From 2392c398de6378b4dd15a0052a7dce96c8db2b80 Mon Sep 17 00:00:00 2001 From: MikolajPaterka Date: Fri, 17 Feb 2023 19:21:51 +0100 Subject: [PATCH] FLAN-T5 kilka wersji --- projekt/README.md | 22 +++++++++++++++++++++- projekt/Ver1_FLAN-T5_sms_spam.ipynb | 1 + projekt/Ver3_FLAN-T5_sms_spam.ipynb | 1 + projekt/Ver_2_FLAN-T5_sms_spam.ipynb | 1 + projekt/Ver_4_FLAN-T5_sms_spam.ipynb | 1 + projekt/Ver_5_FLAN-T5_sms_spam.ipynb | 1 + projekt/Ver_6_FLAN-T5_sms_spam.ipynb | 1 + 7 files changed, 27 insertions(+), 1 deletion(-) create mode 100644 projekt/Ver1_FLAN-T5_sms_spam.ipynb create mode 100644 projekt/Ver3_FLAN-T5_sms_spam.ipynb create mode 100644 projekt/Ver_2_FLAN-T5_sms_spam.ipynb create mode 100644 projekt/Ver_4_FLAN-T5_sms_spam.ipynb create mode 100644 projekt/Ver_5_FLAN-T5_sms_spam.ipynb create mode 100644 projekt/Ver_6_FLAN-T5_sms_spam.ipynb diff --git a/projekt/README.md b/projekt/README.md index 1b9156f..9bcbd9b 100644 --- a/projekt/README.md +++ b/projekt/README.md @@ -96,4 +96,24 @@ Dzięki głowie modelu, która jest przeznaczona specjalnie do zadania klasyfika ### T5 oraz FLAN-T5 Modele T5 oraz FLAN-T5 to modele text-2-text, których głównym celem jest multizadaniowość. Nie są zoptymalizowane do zadania klasyfikacji, ale mimo to osiągnęły dobry wynik. W modelu T5 bardzo ważne jest określnie zadania w prefixie inputu, które będzie wykonywał model. Testowaliśmy różne kombinacje - brak prefixu, dokładny opis zadania, różne klasy wyjściowe, ale najlepsze rezultaty uzyskał prefix 'binary classification: ' z klasami wyjściowymi '0' lub '1'. Niski MCC świadczy o niezbalansowaniu predykcji.

-FLAN-T5 to zoptymalizowany model T5. Został dodatkowo finetunowany na większym zbiorze danych. Przy uczeniu FLAN-T5 zastosowaliśmy metodę few-shot learning. Model mimo bardzo małej ilości przykładów osiągnął accuracy na poziomie 46%, jednak wynik MCC wskazuje na duże niezbalansowanie i losowe predykcje. Jest to jednak bardzo ciekawe, że wykorzystując tylko 4 przykady do uczenia, model może odpowiadać z pasującymi wynikami (niekoniecznie prawdziwymi). \ No newline at end of file +FLAN-T5 to zoptymalizowany model T5. Został dodatkowo finetunowany na większym zbiorze danych. Przy uczeniu FLAN-T5 zastosowaliśmy metodę few-shot learning. Model mimo bardzo małej ilości przykładów osiągnął accuracy na poziomie 46%, jednak wynik MCC wskazuje na duże niezbalansowanie i losowe predykcje. Jest to jednak bardzo ciekawe, że wykorzystując tylko 4 przykady do uczenia, model może odpowiadać z pasującymi wynikami (niekoniecznie prawdziwymi). + +### FLAN-T5 - testy +|Wersja|Rozmiar|Prefiks|Acc| +|---|---|---|---| +|1|base|SMS - Content of the text message:
Result - Answer if this text message is spam or not|0.503593244699964| +|2|large|SMS - Content of the text message:
Result - Answer if this text message is spam or not|0.46119295724038806| +|3|base|SMS - The text message contains the following content:
Result - Is it true that the content of a text message is spam:|0.2551203736974488| +|4|large|SMS - The text message contains the following content:
Result - Is it true that the content of a text message is spam:|0.1433704635285663| +|5|base|SMS - The text message:
