.855051244509517e-06, 'epoch': 2.85}\n",
"{'loss': 0.0049, 'learning_rate': 2.611029770619815e-06, 'epoch': 2.86}\n",
"{'loss': 0.0732, 'learning_rate': 2.3670082967301123e-06, 'epoch': 2.87}\n",
"{'loss': 0.0049, 'learning_rate': 2.12298682284041e-06, 'epoch': 2.89}\n",
"{'loss': 0.0026, 'learning_rate': 1.8789653489507079e-06, 'epoch': 2.9}\n",
"{'loss': 0.0003, 'learning_rate': 1.6349438750610055e-06, 'epoch': 2.91}\n",
"{'loss': 0.0075, 'learning_rate': 1.3909224011713032e-06, 'epoch': 2.92}\n",
"{'loss': 0.0219, 'learning_rate': 1.1469009272816008e-06, 'epoch': 2.94}\n",
"{'loss': 0.397, 'learning_rate': 9.028794533918985e-07, 'epoch': 2.95}\n",
"{'loss': 0.0058, 'learning_rate': 6.588579795021963e-07, 'epoch': 2.96}\n",
"{'loss': 0.0017, 'learning_rate': 4.148365056124939e-07, 'epoch': 2.98}\n",
"{'loss': 0.0124, 'learning_rate': 1.7081503172279163e-07, 'epoch': 2.99}\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"***** Running Evaluation *****\n",
" Num examples = 2700\n",
" Batch size = 4\n"
]
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "3d28129a03f944eab9de8bf0487289e1",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
" 0%| | 0/675 [00:00 IPU 0\n",
"Encoder 0 --> IPU 0\n",
"Encoder 1 --> IPU 0\n",
"Encoder 2 --> IPU 0\n",
"Encoder 3 --> IPU 1\n",
"Encoder 4 --> IPU 1\n",
"Encoder 5 --> IPU 1\n",
"Encoder 6 --> IPU 2\n",
"Encoder 7 --> IPU 2\n",
"Encoder 8 --> IPU 2\n",
"Encoder 9 --> IPU 3\n",
"Encoder 10 --> IPU 3\n",
"Encoder 11 --> IPU 3\n",
"Head --> IPU 3\n",
"---------------------------------------\n",
"Configuration saved in dino-vitb16-finetuned-eurosat/checkpoint-2277/ipu_config.json\n",
"\n",
"\n",
"Training completed. Do not forget to share your model on huggingface.co/models =)\n",
"\n",
"\n",
"Loading best model from dino-vitb16-finetuned-eurosat/checkpoint-2277 (score: 0.9885185185185185).\n",
"---------- Device Allocation -----------\n",
"Embedding --> IPU 0\n",
"Encoder 0 --> IPU 0\n",
"Encoder 1 --> IPU 0\n",
"Encoder 2 --> IPU 0\n",
"Encoder 3 --> IPU 1\n",
"Encoder 4 --> IPU 1\n",
"Encoder 5 --> IPU 1\n",
"Encoder 6 --> IPU 2\n",
"Encoder 7 --> IPU 2\n",
"Encoder 8 --> IPU 2\n",
"Encoder 9 --> IPU 3\n",
"Encoder 10 --> IPU 3\n",
"Encoder 11 --> IPU 3\n",
"Head --> IPU 3\n",
"---------------------------------------\n",
"Saving model checkpoint to dino-vitb16-finetuned-eurosat\n",
"/usr/local/lib/python3.8/dist-packages/torch/nn/modules/module.py:1432: UserWarning: Positional args are being deprecated, use kwargs instead. Refer to https://pytorch.org/docs/master/generated/torch.nn.Module.html#torch.nn.Module.state_dict for details.\n",
" warnings.warn(\n",
"---------- Device Allocation -----------\n",
"Embedding --> IPU 0\n",
"Encoder 0 --> IPU 0\n",
"Encoder 1 --> IPU 0\n",
"Encoder 2 --> IPU 0\n",
"Encoder 3 --> IPU 1\n",
"Encoder 4 --> IPU 1\n",
"Encoder 5 --> IPU 1\n",
"Encoder 6 --> IPU 2\n",
"Encoder 7 --> IPU 2\n",
"Encoder 8 --> IPU 2\n",
"Encoder 9 --> IPU 3\n",
"Encoder 10 --> IPU 3\n",
"Encoder 11 --> IPU 3\n",
"Head --> IPU 3\n",
"---------------------------------------\n",
"Configuration saved in dino-vitb16-finetuned-eurosat/ipu_config.json\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'train_runtime': 667.8729, 'train_samples_per_second': 109.099, 'train_steps_per_second': 3.409, 'train_loss': 0.1937883012274875, 'epoch': 3.0}\n",
"***** train metrics *****\n",
" epoch = 3.0\n",
" train_loss = 0.1938\n",
" train_runtime = 0:11:07.87\n",
" train_samples_per_second = 109.099\n",
" train_steps_per_second = 3.409\n"
]
}
],
"source": [
"train_results = trainer.train()\n",
"# rest is optional but nice to have\n",
"trainer.save_model()\n",
"trainer.log_metrics(\"train\", train_results.metrics)\n",
"trainer.save_metrics(\"train\", train_results.metrics)\n",
"trainer.save_state()"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 215
},
"execution": {
"iopub.execute_input": "2023-06-21T22:03:37.340754Z",
"iopub.status.busy": "2023-06-21T22:03:37.340549Z",
"iopub.status.idle": "2023-06-21T22:03:57.193576Z",
"shell.execute_reply": "2023-06-21T22:03:57.192975Z",
"shell.execute_reply.started": "2023-06-21T22:03:37.340735Z"
},
"id": "niniUAnb5IrR",
"outputId": "1adeaf58-d2a9-41f1-d0fe-4db079f48aa0"
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"***** Running Evaluation *****\n",
" Num examples = 2700\n",
" Batch size = 4\n"
]
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "9355c20fd7564cf2aa0975c49babe957",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
" 0%| | 0/675 [00:00"
]
},
"execution_count": 36,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from PIL import Image\n",
"import requests\n",
"\n",
"url = 'https://huggingface.co/nielsr/convnext-tiny-finetuned-eurostat/resolve/main/forest.png'\n",
"image = Image.open(requests.get(url, stream=True).raw)\n",
"image"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "91-Ibh1--oI3"
},
"source": [
"We'll load the feature extractor and model from the hub (here, we use the [Auto Classes](https://huggingface.co/docs/transformers/model_doc/auto#transformers.AutoModelForImageClassification), which will make sure the appropriate classes will be loaded automatically based on the `config.json` and `preprocessor_config.json` files of the repo on the hub). Simply put your Hugging Face user or organization name into the string below to load your fine-tuned model:"
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 1000,
"referenced_widgets": [
"1d7d48efc83942f7af9d6ee079829cf5",
"9e0aef46a23d438dbfe0d38f96594627",
"ae76aad40bf14fb59f600e67626dcd2a",
"0ddaf04b08de467db0d05d1310a061b9",
"9dfc08df9d3c40e2b58b80ded1757877",
"439e99396ea94ded839bd248fedd4336",
"9e99ded657134f558d258ab848ec7ed9",
"970bfe0340214232a20166834b5467a8",
"6b461c460eb543ef8a095b685163a135",
"d11b8b3db3584d289194e55b21e349cd",
"dbf1ac358f1c42f2a3d4ea06855e6f8c",
"2f352e7c41354fad8ff728812e57d710",
"ae47ecc705504c8b970eed5631c3ba70",
"57c389d6ab5b43c2aff368a2ec0eec9d",
"d58f48db2d1a45f68089517e1d3d03fb",
"ecb63e66b3f64471af20595c3b55bc09",
"43c38e2605e64d94b84f38d6ca4e284f",
"4975c51eb23049389da9f1ff892c1906",
"73b4904f115a45e68370570fe6029158",
"1221b9be3dff4f168d04b297d37f59ff",
"9dc83601a17f4fb2a2d3bf68f41612e6",
"f49d1a2f1f4744b9aa348f9ad216a1c9",
"d3ce10fbf95c4ebfb4e735e3f3538c3c",
"729118d4d197413f91e59000ca0fad5b",
"19aaee92700f4f3ab16d9a84f58c9662",
"c90b1c5c9de4463ab7e07ed2b31aa15c",
"8950022cf2be41cfa0fe71cf49d9da99",
"7b904e63e1e64d81a038151aa0255fe9",
"72ae4253f07c4f74a8f78456624451e9",
"af7e3f72f5fe49aa8a9228c3ab9535ab",
"0bb996ac5dc54a65b9c93c090dd236c5",
"579bc0c4df494b68b0a9dd37c9b5faf4",
"8c254fe1a46740e49a6bffc3cbe0713a"
]
},
"execution": {
"iopub.execute_input": "2023-06-21T22:27:20.635383Z",
"iopub.status.busy": "2023-06-21T22:27:20.635127Z",
"iopub.status.idle": "2023-06-21T22:27:21.467112Z",
"shell.execute_reply": "2023-06-21T22:27:21.466035Z",
"shell.execute_reply.started": "2023-06-21T22:27:20.635363Z"
},
"id": "xzwvix8X-st3",
"outputId": "fbfda8b3-0394-4dd9-e96f-5dd886775b69"
},
"outputs": [],
"source": [
"from transformers import AutoModelForImageClassification, AutoFeatureExtractor\n",
"\n",
"repo_name = f\"internetoftim/dino-vitb16-eurosat\"\n",
"\n",
"try:\n",
" # if the model was pushed to the hub it can be downloaded\n",
