mirror of
https://github.com/CodedotAl/gpt-code-clippy.git
synced 2024-10-26 09:17:45 +03:00
6555 lines
212 KiB
Plaintext
6555 lines
212 KiB
Plaintext
{
|
||
"cells": [
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {
|
||
"id": "uGYl4nCPKyZi"
|
||
},
|
||
"source": [
|
||
"# Fine-tuning GPTNeo with 🤗 Transformers and **Flax/JAX** on TPU\n",
|
||
"\n",
|
||
"In this notebook, we will see how to pretrain one of the [🤗 Transformers](https://github.com/huggingface/transformers) models on TPU using [**Flax**](https://flax.readthedocs.io/en/latest/index.html). \n",
|
||
"\n",
|
||
"GPTNeo causal language modeling objective will be used for pre-training here.\n",
|
||
"\n",
|
||
"As can be seen on [this benchmark](https://github.com/huggingface/transformers/tree/master/examples/flax/language-modeling#runtime-evaluation) using Flax/JAX on GPU/TPU is often much faster and can also be considerably cheaper than using PyTorch on GPU/TPU.\n",
|
||
"\n",
|
||
"[**Flax**](https://flax.readthedocs.io/en/latest/index.html) is a high-performance neural network library designed for flexibility built on top of JAX (see below). It aims to provide users with full control of their training code and is carefully designed to work well with JAX transformations such as `grad` and `pmap` (see the [Flax philosophy](https://flax.readthedocs.io/en/latest/philosophy.html)). For an introduction to Flax see the [Flax Basic Colab](https://flax.readthedocs.io/en/latest/notebooks/flax_basics.html) or the list of curated [Flax examples](https://flax.readthedocs.io/en/latest/examples.html).\n",
|
||
"\n",
|
||
"[**JAX**](https://jax.readthedocs.io/en/latest/index.html) is Autograd and XLA, brought together for high-performance numerical computing and machine learning research. It provides composable transformations of Python+NumPy programs: differentiate, vectorize, parallelize, Just-In-Time compile to GPU/TPU, and more. A great place for getting started with JAX is the [JAX 101 Tutorial](https://jax.readthedocs.io/en/latest/jax-101/index.html)."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {
|
||
"id": "PwDAzFXQMd46"
|
||
},
|
||
"source": [
|
||
"If you're opening this Notebook on colab, you will probably need to install 🤗 Transformers, 🤗 Datasets, 🤗 Tokenizers as well as [Flax](https://github.com/google/flax.git) and [Optax](https://github.com/deepmind/optax). Optax is a gradient processing and optimization library for JAX, and is the optimizer library\n",
|
||
"recommended by Flax."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {
|
||
"id": "If_SYBvU5V6u"
|
||
},
|
||
"source": [
|
||
"If everything is set up correctly, the following command should return a list of 8 TPU devices."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 1,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"!export HF_HOME=\"/home/shared/.cache/hf/\""
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 2,
|
||
"metadata": {
|
||
"colab": {
|
||
"base_uri": "https://localhost:8080/"
|
||
},
|
||
"id": "3R5MP7PAbV7V",
|
||
"outputId": "9cf6b9a4-7b9c-4029-d938-dcf9a3ebb4c4"
|
||
},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"[TpuDevice(id=0, process_index=0, coords=(0,0,0), core_on_chip=0),\n",
|
||
" TpuDevice(id=1, process_index=0, coords=(0,0,0), core_on_chip=1),\n",
|
||
" TpuDevice(id=2, process_index=0, coords=(1,0,0), core_on_chip=0),\n",
|
||
" TpuDevice(id=3, process_index=0, coords=(1,0,0), core_on_chip=1),\n",
|
||
" TpuDevice(id=4, process_index=0, coords=(0,1,0), core_on_chip=0),\n",
|
||
" TpuDevice(id=5, process_index=0, coords=(0,1,0), core_on_chip=1),\n",
|
||
" TpuDevice(id=6, process_index=0, coords=(1,1,0), core_on_chip=0),\n",
|
||
" TpuDevice(id=7, process_index=0, coords=(1,1,0), core_on_chip=1)]"
|
||
]
|
||
},
|
||
"execution_count": 2,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"import jax\n",
|
||
"jax.local_devices()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 3,
|
||
"metadata": {
|
||
"id": "ii9XwLsmiY-E"
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"ds_name = \"code_search_net\"\n",
|
||
"language = \"python\""
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {
|
||
"id": "jVtv6T0oSjNq"
|
||
},
|
||
"source": [
|
||
"Next, we select the model architecture to be trained from scratch.\n",
|
||
"Here we choose [**`distilgpt2`**](https://huggingface.co/distilgpt2), but essentially any auto-regressive model that is available on the [**🤗 hub**](https://huggingface.co/models?filter=masked-lm,jax) in JAX/Flax can be used. "
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 4,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"from ipywidgets import Dropdown"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 5,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"application/vnd.jupyter.widget-view+json": {
|
||
"model_id": "c10c577b3949433ca2fd33373d2e211f",
|
||
"version_major": 2,
|
||
"version_minor": 0
|
||
},
|
||
"text/plain": [
|
||
"Dropdown(options=('EleutherAI/gpt-neo-125M', 'EleutherAI/gpt-neo-1.3B', 'EleutherAI/gpt-neo-2.7B'), value='Ele…"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"ckpt_selector = Dropdown(options = [\"EleutherAI/gpt-neo-125M\", \"EleutherAI/gpt-neo-1.3B\", \"EleutherAI/gpt-neo-2.7B\"])\n",
|
||
"ckpt_selector"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 6,
|
||
"metadata": {
|
||
"id": "Sj1mJNJa6PPS"
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"model_ckpt = ckpt_selector.value"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 7,
|
||
"metadata": {
|
||
"id": "1dwuSvQxeM8-"
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"from pathlib import Path\n",
|
||
"output_dir = Path.home()/f\"{model_ckpt.split('/')[1]}-code-clippy\""
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 8,
|
||
"metadata": {
|
||
"tags": []
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"2021-07-05 16:10:01.811521: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcudart.so.11.0'; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"import logging\n",
|
||
"import math\n",
|
||
"import os\n",
|
||
"import sys\n",
|
||
"import time\n",
|
||
"from dataclasses import dataclass, field\n",
|
||
"from pathlib import Path\n",
|
||
"from typing import Callable, Optional\n",
|
||
"\n",
|
||
"import datasets\n",
|
||
"from datasets import Dataset, load_dataset\n",
|
||
"from tqdm.auto import tqdm\n",
|
||
"\n",
|
||
"import jax\n",
|
||
"import jax.numpy as jnp\n",
|
||
"import optax\n",
|
||
"import transformers\n",
|
||
"from flax import jax_utils, traverse_util\n",
|
||
"from flax.jax_utils import unreplicate\n",
|
||
"from flax.training import train_state\n",
|
||
"from flax.training.common_utils import get_metrics, onehot, shard, shard_prng_key\n",
|
||
"from transformers import (\n",
|
||
" CONFIG_MAPPING,\n",
|
||
" FLAX_MODEL_FOR_CAUSAL_LM_MAPPING,\n",
|
||
" AutoConfig,\n",
|
||
" AutoTokenizer,\n",
|
||
" FlaxAutoModelForCausalLM,\n",
|
||
" HfArgumentParser,\n",
|
||
" TrainingArguments,\n",
|
||
" is_tensorboard_available,\n",
|
||
")\n",
|
||
"from transformers.testing_utils import CaptureLogger"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 9,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"# import jax.profiler\n",
|
||
"# server = jax.profiler.start_server(9999)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 10,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"logger = logging.getLogger(__name__)\n",
|
||
"\n",
|
||
"# Cache the result\n",
|
||
"has_tensorboard = is_tensorboard_available()\n",
|
||
"if has_tensorboard:\n",
|
||
" try:\n",
|
||
" from flax.metrics.tensorboard import SummaryWriter\n",
|
||
" except ImportError as ie:\n",
|
||
" has_tensorboard = False\n",
|
||
" print(f\"Unable to display metrics through TensorBoard because some package are not installed: {ie}\")\n",
|
||
"\n",
|
||
"else:\n",
|
||
" print(\n",
|
||
" \"Unable to display metrics through TensorBoard because the package is not installed: \"\n",
|
||
" \"Please run pip install tensorboard to enable.\"\n",
|
||
" )\n",
|
||
"\n",
|
||
"\n",
|
||
"MODEL_CONFIG_CLASSES = list(FLAX_MODEL_FOR_CAUSAL_LM_MAPPING.keys())\n",
|
||
"MODEL_TYPES = tuple(conf.model_type for conf in MODEL_CONFIG_CLASSES)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 11,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"@dataclass\n",
|
||
"class ModelArguments:\n",
|
||
" \"\"\"\n",
|
||
" Arguments pertaining to which model/config/tokenizer we are going to fine-tune, or train from scratch.\n",
|
||
" \"\"\"\n",
|
||
"\n",
|
||
" model_name_or_path: Optional[str] = field(\n",
|
||
" default=None,\n",
|
||
" metadata={\n",
|
||
" \"help\": \"The model checkpoint for weights initialization.\"\n",
|
||
" \"Don't set if you want to train a model from scratch.\"\n",
|
||
" },\n",
|
||
" )\n",
|
||
" model_type: Optional[str] = field(\n",
|
||
" default=None,\n",
|
||
" metadata={\"help\": \"If training from scratch, pass a model type from the list: \" + \", \".join(MODEL_TYPES)},\n",
|
||
" )\n",
|
||
" config_name: Optional[str] = field(\n",
|
||
" default=None, metadata={\"help\": \"Pretrained config name or path if not the same as model_name\"}\n",
|
||
" )\n",
|
||
" tokenizer_name: Optional[str] = field(\n",
|
||
" default=None, metadata={\"help\": \"Pretrained tokenizer name or path if not the same as model_name\"}\n",
|
||
" )\n",
|
||
" cache_dir: Optional[str] = field(\n",
|
||
" default=None, metadata={\"help\": \"Where do you want to store the pretrained models downloaded from s3\"}\n",
|
||
" )\n",
|
||
" use_fast_tokenizer: bool = field(\n",
|
||
" default=True,\n",
|
||
" metadata={\"help\": \"Whether to use one of the fast tokenizer (backed by the tokenizers library) or not.\"},\n",
|
||
" )\n",
|
||
" dtype: Optional[str] = field(\n",
|
||
" default=\"float32\",\n",
|
||
" metadata={\n",
|
||
" \"help\": \"Floating-point format in which the model weights should be initialized and trained. Choose one of `[float32, float16, bfloat16]`.\"\n",
|
||
" },\n",
|
||
" )"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 12,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"@dataclass\n",
|
||
"class DataTrainingArguments:\n",
|
||
" \"\"\"\n",
|
||
" Arguments pertaining to what data we are going to input our model for training and eval.\n",
|
||
" \"\"\"\n",
|
||
"\n",
|
||
" dataset_name: Optional[str] = field(\n",
|
||
" default=None, metadata={\"help\": \"The name of the dataset to use (via the datasets library).\"}\n",
|
||
" )\n",
|
||
" dataset_config_name: Optional[str] = field(\n",
|
||
" default=None, metadata={\"help\": \"The configuration name of the dataset to use (via the datasets library).\"}\n",
|
||
" )\n",
|
||
" train_file: Optional[str] = field(default=None, metadata={\"help\": \"The input training data file (a text file).\"})\n",
|
||
" validation_file: Optional[str] = field(\n",
|
||
" default=None,\n",
|
||
" metadata={\"help\": \"An optional input evaluation data file to evaluate the perplexity on (a text file).\"},\n",
|
||
" )\n",
|
||
" max_train_samples: Optional[int] = field(\n",
|
||
" default=None,\n",
|
||
" metadata={\n",
|
||
" \"help\": \"For debugging purposes or quicker training, truncate the number of training examples to this \"\n",
|
||
" \"value if set.\"\n",
|
||
" },\n",
|
||
" )\n",
|
||
" max_eval_samples: Optional[int] = field(\n",
|
||
" default=None,\n",
|
||
" metadata={\n",
|
||
" \"help\": \"For debugging purposes or quicker training, truncate the number of evaluation examples to this \"\n",
|
||
" \"value if set.\"\n",
|
||
" },\n",
|
||
" )\n",
|
||
" overwrite_cache: bool = field(\n",
|
||
" default=False, metadata={\"help\": \"Overwrite the cached training and evaluation sets\"}\n",
|
||
" )\n",
|
||
" validation_split_percentage: Optional[int] = field(\n",
|
||
" default=5,\n",
|
||
" metadata={\n",
|
||
" \"help\": \"The percentage of the train set used as validation set in case there's no validation split\"\n",
|
||
" },\n",
|
||
" )\n",
|
||
" block_size: Optional[int] = field(\n",
|
||
" default=None,\n",
|
||
" metadata={\n",
|
||
" \"help\": \"Optional input sequence length after tokenization. \"\n",
|
||
" \"The training dataset will be truncated in block of this size for training. \"\n",
|
||
" \"Default to the model max input length for single sentence inputs (take into account special tokens).\"\n",
|
||