Result - Is this sms spam? Ans:|0.28404599353215954| +|6|large|SMS - The text message:
Result - Is this sms spam? Ans:|0.20786920589292132| + + +### Modele FLAN_T5 + +1. https://drive.google.com/drive/folders/1XO2TEMIKKFXCwpeW1X51hpC89LShCZ6c?usp=share_link +2. https://drive.google.com/drive/folders/1-3DEVCcxhRGSmEVx3jK4SUVVIUixNKqS?usp=share_link +3. https://drive.google.com/drive/folders/1-0Ct4JFzRhyo3bGuOc9ttZhaV4ghQRFx?usp=share_link +4. https://drive.google.com/drive/folders/1-1YgvI9-2cpkRO1hSlYU-hJFH2a1rmDp?usp=share_link +5. https://drive.google.com/drive/folders/1-4KINMK9L_VyCZGpCDueazmF2DUbRXTn?usp=share_link +6. https://drive.google.com/drive/folders/1-3gQuzZVq6IMqcY1nDu2hazVD0dN6F-K?usp=share_link \ No newline at end of file diff --git a/projekt/Ver1_FLAN-T5_sms_spam.ipynb b/projekt/Ver1_FLAN-T5_sms_spam.ipynb new file mode 100644 index 0000000..e33d2ac --- /dev/null +++ b/projekt/Ver1_FLAN-T5_sms_spam.ipynb @@ -0,0 +1 @@ +{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[]},"kernelspec":{"name":"python3","display_name":"Python 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Instalacja pakietów"],"metadata":{"id":"ZXsOR6oJOJbd"}},{"cell_type":"code","execution_count":2,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"8l0hzptKNiZS","executionInfo":{"status":"ok","timestamp":1676652341429,"user_tz":-60,"elapsed":5296,"user":{"displayName":"Mikołaj Paterka","userId":"09090979117369578839"}},"outputId":"c8f3b15a-78e6-4b24-d7f8-7a76ef36cc76"},"outputs":[{"output_type":"stream","name":"stdout","text":["Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n","Requirement already satisfied: transformers in /usr/local/lib/python3.8/dist-packages (4.26.1)\n","Requirement already satisfied: datasets in /usr/local/lib/python3.8/dist-packages (2.9.0)\n","Requirement already satisfied: torch in /usr/local/lib/python3.8/dist-packages (1.13.1+cu116)\n","Requirement already satisfied: sentencepiece in /usr/local/lib/python3.8/dist-packages (0.1.97)\n","Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.8/dist-packages (from transformers) (1.21.6)\n","Requirement already satisfied: huggingface-hub<1.0,>=0.11.0 in /usr/local/lib/python3.8/dist-packages (from transformers) (0.12.1)\n","Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.8/dist-packages (from transformers) (4.64.1)\n","Requirement already satisfied: requests in /usr/local/lib/python3.8/dist-packages (from transformers) (2.25.1)\n","Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.8/dist-packages (from transformers) (6.0)\n","Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.8/dist-packages (from transformers) (2022.6.2)\n","Requirement already satisfied: tokenizers!