" feature_extractor = AutoFeatureExtractor.from_pretrained(repo_name)\n",
" model = AutoModelForImageClassification.from_pretrained(repo_name)\n",
"except:\n",
" # otherwise we use the local folder where the model was saved after training\n",
" feature_extractor = AutoFeatureExtractor.from_pretrained(trainer.args.output_dir)\n",
" model = AutoModelForImageClassification.from_pretrained(trainer.args.output_dir)"
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"execution": {
"iopub.execute_input": "2023-06-21T22:27:28.234063Z",
"iopub.status.busy": "2023-06-21T22:27:28.233800Z",
"iopub.status.idle": "2023-06-21T22:27:28.249773Z",
"shell.execute_reply": "2023-06-21T22:27:28.248892Z",
"shell.execute_reply.started": "2023-06-21T22:27:28.234043Z"
},
"id": "298o50gr-Rwt",
"outputId": "b5f46085-b7c8-4f6b-970e-69a6ad5a9b2d"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"torch.Size([1, 3, 224, 224])\n"
]
}
],
"source": [
"# prepare image for the model\n",
"encoding = feature_extractor(image.convert(\"RGB\"), return_tensors=\"pt\")\n",
"print(encoding.pixel_values.shape)"
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {
"execution": {
"iopub.execute_input": "2023-06-21T22:27:37.158788Z",
"iopub.status.busy": "2023-06-21T22:27:37.158518Z",
"iopub.status.idle": "2023-06-21T22:27:37.445967Z",
"shell.execute_reply": "2023-06-21T22:27:37.445353Z",
"shell.execute_reply.started": "2023-06-21T22:27:37.158768Z"
},
"id": "33E44G86_RtL"
},
"outputs": [],
"source": [
"import torch\n",
"\n",
"# forward pass\n",
"with torch.no_grad():\n",
" outputs = model(**encoding)\n",
" logits = outputs.logits"
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"execution": {
"iopub.execute_input": "2023-06-21T22:27:40.473039Z",
"iopub.status.busy": "2023-06-21T22:27:40.472719Z",
"iopub.status.idle": "2023-06-21T22:27:40.477705Z",
"shell.execute_reply": "2023-06-21T22:27:40.476835Z",
"shell.execute_reply.started": "2023-06-21T22:27:40.473006Z"
},
"id": "4ctUvqfs_Yyn",
"outputId": "74540ee4-c1af-4147-f221-15e213b5a7e8"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Predicted class: HerbaceousVegetation\n"
]
}
],
"source": [
"predicted_class_idx = logits.argmax(-1).item()\n",
"print(\"Predicted class:\", model.config.id2label[predicted_class_idx])"
]
},
{
"cell_type": "code",
"execution_count": 42,
"metadata": {
"execution": {
"iopub.execute_input": "2023-06-21T22:29:12.612092Z",
"iopub.status.busy": "2023-06-21T22:29:12.611833Z",
"iopub.status.idle": "2023-06-21T22:29:12.622463Z",
"shell.execute_reply": "2023-06-21T22:29:12.621607Z",
"shell.execute_reply.started": "2023-06-21T22:29:12.612072Z"
}
},
"outputs": [
{
"ename": "AttributeError",
"evalue": "'IPUTrainer' object has no attribute 'detach'",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mAttributeError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdetach\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
"\u001b[0;31mAttributeError\u001b[0m: 'IPUTrainer' object has no attribute 'detach'"
]
}
],
"source": [
"trainer.detach()\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "N3yJFIIP_k01"
},
"source": [
"Looks like our model got it correct! "
]
}
],
"metadata": {
"accelerator": "GPU",
"colab": {
"collapsed_sections": [],
"name": "image_classification.ipynb",
"provenance": []
},
"kernelspec": {
"display_name": "Python 3",
"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": "3.8.10"
},
"vscode": {
"interpreter": {
"hash": "9409b80169a82c0207afe9a460d7f88a38094a708839df55a31910312ecdb1ee"
}
},
"widgets": {
"application/vnd.jupyter.widget-state+json": {
"01c63ad383b44a238cb7d931bdbc426e": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"0789ac7948dc47af88cbd4306376fa2a": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"07a8dfd811d54c1eaaf8d30df4a15e02": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "FloatProgressModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "FloatProgressModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "ProgressView",
"bar_style": "success",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_4cbb9fa91c7b480e8152248e339da888",
"max": 1,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_4122b532a6674fdebc76dbf4bf064e4d",
"value": 1
}
},
"07aba02933d5483c9db8d523957c26da": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "DescriptionStyleModel",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"0bb996ac5dc54a65b9c93c090dd236c5": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "ProgressStyleModel",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "ProgressStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"bar_color": null,
"description_width": ""
}
},
"0ddaf04b08de467db0d05d1310a061b9": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "HTMLModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_d11b8b3db3584d289194e55b21e349cd",
"placeholder": "",
"style": "IPY_MODEL_dbf1ac358f1c42f2a3d4ea06855e6f8c",
"value": " 240/240 [00:00<00:00, 4.55kB/s]"
}
},
"0e2c6500a66e42b19df8306e84229b14": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "DescriptionStyleModel",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"0eed61f5a8244ad0b7b02fdf2f0bc445": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"0ef55f103c7049ffb072be07cbdc3c55": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "HTMLModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_0eed61f5a8244ad0b7b02fdf2f0bc445",
"placeholder": "",
"style": "IPY_MODEL_07aba02933d5483c9db8d523957c26da",
"value": "Generating train split: "
}
},
"0f5ce894e0ee47c6af02f709256ac641": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"111d49a2cbd142b79d50252805c79285": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "DescriptionStyleModel",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"121d965ef7fb4d2fa4a5ccd17cbde89e": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "HBoxModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HBoxModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HBoxView",
"box_style": "",
"children": [
"IPY_MODEL_55c3d0b36f004800976e85d830f81743",
"IPY_MODEL_ac029057d6534c9191fe3f1fddbd64fe",
"IPY_MODEL_32c8f368ff21452fb711fdce75f99a5a"
],
"layout": "IPY_MODEL_45649d5553544d479c5312c8a46637fb"
}
},
"1221b9be3dff4f168d04b297d37f59ff": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "ProgressStyleModel",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "ProgressStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"bar_color": null,
"description_width": ""
}
},
"150f5046c3224c0d9eff3f8c851b146f": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"153ac1ceef154fb1a7d080fb4b00ca67": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"16ffe85c44764fa9ad8a31fb21e6432f": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"18f7dc9f5e6241138534b7cf9aa30adb": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "HTMLModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_b447ca05136342d0a167bfb133a353bd",
"placeholder": "",
"style": "IPY_MODEL_4dcbcf9b086f452d9d1bc07b4a4cc1d3",
"value": "\nPro Tip: If you don't already have one, you can create a dedicated\n'notebooks' token with 'write' access, that you can then easily reuse for all\nnotebooks.
Logging in with your username and password is deprecated and\nwon't be possible anymore in the near future. You can still use them for now by\nclicking below. "
