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M.F.M. (CST17020)","userId":"10975805954453288227"}},"outputId":"6542d156-6ebb-4c61-f19f-c34cfbd661ab"},"outputs":[{"output_type":"stream","name":"stdout","text":["Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n","Collecting transformers\n","  Using cached transformers-4.30.2-py3-none-any.whl (7.2 MB)\n","Collecting datasets\n","  Using cached datasets-2.13.1-py3-none-any.whl (486 kB)\n","Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from transformers) (3.12.2)\n","Collecting huggingface-hub<1.0,>=0.14.1 (from transformers)\n","  Downloading huggingface_hub-0.15.1-py3-none-any.whl (236 kB)\n","\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m236.8/236.8 kB\u001b[0m \u001b[31m8.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[?25hRequirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from transformers) (1.22.4)\n","Requirement 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/usr/local/lib/python3.10/dist-packages (from requests->transformers) (3.4)\n","Requirement already satisfied: python-dateutil>=2.8.1 in /usr/local/lib/python3.10/dist-packages (from pandas->datasets) (2.8.2)\n","Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas->datasets) (2022.7.1)\n","Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.8.1->pandas->datasets) (1.16.0)\n","Installing collected packages: tokenizers, safetensors, xxhash, multidict, frozenlist, dill, async-timeout, yarl, multiprocess, huggingface-hub, aiosignal, transformers, aiohttp, datasets\n","Successfully installed aiohttp-3.8.4 aiosignal-1.3.1 async-timeout-4.0.2 datasets-2.13.1 dill-0.3.6 frozenlist-1.3.3 huggingface-hub-0.15.1 multidict-6.0.4 multiprocess-0.70.14 safetensors-0.3.1 tokenizers-0.13.3 transformers-4.30.2 xxhash-3.2.0 yarl-1.9.2\n"]}],"source":["!pip install transformers datasets"]},{"cell_type":"code","source":["import tensorflow as tf"],"metadata":{"id":"lzSTCaM73g5P","executionInfo":{"status":"ok","timestamp":1687768949763,"user_tz":-330,"elapsed":8944,"user":{"displayName":"FAZNI M.F.M. (CST17020)","userId":"10975805954453288227"}}},"execution_count":5,"outputs":[]},{"cell_type":"code","source":["tf.config.set_visible_devices(tf.config.list_physical_devices('GPU'), 'GPU')"],"metadata":{"id":"1Cc2mZyN3eLw","executionInfo":{"status":"ok","timestamp":1687768952243,"user_tz":-330,"elapsed":419,"user":{"displayName":"FAZNI M.F.M. (CST17020)","userId":"10975805954453288227"}}},"execution_count":6,"outputs":[]},{"cell_type":"code","source":["print(\"Num GPUs Available: \", len(tf.config.list_physical_devices('GPU')))"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"IMhhAv3K3uEv","executionInfo":{"status":"ok","timestamp":1687768986587,"user_tz":-330,"elapsed":423,"user":{"displayName":"FAZNI M.F.M. (CST17020)","userId":"10975805954453288227"}},"outputId":"57675adb-3ea9-4c59-a523-222821eaf52f"},"execution_count":7,"outputs":[{"output_type":"stream","name":"stdout","text":["Num GPUs Available:  1\n"]}]},{"cell_type":"code","source":["from datasets import load_dataset\n","\n","dataset = load_dataset(\"fazni/roles-based-on-skills\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":232,"referenced_widgets":["78ae96abe9364c0d8d151a26d20d6cfe","c229ab2a0a0b4fc8813d9f84376ab4c8","26b79bde26df462d91f127390e059af3","2706df5f57ba4f3ba027ddbf9849e5c9","7c80d2eaa207407d8a9f293506ab89c5","aa16c6892a394f6a8ac699f4b75e3dc5","87a2b2edc97d454ebb1a0c179dd84570","c25ee40c3c0647259e56c6a09c26855d","ee0ae3ab0113464e934d1c39c2265d6d","a76fdbfb31714ec38ac25a45c74b55ee","f2eb261b7d9d44bd9acdd94dfc81f1ff","14c373b924e140a2ba9df1febed8a101","fcfcd3da6520412e9e0b8776095a6b6c","753fa3e044eb4678857ab6333107af4f","9b7a78e0a32a41b68407812f6ab50d44","caf1459c2d0141e4896069b5906409d8","878aeb135a4544a1bee46a25ce813979","ecc4a284214a4600a0257da9c22c91f4","0f3c7a22cdea4b92b1059386f9c90b20","8543c6b2efb441abb9fb03f0f542eafa","fac7451fdbbd460aa12b62240c4eaf6d","444aa3bed50f4478925937045bb963dc","cc59c0ea5eee4207bba2bc1b11fc163a","5743079a49614c029cdac87f2759d82f","9ba2bd0b3ca445f59db1f667057062f9","6afe82bc91de45d39605556dd31987b7","3d797790ff4f4f57a32536d505b9f9a0","538e6ad2ac9e4352b452c907428fa84a","1b193b2083fb45d3bed587db0335a4f9","2e5c0d2f59d3455e9c0909fc1a6b99ea","191743be756f46e2bc468e7efe1e9019","342d379a3da94b2fabeee6b7b402345c","467483fe384545a4acdbed271424bbc5","8c0085b125f24c88b11945aae08d3e53","14f4f9b1aab24d4089ccbd494f2168cf","9da1d68823ad40ac866f05e920e599e8","3199d4c35a8a43bda6935b88ab946111","e2340ed985fb4bce8eab35e186064888","b831270ce4b041b8aada006bfca420ce","11edc3f71fb44d60903fcf71f4141d49","fdf3d525d42047daa9d4ca540972ff52","b974e838b13d42f19b3259b8deb51093","c14b2f2d01bd46e8887b20cdba868ead","72681a1b10ae4d64b8a765e1b0bd5f2b","f172a058ed1b4153b4792c46a32be659","96aaf9081c9a49fcae1d7edd333752fa","766cf4232bea4bbeb19b384b41a9d109","b447ec8369cf43e38392283b33096fae","f3a28a28d3554a858814358e4bf8d6b3","3a502cf05de842eca7047459687f21b6","ec11cdfa550f4fdcb70742d756ec2ce0","b3a25cf7d41641c595ad27a6ebb11c7d","6aaf05ac9cdd4d0ab1d98372941c7f36","7f2ab912ff304bb2afe949f34294f31f","e9469a4588304a77af7756c11b1daedf","88ead4633ad941f2a726012726cd4198","d718300b64ec4c26addf9ffe2553eda5","acc515053f6347ccb7d607ae1fcdfe69","86b8f65d4a744f81a5f9b25e42a4484a","9cc94ca66d9d4ee79c7493aa68b5c7ab","51e69de28fc543729740cefca32d3c46","74e17d902d774a85a10771a9807c1f68","abe96a0640a14e54a98fc3323d02d344","9e2047f55a864114b23ea32933735e33","2f464066768840bab4c13ea9a828d839","f8043d9967c747e4a7f93f51677303d9"]},"id":"HIWPrRBH9ziT","executionInfo":{"status":"ok","timestamp":1687769043721,"user_tz":-330,"elapsed":2619,"user":{"displayName":"FAZNI M.F.M. (CST17020)","userId":"10975805954453288227"}},"outputId":"5d3eae85-9d73-49e7-b6fa-0aebed2a3bc2"},"execution_count":8,"outputs":[{"output_type":"display_data","data":{"text/plain":["Downloading readme:   0%|          | 0.00/21.0 [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"78ae96abe9364c0d8d151a26d20d6cfe"}},"metadata":{}},{"output_type":"stream","name":"stdout","text":["Downloading and preparing dataset csv/fazni--roles-based-on-skills to /root/.cache/huggingface/datasets/fazni___csv/fazni--roles-based-on-skills-85f4f4efc5a3cc58/0.0.0/eea64c71ca8b46dd3f537ed218fc9bf495d5707789152eb2764f5c78fa66d59d...