=0.11.3,<0.14,>=0.11.1 in /usr/local/lib/python3.8/dist-packages (from transformers) (0.13.2)\n","Requirement already satisfied: filelock in /usr/local/lib/python3.8/dist-packages (from transformers) (3.9.0)\n","Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.8/dist-packages (from transformers) (23.0)\n","Requirement already satisfied: fsspec[http]>=2021.11.1 in /usr/local/lib/python3.8/dist-packages (from datasets) (2023.1.0)\n","Requirement already satisfied: pyarrow>=6.0.0 in /usr/local/lib/python3.8/dist-packages (from datasets) (9.0.0)\n","Requirement already satisfied: pandas in /usr/local/lib/python3.8/dist-packages (from datasets) (1.3.5)\n","Requirement already satisfied: responses<0.19 in /usr/local/lib/python3.8/dist-packages (from datasets) (0.18.0)\n","Requirement already satisfied: xxhash in /usr/local/lib/python3.8/dist-packages (from datasets) (3.2.0)\n","Requirement already satisfied: dill<0.3.7 in /usr/local/lib/python3.8/dist-packages (from datasets) (0.3.6)\n","Requirement already satisfied: multiprocess in /usr/local/lib/python3.8/dist-packages (from datasets) (0.70.14)\n","Requirement already satisfied: aiohttp in /usr/local/lib/python3.8/dist-packages (from datasets) (3.8.3)\n","Requirement already satisfied: typing-extensions in /usr/local/lib/python3.8/dist-packages (from torch) (4.4.0)\n","Requirement already satisfied: yarl<2.0,>=1.0 in /usr/local/lib/python3.8/dist-packages (from aiohttp->datasets) (1.8.2)\n","Requirement already satisfied: charset-normalizer<3.0,>=2.0 in /usr/local/lib/python3.8/dist-packages (from aiohttp->datasets) (2.1.1)\n","Requirement already satisfied: async-timeout<5.0,>=4.0.0a3 in /usr/local/lib/python3.8/dist-packages (from aiohttp->datasets) (4.0.2)\n","Requirement already satisfied: attrs>=17.3.0 in /usr/local/lib/python3.8/dist-packages (from aiohttp->datasets) (22.2.0)\n","Requirement already satisfied: frozenlist>=1.1.1 in /usr/local/lib/python3.8/dist-packages (from aiohttp->datasets) (1.3.3)\n","Requirement already satisfied: multidict<7.0,>=4.5 in /usr/local/lib/python3.8/dist-packages (from aiohttp->datasets) (6.0.4)\n","Requirement already satisfied: aiosignal>=1.1.2 in /usr/local/lib/python3.8/dist-packages (from aiohttp->datasets) (1.3.1)\n","Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.8/dist-packages (from requests->transformers) (2.10)\n","Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/local/lib/python3.8/dist-packages (from requests->transformers) (1.26.14)\n","Requirement already satisfied: chardet<5,>=3.0.2 in /usr/local/lib/python3.8/dist-packages (from requests->transformers) (4.0.0)\n","Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.8/dist-packages (from requests->transformers) (2022.12.7)\n","Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.8/dist-packages (from pandas->datasets) (2.8.2)\n","Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas->datasets) (2022.7.1)\n","Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.8/dist-packages (from python-dateutil>=2.7.3->pandas->datasets) (1.15.0)\n"]}],"source":["!pip install transformers datasets torch sentencepiece"]},{"cell_type":"markdown","source":["# Załadowanie datasetu"],"metadata":{"id":"dhN0rmb5Oi3d"}},{"cell_type":"code","source":["from datasets import load_dataset"],"metadata":{"id":"tnaDkwZ2Pbnn","executionInfo":{"status":"ok","timestamp":1676652341811,"user_tz":-60,"elapsed":389,"user":{"displayName":"Mikołaj Paterka","userId":"09090979117369578839"}}},"execution_count":3,"outputs":[]},{"cell_type":"code","source":["dataset = load_dataset(\"sms_spam\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":211,"referenced_widgets":["ba9d40cd07c34f4fb1f9fbd73092fbf6","9de313fab7ae49b080fb5192acb456c0","211c322124ff451c8d6cddbc842e650b","9e285551432c4b5daa6afa6049a0a88d","e355e0d5122a46d785cdc07117a66990","2db46abba29f4f9789de6fdbec1af7a0","9bff66fdf5c94944a63c5525685a71af","27f2295f6b0c4e2f97f511514901b60d","24dd9a57eb984bdaa61c77601a0f5052","752ab7a625c44966b4d0204355ed1d03","e575215f324e4f959cee7086a32c4039","7ae5fccd7dc442f0b6edf652210e8f45","a976451070bc43d3a5f2504e6b2441b6","842cb52b1c214db9a5704752497d5944","20dd392ebbbf4027827a722f1b5244de","b2f23e1760284b5f8b6428d499556825","dc6f0fbc82a84b6f9e01e085a66260b9","36540af07eb34debbc483e635a1aa978","67a513749d4d4e6f8fce80debaafe1a9","ab6920be0d57483db97d91d30b92bc0a","b3cd7dbebf6b488a8a4d7146e0dc89ec","620ed6142c3e4a96b49ce51dca45dbb4","c4ba45f6ee0e4edb9cb1ee26fadeb01a","f87e37e286a74e94adc773e74c2c09c9","c6ab86832ff94f818329bd34d6e6efe2","4c8fbd675bd24a279348316ad06b6676","abb70e15da2849edbc926078009f19de","e147057451f844de84f8c9eb7896550f","d9fd300cff5a4b5d97cddcb217677465","5e95b5a9e0724361a84b729b547ca3ad","148d65aedcb14ae59b2b79363ed919f7","37e3971106aa456981303debb9b4c225","0d66ab66ba6744f99ec4c63334eeb106","0ef3d6b2ea5542eea95c2a8058652cde","834d071dc2844826afe2cba68d7b7ee0","ddc9057d5fcb4f06ad92e89181850c2b","3d6f5d5597f3442ca8d50e82c37ea8f0","7c0f4fac68fc49f8b288d8348196ce73","7317d2612bf54f849071aa6c2846d2a0","a85008da935b414dba2c9cec5a81d998","7c15d362b51c4466a9d994208a1058b7","1e53fe4a87fc4ce3bdf2145fb1f1db7a","328ff44536394df59f5aad906b4ba472","0abafc781cd14f36af17144f84b4e0ee","b0e9810c15bf4877b12cbe5b2b391c11","b11ff7e8103d4f19808023ac61f1c495","a1e2e0b7b94b4c29b10e256d4665ac1c","f6308b3e42ee4759982e054f7f1fc13b","a525b423a38446e7acd4adf0806ce16b","d777deca350c43659ae1c9de6809f975","5b874a9c118b4aba94fb8df333829703","d907fcfb69d44b9585c46df7b97980cc","6b0be17848444747b51137f20854ad53","51f48056fa734f969b98d6779c75fda4","1a7a53fd227441e7bdcd31050b189a85","79b64a59aa904f46803c0013bfaa67c7","8c09a31ddcd94408baea9bb143b3608f","2af0dd8e534d4e25a89ac415d3f7a536","114db7aaead5484ba5379731f0f74de5","1f293d6ea070431e90f8ad1a79c42822","aed3d46ba465417cab5d75d09d395d54","5246a27a3ea94e9cb6d1baafe4a51cdd","2d5a8b6f1e70487781a88da6dc8b6aa5","90b9696a21794d99b9d4dcd34ec7866e","f1221b8b45f14027855dc31cbc932adc","1836db5096354e18810611ffd14c39b8"]},"id":"cCiAuRqrOkvV","executionInfo":{"status":"ok","timestamp":1676652344210,"user_tz":-60,"elapsed":2403,"user":{"displayName":"Mikołaj Paterka","userId":"09090979117369578839"}},"outputId":"e3b61204-b6b5-4d4e-f66f-48cde363888b"},"execution_count":4,"outputs":[{"output_type":"display_data","data":{"text/plain":["Downloading builder script: 0%| | 0.00/3.21k [00:00=0.11.0\n"," Downloading huggingface_hub-0.12.1-py3-none-any.whl (190 kB)\n","\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m190.3/190.3 KB\u001b[0m \u001b[31m15.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[?25hCollecting tokenizers!=0.11.3,<0.14,>=0.11.1\n"," Downloading tokenizers-0.13.