}
},
"19aaee92700f4f3ab16d9a84f58c9662": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "FloatProgressModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "FloatProgressModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "ProgressView",
"bar_style": "success",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_af7e3f72f5fe49aa8a9228c3ab9535ab",
"max": 110417455,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_0bb996ac5dc54a65b9c93c090dd236c5",
"value": 110417455
}
},
"19e065315da84ab0bcfe771280b7cefc": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "DescriptionStyleModel",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"1a13206aae6346cfb744f0edca13dfae": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "DescriptionStyleModel",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"1ae00749a1db45f3a9df07d54ba7b9a2": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"1d7d48efc83942f7af9d6ee079829cf5": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "HBoxModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HBoxModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HBoxView",
"box_style": "",
"children": [
"IPY_MODEL_9e0aef46a23d438dbfe0d38f96594627",
"IPY_MODEL_ae76aad40bf14fb59f600e67626dcd2a",
"IPY_MODEL_0ddaf04b08de467db0d05d1310a061b9"
],
"layout": "IPY_MODEL_9dfc08df9d3c40e2b58b80ded1757877"
}
},
"1de73b85fab34677b26258cf81b1f12f": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"1ec40e8e33474dcb85bbf394eefc1b56": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "ProgressStyleModel",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "ProgressStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"bar_color": null,
"description_width": ""
}
},
"1ed8401e795b4efda2d6ce57b72aeafb": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "DescriptionStyleModel",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"1f66f9bb6f374902ac87747b55fdede6": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "FloatProgressModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "FloatProgressModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "ProgressView",
"bar_style": "success",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_dfe11154745547058a1158a2e8c7d620",
"max": 110417455,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_950d18b052794bdd85e9981dba17d253",
"value": 110417455
}
},
"20648d3f57564cf2a30fab10b12af123": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"21aa0de2c357460c926cd51ef2706ab1": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "HTMLModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_29c5dda2d3464ab0b6e3f5667dab9185",
"placeholder": "",
"style": "IPY_MODEL_d8fbaac013d24e0b9be1d0969bede5c1",
"value": "Downloading: 100%"
}
},
"2953a9b8d7224f249d8fbe6b1eea0043": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "DescriptionStyleModel",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"29c5dda2d3464ab0b6e3f5667dab9185": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"2c017c8365c7417f80040637f0576456": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "HBoxModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HBoxModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HBoxView",
"box_style": "",
"children": [
"IPY_MODEL_bad41d5acc1741e0a3954363802efb95",
"IPY_MODEL_d497d019f02048ed8d8996a7dc024086",
"IPY_MODEL_cf7f56acd6a84ab0bbd669ffc68049f1"
],
"layout": "IPY_MODEL_711229887a3c44308d99a36b0cfe383c"
}
},
"2cd78732f3114043aab3b2c3b4216a18": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "HTMLModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_45b2401d4c2042eeaa566aecaab3bd8f",
"placeholder": "",
"style": "IPY_MODEL_a688efdb9d114f4c91cac8a70f7322b0",
"value": "Downloading: 100%"
}
},
"2daba079b8ab4a6bb5c9d4e975954913": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "DescriptionStyleModel",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"2e436c1f1346463fbb4bd4365b91ebb8": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": "20px"
}
},
"2f352e7c41354fad8ff728812e57d710": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "HBoxModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HBoxModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HBoxView",
"box_style": "",
"children": [
"IPY_MODEL_ae47ecc705504c8b970eed5631c3ba70",
"IPY_MODEL_57c389d6ab5b43c2aff368a2ec0eec9d",
"IPY_MODEL_d58f48db2d1a45f68089517e1d3d03fb"
],
"layout": "IPY_MODEL_ecb63e66b3f64471af20595c3b55bc09"
}
},
"2ff8584bc3ba4faa8dd305b4aa4e1023": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "DescriptionStyleModel",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"32c8f368ff21452fb711fdce75f99a5a": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "HTMLModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_e770a085eccb42ffa19ccef7c2595baf",
"placeholder": "",
"style": "IPY_MODEL_7a23e83ece094f5b98e6cd715c78bff8",
"value": " 3.19k/? [00:00<00:00, 88.7kB/s]"
}
},
"337cdba2a3a542229a2bfaa42cc9dbe4": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "ProgressStyleModel",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "ProgressStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"bar_color": null,
"description_width": ""
}
},
"33ff92cb74cd45a0b04744e6a0aaa202": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "DescriptionStyleModel",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"3423d126316b4895b8350cad294e9ed5": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"344c041a34b5458eb1bbb3ea8fa5b315": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "ButtonModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "ButtonModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "ButtonView",
"button_style": "",
"description": "Login",
"disabled": false,
"icon": "",
"layout": "IPY_MODEL_e9bad1a707f0442da6f117fdd2804f72",
"style": "IPY_MODEL_a0bac01e342b4793b66d7d4f5bfac2e2",
"tooltip": ""
}
},
"35274b3dd11c4d7ebe7912d04b706ebe": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "FloatProgressModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "FloatProgressModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "ProgressView",
"bar_style": "success",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_a721cfb1ad374676b542167485d7f462",
"max": 113476015,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_d7c49b2687b647a882348bd671ac8045",
"value": 113476015
}
},
"36cb688ec8c048b9b67feeb978d1ae7e": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "FloatProgressModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "FloatProgressModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "ProgressView",
"bar_style": "success",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_41556a6c7cf545ac9355482538ac814a",
"max": 255,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_7ce25ef57ec94306a781b46074f137fe",
"value": 255
}
},
"398c087633254bcaaf781aa57e982dd6": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "HBoxModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HBoxModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HBoxView",
"box_style": "",
"children": [
"IPY_MODEL_f200c07beda8456a92e897ee00b5fde5",
"IPY_MODEL_1f66f9bb6f374902ac87747b55fdede6",
"IPY_MODEL_fb8b8971f3714b16ac699a0bb9435dae"
],
