feat: adding dataset
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"cells": [
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"cells": [
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{
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{
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"cell_type": "code",
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"cell_type": "code",
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"execution_count": 93,
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"execution_count": 32,
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"id": "fb283f23",
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"id": "fb283f23",
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"metadata": {},
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"metadata": {},
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"outputs": [
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"name": "stdout",
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"name": "stdout",
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"output_type": "stream",
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"output_type": "stream",
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"text": [
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"text": [
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"Total flattened samples: 342\n"
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"Total flattened samples: 596\n"
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]
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]
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}
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}
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],
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],
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"from itertools import chain\n",
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"from itertools import chain\n",
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"\n",
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"\n",
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"RAW = json.loads(\n",
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"RAW = json.loads(\n",
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" Path(\"../dataset/dev_dataset_qg.json\").read_text()\n",
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" Path(\"../dataset/dev_dataset_test.json\").read_text()\n",
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") # ← file contoh Anda\n",
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") # ← file contoh Anda\n",
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"\n",
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"\n",
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"samples = []\n",
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"samples = []\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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"cell_type": "code",
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"execution_count": 94,
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"execution_count": 33,
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"id": "fa4f979d",
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"id": "fa4f979d",
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"metadata": {},
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"metadata": {},
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"outputs": [
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"outputs": [
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"name": "stdout",
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"name": "stdout",
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"output_type": "stream",
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"output_type": "stream",
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"text": [
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"text": [
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"{'<pad>': 0, '<unk>': 1, '<sos>': 2, '<eos>': 3, 'jepara': 4, 'false': 5, 'trowulan': 6, '17': 7, 'agustus': 8, '1945': 9, 'soekarno': 10, 'mohammad hatta': 11, '365': 12, 'hari': 13, 'merkurius': 14, 'true': 15, 'mars': 16, 'jupiter': 17, 'saturnus': 18, 'uranus': 19, 'neptunus': 20, '5': 21, 'januari': 22, '2020': 23, '12': 24, 'februari': 25, '2019': 26, '23': 27, 'maret': 28, '2021': 29, '1': 30, 'april': 31, '2022': 32, '15': 33, 'mei': 34, '2023': 35, 'gunung': 36, 'everest': 37, 'amazon': 38, 'piramida': 39, 'giza': 40, 'benua': 41, 'asia': 42, 'colosseum': 43, 'taj': 44, 'mahal': 45, 'petra': 46, 'tembok': 47, 'cina': 48, 'chichen': 49, 'itza': 50, 'patung': 51, 'yesus': 52, 'penebus': 53, 'machu': 54, 'picchu': 55, 'stonehenge': 56, 'menara': 57, 'pisa': 58, 'angkot': 59, 'wat': 60, '8848': 61, 'meter': 62, '17 agustus 1945': 63, 'albert': 64, 'einstein': 65, 'jantung': 66, 'memompa darah': 67, 'tokyo': 68, '100': 69, 'derajat': 70, 'celsius': 71, 'thomas': 72, 'alva': 73, 'edison': 74, '1879': 75, 'ketiga': 76, 'leonardo': 77, 'da': 78, 'vinci': 79, 'leonardo da vinci': 80, '9,46': 81, 'triliun': 82, 'kilometer': 83, 'mahatma': 84, 'gandhi': 85, '1958': 86, 'kornea': 87, 'waterloo': 88, '1815': 89, 'indonesia': 90, 'marie': 91, 'curie': 92, 'fisika dan kimia': 93, 'inka': 94, 'oksigen': 95, 'karbon dioksida dan air': 96, 'vincent': 97, 'van': 98, 'gogh': 99, 'double': 100, 'helix': 101, 'double helix': 102, 'alexander': 103, 'fleming': 104, 'jeruk': 105, 'dan': 106, 'kiwi': 107, 'vitamin c': 108, 'nikola': 109, 'tesla': 110, 'sungai': 111, 'nil': 112, '6650 kilometer': 113, 'paus': 114, 'biru': 115, 'pankreas': 116, 'mengatur gula darah': 117, 'charles': 118, 'darwin': 119, 'shah': 120, 'jahan': 121, 'mumtaz mahal': 122, '44.58 juta km²': 123, '54': 124, 'di selatan laut mediterania': 125, 'eropa': 126, '10.18 juta km²': 127, 'atlantik': 128, 'pasifik': 129, 'hutan amazon': 130, 'australia': 131, 'belahan bumi selatan': 132, 'antartika': 133, 'kutub selatan': 134, '4.7 miliar': 135, 'kilimanjaro': 136, '5,895 meter': 137, 'sahara': 138, 'afrika': 139, 'alpen': 140, '8': 141, 'superior': 142, 'danau superior': 143, 'amerika selatan': 144, 'ali': 145, 'turnamen': 146, 'nina': 147, 'rapat': 148, 'farhan': 149, 'andi': 150, 'workshop': 151, 'lina': 152, 'pameran': 153, 'iqbal': 154, 'siti': 155, 'perlombaan': 156, 'konser': 157, 'fajar': 158, 'dina': 159, 'festival': 160, 'rian': 161, 'bazar': 162, 'tari': 163, 'seminar': 164, 'kompetisi': 165, 'rudi': 166, 'putri': 167, 'budi': 168, 'hana': 169, 'raka': 170, 'dewi': 171, 'surabaya': 172, 'yogyakarta': 173, 'kota': 174, 'jakarta': 175, 'bandung': 176, 'malang': 177, 'bali': 178, 'padang': 179, 'ibukota': 180, 'makassar': 181, 'medan': 182}\n"
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"{'<pad>': 0, '<unk>': 1, '<sos>': 2, '<eos>': 3, 'indra': 4, 'rahmawati': 5, 'lahir': 6, 'di': 7, 'malang': 8, 'pada': 9, '27': 10, 'februari': 11, '1972': 12, '___': 13, 'dimana': 14, 'fitri': 15, 'pratama': 16, 'joko': 17, 'wijaya': 18, 'tangerang': 19, '26': 20, 'september': 21, '1970': 22, 'citra': 23, 'jakarta': 24, '17': 25, '1983': 26, 'saputra': 27, 'kota': 28, 'mana': 29, 'nina': 30, 'ridwan': 31, 'gilang': 32, 'purnama': 33, 'depok': 34, '21': 35, 'desember': 36, '1971': 37, 'budi': 38, 'eka': 39, 'laksmi': 40, 'surabaya': 41, '24': 42, 'oktober': 43, '1996': 44, 'sari': 45, '20': 46, 'mei': 47, '1986': 48, 'maulana': 49, 'hana': 50, 'makassar': 51, '16': 52, 'agustus': 53, '1993': 54, 'restu': 55, 'hasan': 56, 'lina': 57, 'siregar': 58, '22': 59, 'april': 60, '1987': 61, 'palembang': 62, '7': 63, 'januari': 64, '1997': 65, '4': 66, 'november': 67, '2009': 68, 'dina': 69, '1978': 70, 'nanda': 71, 'putra': 72, 'tanggal': 73, 'berapa': 74, 'kusuma': 75, '13': 76, '28': 77, '1984': 78, 'medan': 79, '3': 80, 'maret': 81, '1995': 82, '6': 83, '2000': 84, 'anggraini': 85, '10': 86, '2006': 87, 'semarang': 88, 'juni': 89, '1976': 90, 'mega': 91, 'dwiputra': 92, '1992': 93, 'yuni': 94, 'baskara': 95, 'utami': 96, 'diaz': 97, '14': 98, '2008': 99, 'vina': 100, 'lestari': 101, 'mariani': 102, 'islami': 103, '23': 104, 'juli': 105, 'permata': 106, '2007': 107, '1994': 108, '1': 109, '1981': 110, 'toni': 111, 'hakim': 112, 'hendra': 113, 'dwi': 114, 'santoso': 115, 'andi': 116, '25': 117, '1998': 118, '19': 119, 'bayu': 120, 'suryanto': 121, 'kartika': 122, '2010': 123, 'joni': 124, '1985': 125, 'qori': 126, '2003': 127, '1999': 128, 'bandung': 129, 'adi': 130, 'angga': 131, '18': 132, '2004': 133, 'putri': 134, 'laksono': 135, 'hani': 136, '12': 137, '15': 138, '11': 139, '1980': 140, '2002': 141, 'trisna': 142, '1973': 143, 'oki': 144, 'hidayat': 145, '1982': 146, 'suryadi': 147, 'galih': 148, '2': 149, '1977': 150, 'agus': 151, 'sudarto': 152, 'endah': 153, '1991': 154, 'yuliani': 155, 'seno': 156, 'nandito': 157, 'syah': 158, '5': 159, 'mira': 160, '9': 161, 'indah': 162, 'widodo': 163, '1974': 164, 'rio': 165, '1979': 166, '1988': 167, 'yana': 168, 'elisa': 169, 'irma': 170, 'irawan': 171, 'fajar': 172, '1990': 173, 'mustofa': 174, 'heri': 175, 'fina': 176, 'cahya': 177, 'ramadhan': 178, 'setiawan': 179, 'prasetyo': 180, 'ariani': 181, 'kurniawan': 182, 'farhan': 183, 'dwisaputra': 184, 'hardian': 185, '1975': 186, '8': 187, '2001': 188, 'iqbal': 189, 'kurnia': 190, 'cahyono': 191, '1989': 192, 'kiki': 193, 'suwandi': 194, 'gita': 195, '2005': 196, 'rahman': 197, 'danang': 198, 'maharani': 199, 'lisa': 200, 'firmansyah': 201, 'wulan': 202, 'zaki': 203, 'wicak': 204, 'sita': 205, 'ahmad': 206, 'wahyuni': 207, 'saputri': 208, 'tria': 209, 'fadhil': 210}\n"