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.6 MB)\n","\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m7.6/7.6 MB\u001b[0m \u001b[31m23.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[?25hRequirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.8/dist-packages (from transformers) (1.21.6)\n","Requirement already satisfied: tqdm>=4.27 in 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load_dataset"],"metadata":{"id":"tnaDkwZ2Pbnn","executionInfo":{"status":"ok","timestamp":1676655848707,"user_tz":-60,"elapsed":1224,"user":{"displayName":"Mike1 Studia1","userId":"14831644302217245682"}}},"execution_count":2,"outputs":[]},{"cell_type":"code","source":["dataset = load_dataset(\"sms_spam\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":232,"referenced_widgets":["25db59aa53d542bfb6d54da340006fcd","2eaefa22c2e14c40a2de9592676a8d82","1bf81e50052942208c5100bfdf0c985a","5422e114814145d1a85b423b93d4133c","0031c9a8c8724bce9aff6b3cafc94c2b","3d3b84701cbf468c96170f7563e42408","96bdc942fcca434798c89e4ec74b6dce","5cabe61f114a4c33ae677d9b5306c635","6b39afc3b8bc43768b376186aafe96de","7bd83463f6504145b0ca14ab78750d3a","61d94df2723e4e2d94cd74a1b884d409","d160c37c8eb241eda89f7713fd4d05c2","5fa8d14ffdbc45e6812b50e0d27e14fe","a54fa4aedddc46ba84224971eb1e5227","98c7b45870cc49b7bb3addd225e04301","6f3ada40efe54c13b2c14ad60a6b18e4","f82774bb70cc4f90b80d723f8aa9c7e4","b3f23480d62d4c50a8aaa03118f6b5ce","3a9cfb628ef04d8ca222584f40be05c4","9bdb6d0c6fa54454957211029a960159","67ab4e3216154b67bcdac51d4548ed75","524913d4b3ca4f729acfc975ea490b46","a543b6e11ab046748cdd6c946a1f9084","8c2521b501c64c90998bc05d1a76281c","bca85efcfcd546b9a43ce79a68b7f019","0f359da3c8b1402b8e391c2360531d19","1a6b59d6f8e54a30b69822e6b59fd99f","dccb6a9167aa4b60898047d46363d80e","545f9b3e11cf42818c25709159e7fb3e","6af88f49ff5346b9a0ad07faceede0bd","fc87784596044dd78d045989dbb53a91","331e1896aa424786a810a711143d478e","a39965de69714b26a78f8b976a33a42e","80a4187b45134a4ab30a7748e4f6ff28","326f7ae8ea614699a30da8dfe3f929be","c7574a234b8d492bba0fec988d8e8ae1","2282de3148204153873e6c678d3ab97d","9a9392cc5903455e9206d9c965f5005c","0c48c929e21f4858b9323b7f4ac220b2","17dd8779c5d642ceaa85e0d7c8524436","e5e5197e03c040a99a5d31c57f8a047c","a9aa4d15ad5143b1a5686972ef47186e","d23808437da04c37868bd7526e685a5c","6ac94e8230564af9b05ac561ab5d8e7b","4f03235725824725add5a46e03a5156e","af2ac44def004870a388284503a45b07","3a70f4da67754c5796c8ab5e8eaec187","1c0621a41647430d8dfda34f2f7d8e2f","d0d7c235a53e46e98f99229f26b665d0","accb4a02861c4ad3a7965ba707ab8a38","7d7810f28a2342848026eb36e967d8a5","f7f34fc698bc416383ae59828301469d","373bf37aada844a187f13af6d723333b","7f309cfb6bc54a5e8872524eb63354c2","c69df495e9324100b87aae91c9b34bf6","209b3c2d088b4512bf513e17e74e8a30","eef55327290e4e98b5ac4b2c3e8b4ad4","495b6416c57149bfa9d8418676c4541d","4c01dbed470a4fbc94aaedc3c679385f","dda3f23953f64ceead909262eb0f629d","6165a4a6a5454cd8b73c9702771dcae1","ff4d3372dcc14403aeb19ff960a518f5","dea72bac03c1492da956598f66465472","4b87d5b0da3c4a6484d1757a09de382b","fe6080acb5544dd8a3c512fbf38afd87","1b4bf9de6c59492091f84d80871545c5"]},"id":"cCiAuRqrOkvV","executionInfo":{"status":"ok","timestamp":1676655851010,"user_tz":-60,"elapsed":2305,"user":{"displayName":"Mike1 