"layout": "IPY_MODEL_b14bfd13a6294a9cb6f8226d43b2ba3d"
}
},
"40db3808e98d424cacc5d0fed54b9eaa": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "DescriptionStyleModel",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"4122b532a6674fdebc76dbf4bf064e4d": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "ProgressStyleModel",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "ProgressStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"bar_color": null,
"description_width": ""
}
},
"41556a6c7cf545ac9355482538ac814a": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"439e99396ea94ded839bd248fedd4336": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"43c38e2605e64d94b84f38d6ca4e284f": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"45649d5553544d479c5312c8a46637fb": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"45b2401d4c2042eeaa566aecaab3bd8f": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"4975c51eb23049389da9f1ff892c1906": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "DescriptionStyleModel",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"4aed4abfe24d492ab793be6a5742c01e": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"4cbb9fa91c7b480e8152248e339da888": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"4dbffab93ea2497fa5e7d4a710230034": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "HBoxModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HBoxModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HBoxView",
"box_style": "",
"children": [
"IPY_MODEL_2cd78732f3114043aab3b2c3b4216a18",
"IPY_MODEL_de3ae0562d2344dd9e2055015e160a2c",
"IPY_MODEL_d74498ae614e412bbb47f33a830be7ba"
],
"layout": "IPY_MODEL_cdd3559a361e469bb26501c272e563ba"
}
},
"4dcbcf9b086f452d9d1bc07b4a4cc1d3": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "DescriptionStyleModel",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"51b8c526e3594d3cac19c923160d082c": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "HTMLModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_536f6919a19d435e9f19055eacdf143e",
"placeholder": "",
"style": "IPY_MODEL_111d49a2cbd142b79d50252805c79285",
"value": " 13.9k/13.9k [03:00<00:00, 59.8B/s]"
}
},
"536f6919a19d435e9f19055eacdf143e": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"5466f882ca23480ab8d25a93d938c650": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "HTMLModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_76bc21ca1ac541a29751df47a6b66eb6",
"placeholder": "",
"style": "IPY_MODEL_c48f86ba50054f70922cb6b86fc041c0",
"value": " 1/1 [00:00<00:00, 23.98it/s]"
}
},
"55c3d0b36f004800976e85d830f81743": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "HTMLModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_d1c68503e1bd4802b5077a14225909e4",
"placeholder": "",
"style": "IPY_MODEL_19e065315da84ab0bcfe771280b7cefc",
"value": "Downloading builder script: "
}
},
"56ec636f14e749e1abc2d910c4ee08d7": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"579bc0c4df494b68b0a9dd37c9b5faf4": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"57c389d6ab5b43c2aff368a2ec0eec9d": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "FloatProgressModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "FloatProgressModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "ProgressView",
"bar_style": "success",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_73b4904f115a45e68370570fe6029158",
"max": 1265,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_1221b9be3dff4f168d04b297d37f59ff",
"value": 1265
}
},
"5830dd2340a64f1a874332b0b1e32ec7": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"5ad22e5e6c7c464c8ac943b9730954a1": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "DescriptionStyleModel",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"5ca400da4dc0421288dc4788f0dde96c": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"5d2d1f1d210449b895820a81089f6c0b": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "HTMLModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_db5bdd6de3e74610b61b044c23700daa",
"placeholder": "",
"style": "IPY_MODEL_eec1d3b8ea07492d9a4fb06bce7404d2",
"value": "Downloading data files: "
}
},
"6126aa9e8dd343aa9233ac1f2150121b": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "FloatProgressModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "FloatProgressModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "ProgressView",
"bar_style": "success",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_d089ec92b52b4b90b7ade4a2b6d7ced4",
"max": 1,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_706b3ef455424cd5b0f2629d58b5aaa6",
"value": 0
}
},
"6146998af3154b7d9317375018b0b35c": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "DescriptionStyleModel",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"62f3666095fd4f299875d99365fc6d3e": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "DescriptionStyleModel",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"65ee9c937e37404593bbd78489040d82": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "HBoxModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HBoxModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HBoxView",
"box_style": "",
"children": [
"IPY_MODEL_5d2d1f1d210449b895820a81089f6c0b",
"IPY_MODEL_6126aa9e8dd343aa9233ac1f2150121b",
"IPY_MODEL_c096392e55374751b33105be96d37934"
],
"layout": "IPY_MODEL_aba0dcd1eef34146a52c90eb5c3e211c"
}
},
"6b461c460eb543ef8a095b685163a135": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "ProgressStyleModel",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "ProgressStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"bar_color": null,
"description_width": ""
}
},
"6be6e59a99cc4a7a9519f56274eab245": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "HTMLModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_1ae00749a1db45f3a9df07d54ba7b9a2",
"placeholder": "",
"style": "IPY_MODEL_e3f9fa06f3254786babef77b69edf5e1",
"value": "Extracting data files: 100%"
}
},
"6ca86c47e547426e8a0d4487a786c46c": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "ButtonStyleModel",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "ButtonStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"button_color": null,
"font_weight": ""
}
},
"6da1bfe89c754d74868af73bff068ebb": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "DescriptionStyleModel",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"706b3ef455424cd5b0f2629d58b5aaa6": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "ProgressStyleModel",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "ProgressStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"bar_color": null,
"description_width": ""
}
},
"711229887a3c44308d99a36b0cfe383c": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"724b578bac3f4b7cb6806ee3c45aff01": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"729118d4d197413f91e59000ca0fad5b": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "HTMLModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_7b904e63e1e64d81a038151aa0255fe9",
"placeholder": "",
"style": "IPY_MODEL_72ae4253f07c4f74a8f78456624451e9",
"value": "Downloading: 100%"
}
},