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]
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]
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}
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}
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],
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],
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@ -75,12 +75,12 @@
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"\n",
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"\n",
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"vocab_typ = {\"isian\": 0, \"opsi\": 1, \"true_false\": 2}\n",
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"vocab_typ = {\"isian\": 0, \"opsi\": 1, \"true_false\": 2}\n",
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"\n",
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"\n",
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"print(vocab_a)"
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"print(vocab_q)"
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]
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]
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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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"cell_type": "code",
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"execution_count": 95,
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"execution_count": 34,
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"id": "d1a5b324",
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"id": "d1a5b324",
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"metadata": {},
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"metadata": {},
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"outputs": [],
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"outputs": [],
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@ -134,18 +134,18 @@
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},
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{
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{
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"cell_type": "code",
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"cell_type": "code",
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"execution_count": 96,
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"execution_count": 35,
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"id": "ff5bd85f",
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"id": "ff5bd85f",
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"metadata": {},
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"metadata": {},
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"outputs": [
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"outputs": [
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{
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{
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"data": {
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"data": {
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"text/html": [
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"text/html": [
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"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Model: \"functional_8\"</span>\n",
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"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Model: \"functional_3\"</span>\n",
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"</pre>\n"
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"</pre>\n"
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],
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],
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"text/plain": [
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"text/plain": [
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"\u001b[1mModel: \"functional_8\"\u001b[0m\n"
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"\u001b[1mModel: \"functional_3\"\u001b[0m\n"
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]
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},
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},
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"metadata": {},
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"metadata": {},
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@ -157,60 +157,60 @@
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"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┏━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓\n",
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"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┏━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓\n",
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"┃<span style=\"font-weight: bold\"> Layer (type) </span>┃<span style=\"font-weight: bold\"> Output Shape </span>┃<span style=\"font-weight: bold\"> Param # </span>┃<span style=\"font-weight: bold\"> Connected to </span>┃\n",
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"┃<span style=\"font-weight: bold\"> Layer (type) </span>┃<span style=\"font-weight: bold\"> Output Shape </span>┃<span style=\"font-weight: bold\"> Param # </span>┃<span style=\"font-weight: bold\"> Connected to </span>┃\n",
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"┡━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩\n",
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"┡━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩\n",
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"│ tok_in (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">InputLayer</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">16</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ - │\n",
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"│ tok_in (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">InputLayer</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">9</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ - │\n",
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"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
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"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
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"│ ner_in (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">InputLayer</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">16</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ - │\n",
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"│ ner_in (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">InputLayer</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">9</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ - │\n",
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"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
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"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
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"│ srl_in (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">InputLayer</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">16</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ - │\n",
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"│ srl_in (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">InputLayer</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">9</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ - │\n",
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"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
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"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