" },\n",
|
||
" )\n",
|
||
" overwrite_cache: bool = field(\n",
|
||
" default=False, metadata={\"help\": \"Overwrite the cached training and evaluation sets\"}\n",
|
||
" )\n",
|
||
" preprocessing_num_workers: Optional[int] = field(\n",
|
||
" default=None,\n",
|
||
" metadata={\"help\": \"The number of processes to use for the preprocessing.\"},\n",
|
||
" )\n",
|
||
"\n",
|
||
" def __post_init__(self):\n",
|
||
" if self.dataset_name is None and self.train_file is None and self.validation_file is None:\n",
|
||
" raise ValueError(\"Need either a dataset name or a training/validation file.\")\n",
|
||
" else:\n",
|
||
" if self.train_file is not None:\n",
|
||
" extension = self.train_file.split(\".\")[-1]\n",
|
||
" assert extension in [\"csv\", \"json\", \"txt\"], \"`train_file` should be a csv, a json or a txt file.\"\n",
|
||
" if self.validation_file is not None:\n",
|
||
" extension = self.validation_file.split(\".\")[-1]\n",
|
||
" assert extension in [\"csv\", \"json\", \"txt\"], \"`validation_file` should be a csv, a json or a txt file.\""
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 13,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"class TrainState(train_state.TrainState):\n",
|
||
" dropout_rng: jnp.ndarray\n",
|
||
"\n",
|
||
" def replicate(self):\n",
|
||
" return jax_utils.replicate(self).replace(dropout_rng=shard_prng_key(self.dropout_rng))"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 14,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"def data_loader(rng: jax.random.PRNGKey, dataset: Dataset, batch_size: int, shuffle: bool = False):\n",
|
||
" \"\"\"\n",
|
||
" Returns batches of size `batch_size` from truncated `dataset`, sharded over all local devices.\n",
|
||
" Shuffle batches if `shuffle` is `True`.\n",
|
||
" \"\"\"\n",
|
||
" steps_per_epoch = len(dataset) // batch_size\n",
|
||
"\n",
|
||
" if shuffle:\n",
|
||
" batch_idx = jax.random.permutation(rng, len(dataset))\n",
|
||
" else:\n",
|
||
" batch_idx = jnp.arange(len(dataset))\n",
|
||
"\n",
|
||
" batch_idx = batch_idx[: steps_per_epoch * batch_size] # Skip incomplete batch.\n",
|
||
" batch_idx = batch_idx.reshape((steps_per_epoch, batch_size))\n",
|
||
"\n",
|
||
" for idx in batch_idx:\n",
|
||
" batch = dataset[idx]\n",
|
||
" batch = {k: jnp.array(v) for k, v in batch.items()}\n",
|
||
"\n",
|
||
" batch = shard(batch)\n",
|
||
"\n",
|
||
" yield batch"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 15,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"def write_metric(summary_writer, train_metrics, eval_metrics, train_time, step):\n",
|
||
" summary_writer.scalar(\"train_time\", train_time, step)\n",
|
||
"\n",
|
||
" train_metrics = get_metrics(train_metrics)\n",
|
||
" for key, vals in train_metrics.items():\n",
|
||
" tag = f\"train_{key}\"\n",
|
||
" for i, val in enumerate(vals):\n",
|
||
" summary_writer.scalar(tag, val, step - len(vals) + i + 1)\n",
|
||
"\n",
|
||
" for metric_name, value in eval_metrics.items():\n",
|
||
" summary_writer.scalar(f\"eval_{metric_name}\", value, step)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 16,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"def create_learning_rate_fn(\n",
|
||
" train_ds_size: int, train_batch_size: int, num_train_epochs: int, warmup_ratio: float, learning_rate: float\n",
|
||
") -> Callable[[int], jnp.array]:\n",
|
||
" \"\"\"Returns a linear warmup, linear_decay learning rate function.\"\"\"\n",
|
||
" steps_per_epoch = train_ds_size // train_batch_size\n",
|
||
" num_train_steps = steps_per_epoch * num_train_epochs\n",
|
||
" num_warmup_steps = int(num_train_steps * warmup_ratio)\n",
|
||
" warmup_fn = optax.linear_schedule(init_value=0.0, end_value=learning_rate, transition_steps=num_warmup_steps)\n",
|
||
" decay_fn = optax.linear_schedule(\n",
|
||
" init_value=learning_rate, end_value=0, transition_steps=num_train_steps - num_warmup_steps\n",
|
||
" )\n",
|
||
" schedule_fn = optax.join_schedules(schedules=[warmup_fn, decay_fn], boundaries=[num_warmup_steps])\n",
|
||
" return schedule_fn"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"## Set up training arguments"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 17,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"model_args = ModelArguments(\n",
|
||
" model_name_or_path=model_ckpt,\n",
|
||
" dtype=\"bfloat16\"\n",
|
||
")"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 18,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"data_args = DataTrainingArguments(\n",
|
||
" dataset_name=ds_name, \n",
|
||
" dataset_config_name=language, \n",
|
||
" block_size=512,\n",
|
||
"# max_train_samples=20000, \n",
|
||
"# max_eval_samples=2000, \n",
|
||
" preprocessing_num_workers=8\n",
|
||
")"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 19,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"bs = 32\n",
|
||
"training_args = TrainingArguments(\n",
|
||
" num_train_epochs=1,\n",
|
||
" output_dir=output_dir, \n",
|
||
" per_device_train_batch_size=bs, \n",
|
||
" per_device_eval_batch_size=bs, \n",
|
||
" learning_rate=3e-4,\n",
|
||
" weight_decay=0.1,\n",
|
||
" do_train=True,\n",
|
||
" do_eval=True,\n",
|
||
" warmup_ratio=0.1,\n",
|
||
" push_to_hub=False,\n",
|
||
" overwrite_output_dir=True\n",
|
||
")"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 20,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"if (\n",
|
||
" os.path.exists(training_args.output_dir)\n",
|
||
" and os.listdir(training_args.output_dir)\n",
|
||
" and training_args.do_train\n",
|
||
" and not training_args.overwrite_output_dir\n",
|
||
"):\n",
|
||
" raise ValueError(\n",
|
||
" f\"Output directory ({training_args.output_dir}) already exists and is not empty.\"\n",
|
||
" \"Use --overwrite_output_dir to overcome.\"\n",
|
||
" )"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 21,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"INFO:__main__:Training/evaluation parameters TrainingArguments(\n",
|
||
"_n_gpu=0,\n",
|
||
"adafactor=False,\n",
|
||
"adam_beta1=0.9,\n",
|
||
"adam_beta2=0.999,\n",
|
||
"adam_epsilon=1e-08,\n",
|
||
"dataloader_drop_last=False,\n",
|
||
"dataloader_num_workers=0,\n",
|
||
"dataloader_pin_memory=True,\n",
|
||
"ddp_find_unused_parameters=None,\n",
|
||
"debug=[],\n",
|
||
"deepspeed=None,\n",
|
||
"disable_tqdm=False,\n",
|
||
"do_eval=True,\n",
|
||
"do_predict=False,\n",
|
||
"do_train=True,\n",
|
||
"eval_accumulation_steps=None,\n",
|
||
"eval_steps=500,\n",
|
||
"evaluation_strategy=IntervalStrategy.NO,\n",
|
||
"fp16=False,\n",
|
||
"fp16_backend=auto,\n",
|
||
"fp16_full_eval=False,\n",
|
||
"fp16_opt_level=O1,\n",
|
||
"gradient_accumulation_steps=1,\n",
|
||
"greater_is_better=None,\n",
|
||
"group_by_length=False,\n",
|
||
"ignore_data_skip=False,\n",
|
||
"label_names=None,\n",
|
||
"label_smoothing_factor=0.0,\n",
|
||
"learning_rate=0.0003,\n",
|
||
"length_column_name=length,\n",
|
||
"load_best_model_at_end=False,\n",
|
||
"local_rank=-1,\n",
|
||
"log_level=-1,\n",
|
||
"log_level_replica=-1,\n",
|
||
"log_on_each_node=True,\n",
|
||
"logging_dir=/home/arto/gpt-neo-125M-code-clippy/runs/Jul05_16-10-02_t1v-n-416475e4-w-0,\n",
|
||
"logging_first_step=False,\n",
|
||
"logging_steps=500,\n",
|
||
"logging_strategy=IntervalStrategy.STEPS,\n",
|
||
"lr_scheduler_type=SchedulerType.LINEAR,\n",
|
||
"max_grad_norm=1.0,\n",
|
||
"max_steps=-1,\n",
|
||
"metric_for_best_model=None,\n",
|
||
"mp_parameters=,\n",
|
||
"no_cuda=False,\n",
|
||
"num_train_epochs=1,\n",
|
||
"output_dir=/home/arto/gpt-neo-125M-code-clippy,\n",
|
||
"overwrite_output_dir=True,\n",
|
||
"past_index=-1,\n",
|
||
"per_device_eval_batch_size=32,\n",
|
||
"per_device_train_batch_size=32,\n",
|
||
"prediction_loss_only=False,\n",
|
||
"push_to_hub=False,\n",
|
||
"push_to_hub_model_id=gpt-neo-125M-code-clippy,\n",
|
||
"push_to_hub_organization=None,\n",
|
||
"push_to_hub_token=None,\n",
|
||
"remove_unused_columns=True,\n",
|
||
"report_to=['tensorboard'],\n",
|
||
"resume_from_checkpoint=None,\n",
|
||
"run_name=/home/arto/gpt-neo-125M-code-clippy,\n",
|
||
"save_on_each_node=False,\n",
|
||
"save_steps=500,\n",
|
||
"save_strategy=IntervalStrategy.STEPS,\n",
|
||
"save_total_limit=None,\n",
|
||
"seed=42,\n",
|
||
"sharded_ddp=[],\n",
|
||
"skip_memory_metrics=True,\n",
|
||
"tpu_metrics_debug=False,\n",
|
||
"tpu_num_cores=None,\n",
|
||
"use_legacy_prediction_loop=False,\n",
|
||
"warmup_ratio=0.1,\n",
|
||
"warmup_steps=0,\n",
|
||
"weight_decay=0.1,\n",
|
||
")\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"# Make one log on every process with the configuration for debugging.\n",
|
||
"logging.basicConfig(\n",
|
||
" format=\"%(asctime)s - %(levelname)s - %(name)s - %(message)s\",\n",
|
||
" datefmt=\"%m/%d/%Y %H:%M:%S\",\n",
|
||
" level=logging.INFO,\n",
|
||
")\n",
|
||
"# Setup logging, we only want one process per machine to log things on the screen.\n",
|
||
"logger.setLevel(logging.INFO if jax.process_index() == 0 else logging.ERROR)\n",
|
||
"if jax.process_index() == 0:\n",
|
||
" datasets.utils.logging.set_verbosity_warning()\n",
|
||
" transformers.utils.logging.set_verbosity_info()\n",
|
||
"else:\n",
|
||
" datasets.utils.logging.set_verbosity_error()\n",
|
||
" transformers.utils.logging.set_verbosity_error()\n",
|
||
"\n",
|
||
"# Set the verbosity to info of the Transformers logger (on main process only):\n",
|
||
"logger.info(f\"Training/evaluation parameters {training_args}\")"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 22,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"WARNING:datasets.builder:Reusing dataset code_search_net (/home/arto/.cache/huggingface/datasets/code_search_net/python/1.0.0/80a244ab541c6b2125350b764dc5c2b715f65f00de7a56107a28915fac173a27)\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"# Get the datasets: you can either provide your own CSV/JSON/TXT training and evaluation files (see below)\n",
|
||
"# or just provide the name of one of the public datasets available on the hub at https://huggingface.co/datasets/\n",
|
||
"# (the dataset will be downloaded automatically from the datasets Hub).\n",
|
||
"#\n",
|
||
"# For CSV/JSON files, this script will use the column called 'text' or the first column if no column called\n",
|
||
"# 'text' is found. You can easily tweak this behavior (see below).\n",
|
||
"#\n",
|
||
"# In distributed training, the load_dataset function guarantees that only one local process can concurrently\n",
|
||
"# download the dataset.\n",
|
||
"if data_args.dataset_name is not None:\n",
|
||
" # Downloading and loading a dataset from the hub.\n",
|
||
" dataset = load_dataset(\n",
|
||
" data_args.dataset_name, data_args.dataset_config_name, cache_dir=model_args.cache_dir, keep_in_memory=False\n",
|
||
" )\n",
|
||
"\n",
|
||
" if \"validation\" not in dataset.keys():\n",
|
||
" dataset[\"validation\"] = load_dataset(\n",
|
||
" data_args.dataset_name,\n",
|
||
" data_args.dataset_config_name,\n",
|
||
" split=f\"train[:{data_args.validation_split_percentage}%]\",\n",
|
||
" cache_dir=model_args.cache_dir,\n",
|
||
" )\n",
|
||
" dataset[\"train\"] = load_dataset(\n",
|
||
" data_args.dataset_name,\n",
|
||
" data_args.dataset_config_name,\n",
|
||
" split=f\"train[{data_args.validation_split_percentage}%:]\",\n",
|
||
" cache_dir=model_args.cache_dir,\n",
|
||
" )\n",
|
||
"else:\n",
|
||
" data_files = {}\n",
|
||
" if data_args.train_file is not None:\n",
|
||
" data_files[\"train\"] = data_args.train_file\n",
|
||
" if data_args.validation_file is not None:\n",
|
||
" data_files[\"validation\"] = data_args.validation_file\n",
|
||
" extension = data_args.train_file.split(\".\")[-1]\n",
|
||
" if extension == \"txt\":\n",
|
||
" extension = \"text\"\n",
|
||
" dataset = load_dataset(extension, data_files=data_files, cache_dir=model_args.cache_dir)\n",
|
||
"# See more about loading any type of standard or custom dataset (from files, python dict, pandas DataFrame, etc) at\n",
|
||
"# https://huggingface.co/docs/datasets/loading_datasets.html."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 23,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"loading configuration file https://huggingface.co/EleutherAI/gpt-neo-125M/resolve/main/config.json from cache at /home/arto/.cache/huggingface/transformers/29380fef22a43cbfb3d3a6c8e2f4fd951459584d87c34e4621b30580a54aca84.f0f7ebddfc6e15a23ac33e7fa95cd8cca05edf87cc74f9e3be7905f538a59762\n",