\n"]},{"output_type":"display_data","data":{"text/plain":["Downloading data files:   0%|          | 0/1 [00:00<?, ?it/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"14c373b924e140a2ba9df1febed8a101"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Downloading data:   0%|          | 0.00/2.77M [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"cc59c0ea5eee4207bba2bc1b11fc163a"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Extracting data files:   0%|          | 0/1 [00:00<?, ?it/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"8c0085b125f24c88b11945aae08d3e53"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Generating train split: 0 examples [00:00, ? examples/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"f172a058ed1b4153b4792c46a32be659"}},"metadata":{}},{"output_type":"stream","name":"stdout","text":["Dataset csv downloaded and prepared to /root/.cache/huggingface/datasets/fazni___csv/fazni--roles-based-on-skills-85f4f4efc5a3cc58/0.0.0/eea64c71ca8b46dd3f537ed218fc9bf495d5707789152eb2764f5c78fa66d59d. Subsequent calls will reuse this data.\n"]},{"output_type":"display_data","data":{"text/plain":["  0%|          | 0/1 [00:00<?, ?it/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"88ead4633ad941f2a726012726cd4198"}},"metadata":{}}]},{"cell_type":"code","source":["data = dataset['train']"],"metadata":{"id":"1zgBvxDD-Bfi","executionInfo":{"status":"ok","timestamp":1687769048103,"user_tz":-330,"elapsed":421,"user":{"displayName":"FAZNI M.F.M. (CST17020)","userId":"10975805954453288227"}}},"execution_count":9,"outputs":[]},{"cell_type":"code","source":["y = data['Target']\n","X = data['ALL']"],"metadata":{"id":"lY3W5eKA-eCT","executionInfo":{"status":"ok","timestamp":1687769049667,"user_tz":-330,"elapsed":3,"user":{"displayName":"FAZNI M.F.M. (CST17020)","userId":"10975805954453288227"}}},"execution_count":10,"outputs":[]},{"cell_type":"code","source":["from sklearn.preprocessing import LabelEncoder\n","le = LabelEncoder()\n","label = le.fit_transform(y)\n","# Data_tokenized.drop(\"Target\", axis=1, inplace=True)\n","label"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"AjRRMt1oJZgZ","executionInfo":{"status":"ok","timestamp":1687769055761,"user_tz":-330,"elapsed":1126,"user":{"displayName":"FAZNI M.F.M. (CST17020)","userId":"10975805954453288227"}},"outputId":"f69e4f87-217a-4823-8718-0f3df0c2c5f8"},"execution_count":11,"outputs":[{"output_type":"execute_result","data":{"text/plain":["array([9, 9, 9, ..., 3, 3, 3])"]},"metadata":{},"execution_count":11}]},{"cell_type":"code","source":["from sklearn.model_selection import train_test_split\n","X_train, X_test, y_train, y_test = train_test_split(X, label, test_size=0.2, random_state=42)"],"metadata":{"id":"hqUt5vLBAZbQ","executionInfo":{"status":"ok","timestamp":1687769057900,"user_tz":-330,"elapsed":430,"user":{"displayName":"FAZNI M.F.M. (CST17020)","userId":"10975805954453288227"}}},"execution_count":12,"outputs":[]},{"cell_type":"code","source":["# Importing pretrained model and it's tokenizer from HuggingFace\n","from transformers import DistilBertTokenizer, DistilBertForSequenceClassification\n","\n","tokenizer = DistilBertTokenizer.from_pretrained(\"distilbert-base-uncased\")"],"metadata":{"id":"55qsMtRVA7QJ","executionInfo":{"status":"ok","timestamp":1687769068602,"user_tz":-330,"elapsed":6789,"user":{"displayName":"FAZNI