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"│ embedding_tok │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">16</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">57,856</span> │ tok_in[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>] │\n",
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"│ embedding_tok │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">9</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">31,232</span> │ tok_in[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>] │\n",
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"│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Embedding</span>) │ │ │ │\n",
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"│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Embedding</span>) │ │ │ │\n",
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"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
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"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
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"│ embedding_ner │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">16</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">1,248</span> │ ner_in[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>] │\n",
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"│ embedding_ner │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">9</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">288</span> │ ner_in[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>] │\n",
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"│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Embedding</span>) │ │ │ │\n",
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"│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Embedding</span>) │ │ │ │\n",
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"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
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"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
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"│ embedding_srl │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">16</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">448</span> │ srl_in[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>] │\n",
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"│ embedding_srl │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">9</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">224</span> │ srl_in[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>] │\n",
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"│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Embedding</span>) │ │ │ │\n",
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"│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Embedding</span>) │ │ │ │\n",
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"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
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"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
|
||||||
"│ dec_q_in │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">13</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ - │\n",
|
"│ dec_q_in │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">11</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ - │\n",
|
||||||
"│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">InputLayer</span>) │ │ │ │\n",
|
"│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">InputLayer</span>) │ │ │ │\n",
|
||||||
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
|
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
|
||||||
"│ concatenate_8 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">16</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ embedding_tok[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │\n",
|
"│ concatenate_3 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">9</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ embedding_tok[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │\n",
|
||||||
"│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Concatenate</span>) │ │ │ embedding_ner[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │\n",
|
"│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Concatenate</span>) │ │ │ embedding_ner[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │\n",
|
||||||
"│ │ │ │ embedding_srl[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │\n",
|
"│ │ │ │ embedding_srl[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │\n",
|
||||||
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
|
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
|
||||||
"│ dec_a_in │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">4</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ - │\n",
|
"│ dec_a_in │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">4</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ - │\n",
|
||||||
"│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">InputLayer</span>) │ │ │ │\n",
|
"│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">InputLayer</span>) │ │ │ │\n",
|
||||||
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
|
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
|
||||||
"│ embedding_q_decoder │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">13</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">52,096</span> │ dec_q_in[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>] │\n",
|
"│ embedding_q_decoder │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">11</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">27,008</span> │ dec_q_in[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>] │\n",
|
||||||
"│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Embedding</span>) │ │ │ │\n",
|
"│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Embedding</span>) │ │ │ │\n",
|
||||||
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
|
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
|
||||||
"│ encoder_lstm (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">LSTM</span>) │ [(<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>), │ <span style=\"color: #00af00; text-decoration-color: #00af00\">459,776</span> │ concatenate_8[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │\n",
|
"│ encoder_lstm (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">LSTM</span>) │ [(<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>), │ <span style=\"color: #00af00; text-decoration-color: #00af00\">459,776</span> │ concatenate_3[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>]… │\n",
|
||||||
"│ │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>), │ │ │\n",
|
"│ │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>), │ │ │\n",
|
||||||
"│ │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)] │ │ │\n",
|
"│ │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)] │ │ │\n",
|
||||||
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
|
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
|
||||||
"│ embedding_a_decoder │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">4</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">23,424</span> │ dec_a_in[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>] │\n",
|
"│ embedding_a_decoder │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">4</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">14,336</span> │ dec_a_in[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>] │\n",
|
||||||
"│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Embedding</span>) │ │ │ │\n",
|
"│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Embedding</span>) │ │ │ │\n",
|
||||||
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
|
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
|
||||||
"│ lstm_q_decoder │ [(<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">13</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>), │ <span style=\"color: #00af00; text-decoration-color: #00af00\">394,240</span> │ embedding_q_deco… │\n",
|
"│ lstm_q_decoder │ [(<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">11</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>), │ <span style=\"color: #00af00; text-decoration-color: #00af00\">394,240</span> │ embedding_q_deco… │\n",
|
||||||
"│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">LSTM</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>), │ │ encoder_lstm[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
|
"│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">LSTM</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>), │ │ encoder_lstm[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
|
||||||
"│ │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)] │ │ encoder_lstm[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
|