"72ae4253f07c4f74a8f78456624451e9": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "DescriptionStyleModel",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"730378e114f944908aa06f42bb2faa3d": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"7344011c60a44af49dfb435e217ba205": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "HBoxModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HBoxModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HBoxView",
"box_style": "",
"children": [
"IPY_MODEL_a9a3933138f04b628d9ec9e0a1b3531b",
"IPY_MODEL_07a8dfd811d54c1eaaf8d30df4a15e02",
"IPY_MODEL_ac6e0d722fbf4cb98e1beae1d768461d"
],
"layout": "IPY_MODEL_73be6beffebe4986b26fd275a549983a"
}
},
"73b4904f115a45e68370570fe6029158": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"73be6beffebe4986b26fd275a549983a": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"75099c97172c41b2ab9ce93fb8648f3a": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"76bc21ca1ac541a29751df47a6b66eb6": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"76fde2f98f774466bb826c5cc3f90657": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "HTMLModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_01c63ad383b44a238cb7d931bdbc426e",
"placeholder": "",
"style": "IPY_MODEL_0e2c6500a66e42b19df8306e84229b14",
"value": " 108M/108M [00:03<00:00, 38.0MB/s]"
}
},
"78de59096c0c4f4088248d49d8e945c7": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "HBoxModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HBoxModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HBoxView",
"box_style": "",
"children": [
"IPY_MODEL_0ef55f103c7049ffb072be07cbdc3c55",
"IPY_MODEL_d3cc200a473f4d05b003159452dc4694",
"IPY_MODEL_f558d858617649a683a8249dd93cfb15"
],
"layout": "IPY_MODEL_ec72f31db8fd4c209f081e20d43d9f01"
}
},
"7a23e83ece094f5b98e6cd715c78bff8": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "DescriptionStyleModel",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"7b904e63e1e64d81a038151aa0255fe9": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"7ce25ef57ec94306a781b46074f137fe": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "ProgressStyleModel",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "ProgressStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"bar_color": null,
"description_width": ""
}
},
"7d91643c73094ab990f7fadeded7ce32": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "ProgressStyleModel",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "ProgressStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"bar_color": null,
"description_width": ""
}
},
"822db9328a764186b4c71dc3a0788025": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"84731a7392f34547a8702ce8dae4ffde": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "HTMLModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_0789ac7948dc47af88cbd4306376fa2a",
"placeholder": "",
"style": "IPY_MODEL_33ff92cb74cd45a0b04744e6a0aaa202",
"value": " 1/1 [00:05<00:00, 5.89s/it]"
}
},
"85aa3489e82442d38d387e9a1df8d920": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "FloatProgressModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "FloatProgressModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "ProgressView",
"bar_style": "success",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_9d3a80f84461463da2d7135da04d0b8d",
"max": 14241,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_dd7bebb0ca9c473aab467b9c22105bf8",
"value": 14241
}
},
"8950022cf2be41cfa0fe71cf49d9da99": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"898560cd6bca49d7bbc530070737e348": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "HBoxModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HBoxModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HBoxView",
"box_style": "",
"children": [
"IPY_MODEL_cb6c133b4a524edd98b35f43d4feef0e",
"IPY_MODEL_85aa3489e82442d38d387e9a1df8d920",
"IPY_MODEL_51b8c526e3594d3cac19c923160d082c"
],
"layout": "IPY_MODEL_0f5ce894e0ee47c6af02f709256ac641"
}
},
"89c3832e2105480bbc80c97683f8a9c6": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "HTMLModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_4aed4abfe24d492ab793be6a5742c01e",
"placeholder": "",
"style": "IPY_MODEL_1ed8401e795b4efda2d6ce57b72aeafb",
"value": "100%"
}
},
"8a3c971f5628488c83a8cc3685f39e6b": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "ProgressStyleModel",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "ProgressStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"bar_color": null,
"description_width": ""
}
},
"8c254fe1a46740e49a6bffc3cbe0713a": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "DescriptionStyleModel",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"8da2a3d279654ff68534ac1ec0e4c94c": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"950d18b052794bdd85e9981dba17d253": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "ProgressStyleModel",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "ProgressStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"bar_color": null,
"description_width": ""
}
},
"970bfe0340214232a20166834b5467a8": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"97d07155fabd42e580e130b4f1b50bff": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "DescriptionStyleModel",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"9824e85405d64dbd8d1c28466cbd5ce2": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"98fd9150cbf045ac9443dcabe99ca22e": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "HTMLModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_dcb84839bd7f473a81d382e1fa0d69c8",
"placeholder": "",
"style": "IPY_MODEL_b13db65ff9d04f6d95eb5761d1df9c78",
"value": "Upload file runs/Apr12_08-48-13_9520b574893c/events.out.tfevents.1649754586.9520b574893c.77.2: 100%"
}
},
"9a6de936af954c528cad23494762d985": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"9a6e68f68baf4d41ae4668f119e1d461": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "ProgressStyleModel",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "ProgressStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"bar_color": null,
"description_width": ""
}
},
"9bb0bb71bd3c4218be04f6e0dba884ab": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "FloatProgressModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "FloatProgressModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "ProgressView",
"bar_style": "success",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_150f5046c3224c0d9eff3f8c851b146f",
"max": 1,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_8a3c971f5628488c83a8cc3685f39e6b",
"value": 1
}
},
"9d3a80f84461463da2d7135da04d0b8d": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"9dc83601a17f4fb2a2d3bf68f41612e6": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"9dfc08df9d3c40e2b58b80ded1757877": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"9e0aef46a23d438dbfe0d38f96594627": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "HTMLModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_439e99396ea94ded839bd248fedd4336",
"placeholder": "",
"style": "IPY_MODEL_9e99ded657134f558d258ab848ec7ed9",
"value": "Downloading: 100%"
}
},
"9e99ded657134f558d258ab848ec7ed9": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "DescriptionStyleModel",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"a0bac01e342b4793b66d7d4f5bfac2e2": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "ButtonStyleModel",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "ButtonStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"button_color": null,
