challenging-america-word-gap-prediction-alpha/fine_tuning.ipynb

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   "cell_type": "markdown",
   "id": "binding-contribution",
   "metadata": {},
   "source": [
    "## Alpha  fine-tuning"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "colored-chaos",
   "metadata": {},
   "source": [
    "Fine-tuning parametru wygładzania alpha. Tylko 10000 linii ze zbioru trenującego, aby oszczędzić czas. <br>\n",
    "Ostatecznie trening na całym zbiorze z wybranym parametrem."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "environmental-session",
   "metadata": {},
   "source": [
    "#### Alpha 0.001"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "coordinated-ratio",
   "metadata": {},
   "outputs": [],
   "source": [
    "!py run.py 0.001"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "revolutionary-designation",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "597.71\r\n"
     ]
    }
   ],
   "source": [
    "!./geval -t dev-0"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "molecular-civilian",
   "metadata": {},
   "source": [
    "#### Alpha 0.005"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "coral-silver",
   "metadata": {},
   "outputs": [],
   "source": [
    "!py run.py 0.005"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "powered-webcam",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "717.87\r\n"
     ]
    }
   ],
   "source": [
    "!./geval -t dev-0"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "broadband-heating",
   "metadata": {},
   "source": [
    "#### Alpha 0.01"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "moderate-bearing",
   "metadata": {},
   "outputs": [],
   "source": [
    "!py run.py 0.01"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "guilty-committee",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "774.42\r\n"
     ]
    }
   ],
   "source": [
    "!./geval -t dev-0"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "defensive-amount",
   "metadata": {},
   "source": [
    "#### Alpha 0.05"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "senior-government",
   "metadata": {},
   "outputs": [],
   "source": [
    "!py run.py 0.05"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "maritime-father",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "892.35\r\n"
     ]
    }
   ],
   "source": [
    "!./geval -t dev-0"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "practical-dinner",
   "metadata": {},
   "source": [
    "#### Alpha 0.1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "sonic-hayes",
   "metadata": {},
   "outputs": [],
   "source": [
    "!py run.py 0.1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "recent-malaysia",
   "metadata": {},
   "outputs": [],
   "source": [
    "!./geval -t dev-0"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "blank-coordinate",
   "metadata": {},
   "source": [
    "| alpha | dev-0 score |\n",
    "|-------|-------------|\n",
    "| 0.0005 |  |\n",
    "| 0.001 | 597.71 |\n",
    "| 0.005 | 717.87 |\n",
    "| 0.01 | 774.42 |\n",
    "| 0.05 | 892.35 |\n",
    "| 0.1 |   |"
   ]
  }
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