|
||
"Model config GPTNeoConfig {\n",
|
||
" \"activation_function\": \"gelu_new\",\n",
|
||
" \"architectures\": [\n",
|
||
" \"GPTNeoForCausalLM\"\n",
|
||
" ],\n",
|
||
" \"attention_dropout\": 0,\n",
|
||
" \"attention_layers\": [\n",
|
||
" \"global\",\n",
|
||
" \"local\",\n",
|
||
" \"global\",\n",
|
||
" \"local\",\n",
|
||
" \"global\",\n",
|
||
" \"local\",\n",
|
||
" \"global\",\n",
|
||
" \"local\",\n",
|
||
" \"global\",\n",
|
||
" \"local\",\n",
|
||
" \"global\",\n",
|
||
" \"local\"\n",
|
||
" ],\n",
|
||
" \"attention_types\": [\n",
|
||
" [\n",
|
||
" [\n",
|
||
" \"global\",\n",
|
||
" \"local\"\n",
|
||
" ],\n",
|
||
" 6\n",
|
||
" ]\n",
|
||
" ],\n",
|
||
" \"bos_token_id\": 50256,\n",
|
||
" \"embed_dropout\": 0,\n",
|
||
" \"eos_token_id\": 50256,\n",
|
||
" \"gradient_checkpointing\": false,\n",
|
||
" \"hidden_size\": 768,\n",
|
||
" \"initializer_range\": 0.02,\n",
|
||
" \"intermediate_size\": null,\n",
|
||
" \"layer_norm_epsilon\": 1e-05,\n",
|
||
" \"max_position_embeddings\": 2048,\n",
|
||
" \"model_type\": \"gpt_neo\",\n",
|
||
" \"num_heads\": 12,\n",
|
||
" \"num_layers\": 12,\n",
|
||
" \"resid_dropout\": 0,\n",
|
||
" \"summary_activation\": null,\n",
|
||
" \"summary_first_dropout\": 0.1,\n",
|
||
" \"summary_proj_to_labels\": true,\n",
|
||
" \"summary_type\": \"cls_index\",\n",
|
||
" \"summary_use_proj\": true,\n",
|
||
" \"transformers_version\": \"4.9.0.dev0\",\n",
|
||
" \"use_cache\": true,\n",
|
||
" \"vocab_size\": 50257,\n",
|
||
" \"window_size\": 256\n",
|
||
"}\n",
|
||
"\n",
|
||
"loading configuration file https://huggingface.co/EleutherAI/gpt-neo-125M/resolve/main/config.json from cache at /home/arto/.cache/huggingface/transformers/29380fef22a43cbfb3d3a6c8e2f4fd951459584d87c34e4621b30580a54aca84.f0f7ebddfc6e15a23ac33e7fa95cd8cca05edf87cc74f9e3be7905f538a59762\n",
|
||
"Model config GPTNeoConfig {\n",
|
||
" \"activation_function\": \"gelu_new\",\n",
|
||
" \"architectures\": [\n",
|
||
" \"GPTNeoForCausalLM\"\n",
|
||
" ],\n",
|
||
" \"attention_dropout\": 0,\n",
|
||
" \"attention_layers\": [\n",
|
||
" \"global\",\n",
|
||
" \"local\",\n",
|
||
" \"global\",\n",
|
||
" \"local\",\n",
|
||
" \"global\",\n",
|
||
" \"local\",\n",
|
||
" \"global\",\n",
|
||
" \"local\",\n",
|
||
" \"global\",\n",
|
||
" \"local\",\n",
|
||
" \"global\",\n",
|
||
" \"local\"\n",
|
||
" ],\n",
|
||
" \"attention_types\": [\n",
|
||
" [\n",
|
||
" [\n",
|
||
" \"global\",\n",
|
||
" \"local\"\n",
|
||
" ],\n",
|
||
" 6\n",
|
||
" ]\n",
|
||
" ],\n",
|
||
" \"bos_token_id\": 50256,\n",
|
||
" \"embed_dropout\": 0,\n",
|
||
" \"eos_token_id\": 50256,\n",
|
||
" \"gradient_checkpointing\": false,\n",
|
||
" \"hidden_size\": 768,\n",
|
||
" \"initializer_range\": 0.02,\n",
|
||
" \"intermediate_size\": null,\n",
|
||
" \"layer_norm_epsilon\": 1e-05,\n",
|
||
" \"max_position_embeddings\": 2048,\n",
|
||
" \"model_type\": \"gpt_neo\",\n",
|
||
" \"num_heads\": 12,\n",
|
||
" \"num_layers\": 12,\n",
|
||
" \"resid_dropout\": 0,\n",
|
||
" \"summary_activation\": null,\n",
|
||
" \"summary_first_dropout\": 0.1,\n",
|
||
" \"summary_proj_to_labels\": true,\n",
|
||
" \"summary_type\": \"cls_index\",\n",
|
||
" \"summary_use_proj\": true,\n",
|
||
" \"transformers_version\": \"4.9.0.dev0\",\n",
|
||
" \"use_cache\": true,\n",
|
||
" \"vocab_size\": 50257,\n",
|
||
" \"window_size\": 256\n",
|
||
"}\n",
|
||
"\n",
|
||
"loading file https://huggingface.co/EleutherAI/gpt-neo-125M/resolve/main/vocab.json from cache at /home/arto/.cache/huggingface/transformers/08c00c4159e921d4c941ac75732643373aba509d9b352a82bbbb043a94058d98.a552555fdda56a1c7c9a285bccfd44ac8e4b9e26c8c9b307831b3ea3ac782b45\n",
|
||
"loading file https://huggingface.co/EleutherAI/gpt-neo-125M/resolve/main/merges.txt from cache at /home/arto/.cache/huggingface/transformers/12305762709d884a770efe7b0c68a7f4bc918da44e956058d43da0d12f7bea20.5d12962c5ee615a4c803841266e9c3be9a691a924f72d395d3a6c6c81157788b\n",
|
||
"loading file https://huggingface.co/EleutherAI/gpt-neo-125M/resolve/main/tokenizer.json from cache at None\n",
|
||
"loading file https://huggingface.co/EleutherAI/gpt-neo-125M/resolve/main/added_tokens.json from cache at None\n",
|
||
"loading file https://huggingface.co/EleutherAI/gpt-neo-125M/resolve/main/special_tokens_map.json from cache at /home/arto/.cache/huggingface/transformers/6c3239a63aaf46ec7625b38abfe41fc2ce0b25f90800aefe6526256340d4ab6d.2b8bf81243d08385c806171bc7ced6d2a0dcc7f896ca637f4e777418f7f0cc3c\n",
|
||
"loading file https://huggingface.co/EleutherAI/gpt-neo-125M/resolve/main/tokenizer_config.json from cache at /home/arto/.cache/huggingface/transformers/3cc88b3aa29bb2546db2dc21783292e2a086bb7158c7b5ceddeb24158a85c183.e74f7c3643ee79eb023ead36008be72fe726dada60fa3b2a0569925cfefa1e74\n",
|
||
"loading weights file https://huggingface.co/EleutherAI/gpt-neo-125M/resolve/main/flax_model.msgpack from cache at /home/arto/.cache/huggingface/transformers/86b67f0b86eaa4932dabbbc6f42b33001baa8a069569d4d556d6f6754a43566d.77f87bf1f13f66c14b127d42fb39f9d4fff2e3b5679330a5a0efd6e91c91ce6c\n",
|
||
"All model checkpoint weights were used when initializing FlaxGPTNeoForCausalLM.\n",
|
||
"\n",
|
||
"All the weights of FlaxGPTNeoForCausalLM were initialized from the model checkpoint at EleutherAI/gpt-neo-125M.\n",
|
||
"If your task is similar to the task the model of the checkpoint was trained on, you can already use FlaxGPTNeoForCausalLM for predictions without further training.\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"# Load pretrained model and tokenizer\n",
|
||
"\n",
|
||
"# Distributed training:\n",
|
||
"# The .from_pretrained methods guarantee that only one local process can concurrently\n",
|
||
"# download model & vocab.\n",
|
||
"if model_args.config_name:\n",
|
||
" config = AutoConfig.from_pretrained(model_args.config_name, cache_dir=model_args.cache_dir)\n",
|
||
"elif model_args.model_name_or_path:\n",
|
||
" config = AutoConfig.from_pretrained(model_args.model_name_or_path, cache_dir=model_args.cache_dir)\n",
|
||
"else:\n",
|
||
" config = CONFIG_MAPPING[model_args.model_type]()\n",
|
||
" logger.warning(\"You are instantiating a new config instance from scratch.\")\n",
|
||
"\n",
|
||
"if model_args.tokenizer_name:\n",
|
||
" tokenizer = AutoTokenizer.from_pretrained(\n",
|
||
" model_args.tokenizer_name, cache_dir=model_args.cache_dir, use_fast=model_args.use_fast_tokenizer\n",
|
||
" )\n",
|
||
"elif model_args.model_name_or_path:\n",
|
||
" tokenizer = AutoTokenizer.from_pretrained(\n",
|
||
" model_args.model_name_or_path, cache_dir=model_args.cache_dir, use_fast=model_args.use_fast_tokenizer\n",
|
||
" )\n",
|
||
"else:\n",
|
||
" raise ValueError(\n",
|
||
" \"You are instantiating a new tokenizer from scratch. This is not supported by this script.\"\n",
|
||
" \"You can do it from another script, save it, and load it from here, using --tokenizer_name.\"\n",
|
||
" )\n",
|
||
"\n",
|
||
"if model_args.model_name_or_path:\n",
|
||
" model = FlaxAutoModelForCausalLM.from_pretrained(\n",
|
||
" model_args.model_name_or_path, config=config, seed=training_args.seed, dtype=getattr(jnp, model_args.dtype)\n",
|
||
" )\n",
|
||
"else:\n",
|
||
" model = FlaxAutoModelForCausalLM.from_config(\n",
|
||
" config, seed=training_args.seed, dtype=getattr(jnp, model_args.dtype)\n",
|
||
" )"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 25,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Token indices sequence length is longer than the specified maximum sequence length for this model (2397 > 2048). Running this sequence through the model will result in indexing errors\n",
|
||
"^^^^^^^^^^^^^^^^ Please ignore the warning above - this long input will be chunked into smaller bits before being passed to the model.\n",
|
||
"Token indices sequence length is longer than the specified maximum sequence length for this model (3042 > 2048). Running this sequence through the model will result in indexing errors\n",
|
||
"Token indices sequence length is longer than the specified maximum sequence length for this model (2571 > 2048). Running this sequence through the model will result in indexing errors\n",
|
||
"^^^^^^^^^^^^^^^^ Please ignore the warning above - this long input will be chunked into smaller bits before being passed to the model.\n",
|
||
"^^^^^^^^^^^^^^^^ Please ignore the warning above - this long input will be chunked into smaller bits before being passed to the model.\n",
|
||
"Token indices sequence length is longer than the specified maximum sequence length for this model (2090 > 2048). Running this sequence through the model will result in indexing errors\n",
|
||
"^^^^^^^^^^^^^^^^ Please ignore the warning above - this long input will be chunked into smaller bits before being passed to the model.\n",
|
||
"Token indices sequence length is longer than the specified maximum sequence length for this model (4783 > 2048). Running this sequence through the model will result in indexing errors\n",
|
||
"^^^^^^^^^^^^^^^^ Please ignore the warning above - this long input will be chunked into smaller bits before being passed to the model.\n",
|
||
"Token indices sequence length is longer than the specified maximum sequence length for this model (3104 > 2048). Running this sequence through the model will result in indexing errors\n",
|
||
"^^^^^^^^^^^^^^^^ Please ignore the warning above - this long input will be chunked into smaller bits before being passed to the model.\n",
|
||
"Token indices sequence length is longer than the specified maximum sequence length for this model (3366 > 2048). Running this sequence through the model will result in indexing errors\n",
|
||
"^^^^^^^^^^^^^^^^ Please ignore the warning above - this long input will be chunked into smaller bits before being passed to the model.\n",
|
||
"Token indices sequence length is longer than the specified maximum sequence length for this model (3897 > 2048). Running this sequence through the model will result in indexing errors\n",
|
||
"^^^^^^^^^^^^^^^^ Please ignore the warning above - this long input will be chunked into smaller bits before being passed to the model.\n",
|
||
"Token indices sequence length is longer than the specified maximum sequence length for this model (2272 > 2048). Running this sequence through the model will result in indexing errors\n",
|
||
"^^^^^^^^^^^^^^^^ Please ignore the warning above - this long input will be chunked into smaller bits before being passed to the model.\n",
|
||
"Token indices sequence length is longer than the specified maximum sequence length for this model (2321 > 2048). Running this sequence through the model will result in indexing errors\n",
|
||
"^^^^^^^^^^^^^^^^ Please ignore the warning above - this long input will be chunked into smaller bits before being passed to the model.\n",
|
||
"Token indices sequence length is longer than the specified maximum sequence length for this model (7101 > 2048). Running this sequence through the model will result in indexing errors\n",
|
||
"^^^^^^^^^^^^^^^^ Please ignore the warning above - this long input will be chunked into smaller bits before being passed to the model.\n",
|
||
"Token indices sequence length is longer than the specified maximum sequence length for this model (6130 > 2048). Running this sequence through the model will result in indexing errors\n",
|
||
"^^^^^^^^^^^^^^^^ Please ignore the warning above - this long input will be chunked into smaller bits before being passed to the model.\n",
|
||
"Token indices sequence length is longer than the specified maximum sequence length for this model (3291 > 2048). Running this sequence through the model will result in indexing errors\n",
|
||
"Token indices sequence length is longer than the specified maximum sequence length for this model (2492 > 2048). Running this sequence through the model will result in indexing errors\n",
|
||
"^^^^^^^^^^^^^^^^ Please ignore the warning above - this long input will be chunked into smaller bits before being passed to the model.\n",
|
||
"^^^^^^^^^^^^^^^^ Please ignore the warning above - this long input will be chunked into smaller bits before being passed to the model.\n",
|
||
"Token indices sequence length is longer than the specified maximum sequence length for this model (2694 > 2048). Running this sequence through the model will result in indexing errors\n",