"│ │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)] │ │ encoder_lstm[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
|
||||||
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
|
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
|
||||||
"│ not_equal_32 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">13</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ dec_q_in[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>] │\n",
|
"│ not_equal_12 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">11</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ dec_q_in[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>] │\n",
|
||||||
"│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">NotEqual</span>) │ │ │ │\n",
|
"│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">NotEqual</span>) │ │ │ │\n",
|
||||||
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
|
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
|
||||||
"│ lstm_a_decoder │ [(<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">4</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>), │ <span style=\"color: #00af00; text-decoration-color: #00af00\">394,240</span> │ embedding_a_deco… │\n",
|
"│ lstm_a_decoder │ [(<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">4</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>), │ <span style=\"color: #00af00; text-decoration-color: #00af00\">394,240</span> │ embedding_a_deco… │\n",
|
||||||
"│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">LSTM</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>), │ │ encoder_lstm[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
|
"│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">LSTM</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>), │ │ encoder_lstm[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
|
||||||
"│ │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)] │ │ encoder_lstm[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
|
"│ │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)] │ │ encoder_lstm[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
|
||||||
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
|
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
|
||||||
"│ not_equal_33 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">4</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ dec_a_in[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>] │\n",
|
"│ not_equal_13 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">4</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │ dec_a_in[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>] │\n",
|
||||||
"│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">NotEqual</span>) │ │ │ │\n",
|
"│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">NotEqual</span>) │ │ │ │\n",
|
||||||
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
|
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
|
||||||
"│ q_output │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">13</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">407</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">104,599</span> │ lstm_q_decoder[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n",
|
"│ q_output │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">11</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">211</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">54,227</span> │ lstm_q_decoder[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n",
|
||||||
"│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">TimeDistributed</span>) │ │ │ not_equal_32[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
|
"│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">TimeDistributed</span>) │ │ │ not_equal_12[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
|
||||||
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
|
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
|
||||||
"│ a_output │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">4</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">183</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">47,031</span> │ lstm_a_decoder[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n",
|
"│ a_output │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">4</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">112</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">28,784</span> │ lstm_a_decoder[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>… │\n",
|
||||||
"│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">TimeDistributed</span>) │ │ │ not_equal_33[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
|
"│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">TimeDistributed</span>) │ │ │ not_equal_13[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
|
||||||
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
|
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
|
||||||
"│ type_output (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">3</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">771</span> │ encoder_lstm[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
|
"│ type_output (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">3</span>) │ <span style=\"color: #00af00; text-decoration-color: #00af00\">771</span> │ encoder_lstm[<span style=\"color: #00af00; text-decoration-color: #00af00\">0</span>][<span style=\"color: #00af00; text-decoration-color: #00af00\">…</span> │\n",
|
||||||
"└─────────────────────┴───────────────────┴────────────┴───────────────────┘\n",
|
"└─────────────────────┴───────────────────┴────────────┴───────────────────┘\n",
|
||||||
|
|
@ -220,60 +220,60 @@
|
||||||
"┏━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓\n",
|
"┏━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓\n",
|
||||||
"┃\u001b[1m \u001b[0m\u001b[1mLayer (type) \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m Param #\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mConnected to \u001b[0m\u001b[1m \u001b[0m┃\n",
|
"┃\u001b[1m \u001b[0m\u001b[1mLayer (type) \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m Param #\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mConnected to \u001b[0m\u001b[1m \u001b[0m┃\n",
|
||||||
"┡━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩\n",
|
"┡━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩\n",
|
||||||
"│ tok_in (\u001b[38;5;33mInputLayer\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m16\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ - │\n",
|
"│ tok_in (\u001b[38;5;33mInputLayer\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m9\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ - │\n",
|
||||||
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
|
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
|
||||||
"│ ner_in (\u001b[38;5;33mInputLayer\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m16\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ - │\n",
|
"│ ner_in (\u001b[38;5;33mInputLayer\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m9\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ - │\n",
|
||||||
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
|
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
|
||||||
"│ srl_in (\u001b[38;5;33mInputLayer\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m16\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ - │\n",
|
"│ srl_in (\u001b[38;5;33mInputLayer\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m9\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ - │\n",
|
||||||
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
|
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
|
||||||
"│ embedding_tok │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m16\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m57,856\u001b[0m │ tok_in[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n",
|
"│ embedding_tok │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m9\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m31,232\u001b[0m │ tok_in[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n",
|
||||||
"│ (\u001b[38;5;33mEmbedding\u001b[0m) │ │ │ │\n",
|
"│ (\u001b[38;5;33mEmbedding\u001b[0m) │ │ │ │\n",
|
||||||
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
|
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
|
||||||
"│ embedding_ner │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m16\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m1,248\u001b[0m │ ner_in[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n",
|
"│ embedding_ner │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m9\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m288\u001b[0m │ ner_in[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n",