"font_weight": ""
}
},
"a18df3c4ad3d436ca9bb05e7e3700142": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "DescriptionStyleModel",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"a4cdb122648b434fbc97a70c8ecd2797": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"a688efdb9d114f4c91cac8a70f7322b0": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "DescriptionStyleModel",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"a6d024d44a6c49eebef7966ef5a836f1": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "PasswordModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "PasswordModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "PasswordView",
"continuous_update": true,
"description": "Token:",
"description_tooltip": null,
"disabled": false,
"layout": "IPY_MODEL_16ffe85c44764fa9ad8a31fb21e6432f",
"placeholder": "",
"style": "IPY_MODEL_40db3808e98d424cacc5d0fed54b9eaa",
"value": ""
}
},
"a721cfb1ad374676b542167485d7f462": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"a722d5be4ebc42a38ed208047773c3ac": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "HTMLModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_20648d3f57564cf2a30fab10b12af123",
"placeholder": "",
"style": "IPY_MODEL_aec38c4c448d4b8083232bb50351a188",
"value": " 363/363 [00:01<?, ?B/s]"
}
},
"a98957fcd9204fdc83a14bb710da2fd8": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"a99c93dcd98943aa9af6d6ae9cacb342": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "HTMLModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_d70e71438f0945319eec5f2eedf804e5",
"placeholder": "",
"style": "IPY_MODEL_1a13206aae6346cfb744f0edca13dfae",
"value": "Downloading: 100%"
}
},
"a9a3933138f04b628d9ec9e0a1b3531b": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "HTMLModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_9824e85405d64dbd8d1c28466cbd5ce2",
"placeholder": "",
"style": "IPY_MODEL_a18df3c4ad3d436ca9bb05e7e3700142",
"value": "Downloading data files: 100%"
}
},
"aba0dcd1eef34146a52c90eb5c3e211c": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"ac029057d6534c9191fe3f1fddbd64fe": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "FloatProgressModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "FloatProgressModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "ProgressView",
"bar_style": "success",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_75099c97172c41b2ab9ce93fb8648f3a",
"max": 1411,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_7d91643c73094ab990f7fadeded7ce32",
"value": 1411
}
},
"ac6e0d722fbf4cb98e1beae1d768461d": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "HTMLModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_e046e82af8894041bf83190eda1fdd27",
"placeholder": "",
"style": "IPY_MODEL_2953a9b8d7224f249d8fbe6b1eea0043",
"value": " 1/1 [00:09<00:00, 9.05s/it]"
}
},
"ae47ecc705504c8b970eed5631c3ba70": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "HTMLModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_43c38e2605e64d94b84f38d6ca4e284f",
"placeholder": "",
"style": "IPY_MODEL_4975c51eb23049389da9f1ff892c1906",
"value": "Downloading: 100%"
}
},
"ae76aad40bf14fb59f600e67626dcd2a": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "FloatProgressModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "FloatProgressModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "ProgressView",
"bar_style": "success",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_970bfe0340214232a20166834b5467a8",
"max": 240,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_6b461c460eb543ef8a095b685163a135",
"value": 240
}
},
"aec38c4c448d4b8083232bb50351a188": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "DescriptionStyleModel",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"af7e3f72f5fe49aa8a9228c3ab9535ab": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"b13db65ff9d04f6d95eb5761d1df9c78": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "DescriptionStyleModel",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"b14bfd13a6294a9cb6f8226d43b2ba3d": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"b1f48ef2e4774d3991109a3537ce6f95": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"b274626ba7bb4917843c2505e2e642d8": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"b447ca05136342d0a167bfb133a353bd": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"b47ec013328e427e91d645219ee0b4f3": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "ProgressStyleModel",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "ProgressStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"bar_color": null,
"description_width": ""
}
},
"b5e61543921d41c1a0fd0bdd32042c30": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "HBoxModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HBoxModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HBoxView",
"box_style": "",
"children": [
"IPY_MODEL_6be6e59a99cc4a7a9519f56274eab245",
"IPY_MODEL_c31e69612cc949569d72927dc8556167",
"IPY_MODEL_84731a7392f34547a8702ce8dae4ffde"
],
"layout": "IPY_MODEL_a4cdb122648b434fbc97a70c8ecd2797"
}
},
"bad41d5acc1741e0a3954363802efb95": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "HTMLModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_9a6de936af954c528cad23494762d985",
"placeholder": "",
"style": "IPY_MODEL_6146998af3154b7d9317375018b0b35c",
"value": "Downloading data: 100%"
}
},
"bcd45d9e90d14473a743ce1e41968560": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"bdbc14917682409886e9e1571dd525e7": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "HBoxModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HBoxModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HBoxView",
"box_style": "",
"children": [
"IPY_MODEL_98fd9150cbf045ac9443dcabe99ca22e",
"IPY_MODEL_dc22cc2ba2a94f56b56672c6ce19041d",
"IPY_MODEL_a722d5be4ebc42a38ed208047773c3ac"
],
"layout": "IPY_MODEL_bcd45d9e90d14473a743ce1e41968560"
}
},
"c096392e55374751b33105be96d37934": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "HTMLModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_b274626ba7bb4917843c2505e2e642d8",
"placeholder": "",
"style": "IPY_MODEL_c869a350dd09430cb3599a1b764abf7c",
"value": " 0/0 [00:00<?, ?it/s]"
}
},
"c31e69612cc949569d72927dc8556167": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "FloatProgressModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "FloatProgressModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "ProgressView",
"bar_style": "success",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_c9578be641994795aebba19c76e18c7c",
"max": 1,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_dbc2646034c14ff798611f6a43ecfcb5",
"value": 1
}
},
"c48f86ba50054f70922cb6b86fc041c0": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "DescriptionStyleModel",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"c869a350dd09430cb3599a1b764abf7c": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "DescriptionStyleModel",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"c90b1c5c9de4463ab7e07ed2b31aa15c": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "HTMLModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_579bc0c4df494b68b0a9dd37c9b5faf4",