|
||
"^^^^^^^^^^^^^^^^ Please ignore the warning above - this long input will be chunked into smaller bits before being passed to the model.\n",
|
||
"Token indices sequence length is longer than the specified maximum sequence length for this model (2402 > 2048). Running this sequence through the model will result in indexing errors\n",
|
||
"^^^^^^^^^^^^^^^^ Please ignore the warning above - this long input will be chunked into smaller bits before being passed to the model.\n",
|
||
"Token indices sequence length is longer than the specified maximum sequence length for this model (2559 > 2048). Running this sequence through the model will result in indexing errors\n",
|
||
"^^^^^^^^^^^^^^^^ Please ignore the warning above - this long input will be chunked into smaller bits before being passed to the model.\n",
|
||
"Token indices sequence length is longer than the specified maximum sequence length for this model (3021 > 2048). Running this sequence through the model will result in indexing errors\n",
|
||
"^^^^^^^^^^^^^^^^ Please ignore the warning above - this long input will be chunked into smaller bits before being passed to the model.\n",
|
||
"Token indices sequence length is longer than the specified maximum sequence length for this model (3446 > 2048). Running this sequence through the model will result in indexing errors\n",
|
||
"^^^^^^^^^^^^^^^^ Please ignore the warning above - this long input will be chunked into smaller bits before being passed to the model.\n",
|
||
"Token indices sequence length is longer than the specified maximum sequence length for this model (3679 > 2048). Running this sequence through the model will result in indexing errors\n",
|
||
"^^^^^^^^^^^^^^^^ Please ignore the warning above - this long input will be chunked into smaller bits before being passed to the model.\n",
|
||
"Token indices sequence length is longer than the specified maximum sequence length for this model (3164 > 2048). Running this sequence through the model will result in indexing errors\n",
|
||
"^^^^^^^^^^^^^^^^ Please ignore the warning above - this long input will be chunked into smaller bits before being passed to the model.\n",
|
||
"Token indices sequence length is longer than the specified maximum sequence length for this model (2129 > 2048). Running this sequence through the model will result in indexing errors\n",
|
||
"^^^^^^^^^^^^^^^^ Please ignore the warning above - this long input will be chunked into smaller bits before being passed to the model.\n",
|
||
"Token indices sequence length is longer than the specified maximum sequence length for this model (4533 > 2048). Running this sequence through the model will result in indexing errors\n",
|
||
"^^^^^^^^^^^^^^^^ Please ignore the warning above - this long input will be chunked into smaller bits before being passed to the model.\n",
|
||
"Token indices sequence length is longer than the specified maximum sequence length for this model (3615 > 2048). Running this sequence through the model will result in indexing errors\n",
|
||
"^^^^^^^^^^^^^^^^ Please ignore the warning above - this long input will be chunked into smaller bits before being passed to the model.\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"# Preprocessing the datasets.\n",
|
||
"# First we tokenize all the texts.\n",
|
||
"if training_args.do_train:\n",
|
||
" column_names = dataset[\"train\"].column_names\n",
|
||
"else:\n",
|
||
" column_names = dataset[\"validation\"].column_names\n",
|
||
"text_column_name = \"func_code_string\"#\"text\" if \"text\" in column_names else column_names[0]\n",
|
||
"\n",
|
||
"# since this will be pickled to avoid _LazyModule error in Hasher force logger loading before tokenize_function\n",
|
||
"tok_logger = transformers.utils.logging.get_logger(\"transformers.tokenization_utils_base\")\n",
|
||
"\n",
|
||
"def tokenize_function(examples):\n",
|
||
" with CaptureLogger(tok_logger) as cl:\n",
|
||
" output = tokenizer(examples[text_column_name])\n",
|
||
" # clm input could be much much longer than block_size\n",
|
||
" if \"Token indices sequence length is longer than the\" in cl.out:\n",
|
||
" tok_logger.warning(\n",
|
||
" \"^^^^^^^^^^^^^^^^ Please ignore the warning above - this long input will be chunked into smaller bits before being passed to the model.\"\n",
|
||
" )\n",
|
||
" return output\n",
|
||
"\n",
|
||
"tokenized_datasets = dataset.map(\n",
|
||
" tokenize_function,\n",
|
||
" batched=True,\n",
|
||
" num_proc=data_args.preprocessing_num_workers,\n",
|
||
" remove_columns=column_names,\n",
|
||
" load_from_cache_file=not data_args.overwrite_cache,\n",
|
||
")"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 26,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"if data_args.block_size is None:\n",
|
||
" block_size = tokenizer.model_max_length\n",
|
||
" if block_size > config.max_position_embeddings:\n",
|
||
" logger.warning(\n",
|
||
" f\"The tokenizer picked seems to have a very large `model_max_length` ({tokenizer.model_max_length}). \"\n",
|
||
" \"Picking 1024 instead. You can change that default value by passing --block_size xxx.\"\n",
|
||
" )\n",
|
||
" block_size = 1024\n",
|
||
"else:\n",
|
||
" if data_args.block_size > tokenizer.model_max_length:\n",
|
||
" logger.warning(\n",
|
||
" f\"The block_size passed ({data_args.block_size}) is larger than the maximum length for the model\"\n",
|
||
" f\"({tokenizer.model_max_length}). Using block_size={tokenizer.model_max_length}.\"\n",
|
||
" )\n",
|
||
" block_size = min(data_args.block_size, tokenizer.model_max_length)\n",
|
||
"\n",
|
||
"# Main data processing function that will concatenate all texts from our dataset and generate chunks of block_size.\n",
|
||
"def group_texts(examples):\n",
|
||
" # Concatenate all texts.\n",
|
||
" concatenated_examples = {k: sum(examples[k], []) for k in examples.keys()}\n",
|
||
" total_length = len(concatenated_examples[list(examples.keys())[0]])\n",
|
||
" # We drop the small remainder, we could add padding if the model supported it instead of this drop, you can\n",
|
||
" # customize this part to your needs.\n",
|
||
" total_length = (total_length // block_size) * block_size\n",
|
||
" # Split by chunks of max_len.\n",
|
||
" result = {\n",
|
||
" k: [t[i : i + block_size] for i in range(0, total_length, block_size)]\n",
|
||
" for k, t in concatenated_examples.items()\n",
|
||
" }\n",
|
||
" result[\"labels\"] = result[\"input_ids\"].copy()\n",
|
||
" return result"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 27,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"https://symbolize.stripped_domain/r/?trace=5cd26c,7f1df8ce520f&map= \n",
|
||
"*** SIGTERM received by PID 398567 (TID 398567) on cpu 25 from PID 392558; stack trace: ***\n",
|
||
"PC: @ 0x5cd26c (unknown) (unknown)\n",
|
||
" @ 0x7f1de7392800 976 (unknown)\n",
|
||
" @ 0x7f1df8ce5210 (unknown) (unknown)\n",
|
||
"https://symbolize.stripped_domain/r/?trace=5cd26c,7f1de73927ff,7f1df8ce520f&map=2a762cd764e70bc90ae4c7f9747c08d7:7f1dda450000-7f1de76d1280 \n",
|
||
"E0705 16:13:48.265578 398567 coredump_hook.cc:250] RAW: Remote crash gathering disabled for SIGTERM.\n",
|
||
"E0705 16:13:48.276141 398567 process_state.cc:771] RAW: Raising signal 15 with default behavior\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"# Note that with `batched=True`, this map processes 1,000 texts together, so group_texts throws away a remainder\n",
|
||
"# for each of those groups of 1,000 texts. You can adjust that batch_size here but a higher value might be slower\n",
|
||
"# to preprocess.\n",
|
||
"#\n",
|
||
"# To speed up this part, we use multiprocessing. See the documentation of the map method for more information:\n",
|
||
"# https://huggingface.co/docs/datasets/package_reference/main_classes.html#datasets.Dataset.map\n",
|
||
"\n",
|
||
"lm_datasets = tokenized_datasets.map(\n",
|
||
" group_texts,\n",
|
||
" batched=True,\n",
|
||
" num_proc=data_args.preprocessing_num_workers,\n",
|
||
" load_from_cache_file=not data_args.overwrite_cache,\n",
|
||
")"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 28,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"2021-07-05 16:13:48.414578: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory\n",
|
||
"2021-07-05 16:13:48.414616: W tensorflow/stream_executor/cuda/cuda_driver.cc:269] failed call to cuInit: UNKNOWN ERROR (303)\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"if training_args.do_train:\n",
|
||
" if \"train\" not in tokenized_datasets:\n",
|
||
" raise ValueError(\"--do_train requires a train dataset\")\n",
|
||
" train_dataset = lm_datasets[\"train\"]\n",
|
||
" if data_args.max_train_samples is not None:\n",
|
||
" train_dataset = train_dataset.select(range(data_args.max_train_samples))\n",
|
||
"\n",
|
||
"if training_args.do_eval:\n",
|
||
" if \"validation\" not in tokenized_datasets:\n",
|
||
" raise ValueError(\"--do_eval requires a validation dataset\")\n",
|
||
" eval_dataset = lm_datasets[\"validation\"]\n",
|
||
" if data_args.max_eval_samples is not None:\n",
|
||
" eval_dataset = eval_dataset.select(range(data_args.max_eval_samples))\n",
|
||
"\n",
|
||
"# Enable tensorboard only on the master node\n",
|
||
"if has_tensorboard and jax.process_index() == 0:\n",
|
||
" summary_writer = SummaryWriter(log_dir=Path(training_args.output_dir))"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 29,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"# Initialize our training\n",
|
||
"rng = jax.random.PRNGKey(training_args.seed)\n",
|
||
"rng, dropout_rng = jax.random.split(rng)\n",
|
||
"\n",
|
||
"# Store some constant\n",
|
||
"num_epochs = int(training_args.num_train_epochs)\n",
|
||
"train_batch_size = int(training_args.per_device_train_batch_size) * jax.device_count()\n",
|
||
"eval_batch_size = int(training_args.per_device_eval_batch_size) * jax.device_count()\n",
|
||
"steps_per_epoch = len(train_dataset) // train_batch_size\n",
|
||
"total_train_steps = steps_per_epoch * num_epochs\n",
|
||
"\n",
|
||
"# Create learning rate schedule\n",
|
||
"linear_decay_lr_schedule_fn = create_learning_rate_fn(\n",
|
||
" len(train_dataset),\n",
|
||
" train_batch_size,\n",
|
||
" training_args.num_train_epochs,\n",
|
||
" training_args.warmup_ratio,\n",
|
||
" training_args.learning_rate,\n",
|
||
")\n",
|
||
"\n",
|
||
"# We use Optax's \"masking\" functionality to not apply weight decay\n",
|
||
"# to bias and LayerNorm scale parameters. decay_mask_fn returns a\n",
|
||
"# mask boolean with the same structure as the parameters.\n",
|
||
"# The mask is True for parameters that should be decayed.\n",
|
||
"# Note that this mask is specifically adapted for FlaxGPT2.\n",
|
||
"# For other models, one should correct the layer norm parameter naming\n",
|
||
"# accordingly.\n",
|
||
"def decay_mask_fn(params):\n",
|
||
" flat_params = traverse_util.flatten_dict(params)\n",
|
||
" flat_mask = {\n",
|
||
" path: (path[-1] != \"bias\" and path[-2:] not in [(\"ln_1\", \"scale\"), (\"ln_2\", \"scale\"), (\"ln_f\", \"scale\")])\n",
|
||
" for path in flat_params\n",
|
||
" }\n",
|
||
" return traverse_util.unflatten_dict(flat_mask)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 30,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"# create optimizer\n",
|
||
"if training_args.adafactor:\n",
|
||
" #TODO: figure out proper hyperparameters\n",
|
||
" adafactor = optax.adafactor(\n",
|
||
" learning_rate=linear_decay_lr_schedule_fn,\n",
|
||
" )\n",
|
||
"else:\n",
|
||
" adamw = optax.adamw(\n",
|
||
" learning_rate=linear_decay_lr_schedule_fn,\n",
|
||
" b1=training_args.adam_beta1,\n",
|
||
" b2=training_args.adam_beta2,\n",
|
||
" eps=training_args.adam_epsilon,\n",
|
||
" weight_decay=training_args.weight_decay,\n",
|
||
" mask=decay_mask_fn,\n",
|
||
" )"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 31,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"/home/arto/jenv/lib/python3.8/site-packages/jax/lib/xla_bridge.py:382: UserWarning: jax.host_count has been renamed to jax.process_count. This alias will eventually be removed; please update your code.\n",
|
||
" warnings.warn(\n",
|
||
"/home/arto/jenv/lib/python3.8/site-packages/jax/lib/xla_bridge.py:369: UserWarning: jax.host_id has been renamed to jax.process_index. This alias will eventually be removed; please update your code.\n",
