{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "43813b12",
   "metadata": {},
   "outputs": [],
   "source": [
    "prediction: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 139/139 [35:54<00:00, 15.50s/it]\n",
    "Top-1: 0.3% || Invalid 15.75%\n",
    "Top-2: 0.5% || Invalid 22.04%\n",
    "Top-3: 0.7% || Invalid 25.83%\n",
    "Top-4: 0.9% || Invalid 28.69%\n",
    "Top-5: 1.1% || Invalid 30.74%\n",
    "prediction: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 139/139 [36:00<00:00, 15.55s/it]\n",
    "Top-1: 0.3% || Invalid 23.68%\n",
    "Top-2: 0.5% || Invalid 28.60%\n",
    "Top-3: 0.7% || Invalid 32.01%\n",
    "Top-4: 0.9% || Invalid 34.58%\n",
    "Top-5: 1.0% || Invalid 36.95%\n",
    "prediction: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 139/139 [35:03<00:00, 15.13s/it]\n",
    "Top-1: 0.1% || Invalid 29.90%\n",
    "Top-2: 0.1% || Invalid 34.33%\n",
    "Top-3: 0.2% || Invalid 37.83%\n",
    "Top-4: 0.3% || Invalid 40.49%\n",
    "Top-5: 0.4% || Invalid 43.11%\n",
    "prediction: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 139/139 [35:27<00:00, 15.31s/it]\n",
    "Top-1: 0.0% || Invalid 55.78%\n",
    "Top-2: 0.1% || Invalid 58.94%\n",
    "Top-3: 0.1% || Invalid 61.21%\n",
    "Top-4: 0.1% || Invalid 63.35%\n",
    "Top-5: 0.1% || Invalid 65.17%\n",
    "prediction: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 139/139 [35:27<00:00, 15.30s/it]\n",
    "Top-1: 0.1% || Invalid 44.12%\n",
    "Top-2: 0.1% || Invalid 48.06%\n",
    "Top-3: 0.1% || Invalid 51.93%\n",
    "Top-4: 0.1% || Invalid 54.31%\n",
    "Top-5: 0.2% || Invalid 56.56%\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "cf10c9e8",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_2055775/4280584905.py:21: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator.\n",
      "  ax.set_yticklabels([int(i) for i in ax.get_yticks()], fontsize=12)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f7834dea750>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# top1 accuracy\n",
    "CompoundT5 = [0, 0, 0, 0, 0]\n",
    "ReactionT5 = [20.8, 30.4, 34.8, 46.1, 54.7]\n",
    "T5Chem = [0.1, 0.0, 0.1, 0.3, 0.3]\n",
    "\n",
    "\n",
    "# plot\n",
    "import matplotlib.pyplot as plt\n",
    "fig, ax = plt.subplots(1, figsize=(8, 5))\n",
    "\n",
    "\n",
    "ax.plot([10,30,50,100,200], ReactionT5, \"o-\", label='ReactionT5', color='red', alpha=0.7)\n",
    "ax.plot([10,30,50,100,200], CompoundT5, \"s--\", label='CompoundT5', color='blue', alpha=0.7)\n",
    "ax.plot([10,30,50,100,200], T5Chem, \"v:\", label='T5Chem', color='green', alpha=0.7)\n",
    "\n",
    "\n",
    "plt.ylim(-5, 60)\n",
    "ax.set_xticks([10,30,50,100,200])\n",
    "ax.set_xticklabels([10,30,50,100,200], fontsize=12)\n",
    "# ax.set_yticks([10,20,30,40,50,60])\n",
    "ax.set_yticklabels([int(i) for i in ax.get_yticks()], fontsize=12)\n",
    "# plt.tight_layout()\n",
    "ax.legend(loc=\"best\", fontsize=12)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "d0f29837",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f7834b445d0>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Top5 invalidity\n",
    "CompoundT5 = [79.28, 71.2, 24.4, 18.9, 20.2]\n",
    "ReactionT5 = [0.08, 0.06, 0.06, 0.06, 0.1]\n",
    "T5Chem = [56.56, 65.17, 43.11, 36.95, 30.74]\n",
    "\n",
    "\n",
    "# plot\n",
    "import matplotlib.pyplot as plt\n",
    "fig, ax = plt.subplots(1, figsize=(8, 5))\n",
    "\n",
    "\n",
    "ax.plot([10,30,50,100,200], ReactionT5, \"o-\", label='ReactionT5', color='red', alpha=0.7)\n",
    "ax.plot([10,30,50,100,200], CompoundT5, \"s--\", label='CompoundT5', color='blue', alpha=0.7)\n",
    "ax.plot([10,30,50,100,200], T5Chem, \"v:\", label='T5Chem', color='green', alpha=0.7)\n",
    "\n",
    "\n",
    "# plt.ylim(0, 35)\n",
    "ax.set_xticks([10,30,50,100,200])\n",
    "ax.set_xticklabels([10,30,50,100,200], fontsize=12)\n",
    "ax.set_yticks([0, 20, 40, 60, 80, 100])\n",
    "ax.set_yticklabels([0, 20, 40, 60, 80, 100], fontsize=12)\n",
    "# plt.tight_layout()\n",
    "ax.legend(loc=\"best\", fontsize=12)\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "reactiont5",
   "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": "3.11.8"
  },
  "varInspector": {
   "cols": {
    "lenName": 16,
    "lenType": 16,
    "lenVar": 40
   },
   "kernels_config": {
    "python": {
     "delete_cmd_postfix": "",
     "delete_cmd_prefix": "del ",
     "library": "var_list.py",
     "varRefreshCmd": "print(var_dic_list())"
    },
    "r": {
     "delete_cmd_postfix": ") ",
     "delete_cmd_prefix": "rm(",
     "library": "var_list.r",
     "varRefreshCmd": "cat(var_dic_list()) "
    }
   },
   "types_to_exclude": [
    "module",
    "function",
    "builtin_function_or_method",
    "instance",
    "_Feature"
   ],
   "window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}