"placeholder": "",
"style": "IPY_MODEL_8c254fe1a46740e49a6bffc3cbe0713a",
"value": " 105M/105M [00:04<00:00, 11.7MB/s]"
}
},
"c94af069c1674edf9b372c350d9b9c51": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "DescriptionStyleModel",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"c9578be641994795aebba19c76e18c7c": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"cb6c133b4a524edd98b35f43d4feef0e": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "HTMLModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_56ec636f14e749e1abc2d910c4ee08d7",
"placeholder": "",
"style": "IPY_MODEL_97d07155fabd42e580e130b4f1b50bff",
"value": "Upload file runs/Apr12_08-48-13_9520b574893c/events.out.tfevents.1649753401.9520b574893c.77.0: 100%"
}
},
"cdd3559a361e469bb26501c272e563ba": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"cf7f56acd6a84ab0bbd669ffc68049f1": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "HTMLModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_b1f48ef2e4774d3991109a3537ce6f95",
"placeholder": "",
"style": "IPY_MODEL_2daba079b8ab4a6bb5c9d4e975954913",
"value": " 94.3M/94.3M [00:08<00:00, 13.8MB/s]"
}
},
"d089ec92b52b4b90b7ade4a2b6d7ced4": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": "20px"
}
},
"d11b8b3db3584d289194e55b21e349cd": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"d1c68503e1bd4802b5077a14225909e4": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"d3cc200a473f4d05b003159452dc4694": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "FloatProgressModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "FloatProgressModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "ProgressView",
"bar_style": "info",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_2e436c1f1346463fbb4bd4365b91ebb8",
"max": 1,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_337cdba2a3a542229a2bfaa42cc9dbe4",
"value": 1
}
},
"d3ce10fbf95c4ebfb4e735e3f3538c3c": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "HBoxModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HBoxModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HBoxView",
"box_style": "",
"children": [
"IPY_MODEL_729118d4d197413f91e59000ca0fad5b",
"IPY_MODEL_19aaee92700f4f3ab16d9a84f58c9662",
"IPY_MODEL_c90b1c5c9de4463ab7e07ed2b31aa15c"
],
"layout": "IPY_MODEL_8950022cf2be41cfa0fe71cf49d9da99"
}
},
"d497d019f02048ed8d8996a7dc024086": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "FloatProgressModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "FloatProgressModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "ProgressView",
"bar_style": "success",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_3423d126316b4895b8350cad294e9ed5",
"max": 94280567,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_b47ec013328e427e91d645219ee0b4f3",
"value": 94280567
}
},
"d58f48db2d1a45f68089517e1d3d03fb": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "HTMLModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_9dc83601a17f4fb2a2d3bf68f41612e6",
"placeholder": "",
"style": "IPY_MODEL_f49d1a2f1f4744b9aa348f9ad216a1c9",
"value": " 1.24k/1.24k [00:00<00:00, 39.6kB/s]"
}
},
"d5e3a1de2a4645639c029a404d04dc1c": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "ButtonModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "ButtonModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "ButtonView",
"button_style": "",
"description": "Use password",
"disabled": false,
"icon": "",
"layout": "IPY_MODEL_724b578bac3f4b7cb6806ee3c45aff01",
"style": "IPY_MODEL_6ca86c47e547426e8a0d4487a786c46c",
"tooltip": ""
}
},
"d70e71438f0945319eec5f2eedf804e5": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"d74498ae614e412bbb47f33a830be7ba": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "HTMLModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_e1f9aa53a0d4470a98206fb0322730b3",
"placeholder": "",
"style": "IPY_MODEL_c94af069c1674edf9b372c350d9b9c51",
"value": " 70.1k/70.1k [00:00<00:00, 340kB/s]"
}
},
"d7c49b2687b647a882348bd671ac8045": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "ProgressStyleModel",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "ProgressStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"bar_color": null,
"description_width": ""
}
},
"d8fbaac013d24e0b9be1d0969bede5c1": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "DescriptionStyleModel",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"db5bdd6de3e74610b61b044c23700daa": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"db6d4fa6175348ba9cb7e12d755c1b70": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "HTMLModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_822db9328a764186b4c71dc3a0788025",
"placeholder": "",
"style": "IPY_MODEL_2ff8584bc3ba4faa8dd305b4aa4e1023",
"value": " 255/255 [00:00<00:00, 6.75kB/s]"
}
},
"dbc2646034c14ff798611f6a43ecfcb5": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "ProgressStyleModel",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "ProgressStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"bar_color": null,
"description_width": ""
}
},
"dbf1ac358f1c42f2a3d4ea06855e6f8c": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "DescriptionStyleModel",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"dc22cc2ba2a94f56b56672c6ce19041d": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "FloatProgressModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "FloatProgressModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "ProgressView",
"bar_style": "success",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_5ca400da4dc0421288dc4788f0dde96c",
"max": 363,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_9a6e68f68baf4d41ae4668f119e1d461",
"value": 363
}
},
"dcb84839bd7f473a81d382e1fa0d69c8": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"dd7bebb0ca9c473aab467b9c22105bf8": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "ProgressStyleModel",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "ProgressStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"bar_color": null,
"description_width": ""
}
},
"de3ae0562d2344dd9e2055015e160a2c": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "FloatProgressModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "FloatProgressModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "ProgressView",
"bar_style": "success",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_5830dd2340a64f1a874332b0b1e32ec7",
"max": 71813,
"min": 0,
"orientation": "horizontal",
"style": "IPY_MODEL_1ec40e8e33474dcb85bbf394eefc1b56",
"value": 71813
}
},
"dfe11154745547058a1158a2e8c7d620": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"e046e82af8894041bf83190eda1fdd27": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"e1f9aa53a0d4470a98206fb0322730b3": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"e276e653c187474dba7e1c4fede10b79": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "HTMLModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_730378e114f944908aa06f42bb2faa3d",
"placeholder": "",
"style": "IPY_MODEL_f73b5464140d4723b1b3f46796d9b1ca",
"value": "
Copy a token from your Hugging Face\ntokens page and paste it below.