|
||
" warnings.warn(\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"# Setup train state\n",
|
||
"state = TrainState.create(apply_fn=model.__call__, params=model.params, tx=adamw, dropout_rng=dropout_rng)\n",
|
||
"\n",
|
||
"def loss_fn(logits, labels):\n",
|
||
" shift_logits = logits[..., :-1, :]\n",
|
||
" shift_labels = labels[..., 1:]\n",
|
||
" loss = optax.softmax_cross_entropy(shift_logits, onehot(shift_labels, shift_logits.shape[-1]))\n",
|
||
" return loss.mean()\n",
|
||
"\n",
|
||
"# Define gradient update step fn\n",
|
||
"def train_step(state, batch):\n",
|
||
" dropout_rng, new_dropout_rng = jax.random.split(state.dropout_rng)\n",
|
||
"\n",
|
||
" def compute_loss(params):\n",
|
||
" labels = batch.pop(\"labels\")\n",
|
||
" logits = state.apply_fn(**batch, params=params, dropout_rng=dropout_rng, train=True)[0]\n",
|
||
" loss = loss_fn(logits, labels)\n",
|
||
" return loss\n",
|
||
"\n",
|
||
" grad_fn = jax.value_and_grad(compute_loss)\n",
|
||
" loss, grad = grad_fn(state.params)\n",
|
||
" grad = jax.lax.pmean(grad, \"batch\")\n",
|
||
"\n",
|
||
" new_state = state.apply_gradients(grads=grad, dropout_rng=new_dropout_rng)\n",
|
||
"\n",
|
||
" metrics = {\"loss\": loss, \"learning_rate\": linear_decay_lr_schedule_fn(state.step)}\n",
|
||
" metrics = jax.lax.pmean(metrics, axis_name=\"batch\")\n",
|
||
"\n",
|
||
" return new_state, metrics\n",
|
||
"\n",
|
||
"# Define eval fn\n",
|
||
"def eval_step(params, batch):\n",
|
||
" labels = batch.pop(\"labels\")\n",
|
||
" logits = model(**batch, params=params, train=False)[0]\n",
|
||
" loss = loss_fn(logits, labels)\n",
|
||
"\n",
|
||
" # summarize metrics\n",
|
||
" metrics = {\"loss\": loss}\n",
|
||
" metrics = jax.lax.pmean(metrics, axis_name=\"batch\")\n",
|
||
" return metrics\n",
|
||
"\n",
|
||
"# Create parallel version of the train and eval step\n",
|
||
"p_train_step = jax.pmap(train_step, \"batch\", donate_argnums=(0,))\n",
|
||
"p_eval_step = jax.pmap(eval_step, \"batch\")\n",
|
||
"\n",
|
||
"# Replicate the train state on each device\n",
|
||
"state = state.replicate()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 32,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"import jax.profiler\n",
|
||
"server = jax.profiler.start_server(9999)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 33,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"INFO:__main__:***** Running training *****\n",
|
||
"INFO:__main__: Num examples = 388109\n",
|
||
"INFO:__main__: Num Epochs = 1\n",
|
||
"INFO:__main__: Instantaneous batch size per device = 32\n",
|
||
"INFO:__main__: Total train batch size (w. parallel & distributed) = 256\n",
|
||
"INFO:__main__: Total optimization steps = 1516\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
"application/vnd.jupyter.widget-view+json": {
|
||
"model_id": "30dcec1042fe4d289eb916a1523de78f",
|
||
"version_major": 2,
|
||
"version_minor": 0
|
||
},
|
||
"text/plain": [
|
||
"Epoch ... (1/1): 0%| | 0/1 [00:00<?, ?it/s]"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"application/vnd.jupyter.widget-view+json": {
|
||
"model_id": "",
|
||
"version_major": 2,
|
||
"version_minor": 0
|
||
},
|
||
"text/plain": [
|
||
"Training...: 0%| | 0/1516 [00:00<?, ?it/s]"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"2021-07-05 16:14:33.662106: W external/org_tensorflow/tensorflow/core/profiler/lib/profiler_session.cc:137] Profiling is late by 1484813 nanoseconds and will start immediately.\n",
|
||
"2021-07-05 16:14:34.907817: W external/org_tensorflow/tensorflow/core/profiler/lib/profiler_session.cc:137] Profiling is late by 1274842 nanoseconds and will start immediately.\n",
|
||
"2021-07-05 16:14:36.095557: W external/org_tensorflow/tensorflow/core/profiler/lib/profiler_session.cc:137] Profiling is late by 1554296 nanoseconds and will start immediately.\n",
|
||
"2021-07-05 16:14:37.288099: W external/org_tensorflow/tensorflow/core/profiler/lib/profiler_session.cc:137] Profiling is late by 1344215 nanoseconds and will start immediately.\n",
|
||
"2021-07-05 16:14:56.774429: W external/org_tensorflow/tensorflow/core/profiler/lib/profiler_session.cc:137] Profiling is late by 1343450 nanoseconds and will start immediately.\n"
|
||
]
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Epoch... (1/1 | Loss: 1.167898178100586, Learning Rate: 2.197802189130016e-07)\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
"application/vnd.jupyter.widget-view+json": {
|
||
"model_id": "",
|
||
"version_major": 2,
|
||
"version_minor": 0
|
||
},
|
||
"text/plain": [
|
||
"Evaluating...: 0%| | 0/90 [00:00<?, ?it/s]"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Epoch... (1/1 | Eval Loss: 1.2450062036514282 | Eval Perplexity: 3.472956344280582)\n"
|
||
]
|
||
},
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Configuration saved in /home/arto/gpt-neo-125M-code-clippy/config.json\n",
|
||
"Model weights saved in /home/arto/gpt-neo-125M-code-clippy/flax_model.msgpack\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"logger.info(\"***** Running training *****\")\n",
|
||
"logger.info(f\" Num examples = {len(train_dataset)}\")\n",
|
||
"logger.info(f\" Num Epochs = {num_epochs}\")\n",
|
||
"logger.info(f\" Instantaneous batch size per device = {training_args.per_device_train_batch_size}\")\n",
|
||
"logger.info(f\" Total train batch size (w. parallel & distributed) = {train_batch_size}\")\n",
|
||
"logger.info(f\" Total optimization steps = {total_train_steps}\")\n",
|
||
"\n",
|
||
"train_time = 0\n",
|
||
"epochs = tqdm(range(num_epochs), desc=f\"Epoch ... (1/{num_epochs})\", position=0)\n",
|
||
"for epoch in epochs:\n",
|
||
" # ======================== Training ================================\n",
|
||
" train_start = time.time()\n",
|
||
"\n",
|
||
" # Create sampling rng\n",
|
||
" rng, input_rng = jax.random.split(rng)\n",
|
||
" train_metrics = []\n",
|
||
"\n",
|
||
" # Generate an epoch by shuffling sampling indices from the train dataset\n",
|
||
" train_loader = data_loader(input_rng, train_dataset, train_batch_size, shuffle=True)\n",
|
||
" steps_per_epoch = len(train_dataset) // train_batch_size\n",
|
||
" # train\n",
|
||
" for _ in tqdm(range(steps_per_epoch), desc=\"Training...\", position=1, leave=False):\n",
|
||
" batch = next(train_loader)\n",
|
||
" state, train_metric = p_train_step(state, batch)\n",
|
||
" train_metrics.append(train_metric)\n",
|
||
"\n",
|
||
" train_time += time.time() - train_start\n",
|
||
"\n",
|
||
" train_metric = unreplicate(train_metric)\n",
|
||
"\n",
|
||
" epochs.write(\n",
|
||
" f\"Epoch... ({epoch + 1}/{num_epochs} | Loss: {train_metric['loss']}, Learning Rate: {train_metric['learning_rate']})\"\n",
|
||
" )\n",
|
||
"\n",
|
||
" # ======================== Evaluating ==============================\n",
|
||
" eval_metrics = []\n",
|
||
" eval_loader = data_loader(input_rng, eval_dataset, eval_batch_size)\n",
|
||
" eval_steps = len(eval_dataset) // eval_batch_size\n",
|
||
" for _ in tqdm(range(eval_steps), desc=\"Evaluating...\", position=2, leave=False):\n",
|
||
" # Model forward\n",
|
||
" batch = next(eval_loader)\n",
|
||
" metrics = p_eval_step(state.params, batch)\n",
|
||
" eval_metrics.append(metrics)\n",
|
||
"\n",
|
||
" # normalize eval metrics\n",
|
||
" eval_metrics = get_metrics(eval_metrics)\n",
|
||
"\n",
|
||
" eval_metrics = jax.tree_map(jnp.mean, eval_metrics)\n",
|
||
"\n",
|
||
" try:\n",
|
||
" eval_metrics[\"perplexity\"] = math.exp(eval_metrics[\"loss\"])\n",
|
||
" except OverflowError:\n",
|
||
" eval_metrics[\"perplexity\"] = float(\"inf\")\n",
|
||
"\n",
|
||
" # Print metrics and update progress bar\n",
|
||
" desc = f\"Epoch... ({epoch + 1}/{num_epochs} | Eval Loss: {eval_metrics['loss']} | Eval Perplexity: {eval_metrics['perplexity']})\"\n",
|
||
" epochs.write(desc)\n",
|
||
" epochs.desc = desc\n",
|
||
"\n",
|
||
" # Save metrics\n",
|
||
" if has_tensorboard and jax.process_index() == 0:\n",
|
||
" cur_step = epoch * (len(train_dataset) // train_batch_size)\n",
|
||
" write_metric(summary_writer, train_metrics, eval_metrics, train_time, cur_step)\n",
|
||
"\n",
|
||
" # save checkpoint after each epoch and push checkpoint to the hub\n",
|
||
" if jax.process_index() == 0:\n",
|
||
" params = jax.device_get(unreplicate(state.params))\n",
|
||
" model.save_pretrained(\n",
|
||
" training_args.output_dir,\n",
|
||
" params=params,\n",
|
||
" push_to_hub=training_args.push_to_hub,\n",
|
||
" commit_message=f\"Saving weights and logs of epoch {epoch+1}\",\n",
|
||
" )\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": []
|
||
}
|
||
],
|
||
"metadata": {
|
||
"accelerator": "TPU",
|
||
"colab": {
|
||
"collapsed_sections": [],
|
||
"name": "Causal Language Model Training on TPU with 🤗 Transformers & JAX",
|
||
"provenance": [],
|
||
"toc_visible": true
|
||
},
|
||
"kernelspec": {
|
||
"display_name": "Python 3 (ipykernel)",
|
||
"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"
|
||
},
|
||
"widgets": {
|
||
"application/vnd.jupyter.widget-state+json": {
|
||
"01d1c1e078e7403daabd1e7d8d5a4fda": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"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
|
||
}
|
||
},
|
||
"02b1a546bc334efa93ba8dff5890dd0c": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"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
|
||
}
|
||
},
|
||
"02b454a4d7ce44b0b819fc7085b1d357": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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_7db664fc575747af8e10ad6f2783a166",
|
||
"placeholder": "",
|
||
"style": "IPY_MODEL_b6f9da40231f4404bb0c90458c94c5c2",
|
||
"value": " 12/12 [00:05<00:00, 2.35it/s]"
|
||
}
|
||
},
|
||
"07b26680343f42fc805a3b52b398a5f2": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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": "initial"
|
||
}
|
||
},
|
||
"07fe952dec2b4f2687bcddec8701a70e": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"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
|
||
}
|
||
},
|
||
"0973226c646f4bb28f291ed3eb4e5cba": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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": ""
|
||
}
|
||
},
|
||
"0a6a241c99bb49ad9baaef052b157964": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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_2fde17ab63e5444799ec1dc5501d946e",
|
||
"placeholder": "",
|
||
"style": "IPY_MODEL_2c311c4506264995b7fbaba02333e747",
|
||
"value": " 137/137 [01:38<00:00, 1.40it/s]"
|
||
}
|
||
},
|
||
"0b898451f79c4b6eb1678a8f366a5cbf": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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": "initial"
|
||
}
|
||
},
|
||
"0ba00c3340414029938c9c947d4a74b6": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"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
|
||
}
|
||
},
|
||
"0e2531c122b44823a012ba844066e60c": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"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
|
||
}
|
||
},
|
||
"11f8b1ddd5af4bb3babd492bbaf3fb7d": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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": "initial"
|
||
}
|
||
},
|
||
"125e8d57908f4679824c96d5247f7119": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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_b08557f6936e4af9a23f659649979c8d",
|
||
"placeholder": "",
|
||
"style": "IPY_MODEL_e246db4008b14a23b55d2820be3b1ed8",
|
||
"value": " 10/10 [19:05<00:00, 114.56s/it]"
|
||
}
|
||
},
|
||
"1462263d23c340e781d596a3f5414e03": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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": "",
|
||
"description": "Evaluation...: 100%",
|
||
"description_tooltip": null,
|
||
"layout": "IPY_MODEL_f2c541b4ecd04729a518414f8b878099",
|
||
"max": 12,
|
||
"min": 0,
|
||
"orientation": "horizontal",
|
||
"style": "IPY_MODEL_f0aa35a704a84967a3471e5f698bb04c",
|
||
"value": 12
|
||
}
|
||
},
|
||
"146ce87ac5b445e385285bdbbd70fba9": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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": "",
|
||
"description": "Training...: 100%",
|
||
"description_tooltip": null,
|
||
"layout": "IPY_MODEL_6f5f003a277244b2824e09b877fefa74",
|
||
"max": 137,
|
||
"min": 0,
|