M.F.M. (CST17020)","userId":"10975805954453288227"}},"colab":{"base_uri":"https://localhost:8080/","height":113,"referenced_widgets":["4007bd93900c4150ad3ec31051030dc3","c090cd46caae4374b1627d705d191d23","b1ad7d4a8e3e4f19a7d6ae726fd405b0","4a43f5546b2040979c48236702423502","4c5b90ff480e451d92fbda829ac8c02c","98212dca92bc42ad99311f2792b2bf60","257e68d3a459407e918c0ae97d22f88d","6c211fd7f4a14624bb2d205c37c39e42","a7063e9c18ab486d94eb187c6d11900c","42a9cd2efaf74b4fa9cda9e1a5bc8c8c","40f8fb04e3464fa5ad44278ee907a30d","a05ca028f4af4b629b6527b36b249d0a","ee9af57ee0864baba5ac61d814626e7d","8c05e4d04c9743f6aa12107d67c2ad3a","3ae691c7763c4cd68ee72b5cc9d66b63","b3c7a35024084b61b48ff7562ba69b23","cc335afbb4104c589a94080137c2f6f9","9188bf5a89884b108a6e4f3540c001c1","482eda0d37a34144a6df9dd62b22bfc4","3d71304227894fe0bcea75f09a7611a9","312d7357822048ccaf486b58d331bb2d","abb256aca566443095ab69a178388e50","abd6107e94a64f83bb9c9d4882b3c5aa","dc2dd14104e84fa1bfb9a603899613a0","718fd9d17e6740aa978eb10883d0c992","ddff90b5a24e419bb34be913f8c04a26","54317f0b20dd40189e9239ded1fc812b","1f5535b26c214ce8b3823da2687260f5","aa28ceda28fd4da7822d36e0d4d23602","866a77920bd247bc89d570f0444679e0","bf64b940e9234a049630de3d76027451","f26a7224f0614596b657fbae39b6d2a2","76cea61098ff402da26f691ecab6353e"]},"outputId":"64c1f81f-114c-447d-afb5-a236fde6d92b"},"execution_count":13,"outputs":[{"output_type":"display_data","data":{"text/plain":["Downloading (…)solve/main/vocab.txt:   0%|          | 0.00/232k [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"4007bd93900c4150ad3ec31051030dc3"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Downloading (…)okenizer_config.json:   0%|          | 0.00/28.0 [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"a05ca028f4af4b629b6527b36b249d0a"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Downloading (…)lve/main/config.json:   0%|          | 0.00/483 [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"abd6107e94a64f83bb9c9d4882b3c5aa"}},"metadata":{}}]},{"cell_type":"code","source":["train_encoding = tokenizer(X_train,truncation=True,padding=True)\n","test_encoding = tokenizer(X_test,truncation=True,padding=True)"],"metadata":{"id":"6A4gnbwSCLEQ","executionInfo":{"status":"ok","timestamp":1687769082300,"user_tz":-330,"elapsed":9793,"user":{"displayName":"FAZNI M.F.M. (CST17020)","userId":"10975805954453288227"}}},"execution_count":14,"outputs":[]},{"cell_type":"code","source":["train_encoding"],"metadata":{"id":"_rIuXqPzC2Tk"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["## Converting Encodings into data Objects"],"metadata":{"id":"iHu8D66tDTFc"}},{"cell_type":"code","source":["import tensorflow as tf\n","\n","train_dataset = tf.data.Dataset.from_tensor_slices((\n","    dict(train_encoding),\n","    y_train\n","))\n","\n","test_dataset = tf.data.Dataset.from_tensor_slices((\n","    dict(test_encoding),\n","    y_test\n","))"],"metadata":{"id":"prD6rO5hDZSh","executionInfo":{"status":"ok","timestamp":1687769104759,"user_tz":-330,"elapsed":6344,"user":{"displayName":"FAZNI M.F.M. (CST17020)","userId":"10975805954453288227"}}},"execution_count":16,"outputs":[]},{"cell_type":"code","source":["train_dataset"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"gMu6IaZsEdrb","executionInfo":{"status":"ok","timestamp":1687769108753,"user_tz":-330,"elapsed":926,"user":{"displayName":"FAZNI