Immediately click login after copying\nyour token or it might be stored in plain text in this notebook file. "
}
},
"e3f9fa06f3254786babef77b69edf5e1": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "DescriptionStyleModel",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"e770a085eccb42ffa19ccef7c2595baf": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"e7e938eb6baf486e829ea5d4734087cf": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": "center",
"align_self": null,
"border": null,
"bottom": null,
"display": "flex",
"flex": null,
"flex_flow": "column",
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": "50%"
}
},
"e9bad1a707f0442da6f117fdd2804f72": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"eaa2e37efec944549715e9f5f12527b0": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"ec72f31db8fd4c209f081e20d43d9f01": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"ecb63e66b3f64471af20595c3b55bc09": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"edc7e95a57304afa9fb626e23e334e7b": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {
"_model_module": "@jupyter-widgets/base",
"_model_module_version": "1.2.0",
"_model_name": "LayoutModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "LayoutView",
"align_content": null,
"align_items": null,
"align_self": null,
"border": null,
"bottom": null,
"display": null,
"flex": null,
"flex_flow": null,
"grid_area": null,
"grid_auto_columns": null,
"grid_auto_flow": null,
"grid_auto_rows": null,
"grid_column": null,
"grid_gap": null,
"grid_row": null,
"grid_template_areas": null,
"grid_template_columns": null,
"grid_template_rows": null,
"height": null,
"justify_content": null,
"justify_items": null,
"left": null,
"margin": null,
"max_height": null,
"max_width": null,
"min_height": null,
"min_width": null,
"object_fit": null,
"object_position": null,
"order": null,
"overflow": null,
"overflow_x": null,
"overflow_y": null,
"padding": null,
"right": null,
"top": null,
"visibility": null,
"width": null
}
},
"eec1d3b8ea07492d9a4fb06bce7404d2": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "DescriptionStyleModel",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"f1760b8ccf9b4c32977a1e83f3a3af3d": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "VBoxModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "VBoxModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "VBoxView",
"box_style": "",
"children": [
"IPY_MODEL_e276e653c187474dba7e1c4fede10b79",
"IPY_MODEL_a6d024d44a6c49eebef7966ef5a836f1",
"IPY_MODEL_344c041a34b5458eb1bbb3ea8fa5b315",
"IPY_MODEL_18f7dc9f5e6241138534b7cf9aa30adb",
"IPY_MODEL_d5e3a1de2a4645639c029a404d04dc1c"
],
"layout": "IPY_MODEL_e7e938eb6baf486e829ea5d4734087cf"
}
},
"f200c07beda8456a92e897ee00b5fde5": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "HTMLModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_1de73b85fab34677b26258cf81b1f12f",
"placeholder": "",
"style": "IPY_MODEL_5ad22e5e6c7c464c8ac943b9730954a1",
"value": "Upload file pytorch_model.bin: 100%"
}
},
"f49d1a2f1f4744b9aa348f9ad216a1c9": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "DescriptionStyleModel",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"f558d858617649a683a8249dd93cfb15": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "HTMLModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_8da2a3d279654ff68534ac1ec0e4c94c",
"placeholder": "",
"style": "IPY_MODEL_62f3666095fd4f299875d99365fc6d3e",
"value": " 25131/0 [00:01<00:00, 21668.81 examples/s]"
}
},
"f73b5464140d4723b1b3f46796d9b1ca": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "DescriptionStyleModel",
"state": {
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "DescriptionStyleModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/base",
"_view_module_version": "1.2.0",
"_view_name": "StyleView",
"description_width": ""
}
},
"f8204cbc9e33434e8dae692826092def": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "HBoxModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HBoxModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HBoxView",
"box_style": "",
"children": [
"IPY_MODEL_89c3832e2105480bbc80c97683f8a9c6",
"IPY_MODEL_9bb0bb71bd3c4218be04f6e0dba884ab",
"IPY_MODEL_5466f882ca23480ab8d25a93d938c650"
],
"layout": "IPY_MODEL_eaa2e37efec944549715e9f5f12527b0"
}
},
"fb8b8971f3714b16ac699a0bb9435dae": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "HTMLModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HTMLModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HTMLView",
"description": "",
"description_tooltip": null,
"layout": "IPY_MODEL_a98957fcd9204fdc83a14bb710da2fd8",
"placeholder": "",
"style": "IPY_MODEL_6da1bfe89c754d74868af73bff068ebb",
"value": " 105M/105M [03:00<00:00, 732kB/s]"
}
},
"fe0a9c76f4de441d9bd8de7394ffbcda": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "HBoxModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HBoxModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HBoxView",
"box_style": "",
"children": [
"IPY_MODEL_21aa0de2c357460c926cd51ef2706ab1",
"IPY_MODEL_35274b3dd11c4d7ebe7912d04b706ebe",
"IPY_MODEL_76fde2f98f774466bb826c5cc3f90657"
],
"layout": "IPY_MODEL_edc7e95a57304afa9fb626e23e334e7b"
}
},
"fffb14323cbb485fbc251377f0df82be": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "HBoxModel",
"state": {
"_dom_classes": [],
"_model_module": "@jupyter-widgets/controls",
"_model_module_version": "1.5.0",
"_model_name": "HBoxModel",
"_view_count": null,
"_view_module": "@jupyter-widgets/controls",
"_view_module_version": "1.5.0",
"_view_name": "HBoxView",
"box_style": "",
"children": [
"IPY_MODEL_a99c93dcd98943aa9af6d6ae9cacb342",
"IPY_MODEL_36cb688ec8c048b9b67feeb978d1ae7e",
"IPY_MODEL_db6d4fa6175348ba9cb7e12d755c1b70"
],
"layout": "IPY_MODEL_153ac1ceef154fb1a7d080fb4b00ca67"
}
}
}
}
},
"nbformat": 4,
"nbformat_minor": 4
}