||
"orientation": "horizontal",
|
||
"style": "IPY_MODEL_cd26f91d46ef42609d265f0b709c3401",
|
||
"value": 137
|
||
}
|
||
},
|
||
"173704b44e2c472499bc4242ef9e0863": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"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
|
||
}
|
||
},
|
||
"181f0680e5bb4d23a69f9cc747207883": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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": ""
|
||
}
|
||
},
|
||
"194f5ce951d54193b887f1cc91e3640b": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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_1fe6ad92e6834142844bb32e7a0d424d",
|
||
"IPY_MODEL_9d905b40bf2746e79abad7257cf8654f"
|
||
],
|
||
"layout": "IPY_MODEL_d8770c573383466f81d7dfd01f048677"
|
||
}
|
||
},
|
||
"1bfe0a0ab5694e1d857ea981090d4f09": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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_5a6ea875aeff4688ba37481af5b5d9fe",
|
||
"placeholder": "",
|
||
"style": "IPY_MODEL_3b802a49c0824b968d88350f82ff8422",
|
||
"value": " 12/12 [00:05<00:00, 2.35it/s]"
|
||
}
|
||
},
|
||
"1e17af39c928463b800d22ad1fe533e5": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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_f48e444c929748b2a875c6eecc028bc4",
|
||
"placeholder": "",
|
||
"style": "IPY_MODEL_987310405403439893813fb8c5da94a1",
|
||
"value": " 137/137 [01:36<00:00, 1.41it/s]"
|
||
}
|
||
},
|
||
"1ed01b7ba2a64bebbbf0e641c8d1560e": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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_63f47b7d6bc849d1b869367a6ba8b40f",
|
||
"IPY_MODEL_1bfe0a0ab5694e1d857ea981090d4f09"
|
||
],
|
||
"layout": "IPY_MODEL_bfadf2c9e99c48e4860c2a67b2955120"
|
||
}
|
||
},
|
||
"1f836daeb9b7495a9ae00bc2c28fa212": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"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
|
||
}
|
||
},
|
||
"1fe6ad92e6834142844bb32e7a0d424d": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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": "",
|
||
"description": "Evaluation...: 100%",
|
||
"description_tooltip": null,
|
||
"layout": "IPY_MODEL_1f836daeb9b7495a9ae00bc2c28fa212",
|
||
"max": 12,
|
||
"min": 0,
|
||
"orientation": "horizontal",
|
||
"style": "IPY_MODEL_bfa957f8482847978542373db16cfa8a",
|
||
"value": 12
|
||
}
|
||
},
|
||
"22941d4a640b4d8bba1b97f723da0ef0": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"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
|
||
}
|
||
},
|
||
"23187b20efd44965966d6576c0d057aa": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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": ""
|
||
}
|
||
},
|
||
"2374ba361eaa41899b7eabe7da829259": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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_6eaf7a1f2e5e4aa590da55adf969ecc6",
|
||
"IPY_MODEL_29b0ec79b8134168a5e3ae382088c147"
|
||
],
|
||
"layout": "IPY_MODEL_522331eac9cb49e4998384f42eeba912"
|
||
}
|
||
},
|
||
"269cc543a69e4ba3bae7f0bef67f1e25": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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": "",
|
||
"description": "Training...: 100%",
|
||
"description_tooltip": null,
|
||
"layout": "IPY_MODEL_7a5426d6898e4ba2b5e3c48a65096232",
|
||
"max": 137,
|
||
"min": 0,
|
||
"orientation": "horizontal",
|
||
"style": "IPY_MODEL_0b898451f79c4b6eb1678a8f366a5cbf",
|
||
"value": 137
|
||
}
|
||
},
|
||
"29b0ec79b8134168a5e3ae382088c147": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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_c251cf1c33c741049cc9710e89f09bc0",
|
||
"placeholder": "",
|
||
"style": "IPY_MODEL_b7f8df98ab5d45f39b34ceb1018c01b5",
|
||
"value": " 12/12 [00:05<00:00, 2.35it/s]"
|
||
}
|
||
},
|
||
"2bd15c15e3b748cd9ee001bb86c04b6d": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"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
|
||
}
|
||
},
|
||
"2c311c4506264995b7fbaba02333e747": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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": ""
|
||
}
|
||
},
|
||
"2cf7d4c7dc6f413eb8cc9460e5de8d93": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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": ""
|
||
}
|
||
},
|
||
"2eb6756f48074993825b5bfac47641e1": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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": "initial"
|
||
}
|
||
},
|
||
"2f647e8c1be2464fb9c69e8af5e5bf5a": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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": ""
|
||
}
|
||
},
|
||
"2fde17ab63e5444799ec1dc5501d946e": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"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
|
||
}
|
||
},
|
||
"32c067d64cb7445eb0464f3a10071e7c": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"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
|
||
}
|
||
},
|
||
"3549bf51a354408b9a39cb4532957617": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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": ""
|
||
}
|
||
},
|
||
"389fcde31cf24c438a9fcdb155060495": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"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
|
||
}
|
||
},
|
||
"3b802a49c0824b968d88350f82ff8422": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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": ""
|
||
}
|
||
},
|
||
"3c5df3c942ca4c768926b431064be351": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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_269cc543a69e4ba3bae7f0bef67f1e25",
|
||
"IPY_MODEL_8cb8398bb3c94284ac2ff42c7b3bc7c5"
|
||
],
|
||
"layout": "IPY_MODEL_f2e66aebdb4d4812a1f61c1ff990390a"
|
||
}
|
||
},
|
||
"3ebb7960558247ec84ef155042d2077a": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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": "initial"
|
||
}
|
||
},
|
||
"402795b6506a45c9831fb0ddb2ce0749": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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": ""
|
||
}
|
||
},
|
||
"42c8cb98eaae4cee86d49c675d3a3604": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"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
|
||
}
|
||
},
|
||
"43861346cadc460992ab7e2c30aa556c": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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_b9d1f631577f4a2a8eb49d3f8535ba25",
|
||
"placeholder": "",
|
||
"style": "IPY_MODEL_fcf96c9bb04642089466de2421bd1af2",
|
||
"value": " 12/12 [00:05<00:00, 2.33it/s]"
|
||
}
|
||
},
|
||
"44ee8edfb7c744358f0cb4567535ce07": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"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
|
||
}
|
||
},
|
||
"46340cbdaf9c47719e005b42b7236be2": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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_db96a8d67e564cd58358916ddfb86948",
|
||
"placeholder": "",
|
||
"style": "IPY_MODEL_57a93be7bb3d4167a89f7d73d5915551",
|
||
"value": " 137/137 [01:37<00:00, 1.40it/s]"
|
||
}
|
||
},
|
||
"47808ac98d064711bccc77037e53dade": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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": ""
|
||
}
|
||
},
|
||
"4bc03fce15a14355b3429c138ea1eadd": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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_cd946e84023445d59eea9893fba02f1a",
|
||
"placeholder": "",
|
||
"style": "IPY_MODEL_7a7b598979174b338f8fdfc90af61e47",
|
||
"value": " 137/137 [01:37<00:00, 1.41it/s]"
|
||
}
|
||
},
|
||
"4ec581224b3f47f2acdfaeb740c94526": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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_1462263d23c340e781d596a3f5414e03",
|
||
"IPY_MODEL_c8bd20a456cc4783a2fbbdec9a2880ea"
|
||
],
|
||
"layout": "IPY_MODEL_81c25bb635db4bc9a62636bf3a3868eb"
|
||
}
|
||
},
|
||
"503ff750d98d4f2c8f7af32adc221685": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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": "",
|
||
"description": "Training...: 100%",
|
||
"description_tooltip": null,
|
||
"layout": "IPY_MODEL_b6410389dafe43bd885446a6d2d255b0",
|
||
"max": 137,
|
||
"min": 0,
|
||
"orientation": "horizontal",
|
||
"style": "IPY_MODEL_dabd19b76eec4139a3028aa1776ac496",
|
||
"value": 137
|
||
}
|
||
},
|
||
"51d0dfb67bbd47ff88964bb446a91967": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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_7f05c774880548d2b73e69fb847c0a2e",
|
||
"placeholder": "",
|
||
"style": "IPY_MODEL_3549bf51a354408b9a39cb4532957617",
|
||
"value": " 137/137 [03:28<00:00, 1.41it/s]"
|
||
}
|
||
},
|
||
"5215d791d9144c089b6996336c3085cd": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"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
|
||
}
|
||
},
|
||
"522331eac9cb49e4998384f42eeba912": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"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
|
||
}
|
||
},
|
||
"52a25fde354e45dd9635097d22c16def": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"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
|
||
}
|
||
},
|
||
"52cae29e50974a42a3882f91b2a8f2ba": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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": "",
|
||
"description": "Evaluation...: 100%",
|
||
"description_tooltip": null,
|
||
"layout": "IPY_MODEL_22941d4a640b4d8bba1b97f723da0ef0",
|
||
"max": 12,
|
||
"min": 0,
|
||
"orientation": "horizontal",
|
||
"style": "IPY_MODEL_6321a346b671411791979a1a343fb494",
|
||
"value": 12
|
||
}
|
||
},
|
||
"57a93be7bb3d4167a89f7d73d5915551": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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": ""
|
||
}
|
||
},
|
||
"5829f975dedd45d3b315ab29c1b12253": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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_32c067d64cb7445eb0464f3a10071e7c",
|
||
"placeholder": "",
|
||
"style": "IPY_MODEL_a5a86539a58f4fe98ba96f9cd3d46588",
|
||
"value": " 137/137 [01:37<00:00, 1.40it/s]"
|
||
}
|
||
},
|
||
"5a6ea875aeff4688ba37481af5b5d9fe": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"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
|
||
}
|
||
},
|
||
"5bc32858674f442fa7b49efcccfc3c15": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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_900aa99ccfeb4a38a0ad90f8ce656fe6",
|
||
"placeholder": "",
|
||
"style": "IPY_MODEL_ce3117149c7e4ae6a93fbe959bd3f543",
|
||
"value": " 137/137 [01:37<00:00, 1.42it/s]"
|
||
}
|
||
},
|
||
"5e1805a3c7f24c3f9f15e86d15462d44": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"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
|
||
}
|
||
},
|
||
"5eb4c37fcf6a4b618a8f573b837a8c3a": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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": "",
|
||
"description": "Training...: 100%",
|
||
"description_tooltip": null,
|
||
"layout": "IPY_MODEL_52a25fde354e45dd9635097d22c16def",
|
||
"max": 137,
|
||
"min": 0,
|
||
"orientation": "horizontal",
|
||
"style": "IPY_MODEL_3ebb7960558247ec84ef155042d2077a",
|
||
"value": 137
|
||
}
|
||
},
|
||
"5fc3a90707f746c884d924e385b0cc1c": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"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
|
||
}
|
||
},
|
||
"6173f15a3e5a40819bd4f3833544fd78": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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_b9470519dfff45228e54d0181337ee17",
|
||
"IPY_MODEL_b5824ca248b74052bb1696b47369838e"
|
||
],
|
||
"layout": "IPY_MODEL_da2f69c01bcd4139980a84ddca297817"
|
||
}
|
||
},
|
||
"62fd4952400246189945f2de7f0192c6": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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_a9f8af0a5e594c29b553983b6a1c4c7d",
|
||
"IPY_MODEL_5829f975dedd45d3b315ab29c1b12253"
|
||
],
|
||
"layout": "IPY_MODEL_f07d424e031d457a98a88b94b0c844b8"
|
||
}
|
||
},
|
||
"6321a346b671411791979a1a343fb494": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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": "initial"
|
||
}
|
||
},
|
||
"63f47b7d6bc849d1b869367a6ba8b40f": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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": "",
|
||
"description": "Evaluation...: 100%",
|
||