M.F.M. (CST17020)","userId":"10975805954453288227"}},"outputId":"2159c837-a8a4-497d-e7eb-2f7ecee6e87e"},"execution_count":17,"outputs":[{"output_type":"execute_result","data":{"text/plain":["<_TensorSliceDataset element_spec=({'input_ids': TensorSpec(shape=(357,), dtype=tf.int32, name=None), 'attention_mask': TensorSpec(shape=(357,), dtype=tf.int32, name=None)}, TensorSpec(shape=(), dtype=tf.int64, name=None))>"]},"metadata":{},"execution_count":17}]},{"cell_type":"code","source":["num_classes=10"],"metadata":{"id":"fPfkrDD7LGvT","executionInfo":{"status":"ok","timestamp":1687769112457,"user_tz":-330,"elapsed":2,"user":{"displayName":"FAZNI M.F.M. (CST17020)","userId":"10975805954453288227"}}},"execution_count":18,"outputs":[]},{"cell_type":"code","source":["from transformers import DistilBertConfig, TFDistilBertForSequenceClassification, TFTrainer, TFTrainingArguments\n","\n","# Set up the model configuration\n","model_config = DistilBertConfig.from_pretrained(\"distilbert-base-uncased\", num_labels=num_classes)\n","\n","training_arguments = TFTrainingArguments(\n","    output_dir='/content/drive/MyDrive/HuggingFace/RoleBasedPrediction/results',\n","    num_train_epochs=2,\n","    per_device_train_batch_size=8,\n","    per_device_eval_batch_size=16,\n","    warmup_steps=500,\n","    weight_decay=0.01,\n","    logging_dir='/content/drive/MyDrive/HuggingFace/RoleBasedPrediction/logs',\n","    logging_steps=10,\n","    eval_steps=500,\n",")"],"metadata":{"id":"31eKPv7qE7cR","executionInfo":{"status":"ok","timestamp":1687769115577,"user_tz":-330,"elapsed":3,"user":{"displayName":"FAZNI M.F.M. (CST17020)","userId":"10975805954453288227"}}},"execution_count":19,"outputs":[]},{"cell_type":"code","source":["with training_arguments.strategy.scope():\n","  model = TFDistilBertForSequenceClassification.from_pretrained(\"distilbert-base-uncased\", config=model_config)\n","\n","trainer = TFTrainer(\n","    model=model,\n","    args=training_arguments,\n","    train_dataset=train_dataset,\n","    eval_dataset=test_dataset\n",")\n","\n","trainer.train()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":191,"referenced_widgets":["6360d0572cfc4f2ba2ff52185ea913b0","d7f515efd7fa4326bf7ae57d38a5b5fc","1735c943e3f94411a4ef063c58794470","823a17934388407580f21cdaa8c3d8f3","84d2f7f387594232959235cc154668bc","b8f181a714e641a499e6829932b127c3","8b0cde4186564e29b6a576bfd90a583f","ec35328c713547dca1986d76fc20a119","70acd2acd0544cc5992ba28d5fbe848a","65f5763edd264b589282600e4945888d","7bed46d239574dec87c6fa91af549b9c"]},"id":"AhhdzqwoGryp","outputId":"ced409d3-66f1-4df2-edfe-553d14768b17","executionInfo":{"status":"ok","timestamp":1687769277688,"user_tz":-330,"elapsed":157515,"user":{"displayName":"FAZNI M.F.M. (CST17020)","userId":"10975805954453288227"}}},"execution_count":20,"outputs":[{"output_type":"display_data","data":{"text/plain":["Downloading model.safetensors:   0%|          | 0.00/268M [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"6360d0572cfc4f2ba2ff52185ea913b0"}},"metadata":{}},{"output_type":"stream","name":"stderr","text":["Some weights of the PyTorch model were not used when initializing the TF 2.0 model TFDistilBertForSequenceClassification: ['vocab_transform.weight', 'vocab_projector.bias', 'vocab_layer_norm.bias', 'vocab_layer_norm.weight', 'vocab_transform.bias']\n","- This IS expected if you are initializing TFDistilBertForSequenceClassification from a PyTorch model trained on another task or with another architecture (e.g. initializing a TFBertForSequenceClassification model from a BertForPreTraining model).