Studia1","userId":"14831644302217245682"}},"outputId":"78480a8f-563d-42a5-c5dd-4bdfa1f8e78b"},"execution_count":3,"outputs":[{"output_type":"display_data","data":{"text/plain":["Downloading builder script: 0%| | 0.00/3.21k [00:00=4.27 in /usr/local/lib/python3.8/dist-packages (from transformers) (4.64.1)\n","Requirement already satisfied: filelock in /usr/local/lib/python3.8/dist-packages (from transformers) (3.9.0)\n","Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.8/dist-packages (from transformers) (2022.6.2)\n","Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.8/dist-packages (from transformers) (6.0)\n","Collecting huggingface-hub<1.0,>=0.11.0\n"," Downloading huggingface_hub-0.12.1-py3-none-any.whl (190 kB)\n","\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m190.3/190.3 KB\u001b[0m \u001b[31m15.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[?25hRequirement already satisfied: numpy>=1.17 in 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Studia2","userId":"10506861792614965645"}}},"execution_count":2,"outputs":[]},{"cell_type":"code","source":["dataset = load_dataset(\"sms_spam\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":264,"referenced_widgets":["68bd37fea6b9499daec358ce41d9d678","c2be6591c7ff4d4daf26ccd12f1844af","adf02588e5184537a93169222740dd3d","622e16eeafb74e939e0c69d492aa604e","18d424bf759a4996984075b098834129","48546da0c5504023b1209c01b25d4e4c","c95964f713a8408593c599c189dc4ad7","61c14a3d13524b4aa5ed7942390fb1da","c1104de7b8db49789ec58adfc7bfe215","e3eb39ab40684052b3558938d2955d1b","5ad9640c999948cf930de2c024c7c81c","361b829c01d94f028fd511602401b630","b0500d4eb22e470382d692e1dc91d6b5","58912ae770724c56a55212c37502572b","d5ad570f7f4f4cb49b258001d4ac1b58","d0ec3fa6ab724b368df4ab862c5b7b1b","246e37be5003475a8e682e7797fa7db0","ddce8b1ecabe492684b70a3fd8fad029","a254ee7123ec411cb0076b6a15397281","d239e3573e904b51b834cfa5d6e9e3af","e58081a3ec5141ae88bf49a08e3771b5","ece5328c3eab49ea8148efca475f5eb8","12e031e63c4b4753b19c2f262cf6550c","664490b6e48c4e09a37957ea2a32705c","ed9152228e864e02b956dc345ced59ad","130c35b0aef541409fdd1e7b6d33004a","ef4757d97869447f8192346626730277","932e3c5942ac450ab7245d370b410a39","09ed8501e44441b0af5fa6d549abb776","4e4f6641562a4741afdefebfb04c3ca3","a48363c76a424855b178ef5ecc6be3c0","904f59209b524551bd629944d870bd44","721fa15e35844743880b72ab03243309","6557e65a8adc45efab4ef47a50653bf0","0adbedaa248e4eabb6110fde0e32b75e","42156b19be1848e7b6ea19874821fbb9","9911649dc95b46c2a9c04be1e0fa7861","0423daad31da47979f84c546d698480c","7e452481918f485f9901108b8dc9db77","9049707729a14ff1862939f7aec876ab","ddc0eb506b544e85b999f11566162679","a0cf1620ed6b4ea39d57690f7a2c273c","bf7d7c639ca942228ae14179798b5821","840d8a832c8f4a25960ffed3705ce99b","4ac215662d6f40a28a7998911fb617f0","75d0debcd9104328b5ce905d0cf95d05","d47951f821724274a88cd5f157e9224d","82982684fd9341ac92223f30cbea8412","c9df05e8f8f94302b1a61129a0b79ab6","df3bc60cf37d422bbe8e55a9093499e5","c1e6db93577a478d9192fd4a9c03a439","9e61eda06ddf43a8997f4ca69f58dbdb","11e8310afe