|
||||||
"│ (\u001b[38;5;33mEmbedding\u001b[0m) │ │ │ │\n",
|
"│ (\u001b[38;5;33mEmbedding\u001b[0m) │ │ │ │\n",
|
||||||
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
|
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
|
||||||
"│ embedding_srl │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m16\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m448\u001b[0m │ srl_in[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n",
|
"│ embedding_srl │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m9\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m224\u001b[0m │ srl_in[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n",
|
||||||
"│ (\u001b[38;5;33mEmbedding\u001b[0m) │ │ │ │\n",
|
"│ (\u001b[38;5;33mEmbedding\u001b[0m) │ │ │ │\n",
|
||||||
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
|
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
|
||||||
"│ dec_q_in │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m13\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ - │\n",
|
"│ dec_q_in │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m11\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ - │\n",
|
||||||
"│ (\u001b[38;5;33mInputLayer\u001b[0m) │ │ │ │\n",
|
"│ (\u001b[38;5;33mInputLayer\u001b[0m) │ │ │ │\n",
|
||||||
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
|
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
|
||||||
"│ concatenate_8 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m16\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ embedding_tok[\u001b[38;5;34m0\u001b[0m]… │\n",
|
"│ concatenate_3 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m9\u001b[0m, \u001b[38;5;34m192\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ embedding_tok[\u001b[38;5;34m0\u001b[0m]… │\n",
|
||||||
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ │ │ embedding_ner[\u001b[38;5;34m0\u001b[0m]… │\n",
|
"│ (\u001b[38;5;33mConcatenate\u001b[0m) │ │ │ embedding_ner[\u001b[38;5;34m0\u001b[0m]… │\n",
|
||||||
"│ │ │ │ embedding_srl[\u001b[38;5;34m0\u001b[0m]… │\n",
|
"│ │ │ │ embedding_srl[\u001b[38;5;34m0\u001b[0m]… │\n",
|
||||||
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
|
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
|
||||||
"│ dec_a_in │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ - │\n",
|
"│ dec_a_in │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ - │\n",
|
||||||
"│ (\u001b[38;5;33mInputLayer\u001b[0m) │ │ │ │\n",
|
"│ (\u001b[38;5;33mInputLayer\u001b[0m) │ │ │ │\n",
|
||||||
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
|
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
|
||||||
"│ embedding_q_decoder │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m13\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m52,096\u001b[0m │ dec_q_in[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n",
|
"│ embedding_q_decoder │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m11\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m27,008\u001b[0m │ dec_q_in[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n",
|
||||||
"│ (\u001b[38;5;33mEmbedding\u001b[0m) │ │ │ │\n",
|
"│ (\u001b[38;5;33mEmbedding\u001b[0m) │ │ │ │\n",
|
||||||
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
|
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
|
||||||
"│ encoder_lstm (\u001b[38;5;33mLSTM\u001b[0m) │ [(\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m), │ \u001b[38;5;34m459,776\u001b[0m │ concatenate_8[\u001b[38;5;34m0\u001b[0m]… │\n",
|
"│ encoder_lstm (\u001b[38;5;33mLSTM\u001b[0m) │ [(\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m), │ \u001b[38;5;34m459,776\u001b[0m │ concatenate_3[\u001b[38;5;34m0\u001b[0m]… │\n",
|
||||||
"│ │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m), │ │ │\n",
|
"│ │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m), │ │ │\n",
|
||||||
"│ │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m)] │ │ │\n",
|
"│ │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m)] │ │ │\n",
|
||||||
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
|
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
|
||||||
"│ embedding_a_decoder │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m23,424\u001b[0m │ dec_a_in[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n",
|
"│ embedding_a_decoder │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m14,336\u001b[0m │ dec_a_in[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n",
|
||||||
"│ (\u001b[38;5;33mEmbedding\u001b[0m) │ │ │ │\n",
|
"│ (\u001b[38;5;33mEmbedding\u001b[0m) │ │ │ │\n",
|
||||||
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
|
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
|
||||||
"│ lstm_q_decoder │ [(\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m13\u001b[0m, \u001b[38;5;34m256\u001b[0m), │ \u001b[38;5;34m394,240\u001b[0m │ embedding_q_deco… │\n",
|
"│ lstm_q_decoder │ [(\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m11\u001b[0m, \u001b[38;5;34m256\u001b[0m), │ \u001b[38;5;34m394,240\u001b[0m │ embedding_q_deco… │\n",
|
||||||
"│ (\u001b[38;5;33mLSTM\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m), │ │ encoder_lstm[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n",
|
"│ (\u001b[38;5;33mLSTM\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m), │ │ encoder_lstm[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n",
|
||||||
"│ │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m)] │ │ encoder_lstm[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n",
|
"│ │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m)] │ │ encoder_lstm[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n",
|
||||||
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
|
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
|
||||||
"│ not_equal_32 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m13\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ dec_q_in[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n",
|
"│ not_equal_12 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m11\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ dec_q_in[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n",
|
||||||
"│ (\u001b[38;5;33mNotEqual\u001b[0m) │ │ │ │\n",
|
"│ (\u001b[38;5;33mNotEqual\u001b[0m) │ │ │ │\n",
|
||||||
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
|
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
|
||||||
"│ lstm_a_decoder │ [(\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m256\u001b[0m), │ \u001b[38;5;34m394,240\u001b[0m │ embedding_a_deco… │\n",
|
"│ lstm_a_decoder │ [(\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m256\u001b[0m), │ \u001b[38;5;34m394,240\u001b[0m │ embedding_a_deco… │\n",
|
||||||
"│ (\u001b[38;5;33mLSTM\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m), │ │ encoder_lstm[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n",
|
"│ (\u001b[38;5;33mLSTM\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m), │ │ encoder_lstm[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n",
|
||||||
"│ │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m)] │ │ encoder_lstm[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n",
|
"│ │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m)] │ │ encoder_lstm[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n",
|
||||||
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
|
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
|
||||||
"│ not_equal_33 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ dec_a_in[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n",
|
"│ not_equal_13 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ dec_a_in[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n",
|
||||||
"│ (\u001b[38;5;33mNotEqual\u001b[0m) │ │ │ │\n",
|
"│ (\u001b[38;5;33mNotEqual\u001b[0m) │ │ │ │\n",
|
||||||
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
|
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
|
||||||
"│ q_output │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m13\u001b[0m, \u001b[38;5;34m407\u001b[0m) │ \u001b[38;5;34m104,599\u001b[0m │ lstm_q_decoder[\u001b[38;5;34m0\u001b[0m… │\n",
|
"│ q_output │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m11\u001b[0m, \u001b[38;5;34m211\u001b[0m) │ \u001b[38;5;34m54,227\u001b[0m │ lstm_q_decoder[\u001b[38;5;34m0\u001b[0m… │\n",
|
||||||
"│ (\u001b[38;5;33mTimeDistributed\u001b[0m) │ │ │ not_equal_32[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n",
|
"│ (\u001b[38;5;33mTimeDistributed\u001b[0m) │ │ │ not_equal_12[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n",
|
||||||
"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