\n","- This IS NOT expected if you are initializing TFDistilBertForSequenceClassification from a PyTorch model that you expect to be exactly identical (e.g. initializing a TFBertForSequenceClassification model from a BertForSequenceClassification model).\n","Some weights or buffers of the TF 2.0 model TFDistilBertForSequenceClassification were not initialized from the PyTorch model and are newly initialized: ['pre_classifier.weight', 'pre_classifier.bias', 'classifier.weight', 'classifier.bias']\n","You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n","/usr/local/lib/python3.10/dist-packages/transformers/trainer_tf.py:118: FutureWarning: The class `TFTrainer` is deprecated and will be removed in version 5 of Transformers. We recommend using native Keras instead, by calling methods like `fit()` and `predict()` directly on the model object. Detailed examples of the Keras style can be found in our examples at https://github.com/huggingface/transformers/tree/main/examples/tensorflow\n","  warnings.warn(\n"]}]},{"cell_type":"code","source":["trainer.evaluate(test_dataset)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"iMZ4rul7vfQx","executionInfo":{"status":"ok","timestamp":1687769334835,"user_tz":-330,"elapsed":21578,"user":{"displayName":"FAZNI M.F.M. (CST17020)","userId":"10975805954453288227"}},"outputId":"44671d73-3eef-4f02-d29e-102f6f6eec7e"},"execution_count":22,"outputs":[{"output_type":"execute_result","data":{"text/plain":["{'eval_loss': 0.10571072841512746}"]},"metadata":{},"execution_count":22}]},{"cell_type":"code","source":["trainer.predict(test_dataset)"],"metadata":{"id":"5B87RUjJvmoA"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["output=trainer.predict(test_dataset)[1]"],"metadata":{"id":"g1InwCZ-vtVB","executionInfo":{"status":"ok","timestamp":1687769433424,"user_tz":-330,"elapsed":21617,"user":{"displayName":"FAZNI M.F.M. (CST17020)","userId":"10975805954453288227"}}},"execution_count":24,"outputs":[]},{"cell_type":"code","source":["from sklearn.metrics import confusion_matrix\n","\n","cm = confusion_matrix(y_test,output)\n","cm"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"_X3uVsYJ5X7o","executionInfo":{"status":"ok","timestamp":1687769498660,"user_tz":-330,"elapsed":4,"user":{"displayName":"FAZNI M.F.M. (CST17020)","userId":"10975805954453288227"}},"outputId":"99b19a78-f307-4a30-9b8e-a76e3afbcd4e"},"execution_count":25,"outputs":[{"output_type":"execute_result","data":{"text/plain":["array([[103,   0,   0,   0,   0,   0,   0,   0,   0,   0],\n","       [  0,  77,   0,   0,   0,   0,   0,   0,   0,   0],\n","       [  0,   0,  52,   0,   0,   0,   0,   0,   0,   0],\n","       [  0,   0,   0,  86,   0,   0,   0,   0,   0,   0],\n","       [  0,   0,   0,   0,  90,   0,   0,   0,   0,   0],\n","       [  0,   0,   0,   0,   0,  87,   0,   0,   0,   0],\n","       [  0,   0,   0,   0,   0,   0,  76,   0,   0,   0],\n","       [  0,   0,   0,   0,   0,   0,   0, 