"description_tooltip": null,
|
||
"layout": "IPY_MODEL_01d1c1e078e7403daabd1e7d8d5a4fda",
|
||
"max": 12,
|
||
"min": 0,
|
||
"orientation": "horizontal",
|
||
"style": "IPY_MODEL_7f6628d5f61f424ba6373da2f6defe76",
|
||
"value": 12
|
||
}
|
||
},
|
||
"6669a1844b394ea499dc92e126132bfc": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"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
|
||
}
|
||
},
|
||
"68681edff0db43559012b6653571a289": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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": "Epoch ...: 100%",
|
||
"description_tooltip": null,
|
||
"layout": "IPY_MODEL_9b35ba10c85048ce8044b87ab9948611",
|
||
"max": 10,
|
||
"min": 0,
|
||
"orientation": "horizontal",
|
||
"style": "IPY_MODEL_8134ef53fa8044c99b537386e88dbfc9",
|
||
"value": 10
|
||
}
|
||
},
|
||
"68cf981867f7461c999c9e9f85af6499": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"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
|
||
}
|
||
},
|
||
"6acb415dc8b947bb85ab8f8959bc10e1": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"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
|
||
}
|
||
},
|
||
"6baec27867e943a2bad6e70e48978ea5": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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": "initial"
|
||
}
|
||
},
|
||
"6c9e7145c2d7439db6f63b29c505e63e": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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": "",
|
||
"description": "Evaluation...: 100%",
|
||
"description_tooltip": null,
|
||
"layout": "IPY_MODEL_d2e74c9d62444e98b52078d6a15dd068",
|
||
"max": 12,
|
||
"min": 0,
|
||
"orientation": "horizontal",
|
||
"style": "IPY_MODEL_6baec27867e943a2bad6e70e48978ea5",
|
||
"value": 12
|
||
}
|
||
},
|
||
"6dfceed81b9b4f8198a8186dfdc72d42": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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_5eb4c37fcf6a4b618a8f573b837a8c3a",
|
||
"IPY_MODEL_5bc32858674f442fa7b49efcccfc3c15"
|
||
],
|
||
"layout": "IPY_MODEL_44ee8edfb7c744358f0cb4567535ce07"
|
||
}
|
||
},
|
||
"6eaf7a1f2e5e4aa590da55adf969ecc6": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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": "",
|
||
"description": "Evaluation...: 100%",
|
||
"description_tooltip": null,
|
||
"layout": "IPY_MODEL_02b1a546bc334efa93ba8dff5890dd0c",
|
||
"max": 12,
|
||
"min": 0,
|
||
"orientation": "horizontal",
|
||
"style": "IPY_MODEL_96f9368df9dc453495badb09e767d091",
|
||
"value": 12
|
||
}
|
||
},
|
||
"6efef5f4637e4efaa373cb9214d4e911": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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_acfab7adb0ed440b87fa08f81086522d",
|
||
"placeholder": "",
|
||
"style": "IPY_MODEL_47808ac98d064711bccc77037e53dade",
|
||
"value": " 137/137 [01:36<00:00, 1.42it/s]"
|
||
}
|
||
},
|
||
"6f5f003a277244b2824e09b877fefa74": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"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
|
||
}
|
||
},
|
||
"6f876daff243410bb26b8feb1cf981e0": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"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
|
||
}
|
||
},
|
||
"6fa186bd796b4d16bfb67657178e4f65": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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_6c9e7145c2d7439db6f63b29c505e63e",
|
||
"IPY_MODEL_43861346cadc460992ab7e2c30aa556c"
|
||
],
|
||
"layout": "IPY_MODEL_07fe952dec2b4f2687bcddec8701a70e"
|
||
}
|
||
},
|
||
"71fa85dc266149e28685b1f5252185a5": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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_9de6ea64b67c443fbce1fd6aef4a7409",
|
||
"IPY_MODEL_9658cc6977bb4fdf8a081aa99c300872"
|
||
],
|
||
"layout": "IPY_MODEL_9cb943192a154dbc8c7961f128449bbd"
|
||
}
|
||
},
|
||
"75f988a47d774cd38fd85977fda7a96c": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"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
|
||
}
|
||
},
|
||
"799b382dd6c74d528cf77813f82a7335": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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": "",
|
||
"description": "Training...: 100%",
|
||
"description_tooltip": null,
|
||
"layout": "IPY_MODEL_a4234dc426d3459a93263c8b5fe5a34b",
|
||
"max": 137,
|
||
"min": 0,
|
||
"orientation": "horizontal",
|
||
"style": "IPY_MODEL_940ce122551e42509e8cec0659e47c77",
|
||
"value": 137
|
||
}
|
||
},
|
||
"7a5426d6898e4ba2b5e3c48a65096232": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"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
|
||
}
|
||
},
|
||
"7a7b598979174b338f8fdfc90af61e47": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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": ""
|
||
}
|
||
},
|
||
"7d0775fcf6a8497db20326dc94bd2739": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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_839daa7d5cdc4669942f1b5ef5bf4903",
|
||
"IPY_MODEL_4bc03fce15a14355b3429c138ea1eadd"
|
||
],
|
||
"layout": "IPY_MODEL_5215d791d9144c089b6996336c3085cd"
|
||
}
|
||
},
|
||
"7db664fc575747af8e10ad6f2783a166": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"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
|
||
}
|
||
},
|
||
"7e067f02bdb74846a42909cd9ad1961b": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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_b6eec0df5ca64d5dbf32cb5231127e3b",
|
||
"IPY_MODEL_6efef5f4637e4efaa373cb9214d4e911"
|
||
],
|
||
"layout": "IPY_MODEL_68cf981867f7461c999c9e9f85af6499"
|
||
}
|
||
},
|
||
"7f05c774880548d2b73e69fb847c0a2e": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"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
|
||
}
|
||
},
|
||
"7f6628d5f61f424ba6373da2f6defe76": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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": "initial"
|
||
}
|
||
},
|
||
"8134ef53fa8044c99b537386e88dbfc9": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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": "initial"
|
||
}
|
||
},
|
||
"81c25bb635db4bc9a62636bf3a3868eb": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"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
|
||
}
|
||
},
|
||
"839daa7d5cdc4669942f1b5ef5bf4903": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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": "",
|
||
"description": "Training...: 100%",
|
||
"description_tooltip": null,
|
||
"layout": "IPY_MODEL_b4ce8892d5784011a649eeca7b17fd0d",
|
||
"max": 137,
|
||
"min": 0,
|
||
"orientation": "horizontal",
|
||
"style": "IPY_MODEL_d7cddd2cafe84d17829096b31ee5e93e",
|
||
"value": 137
|
||
}
|
||
},
|
||
"84c8a7cbfdb04690941f8c32299744bb": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"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
|
||
}
|
||
},
|
||
"8602122a90db462cacef9373fca054fe": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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_5fc3a90707f746c884d924e385b0cc1c",
|
||
"placeholder": "",
|
||
"style": "IPY_MODEL_2f647e8c1be2464fb9c69e8af5e5bf5a",
|
||
"value": " 12/12 [00:05<00:00, 2.35it/s]"
|
||
}
|
||
},
|
||
"861e2a6f8e3e4a5cacfd0a746180cc90": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"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
|
||
}
|
||
},
|
||
"892e02ac20ef4963871d915085139f7d": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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": "initial"
|
||
}
|
||
},
|
||
"8b3645c111b842f4b1d9ff54bb94f26e": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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_6f876daff243410bb26b8feb1cf981e0",
|
||
"placeholder": "",
|
||
"style": "IPY_MODEL_23187b20efd44965966d6576c0d057aa",
|
||
"value": " 137/137 [01:38<00:00, 1.43it/s]"
|
||
}
|
||
},
|
||
"8c156c360afb4ddc962b87577e093cc4": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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_68681edff0db43559012b6653571a289",
|
||
"IPY_MODEL_125e8d57908f4679824c96d5247f7119"
|
||
],
|
||
"layout": "IPY_MODEL_9808f288735b4f5d9eea7377d4603ccc"
|
||
}
|
||
},
|
||
"8cb8398bb3c94284ac2ff42c7b3bc7c5": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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_f7851bd9702949ee8e6278ad69c9d981",
|
||
"placeholder": "",
|
||
"style": "IPY_MODEL_2cf7d4c7dc6f413eb8cc9460e5de8d93",
|
||
"value": " 137/137 [01:37<00:00, 1.41it/s]"
|
||
}
|
||
},
|
||
"900aa99ccfeb4a38a0ad90f8ce656fe6": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"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
|
||
}
|
||
},
|
||
"91fb9675236949e6bb8c99015061647c": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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_503ff750d98d4f2c8f7af32adc221685",
|
||
"IPY_MODEL_8b3645c111b842f4b1d9ff54bb94f26e"
|
||
],
|
||
"layout": "IPY_MODEL_75f988a47d774cd38fd85977fda7a96c"
|
||
}
|
||
},
|
||
"940ce122551e42509e8cec0659e47c77": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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": "initial"
|
||
}
|
||
},
|
||
"9658cc6977bb4fdf8a081aa99c300872": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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_ce70b524ffab4052912d47b8adee6748",
|
||
"placeholder": "",
|
||
"style": "IPY_MODEL_a1b9aa80b73748f18e3938df073b3d22",
|
||
"value": " 12/12 [00:12<00:00, 1.78it/s]"
|
||
}
|
||
},
|
||
"96f9368df9dc453495badb09e767d091": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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": "initial"
|
||
}
|
||
},
|
||
"97216855bb7f483882afae68bf78a51d": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"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
|
||
}
|
||
},
|
||
"9808f288735b4f5d9eea7377d4603ccc": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"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
|
||
}
|
||
},
|
||
"987310405403439893813fb8c5da94a1": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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": ""
|
||
}
|
||
},
|
||
"98e148811880459ea7a7641ee3a301b6": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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": "initial"
|
||
}
|
||
},
|
||
"9b35ba10c85048ce8044b87ab9948611": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"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
|
||
}
|
||
},
|
||
"9cb943192a154dbc8c7961f128449bbd": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"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
|
||
}
|
||
},
|
||
"9d905b40bf2746e79abad7257cf8654f": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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_fd72a18adfb34bc2b2dab769067dcc1a",
|
||
"placeholder": "",
|
||
"style": "IPY_MODEL_0973226c646f4bb28f291ed3eb4e5cba",
|
||
"value": " 12/12 [00:05<00:00, 2.35it/s]"
|
||
}
|
||
},
|
||
"9de6ea64b67c443fbce1fd6aef4a7409": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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": "",
|
||
"description": "Evaluation...: 100%",
|
||
"description_tooltip": null,
|
||
"layout": "IPY_MODEL_97216855bb7f483882afae68bf78a51d",
|
||
"max": 12,
|
||
"min": 0,
|
||
"orientation": "horizontal",
|
||
"style": "IPY_MODEL_07b26680343f42fc805a3b52b398a5f2",
|
||
"value": 12
|
||
}
|
||
},
|
||
"a1452333389441eab2c8016cd019d2f5": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"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
|
||
}
|
||
},
|
||
"a1b9aa80b73748f18e3938df073b3d22": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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": ""
|
||
}
|
||
},
|
||
"a2324cab4e9745ddad69b35e77ed148e": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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_146ce87ac5b445e385285bdbbd70fba9",
|
||
"IPY_MODEL_46340cbdaf9c47719e005b42b7236be2"
|
||
],
|
||
"layout": "IPY_MODEL_42c8cb98eaae4cee86d49c675d3a3604"
|
||
}
|
||
},
|
||
"a4234dc426d3459a93263c8b5fe5a34b": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"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
|
||
}
|
||
},
|
||
"a5a86539a58f4fe98ba96f9cd3d46588": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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": ""
|
||
}
|
||
},
|
||