6e4d6288d1e7e285a880bb","e42e05102ce144758c58874f21c9e2f2","c9b324922b424052b3d9cefadc921c27","6190bdcfdbad409698f1d0f525d4325f","81478adafe094101aa5444721a77013a","423f9593f9894680bbf4dcc4dd2ef724","25d37d0fbc3a4917b4421b3b67f9c4e5","be15f6e1f9d74ac5be7457e4c6edccd0","19f31506f4d140beb5c7ac6076f83b47","8858842842fe4aa3be0c11e80aa65d3a","78d9b1024b214602b0a8c6d15d35a89d","678aa3d231d44c0c9ffb6c38e9e095f6","e789a3898f8c41c2bdf8ea5748b18104","eea178b6106448bca7ea2b9f2eae6527"]},"id":"cCiAuRqrOkvV","executionInfo":{"status":"ok","timestamp":1676654825207,"user_tz":-60,"elapsed":2740,"user":{"displayName":"Mike2 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load_dataset"],"metadata":{"id":"tnaDkwZ2Pbnn","executionInfo":{"status":"ok","timestamp":1676655657691,"user_tz":-60,"elapsed":683,"user":{"displayName":"Mike3 Studia3","userId":"17253749482577755833"}}},"execution_count":2,"outputs":[]},{"cell_type":"code","source":["dataset = load_dataset(\"sms_spam\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":232,"referenced_widgets":["b6eded70136441759cc5ac10b00acb8f","c5f3c896b6534c178ae822c32a8e00b3","fe35cc2de5b840e49d9d9c5fec869656","532adf3b2f7a4b75a095e9455351553c","646379eb229040dcb09aa0f03d6f3f26","5ee0acafd6944686b9ef3dedabed6aef","e3f4a5f8f4864b0d8357aa29d2b8802f","9152a884650a486f9275278678061eec","9e9b5088b6054ba2a48c6b7872a2c383","f222becd734644c4ae631d432e1b3156","510afccfa74748c4bd69a10dc53e3b70","e7db60e680f04318a706fcb1fe7dbcb7","101d73ffbf8c47af9f62103648edc548","5a5500aa9fd84381be7676f570665d7a","76c1dca21a3c4c3c91769c48a4428ba3","cee9b746e101471cb5808e2415091f38","292d1d346d9246f99b87709fac58b0f0","94ddbe64d035427d943606085a697f23","8f9eb5f919144f74856d354642cff880","176ebdce409b49d59423292931d8a5df","a35c33cb3774427f8e739a7b1c948f4e","ea9bb434237643ab8bb4e4d6f884ba67","b1810e9efa944f08ba50be015456287f","76abc09e7e794eef9ffc3081b2ec2da6","2fbff5b358734b579a1b1d471934150d","4a0b0fc9717b4fc6bf5ad887785dec90","af367d23351544f187286a069b469e89","dd56ef64cae84c3f8dcb52b86bfeeede","107cf57f7ba34a7b82a99035098cd60a","d3f4f7df0b8f41b7a11bf9ca7a2c02d1","f0f50dea946240a79adce466c2810c5a","0d06ef4561694b2e8a5c495f55f01320","d8f9577b8ef8418597e3e327ad29e119","97a4213ad47f47aaae8dce4947c541d5","4ae43dc6645b4e7abfd5018b40b6e1cf","1f2721589fd549269dd8c04fb00ac0b1","cfe42f1c148c4507b8bed4eade47d2cd","a91105129f0a4d0daf1f92beee7b696b","ec41724b9add4285bc5d04715505675b","a1ef5bde067c4250b5d5b74ce8b2945d","79810b4bd66442aba12328e39a00e438","5f0c3fbda713440d80ec4d0654b5892d","78e6dfa135804ed785e0a809356c5112","5fe984999000415b8770abe7c6d65bfc","f53b16108c93439d9943b35c28d57988","8a180e9d3cef4d58a5b05509edb39ec4","d97533a9d431471c898cbccb93202900","235bdfd6aee042a587647925981a1fd2","e081d46be72b4d638cf3cc7be14ac651","0154f8d5e1ef4584b2def2e456179951","d2d1b1c19e8e4b18af10bffe9c3a60f5","40b5e64a2d6743cbbb6b3dca004836b9","e9a816019ddc4c34a94059381da2b7b0","e0a987f764274098ace0ce3900e37c5e","e5b7397c80a44e66863276ed6e443dd9","594b168dc8f24064afca0a0353195c35","b641fc8e31514c2e9c9453ba3669575c","c575ee9e9a4846669a70be243ec8a228","48ac88309d404e1cb83e660a8b344ac6","0e48acebc7b04eb2a1b55a0d852ef7b3","edcf26a3835b4db6b3fbfd160b61aa2e","3eaee86b67704d3da78285c7881cff01","167ad19c7da2466db0528865578fda87","5c384622a46e4252a123378d29bc7640","a60f375b3eee415388d742c619966776","39f30b2919dc4ac0b6e3c8d54999a628"]},"id":"cCiAuRqrOkvV","executionInfo":{"status":"ok","timestamp":1676655660188,"user_tz":-60,"elapsed":2500,"user":{"displayName":"Mike3 