100,   0,   0],\n","       [  0,   0,   0,   0,   0,   0,   0,   0,  99,   0],\n","       [  0,   0,   0,   0,   0,   0,   0,   0,   0, 146]])"]},"metadata":{},"execution_count":25}]},{"cell_type":"code","source":["trainer.save_model('/content/drive/MyDrive/HuggingFace/model')"],"metadata":{"id":"b_i1HgIXwL1g","executionInfo":{"status":"ok","timestamp":1687769351494,"user_tz":-330,"elapsed":1165,"user":{"displayName":"FAZNI M.F.M. (CST17020)","userId":"10975805954453288227"}}},"execution_count":23,"outputs":[]},{"cell_type":"code","source":["\"Machine Learning,Deep Learning, Tensoflow, Python, Scikit Learn, Keras, Pandas and Numopy Libraries\","],"metadata":{"id":"3a1W-cozBuyT"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["input_text = [\"MySQL , html, javascript, Java, OOP, PHP,React, nodejs, Angular, npm, bootstrap, css, Springboot, Postman\"]\n","inputs = tokenizer(input_text, truncation=True, padding=True, return_tensors=\"tf\")\n","dummy_labels = [0] * len(input_text)\n","\n","input_dataset = tf.data.Dataset.from_tensor_slices((\n","    dict(inputs),\n","    dummy_labels\n","))\n","result = trainer.predict(input_dataset)\n"],"metadata":{"id":"3xaZZjqtBu1a","executionInfo":{"status":"ok","timestamp":1687772618452,"user_tz":-330,"elapsed":3091,"user":{"displayName":"FAZNI M.F.M. (CST17020)","userId":"10975805954453288227"}}},"execution_count":75,"outputs":[]},{"cell_type":"code","source":["outcome_labels = ['Business Analyst', 'Cyber Security','Data Engineer','Data Science','DevOps','Machine Learning Engineer','Mobile App Developer','Network Engineer','Quality Assurance','Software Engineer']"],"metadata":{"id":"apoW-bCG-7Yf","executionInfo":{"status":"ok","timestamp":1687770955764,"user_tz":-330,"elapsed":3,"user":{"displayName":"FAZNI M.F.M. (CST17020)","userId":"10975805954453288227"}}},"execution_count":51,"outputs":[]},{"cell_type":"code","source":["result"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"X_4ohrC9-sj3","executionInfo":{"status":"ok","timestamp":1687772630341,"user_tz":-330,"elapsed":428,"user":{"displayName":"FAZNI M.F.M. (CST17020)","userId":"10975805954453288227"}},"outputId":"ea929ffc-ad1c-4e9b-b5cf-dc0e0d97aa10"},"execution_count":77,"outputs":[{"output_type":"execute_result","data":{"text/plain":["PredictionOutput(predictions=array([[-2.2625058 , -0.8229124 , -0.4219835 ,  0.89383066, -1.8038672 ,\n","         3.6242735 , -0.49239844, -2.4593642 , -2.3697128 ,  1.5308456 ]],\n","      dtype=float32), label_ids=array([0], dtype=int32), metrics={'eval_loss': 6.106631755828857})"]},"metadata":{},"execution_count":77}]},{"cell_type":"code","source":["result[0].argmax()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"jHDcdaVX8rkv","executionInfo":{"status":"ok","timestamp":1687772622581,"user_tz":-330,"elapsed":469,"user":{"displayName":"FAZNI M.F.M. (CST17020)","userId":"10975805954453288227"}},"outputId":"be05fab9-ab00-4717-b286-c0e62705e100"},"execution_count":76,"outputs":[{"output_type":"execute_result","data":{"text/plain":["5"]},"metadata":{},"execution_count":76}]},{"cell_type":"code","source":["predicted_class_id = logits.argmax().item()\n","model.config.id2label[predicted_class_id]"],"metadata":{"id":"g9wG0SjM7Bi_"},"execution_count":null,"outputs":[]}]}