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"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
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"│ a_output │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m183\u001b[0m) │ \u001b[38;5;34m47,031\u001b[0m │ lstm_a_decoder[\u001b[38;5;34m0\u001b[0m… │\n",
|
"│ a_output │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m112\u001b[0m) │ \u001b[38;5;34m28,784\u001b[0m │ lstm_a_decoder[\u001b[38;5;34m0\u001b[0m… │\n",
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"│ (\u001b[38;5;33mTimeDistributed\u001b[0m) │ │ │ not_equal_33[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n",
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"│ (\u001b[38;5;33mTimeDistributed\u001b[0m) │ │ │ not_equal_13[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n",
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"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
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"├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
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"│ type_output (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m3\u001b[0m) │ \u001b[38;5;34m771\u001b[0m │ encoder_lstm[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n",
|
"│ type_output (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m3\u001b[0m) │ \u001b[38;5;34m771\u001b[0m │ encoder_lstm[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m…\u001b[0m │\n",
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"└─────────────────────┴───────────────────┴────────────┴───────────────────┘\n"
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"└─────────────────────┴───────────────────┴────────────┴───────────────────┘\n"
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"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Total params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">1,535,729</span> (5.86 MB)\n",
|
"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Total params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">1,405,126</span> (5.36 MB)\n",
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"</pre>\n"
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"text/plain": [
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"\u001b[1m Total params: \u001b[0m\u001b[38;5;34m1,535,729\u001b[0m (5.86 MB)\n"
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"\u001b[1m Total params: \u001b[0m\u001b[38;5;34m1,405,126\u001b[0m (5.36 MB)\n"
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"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">1,535,729</span> (5.86 MB)\n",
|
"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">1,405,126</span> (5.36 MB)\n",
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"</pre>\n"
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],
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"text/plain": [
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"\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m1,535,729\u001b[0m (5.86 MB)\n"
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"\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m1,405,126\u001b[0m (5.36 MB)\n"
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{
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"cell_type": "code",
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"cell_type": "code",
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"execution_count": 97,
|
"execution_count": 36,
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"id": "fece1ae9",
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"id": "fece1ae9",
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"metadata": {},
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"output_type": "stream",
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"text": [
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"text": [
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||||||
"Epoch 1/30\n",
|
"Epoch 1/30\n",
|
||||||
"\u001b[1m5/5\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 161ms/step - a_output_loss: 5.1540 - a_output_sparse_categorical_accuracy: 0.1507 - loss: 11.4761 - q_output_loss: 5.9970 - q_output_sparse_categorical_accuracy: 0.0600 - type_output_accuracy: 0.4506 - type_output_loss: 1.0728 - val_a_output_loss: 4.5900 - val_a_output_sparse_categorical_accuracy: 0.2500 - val_loss: 10.8292 - val_q_output_loss: 5.9316 - val_q_output_sparse_categorical_accuracy: 0.0769 - val_type_output_accuracy: 0.5143 - val_type_output_loss: 1.0253\n",
|
"\u001b[1m9/9\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 83ms/step - a_output_loss: 4.5185 - a_output_sparse_categorical_accuracy: 0.1853 - loss: 10.1289 - q_output_loss: 5.2751 - q_output_sparse_categorical_accuracy: 0.1679 - type_output_accuracy: 0.3966 - type_output_loss: 1.0344 - val_a_output_loss: 2.2993 - val_a_output_sparse_categorical_accuracy: 0.2500 - val_loss: 6.6556 - val_q_output_loss: 4.1554 - val_q_output_sparse_categorical_accuracy: 0.1606 - val_type_output_accuracy: 0.6167 - val_type_output_loss: 0.6698\n",
|
||||||
"Epoch 2/30\n",
|
"Epoch 2/30\n",
|
||||||
"\u001b[1m5/5\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 48ms/step - a_output_loss: 4.2365 - a_output_sparse_categorical_accuracy: 0.2500 - loss: 10.2493 - q_output_loss: 5.6397 - q_output_sparse_categorical_accuracy: 0.1183 - type_output_accuracy: 0.5209 - type_output_loss: 1.2188 - val_a_output_loss: 3.2588 - val_a_output_sparse_categorical_accuracy: 0.2500 - val_loss: 9.0808 - val_q_output_loss: 5.4082 - val_q_output_sparse_categorical_accuracy: 0.0923 - val_type_output_accuracy: 0.5143 - val_type_output_loss: 1.3791\n",
|
"\u001b[1m9/9\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 28ms/step - a_output_loss: 2.7148 - a_output_sparse_categorical_accuracy: 0.2674 - loss: 6.7993 - q_output_loss: 3.8706 - q_output_sparse_categorical_accuracy: 0.1625 - type_output_accuracy: 0.5096 - type_output_loss: 0.7111 - val_a_output_loss: 1.9687 - val_a_output_sparse_categorical_accuracy: 0.4042 - val_loss: 5.6731 - val_q_output_loss: 3.4983 - val_q_output_sparse_categorical_accuracy: 0.2848 - val_type_output_accuracy: 0.8167 - val_type_output_loss: 0.6870\n",
|
||||||
"Epoch 3/30\n",
|
"Epoch 3/30\n",
|
||||||
"\u001b[1m5/5\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 48ms/step - a_output_loss: 3.5259 - a_output_sparse_categorical_accuracy: 0.2500 - loss: 8.4974 - q_output_loss: 4.6444 - q_output_sparse_categorical_accuracy: 0.1174 - type_output_accuracy: 0.5233 - type_output_loss: 1.0788 - val_a_output_loss: 3.3879 - val_a_output_sparse_categorical_accuracy: 0.2500 - val_loss: 9.5209 - val_q_output_loss: 5.7546 - val_q_output_sparse_categorical_accuracy: 0.0769 - val_type_output_accuracy: 0.2000 - val_type_output_loss: 1.2615\n",
|
"\u001b[1m9/9\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 29ms/step - a_output_loss: 2.4494 - a_output_sparse_categorical_accuracy: 0.3225 - loss: 6.0211 - q_output_loss: 3.3610 - q_output_sparse_categorical_accuracy: 0.2195 - type_output_accuracy: 0.6316 - type_output_loss: 0.6890 - val_a_output_loss: 1.8200 - val_a_output_sparse_categorical_accuracy: 0.4042 - val_loss: 5.1733 - val_q_output_loss: 3.1541 - val_q_output_sparse_categorical_accuracy: 0.2136 - val_type_output_accuracy: 0.6167 - val_type_output_loss: 0.6640\n",
|
||||||
"Epoch 4/30\n",
|
"Epoch 4/30\n",
|
||||||
"\u001b[1m5/5\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 48ms/step - a_output_loss: 3.3147 - a_output_sparse_categorical_accuracy: 0.2500 - loss: 8.1027 - q_output_loss: 4.4209 - q_output_sparse_categorical_accuracy: 0.1099 - type_output_accuracy: 0.3256 - type_output_loss: 1.2069 - val_a_output_loss: 3.0792 - val_a_output_sparse_categorical_accuracy: 0.2500 - val_loss: 9.2232 - val_q_output_loss: 5.8382 - val_q_output_sparse_categorical_accuracy: 0.0769 - val_type_output_accuracy: 0.5143 - val_type_output_loss: 1.0193\n",
|
"\u001b[1m9/9\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 29ms/step - a_output_loss: 2.2031 - a_output_sparse_categorical_accuracy: 0.3726 - loss: 5.4427 - q_output_loss: 3.0396 - q_output_sparse_categorical_accuracy: 0.2869 - type_output_accuracy: 0.5478 - type_output_loss: 0.6786 - val_a_output_loss: 1.5951 - val_a_output_sparse_categorical_accuracy: 0.4042 - val_loss: 4.6514 - val_q_output_loss: 2.8462 - val_q_output_sparse_categorical_accuracy: 0.3758 - val_type_output_accuracy: 0.3833 - val_type_output_loss: 0.7003\n",
|
||||||
"Epoch 5/30\n",
|
"Epoch 5/30\n",
|
||||||