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Studia4","userId":"02075505067789671500"}}},"execution_count":2,"outputs":[]},{"cell_type":"code","source":["dataset = load_dataset(\"sms_spam\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":232,"referenced_widgets":["c9c5041c2d734e449a3f480d27c6930f","93c307f83f8345569c6d5eb992facb8f","0b1c4594b3394af9bf6bdb1f5c21efde","8acffba7f8d841bca237676946643b85","6cd1d313107b458fa45e5872c9ce66f0","d6a531cb1e5442398ad46a7555af15ff","a682581443054d6ab11c4445b59ebaf8","7eca2a8a527c417794f7902354dff4fa","44c053a9f38d42ff8b1a37e7892a87d2","086a54cdf54a4631b1d8aa8c835f74a5","5334c04227694b0dbfca313b8b3c1b73","ed0315a7a3734a9096b646d6087113d5","63e57336638c43269033927fea082b5e","5c74805203c149a28b39b8a6673b3226","bb1356f3522c48779c6ef331fd0cb258","a9764585f1304fac85a4647205a07248","fe9a18c0f645464687a47a598c29856c","4cac33b53d5c47bf9e2559a19d786ba7","c9c783ba8f2c47d2a63f6008c6c7ebf6","97a86f253eed42059461528ac274ff5f","db85eaf5afc64c258db557856084caa7","08e5985a87ce49469632b644a0be1e4a","6705f6b0f9754c0ebc4cb0dc1a37ac94","3843c8652968472fb3bfb4ce97b7c45b","a248a43d17ab4633b88a1621942d4757","37c5cf19bd0646aa9ce53218326424f7","f55517fb17e0463e8c8b01f358534914","fddbdaedf5654097942c38002a299e3f","10ed5de382e244d8a56c47c76d90748f","e559dfd597ad454b8d8c2ee005901a35","f48f84cd18ab43b39bf2ca69599ad8c7","1c40bc5715ea448697ac53773d86237a","fc419546e84144349e9c533a8176d4e4","9b3a088c8a7a49b496c6b2e5d2d474dd","a803fe9e84344cdfac171dc6343121e5","12f4b7d3045340d99001a098e0600c64","a92495c6264a4256b9d1c4dd207d9041","c0f1d46ebbdc4bfe8d31985f71875962","e2a740892ddf477ba0b404b1e7e2cd88","b4eb68bbd452409f8faf6f77093f84da","9f8452af363d4a0daf38a7edf7d0a540","ec09103848594bc38e167a16a407cc04","5b8f226314054f1f893d922347c31055","9e4f882e90234dbca0702be76099be77","ef20074dae184d8cb1ead4ce74c2df0b","b4721cb7a4f1486384078edb29a219f5","b8194c781462455ab6b975689d934be3","4cafb17414cf4413b70b04381b3783ca","70819e011c9a4e759758ec8b1e6116f4","bfd5db4a4c9f4a0a9165e3b3a34f6e32","50586a5a007f438d94dad66ad03ca1ba","7295282fb11d4c95aac18ce9047f4da2","1354813182d7427b87f56a8aafc06c34","eaadb5abf84d455994f5378aac2a293c","dc7f94f8535a4734a3cd9fc9cef5fc2e","e5985e951e854e4fbdc8983b57830209","14ecc67173cd4eb2a20d51f817a01a29","bd66d5b4736647a89ec35d65d55f7556","eece11a05e874005ae2532f8139490d0","7ba99dc8284d436f83a341d914e3b226","91b51e4d897843648bc69a4dc684f4bf","def43747b4624cd693383277e8520e1a","438240aff4aa4c30ab5dc8a1159f32be","12772e6a0d1d40e9934ba6c663896c17","68911a228fc343bbb84fd7f6b53f5fb4","9de6fd732fbb4ff5b917f8250710d342"]},"id":"cCiAuRqrOkvV","executionInfo":{"status":"ok","timestamp":1676655766016,"user_tz":-60,"elapsed":11725,"user":{"displayName":"Mike4 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