"a9f8af0a5e594c29b553983b6a1c4c7d": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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": "",
|
||
"description": "Training...: 100%",
|
||
"description_tooltip": null,
|
||
"layout": "IPY_MODEL_389fcde31cf24c438a9fcdb155060495",
|
||
"max": 137,
|
||
"min": 0,
|
||
"orientation": "horizontal",
|
||
"style": "IPY_MODEL_2eb6756f48074993825b5bfac47641e1",
|
||
"value": 137
|
||
}
|
||
},
|
||
"ab08bd64073d4d488f9c41e8595bac08": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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_fc2e1a72620742499457ab2e31da12a9",
|
||
"IPY_MODEL_b3b4d96626044375bad11ba48cc25ee3"
|
||
],
|
||
"layout": "IPY_MODEL_5e1805a3c7f24c3f9f15e86d15462d44"
|
||
}
|
||
},
|
||
"acfab7adb0ed440b87fa08f81086522d": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"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
|
||
}
|
||
},
|
||
"b08557f6936e4af9a23f659649979c8d": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"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
|
||
}
|
||
},
|
||
"b3b4d96626044375bad11ba48cc25ee3": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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_c85760cb6ccb4020be999357f2501bf9",
|
||
"placeholder": "",
|
||
"style": "IPY_MODEL_cd4892863d524637b8e567e2beed23bb",
|
||
"value": " 12/12 [00:05<00:00, 2.31it/s]"
|
||
}
|
||
},
|
||
"b414ff8df761462e8df8f51788f69508": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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_52cae29e50974a42a3882f91b2a8f2ba",
|
||
"IPY_MODEL_02b454a4d7ce44b0b819fc7085b1d357"
|
||
],
|
||
"layout": "IPY_MODEL_e0c2ef0fd4d544b9b80b00689d21f503"
|
||
}
|
||
},
|
||
"b4ce8892d5784011a649eeca7b17fd0d": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"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
|
||
}
|
||
},
|
||
"b5824ca248b74052bb1696b47369838e": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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_0e2531c122b44823a012ba844066e60c",
|
||
"placeholder": "",
|
||
"style": "IPY_MODEL_181f0680e5bb4d23a69f9cc747207883",
|
||
"value": " 12/12 [00:05<00:00, 2.34it/s]"
|
||
}
|
||
},
|
||
"b6410389dafe43bd885446a6d2d255b0": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"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
|
||
}
|
||
},
|
||
"b642c546813240a499a165279c743e7a": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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": "initial"
|
||
}
|
||
},
|
||
"b6eec0df5ca64d5dbf32cb5231127e3b": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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": "",
|
||
"description": "Training...: 100%",
|
||
"description_tooltip": null,
|
||
"layout": "IPY_MODEL_dafd837bebd44c00ae68641cc0b31d3d",
|
||
"max": 137,
|
||
"min": 0,
|
||
"orientation": "horizontal",
|
||
"style": "IPY_MODEL_d539e4c93f4941e9af0b742df4c53ae0",
|
||
"value": 137
|
||
}
|
||
},
|
||
"b6f9da40231f4404bb0c90458c94c5c2": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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": ""
|
||
}
|
||
},
|
||
"b7f8df98ab5d45f39b34ceb1018c01b5": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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": ""
|
||
}
|
||
},
|
||
"b9470519dfff45228e54d0181337ee17": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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": "",
|
||
"description": "Evaluation...: 100%",
|
||
"description_tooltip": null,
|
||
"layout": "IPY_MODEL_861e2a6f8e3e4a5cacfd0a746180cc90",
|
||
"max": 12,
|
||
"min": 0,
|
||
"orientation": "horizontal",
|
||
"style": "IPY_MODEL_11f8b1ddd5af4bb3babd492bbaf3fb7d",
|
||
"value": 12
|
||
}
|
||
},
|
||
"b9d1f631577f4a2a8eb49d3f8535ba25": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"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
|
||
}
|
||
},
|
||
"bfa957f8482847978542373db16cfa8a": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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": "initial"
|
||
}
|
||
},
|
||
"bfadf2c9e99c48e4860c2a67b2955120": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"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
|
||
}
|
||
},
|
||
"c014bf31dccb4448b561a702361ed9bc": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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_c6855514c5a649ebadc2db53c267e9e0",
|
||
"IPY_MODEL_8602122a90db462cacef9373fca054fe"
|
||
],
|
||
"layout": "IPY_MODEL_ef823903b36348978833920bb7e03881"
|
||
}
|
||
},
|
||
"c251cf1c33c741049cc9710e89f09bc0": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"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
|
||
}
|
||
},
|
||
"c55e4e5f6d0a42b4ac25fb6d68a8e842": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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": "initial"
|
||
}
|
||
},
|
||
"c6855514c5a649ebadc2db53c267e9e0": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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": "",
|
||
"description": "Evaluation...: 100%",
|
||
"description_tooltip": null,
|
||
"layout": "IPY_MODEL_173704b44e2c472499bc4242ef9e0863",
|
||
"max": 12,
|
||
"min": 0,
|
||
"orientation": "horizontal",
|
||
"style": "IPY_MODEL_892e02ac20ef4963871d915085139f7d",
|
||
"value": 12
|
||
}
|
||
},
|
||
"c7cca560cd4340bb986297655f513746": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"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
|
||
}
|
||
},
|
||
"c85760cb6ccb4020be999357f2501bf9": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"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
|
||
}
|
||
},
|
||
"c8bd20a456cc4783a2fbbdec9a2880ea": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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_0ba00c3340414029938c9c947d4a74b6",
|
||
"placeholder": "",
|
||
"style": "IPY_MODEL_402795b6506a45c9831fb0ddb2ce0749",
|
||
"value": " 12/12 [00:05<00:00, 2.35it/s]"
|
||
}
|
||
},
|
||
"cd26f91d46ef42609d265f0b709c3401": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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": "initial"
|
||
}
|
||
},
|
||
"cd4892863d524637b8e567e2beed23bb": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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": ""
|
||
}
|
||
},
|
||
"cd946e84023445d59eea9893fba02f1a": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"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
|
||
}
|
||
},
|
||
"ce3117149c7e4ae6a93fbe959bd3f543": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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": ""
|
||
}
|
||
},
|
||
"ce70b524ffab4052912d47b8adee6748": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"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
|
||
}
|
||
},
|
||
"d17f610741f142b782c74ac4e04e6481": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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_f3f0b212907843f5be2131b7b60a955d",
|
||
"IPY_MODEL_0a6a241c99bb49ad9baaef052b157964"
|
||
],
|
||
"layout": "IPY_MODEL_84c8a7cbfdb04690941f8c32299744bb"
|
||
}
|
||
},
|
||
"d2e74c9d62444e98b52078d6a15dd068": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"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
|
||
}
|
||
},
|
||
"d539e4c93f4941e9af0b742df4c53ae0": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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": "initial"
|
||
}
|
||
},
|
||
"d7cddd2cafe84d17829096b31ee5e93e": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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": "initial"
|
||
}
|
||
},
|
||
"d8770c573383466f81d7dfd01f048677": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"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
|
||
}
|
||
},
|
||
"da2f69c01bcd4139980a84ddca297817": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"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
|
||
}
|
||
},
|
||
"dabd19b76eec4139a3028aa1776ac496": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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": "initial"
|
||
}
|
||
},
|
||
"dac789bcf81e4aac86717438ed6e8bbe": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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_799b382dd6c74d528cf77813f82a7335",
|
||
"IPY_MODEL_51d0dfb67bbd47ff88964bb446a91967"
|
||
],
|
||
"layout": "IPY_MODEL_a1452333389441eab2c8016cd019d2f5"
|
||
}
|
||
},
|
||
"dafd837bebd44c00ae68641cc0b31d3d": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"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
|
||
}
|
||
},
|
||
"db96a8d67e564cd58358916ddfb86948": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"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
|
||
}
|
||
},
|
||
"e0c2ef0fd4d544b9b80b00689d21f503": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"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
|
||
}
|
||
},
|
||
"e246db4008b14a23b55d2820be3b1ed8": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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": ""
|
||
}
|
||
},
|
||
"e9c8d09e028741979a764789fd7f256e": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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_f5e27446f61747e1a65e477e2975dbcf",
|
||
"IPY_MODEL_1e17af39c928463b800d22ad1fe533e5"
|
||
],
|
||
"layout": "IPY_MODEL_2bd15c15e3b748cd9ee001bb86c04b6d"
|
||
}
|
||
},
|
||
"ef823903b36348978833920bb7e03881": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"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
|
||
}
|
||
},
|
||
"f07d424e031d457a98a88b94b0c844b8": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"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
|
||
}
|
||
},
|
||
"f0aa35a704a84967a3471e5f698bb04c": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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": "initial"
|
||
}
|
||
},
|
||
"f2c541b4ecd04729a518414f8b878099": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"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
|
||
}
|
||
},
|
||
"f2e66aebdb4d4812a1f61c1ff990390a": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"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
|
||
}
|
||
},
|
||
"f3f0b212907843f5be2131b7b60a955d": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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": "",
|
||
"description": "Training...: 100%",
|
||
"description_tooltip": null,
|
||
"layout": "IPY_MODEL_6acb415dc8b947bb85ab8f8959bc10e1",
|
||
"max": 137,
|
||
"min": 0,
|
||
"orientation": "horizontal",
|
||
"style": "IPY_MODEL_b642c546813240a499a165279c743e7a",
|
||
"value": 137
|
||
}
|
||
},
|
||
"f48e444c929748b2a875c6eecc028bc4": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"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
|
||
}
|
||
},
|
||
"f5e27446f61747e1a65e477e2975dbcf": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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": "",
|
||
"description": "Training...: 100%",
|
||
"description_tooltip": null,
|
||
"layout": "IPY_MODEL_6669a1844b394ea499dc92e126132bfc",
|
||
"max": 137,
|
||
"min": 0,
|
||
"orientation": "horizontal",
|
||
"style": "IPY_MODEL_98e148811880459ea7a7641ee3a301b6",
|
||
"value": 137
|
||
}
|
||
},
|
||
"f7851bd9702949ee8e6278ad69c9d981": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"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
|
||
}
|
||
},
|
||
"fc2e1a72620742499457ab2e31da12a9": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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": "",
|
||
"description": "Evaluation...: 100%",
|
||
"description_tooltip": null,
|
||
"layout": "IPY_MODEL_c7cca560cd4340bb986297655f513746",
|
||
"max": 12,
|
||
"min": 0,
|
||
"orientation": "horizontal",
|
||
"style": "IPY_MODEL_c55e4e5f6d0a42b4ac25fb6d68a8e842",
|
||
"value": 12
|
||
}
|
||
},
|
||
"fcf96c9bb04642089466de2421bd1af2": {
|
||
"model_module": "@jupyter-widgets/controls",
|
||
"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": ""
|
||
}
|
||
},
|
||
"fd72a18adfb34bc2b2dab769067dcc1a": {
|
||
"model_module": "@jupyter-widgets/base",
|
||
"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
|
||
}
|
||
}
|
||
}
|
||
}
|
||
},
|
||
"nbformat": 4,
|
||
"nbformat_minor": 4
|
||
}
|