"\u001b[1m5/5\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 48ms/step - a_output_loss: 3.1559 - a_output_sparse_categorical_accuracy: 0.2500 - loss: 7.7733 - q_output_loss: 4.3048 - q_output_sparse_categorical_accuracy: 0.1120 - type_output_accuracy: 0.5160 - type_output_loss: 1.0414 - val_a_output_loss: 3.0450 - val_a_output_sparse_categorical_accuracy: 0.2500 - val_loss: 9.1657 - val_q_output_loss: 5.7943 - val_q_output_sparse_categorical_accuracy: 0.0923 - val_type_output_accuracy: 0.5143 - val_type_output_loss: 1.0881\n",
|
"\u001b[1m9/9\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 30ms/step - a_output_loss: 2.0493 - a_output_sparse_categorical_accuracy: 0.3739 - loss: 4.9806 - q_output_loss: 2.7312 - q_output_sparse_categorical_accuracy: 0.3659 - type_output_accuracy: 0.5789 - type_output_loss: 0.6663 - val_a_output_loss: 1.5595 - val_a_output_sparse_categorical_accuracy: 0.4042 - val_loss: 4.3330 - val_q_output_loss: 2.5741 - val_q_output_sparse_categorical_accuracy: 0.4197 - val_type_output_accuracy: 0.4833 - val_type_output_loss: 0.6650\n",
|
||||||
"Epoch 6/30\n",
|
"Epoch 6/30\n",
|
||||||
"\u001b[1m5/5\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 48ms/step - a_output_loss: 3.0962 - a_output_sparse_categorical_accuracy: 0.2569 - loss: 7.6096 - q_output_loss: 4.1973 - q_output_sparse_categorical_accuracy: 0.1121 - type_output_accuracy: 0.5318 - type_output_loss: 1.0492 - val_a_output_loss: 3.1428 - val_a_output_sparse_categorical_accuracy: 0.3214 - val_loss: 9.2982 - val_q_output_loss: 5.8475 - val_q_output_sparse_categorical_accuracy: 0.0769 - val_type_output_accuracy: 0.5143 - val_type_output_loss: 1.0265\n"
|
"\u001b[1m9/9\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 28ms/step - a_output_loss: 1.9310 - a_output_sparse_categorical_accuracy: 0.3769 - loss: 4.5682 - q_output_loss: 2.4562 - q_output_sparse_categorical_accuracy: 0.4147 - type_output_accuracy: 0.6767 - type_output_loss: 0.6249 - val_a_output_loss: 1.4318 - val_a_output_sparse_categorical_accuracy: 0.4042 - val_loss: 3.9148 - val_q_output_loss: 2.3074 - val_q_output_sparse_categorical_accuracy: 0.4333 - val_type_output_accuracy: 0.8167 - val_type_output_loss: 0.5853\n",
|
||||||
|
"Epoch 7/30\n",
|
||||||
|
"\u001b[1m9/9\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 28ms/step - a_output_loss: 1.8407 - a_output_sparse_categorical_accuracy: 0.3722 - loss: 4.1857 - q_output_loss: 2.1853 - q_output_sparse_categorical_accuracy: 0.4229 - type_output_accuracy: 0.7938 - type_output_loss: 0.5382 - val_a_output_loss: 1.3413 - val_a_output_sparse_categorical_accuracy: 0.4042 - val_loss: 3.5705 - val_q_output_loss: 2.0979 - val_q_output_sparse_categorical_accuracy: 0.4515 - val_type_output_accuracy: 0.8500 - val_type_output_loss: 0.4377\n",
|
||||||
|
"Epoch 8/30\n",
|
||||||
|
"\u001b[1m9/9\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 28ms/step - a_output_loss: 1.8257 - a_output_sparse_categorical_accuracy: 0.3606 - loss: 3.9578 - q_output_loss: 1.9912 - q_output_sparse_categorical_accuracy: 0.4426 - type_output_accuracy: 0.7711 - type_output_loss: 0.4701 - val_a_output_loss: 1.2847 - val_a_output_sparse_categorical_accuracy: 0.4042 - val_loss: 3.3498 - val_q_output_loss: 1.9433 - val_q_output_sparse_categorical_accuracy: 0.4712 - val_type_output_accuracy: 0.8500 - val_type_output_loss: 0.4062\n",
|
||||||
|
"Epoch 9/30\n",
|
||||||
|
"\u001b[1m9/9\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 29ms/step - a_output_loss: 1.6802 - a_output_sparse_categorical_accuracy: 0.3683 - loss: 3.6282 - q_output_loss: 1.8210 - q_output_sparse_categorical_accuracy: 0.4542 - type_output_accuracy: 0.7996 - type_output_loss: 0.4131 - val_a_output_loss: 1.2484 - val_a_output_sparse_categorical_accuracy: 0.4042 - val_loss: 3.1973 - val_q_output_loss: 1.8318 - val_q_output_sparse_categorical_accuracy: 0.4667 - val_type_output_accuracy: 0.8500 - val_type_output_loss: 0.3905\n",
|
||||||
|
"Epoch 10/30\n",
|
||||||
|
"\u001b[1m9/9\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 29ms/step - a_output_loss: 1.6225 - a_output_sparse_categorical_accuracy: 0.3738 - loss: 3.4468 - q_output_loss: 1.7095 - q_output_sparse_categorical_accuracy: 0.4516 - type_output_accuracy: 0.8104 - type_output_loss: 0.3915 - val_a_output_loss: 1.2075 - val_a_output_sparse_categorical_accuracy: 0.4042 - val_loss: 3.0751 - val_q_output_loss: 1.7371 - val_q_output_sparse_categorical_accuracy: 0.4758 - val_type_output_accuracy: 0.8167 - val_type_output_loss: 0.4349\n",
|
||||||
|
"Epoch 11/30\n",
|
||||||
|
"\u001b[1m9/9\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 28ms/step - a_output_loss: 1.5862 - a_output_sparse_categorical_accuracy: 0.3721 - loss: 3.3171 - q_output_loss: 1.6153 - q_output_sparse_categorical_accuracy: 0.4538 - type_output_accuracy: 0.8102 - type_output_loss: 0.3785 - val_a_output_loss: 1.1730 - val_a_output_sparse_categorical_accuracy: 0.4042 - val_loss: 2.9582 - val_q_output_loss: 1.6659 - val_q_output_sparse_categorical_accuracy: 0.4697 - val_type_output_accuracy: 0.8500 - val_type_output_loss: 0.3979\n",
|
||||||
|
"Epoch 12/30\n",
|
||||||
|
"\u001b[1m9/9\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 29ms/step - a_output_loss: 1.5335 - a_output_sparse_categorical_accuracy: 0.3664 - loss: 3.1939 - q_output_loss: 1.5335 - q_output_sparse_categorical_accuracy: 0.4518 - type_output_accuracy: 0.7775 - type_output_loss: 0.4105 - val_a_output_loss: 1.1304 - val_a_output_sparse_categorical_accuracy: 0.4042 - val_loss: 2.8616 - val_q_output_loss: 1.6143 - val_q_output_sparse_categorical_accuracy: 0.4727 - val_type_output_accuracy: 0.8500 - val_type_output_loss: 0.3897\n",
|
||||||
|
"Epoch 13/30\n",
|
||||||
|
"\u001b[1m9/9\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 28ms/step - a_output_loss: 1.4389 - a_output_sparse_categorical_accuracy: 0.3754 - loss: 3.0570 - q_output_loss: 1.5013 - q_output_sparse_categorical_accuracy: 0.4627 - type_output_accuracy: 0.8116 - type_output_loss: 0.3873 - val_a_output_loss: 1.1223 - val_a_output_sparse_categorical_accuracy: 0.4083 - val_loss: 2.8335 - val_q_output_loss: 1.5881 - val_q_output_sparse_categorical_accuracy: 0.4515 - val_type_output_accuracy: 0.8333 - val_type_output_loss: 0.4107\n",
|
||||||
|
"Epoch 14/30\n",
|
||||||
|
"\u001b[1m9/9\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 30ms/step - a_output_loss: 1.4312 - a_output_sparse_categorical_accuracy: 0.3714 - loss: 2.9962 - q_output_loss: 1.4529 - q_output_sparse_categorical_accuracy: 0.4608 - type_output_accuracy: 0.7943 - type_output_loss: 0.3844 - val_a_output_loss: 1.1235 - val_a_output_sparse_categorical_accuracy: 0.4042 - val_loss: 2.8020 - val_q_output_loss: 1.5603 - val_q_output_sparse_categorical_accuracy: 0.4652 - val_type_output_accuracy: 0.8500 - val_type_output_loss: 0.3939\n",
|
||||||
|
"Epoch 15/30\n",
|
||||||
|
"\u001b[1m9/9\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 28ms/step - a_output_loss: 1.3670 - a_output_sparse_categorical_accuracy: 0.3787 - loss: 2.9339 - q_output_loss: 1.4391 - q_output_sparse_categorical_accuracy: 0.4609 - type_output_accuracy: 0.7846 - type_output_loss: 0.4245 - val_a_output_loss: 1.1046 - val_a_output_sparse_categorical_accuracy: 0.4042 - val_loss: 2.7626 - val_q_output_loss: 1.5316 - val_q_output_sparse_categorical_accuracy: 0.4697 - val_type_output_accuracy: 0.8000 - val_type_output_loss: 0.4212\n",
|
||||||
|
"Epoch 16/30\n",
|
||||||
|
"\u001b[1m9/9\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 28ms/step - a_output_loss: 1.3007 - a_output_sparse_categorical_accuracy: 0.3830 - loss: 2.8316 - q_output_loss: 1.4239 - q_output_sparse_categorical_accuracy: 0.4647 - type_output_accuracy: 0.8005 - type_output_loss: 0.3726 - val_a_output_loss: 1.1026 - val_a_output_sparse_categorical_accuracy: 0.4083 - val_loss: 2.7498 - val_q_output_loss: 1.5221 - val_q_output_sparse_categorical_accuracy: 0.4652 - val_type_output_accuracy: 0.8000 - val_type_output_loss: 0.4171\n",
|
||||||
|
"Epoch 17/30\n",
|
||||||
|
"\u001b[1m9/9\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 31ms/step - a_output_loss: 1.3868 - a_output_sparse_categorical_accuracy: 0.3768 - loss: 2.8855 - q_output_loss: 1.3850 - q_output_sparse_categorical_accuracy: 0.4683 - type_output_accuracy: 0.8190 - type_output_loss: 0.3552 - val_a_output_loss: 1.0983 - val_a_output_sparse_categorical_accuracy: 0.4042 - val_loss: 2.7381 - val_q_output_loss: 1.5079 - val_q_output_sparse_categorical_accuracy: 0.4636 - val_type_output_accuracy: 0.8000 - val_type_output_loss: 0.4401\n",
|
||||||
|
"Epoch 18/30\n",
|
||||||
|
"\u001b[1m9/9\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 28ms/step - a_output_loss: 1.2897 - a_output_sparse_categorical_accuracy: 0.3837 - loss: 2.7760 - q_output_loss: 1.3759 - q_output_sparse_categorical_accuracy: 0.4749 - type_output_accuracy: 0.8087 - type_output_loss: 0.3802 - val_a_output_loss: 1.1044 - val_a_output_sparse_categorical_accuracy: 0.4042 - val_loss: 2.7490 - val_q_output_loss: 1.5155 - val_q_output_sparse_categorical_accuracy: 0.4636 - val_type_output_accuracy: 0.8000 - val_type_output_loss: 0.4305\n",
