slovnet

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{
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 "cells": [
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  {
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   "cell_type": "code",
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   "execution_count": 2,
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   "metadata": {},
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   "outputs": [],
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   "source": [
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    "# %run -n main.py\n",
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    "# seed(1)\n",
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    "# env = dict(environ)\n",
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    "# for index in range(100):\n",
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    "#     seed_ = str(randint(0, 100))\n",
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    "#     bert_lr = '%.7f' % (10 ** uniform(-6, -3))\n",
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    "#     lr = '%.5f' % (10 ** uniform(-4, -2))\n",
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    "#     lr_gamma = '%.2f' % uniform(0.1, 0.9)\n",
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    "#     board_name = f'{index:03d} {seed_} {bert_lr} {lr} {lr_gamma}'\n",
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    "#     env.update(\n",
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    "#         seed=seed_,\n",
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    "#         bert_lr=bert_lr,\n",
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    "#         lr=lr,\n",
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    "#         lr_gamma=lr_gamma,\n",
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    "#         board_name=board_name\n",
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    "#     )\n",
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    "#     run(\n",
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    "#         args=[\n",
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    "#             'jupyter', 'nbconvert',\n",
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    "#             '--ExecutePreprocessor.timeout=6000',\n",
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    "#             '--to=notebook',\n",
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    "#             '--execute', 'main.ipynb'\n",
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    "#         ],\n",
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    "#         env=env\n",
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    "#     )"
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   ]
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  },
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  {
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   "cell_type": "code",
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   "execution_count": null,
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   "metadata": {},
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   "outputs": [],
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   "source": []
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  }
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 ],
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   "display_name": "Python 3",
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   "language": "python",
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   "name": "python3"
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  },
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  "language_info": {
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   "codemirror_mode": {
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    "name": "ipython",
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    "version": 3
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   },
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   "file_extension": ".py",
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   "mimetype": "text/x-python",
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   "name": "python",
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   "nbconvert_exporter": "python",
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   "pygments_lexer": "ipython3",
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   "version": "3.6.9"
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  }
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 "nbformat": 4,
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 "nbformat_minor": 4
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}
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