|
||||||
|
"Epoch 19/30\n",
|
||||||
|
"\u001b[1m9/9\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 30ms/step - a_output_loss: 1.3054 - a_output_sparse_categorical_accuracy: 0.3802 - loss: 2.7626 - q_output_loss: 1.3517 - q_output_sparse_categorical_accuracy: 0.4699 - type_output_accuracy: 0.8228 - type_output_loss: 0.3645 - val_a_output_loss: 1.0990 - val_a_output_sparse_categorical_accuracy: 0.4125 - val_loss: 2.7261 - val_q_output_loss: 1.4992 - val_q_output_sparse_categorical_accuracy: 0.4667 - val_type_output_accuracy: 0.8000 - val_type_output_loss: 0.4264\n",
|
||||||
|
"Epoch 20/30\n",
|
||||||
|
"\u001b[1m9/9\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 28ms/step - a_output_loss: 1.2454 - a_output_sparse_categorical_accuracy: 0.3856 - loss: 2.7195 - q_output_loss: 1.3633 - q_output_sparse_categorical_accuracy: 0.4751 - type_output_accuracy: 0.8284 - type_output_loss: 0.3665 - val_a_output_loss: 1.1154 - val_a_output_sparse_categorical_accuracy: 0.4125 - val_loss: 2.7285 - val_q_output_loss: 1.4769 - val_q_output_sparse_categorical_accuracy: 0.4652 - val_type_output_accuracy: 0.7833 - val_type_output_loss: 0.4540\n",
|
||||||
|
"Epoch 21/30\n",
|
||||||
|
"\u001b[1m9/9\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 29ms/step - a_output_loss: 1.2583 - a_output_sparse_categorical_accuracy: 0.3896 - loss: 2.7032 - q_output_loss: 1.3383 - q_output_sparse_categorical_accuracy: 0.4719 - type_output_accuracy: 0.8246 - type_output_loss: 0.3594 - val_a_output_loss: 1.1381 - val_a_output_sparse_categorical_accuracy: 0.4125 - val_loss: 2.8064 - val_q_output_loss: 1.4643 - val_q_output_sparse_categorical_accuracy: 0.4788 - val_type_output_accuracy: 0.6500 - val_type_output_loss: 0.6802\n",
|
||||||
|
"Epoch 22/30\n",
|
||||||
|
"\u001b[1m9/9\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 28ms/step - a_output_loss: 1.3214 - a_output_sparse_categorical_accuracy: 0.3743 - loss: 2.7428 - q_output_loss: 1.3119 - q_output_sparse_categorical_accuracy: 0.4669 - type_output_accuracy: 0.8213 - type_output_loss: 0.3563 - val_a_output_loss: 1.1002 - val_a_output_sparse_categorical_accuracy: 0.4125 - val_loss: 2.7029 - val_q_output_loss: 1.4733 - val_q_output_sparse_categorical_accuracy: 0.4727 - val_type_output_accuracy: 0.8333 - val_type_output_loss: 0.4315\n",
|
||||||
|
"Epoch 23/30\n",
|
||||||
|
"\u001b[1m9/9\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 29ms/step - a_output_loss: 1.2769 - a_output_sparse_categorical_accuracy: 0.3907 - loss: 2.7114 - q_output_loss: 1.3188 - q_output_sparse_categorical_accuracy: 0.4772 - type_output_accuracy: 0.8281 - type_output_loss: 0.3824 - val_a_output_loss: 1.1039 - val_a_output_sparse_categorical_accuracy: 0.4042 - val_loss: 2.7224 - val_q_output_loss: 1.4924 - val_q_output_sparse_categorical_accuracy: 0.4727 - val_type_output_accuracy: 0.8167 - val_type_output_loss: 0.4205\n",
|
||||||
|
"Epoch 24/30\n",
|
||||||
|
"\u001b[1m9/9\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 29ms/step - a_output_loss: 1.1957 - a_output_sparse_categorical_accuracy: 0.3969 - loss: 2.6335 - q_output_loss: 1.3299 - q_output_sparse_categorical_accuracy: 0.4776 - type_output_accuracy: 0.8342 - type_output_loss: 0.3683 - val_a_output_loss: 1.0974 - val_a_output_sparse_categorical_accuracy: 0.4167 - val_loss: 2.7003 - val_q_output_loss: 1.4677 - val_q_output_sparse_categorical_accuracy: 0.4667 - val_type_output_accuracy: 0.8000 - val_type_output_loss: 0.4504\n",
|
||||||
|
"Epoch 25/30\n",
|
||||||
|
"\u001b[1m9/9\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 28ms/step - a_output_loss: 1.2393 - a_output_sparse_categorical_accuracy: 0.3898 - loss: 2.6442 - q_output_loss: 1.2937 - q_output_sparse_categorical_accuracy: 0.4804 - type_output_accuracy: 0.8273 - type_output_loss: 0.3564 - val_a_output_loss: 1.1525 - val_a_output_sparse_categorical_accuracy: 0.4125 - val_loss: 2.7743 - val_q_output_loss: 1.4611 - val_q_output_sparse_categorical_accuracy: 0.4682 - val_type_output_accuracy: 0.7833 - val_type_output_loss: 0.5356\n",
|
||||||
|
"Epoch 26/30\n",
|
||||||
|
"\u001b[1m9/9\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 29ms/step - a_output_loss: 1.1872 - a_output_sparse_categorical_accuracy: 0.4001 - loss: 2.5917 - q_output_loss: 1.2930 - q_output_sparse_categorical_accuracy: 0.4802 - type_output_accuracy: 0.8280 - type_output_loss: 0.3555 - val_a_output_loss: 1.1505 - val_a_output_sparse_categorical_accuracy: 0.4083 - val_loss: 2.7684 - val_q_output_loss: 1.4587 - val_q_output_sparse_categorical_accuracy: 0.4742 - val_type_output_accuracy: 0.8000 - val_type_output_loss: 0.5307\n",
|
||||||
|
"Epoch 27/30\n",
|
||||||
|
"\u001b[1m9/9\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 28ms/step - a_output_loss: 1.1337 - a_output_sparse_categorical_accuracy: 0.4077 - loss: 2.5274 - q_output_loss: 1.2917 - q_output_sparse_categorical_accuracy: 0.4856 - type_output_accuracy: 0.8328 - type_output_loss: 0.3424 - val_a_output_loss: 1.1274 - val_a_output_sparse_categorical_accuracy: 0.4208 - val_loss: 2.7139 - val_q_output_loss: 1.4500 - val_q_output_sparse_categorical_accuracy: 0.4788 - val_type_output_accuracy: 0.8000 - val_type_output_loss: 0.4548\n",
|
||||||
|
"Epoch 28/30\n",
|
||||||
|
"\u001b[1m9/9\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 30ms/step - a_output_loss: 1.1081 - a_output_sparse_categorical_accuracy: 0.4104 - loss: 2.4859 - q_output_loss: 1.2903 - q_output_sparse_categorical_accuracy: 0.4845 - type_output_accuracy: 0.8714 - type_output_loss: 0.2936 - val_a_output_loss: 1.1394 - val_a_output_sparse_categorical_accuracy: 0.4167 - val_loss: 2.7244 - val_q_output_loss: 1.4512 - val_q_output_sparse_categorical_accuracy: 0.4652 - val_type_output_accuracy: 0.8167 - val_type_output_loss: 0.4457\n"
|
||||||
]
|
]
|
||||||
}
|
}
|
||||||
],
|
],
|
||||||
|
|
@ -485,7 +529,7 @@
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 98,
|
"execution_count": 37,
|
||||||
"id": "3355c0c7",
|
"id": "3355c0c7",
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
|
|
@ -598,7 +642,7 @@
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 99,
|
"execution_count": 38,
|
||||||
"id": "d406e6ff",
|
"id": "d406e6ff",
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
|
|
@ -606,9 +650,9 @@
|
||||||
"name": "stdout",
|
"name": "stdout",
|
||||||
"output_type": "stream",
|
"output_type": "stream",
|
||||||
"text": [
|
"text": [
|
||||||
"Generated Question: menghadiri menghadiri ___ ___\n",
|
"Generated Question: gilang maulana lahir di semarang pada 26 november 1983 ___\n",
|
||||||
"Generated Answer : \n",
|
"Generated Answer : true\n",
|
||||||
"Question Type : isian\n"
|
"Question Type : true_false\n"
|
||||||
]
|
]
|
||||||
}
|
}
|
||||||
],
|
],
|
||||||
|
|
@ -675,9 +719,29 @@
|
||||||
"\n",
|
"\n",
|
||||||
"def test_model():\n",
|
"def test_model():\n",
|
||||||
" test_data = {\n",
|
" test_data = {\n",
|
||||||
" \"tokens\": [\"nama\", \"lengkap\", \"saya\", \"Maya\", \"Maya\"],\n",
|
" \"tokens\": [\n",
|
||||||
" \"ner\": [\"O\", \"O\", \"O\", \"B-PER\", \"B-PER\"],\n",
|
" \"indra\",\n",
|
||||||
" \"srl\": [\"O\", \"O\", \"ARG0\", \"ARG0\", \"ARG0\"],\n",
|
" \"maulana\",\n",
|
||||||
|
" \"lahir\",\n",
|
||||||
|
" \"di\",\n",
|
||||||
|
" \"semarang\",\n",
|
||||||
|
" \"pada\",\n",
|
||||||
|
" \"12\",\n",
|
||||||
|
" \"maret\",\n",
|
||||||
|
" \"1977\",\n",
|
||||||
|
" ],\n",
|
||||||
|
" \"ner\": [\"B-PER\", \"I-PER\", \"V\", \"O\", \"B-LOC\", \"O\", \"B-DATE\", \"I-DATE\", \"I-DATE\"],\n",
|
||||||
|
" \"srl\": [\n",
|
||||||
|
" \"ARG0\",\n",
|
||||||
|
" \"ARG0\",\n",
|
||||||
|
" \"V\",\n",
|
||||||
|
" \"O\",\n",
|
||||||
|
" \"ARGM-LOC\",\n",
|
||||||
|
" \"O\",\n",
|
||||||
|
" \"ARGM-TMP\",\n",
|
||||||
|
" \"ARGM-TMP\",\n",
|
||||||
|
" \"ARGM-TMP\",\n",
|
||||||
|
" ],\n",
|
||||||
" }\n",
|
" }\n",
|
||||||
" # tokens = [\n",
|
" # tokens = [\n",
|
||||||
" # \"soekarno\",\n",
|
" # \"soekarno\",\n",
|
||||||
|
|
@ -705,7 +769,7 @@
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 100,
|
"execution_count": 39,
|
||||||
"id": "5adde3c3",
|
"id": "5adde3c3",
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
|
|
@ -713,8 +777,8 @@
|
||||||
"name": "stdout",
|
"name": "stdout",
|
||||||
"output_type": "stream",
|
"output_type": "stream",
|
||||||
"text": [
|
"text": [
|
||||||
"BLEU : 0.0385\n",
|
"BLEU : 0.1185\n",
|
||||||
"ROUGE1: 0.1052 | ROUGE-L: 0.1052\n"
|
"ROUGE1: 0.3967 | ROUGE-L: 0.3967\n"
|
||||||
]
|
]
|
||||||
}
|
}
|
||||||
],
|
],
|
||||||
|
|
|
||||||
Loading…
Reference in New Issue