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(from markdown-it-py>=2.2.0->rich>=10.11.0->typer<1.0,>=0.12->gradio) (0.1.2)\n"]}],"source":["!pip install transformers datasets accelerate gradio\n","\n"]},{"cell_type":"code","source":["!git clone https://huggingface.co/datasets/ArtificialZeng/leetcode_code_generation"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"collapsed":true,"id":"GgUgYtiYMDxG","executionInfo":{"status":"ok","timestamp":1747303203069,"user_tz":-330,"elapsed":2918,"user":{"displayName":"Sunny Thakur","userId":"00986316513702009163"}},"outputId":"b56dd36d-d6e4-4c6c-f94d-7bc0bc84c512"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Cloning into 'leetcode_code_generation'...\n","remote: Enumerating objects: 9, done.\u001b[K\n","remote: Counting objects: 100% (5/5), done.\u001b[K\n","remote: Compressing objects: 100% (5/5), done.\u001b[K\n","remote: Total 9 (delta 0), reused 0 (delta 0), pack-reused 4 (from 1)\u001b[K\n","Unpacking objects: 100% (9/9), 2.91 KiB | 1.45 MiB/s, done.\n","Filtering content: 100% (2/2), 44.95 MiB | 21.19 MiB/s, done.\n"]}]},{"cell_type":"code","source":["!ls -R\n","\n","\n","\n","\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"collapsed":true,"id":"2GLMeZSiNMdk","executionInfo":{"status":"ok","timestamp":1747364993257,"user_tz":-330,"elapsed":156,"user":{"displayName":"Sunny Thakur","userId":"00986316513702009163"}},"outputId":"f47ef4b6-f0e6-4471-ff8b-39280de9876e"},"execution_count":1,"outputs":[{"output_type":"stream","name":"stdout","text":[".:\n","sample_data\n","\n","./sample_data:\n","anscombe.json\t\t mnist_test.csv\n","california_housing_test.csv mnist_train_small.csv\n","california_housing_train.csv README.md\n"]}]},{"cell_type":"markdown","source":[],"metadata":{"id":"UK3ZNkdKVH_U"}},{"cell_type":"code","source":["import json\n","from datasets import Dataset\n","import pandas as pd\n","from transformers import AutoTokenizer, AutoModelForCausalLM, TrainingArguments, Trainer\n","\n","# Step 1: Load and preprocess dataset\n","data_path = \"./leetcode_code_generation/leetcode-train.jsonl\"\n","data = []\n","with open(data_path, 'r', encoding='utf-8') as f:\n"," for line in f:\n"," data.append(json.loads(line))\n","\n","dataset = Dataset.from_list(data)\n","dataset = dataset.train_test_split(test_size=0.1)\n","\n","def safe_format_conversation(example):\n"," formatted_text = \"\"\n"," conversations = example.get('conversations', []) or \\\n"," example.get('conversation', []) or \\\n"," example.get('messages', [])\n"," for turn in conversations:\n"," try:\n"," role = turn.get('from', turn.get('role', 'unknown'))\n"," role = \"User\" if role.lower() in ['human', 'user'] else \"Assistant\"\n"," content = turn.get('value', turn.get('content', ''))\n"," formatted_text += f\"{role}: {content}\\n\"\n"," except Exception as e:\n"," print(f\"Skipping malformed turn: {turn}. Error: {str(e)}\")\n"," continue\n"," return {\"text\": formatted_text.strip() or \"Empty conversation\"}\n","\n","formatted_dataset = dataset.map(safe_format_conversation)\n","\n","# Step 2: Load tokenizer and model\n","model_name = \"gpt2\"\n","tokenizer = AutoTokenizer.from_pretrained(model_name)\n","model = AutoModelForCausalLM.from_pretrained(model_name)\n","\n","# Set pad_token\n","tokenizer.pad_token = tokenizer.eos_token\n","tokenizer.pad_token_id = tokenizer.eos_token_id\n","model.config.pad_token_id = tokenizer.pad_token_id\n","\n","# Step 3: Tokenize dataset\n","def tokenize(example):\n"," return tokenizer(\n"," example['text'],\n"," truncation=True,\n"," padding=\"max_length\",\n"," max_length=512,\n"," return_tensors=None,\n"," )\n","\n","tokenized_dataset = formatted_dataset.map(tokenize, batched=True, remove_columns=['text'])\n","\n","# Step 4: Add labels\n","def add_labels(example):\n"," example['labels'] = example['input_ids'].copy()\n"," return example\n","\n","tokenized_dataset_for_training = tokenized_dataset['train'].map(add_labels)\n","tokenized_dataset_for_eval = tokenized_dataset['test'].map(add_labels)\n","\n","columns_to_keep = ['input_ids', 'attention_mask', 'labels']\n","tokenized_dataset_for_training = tokenized_dataset_for_training.remove_columns(\n"," [col for col in tokenized_dataset_for_training.column_names if col not in columns_to_keep]\n",")\n","tokenized_dataset_for_eval = tokenized_dataset_for_eval.remove_columns(\n"," [col for col in tokenized_dataset_for_eval.column_names if col not in columns_to_keep]\n",")\n","\n","# Step 5: Define training arguments\n","training_args = TrainingArguments(\n"," output_dir=\"./results\",\n"," per_device_train_batch_size=2,\n"," num_train_epochs=1,\n"," logging_steps=10,\n"," save_steps=100,\n"," save_total_limit=2,\n"," remove_unused_columns=False,\n"," push_to_hub=False,\n"," fp16=True,\n"," gradient_accumulation_steps=4,\n"," report_to=\"none\",\n"," eval_strategy=\"steps\",\n"," eval_steps=100,\n"," load_best_model_at_end=True,\n"," metric_for_best_model=\"loss\",\n",")\n","\n","# Step 6: Initialize and train\n","trainer = Trainer(\n"," model=model,\n"," args=training_args,\n"," train_dataset=tokenized_dataset_for_training,\n"," eval_dataset=tokenized_dataset_for_eval,\n"," tokenizer=tokenizer,\n",")\n","\n","trainer.train()\n","\n","# Step 7: Save model\n","model.save_pretrained(\"./my_redteam_gpt\")\n","tokenizer.save_pretrained(\"./my_redteam_gpt\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":508,"referenced_widgets":["41186ca82cb94dd79877b044148271ad","01f0a87d0f8541c9b2771ad80c5b4d6c","a91aa677251c4ebd8a285d9cecf5fd54","db09e55bbce644c8b7f62f4ca9c4a875","9c1cdb3cb4734049a33420598ad7bbe0","2469c852dec04087b09b7cc693a4d3cd","61d6e39151354c3998309113933c7201","dcc66f0eb8c04a19a02dd638ed620516","1383dc30fae847c293452e6e46cb7088","488f341649e741578693affb2d8d4ff4","82e9e0aa27354ba1a68ea5fcb80f1476","bf30862ea9cf415e85c1a6fd538d81b0","79fd872746f8428cae9ea9538614e93c","da398af5dd54486c81ac157b3e80c04d","eed792327b134b3ca56f23aab59a1948","0089c72fae9548a49c28d1f1c00615dc","50ddcdc3adb04695a245744458eb8e78","1cb5cf0ef70e41e3a8bb448b87fce247","4e9f4490f83f431e91c2315e8e9db7e5","29916b9b468f45c8afd487aa5c97c42b","a2a87213f43e4dba92fcf60e4a0e7740","1d0c8ab05a3d46889c6b98f27aae402b","86f3ca627a0c452490737f508cf943ca","30a4014237a649dd8e6f2ed6d4bd4537","90f12a1e67774f5cb464f15384e748b6","480d5a24c8b94feeb2fd95b1912e2db3","c39565e10b634697adaf9f9e4f02adac","a8d5521b33394ba1a135723f841c11b0","e7c45c164b314ed0817d645af10cf84b","1c7ad605e5c0458ca801faa13da4f29e","1b38f56033144c9aa3fc7a62098d759b","9c2189973a2e4fb18f69a9426734875d","afb5835ea62a4abba14513a6157fc137","b55c856aa2e04db3bdf9a3e50f28c66d","d4d6a01f0f1b4de1bb92c13c2a1c9373","e85c6f582f4a481bb85bd07fbdadbb86","a050beabb39f4344b740909cc40ea865","57de593eab9c46d88eabbe630b82c003","59638da11b0946bf96609e4b196a64ab","85d6665b9cfb4199aca0076eb87a918d","fa256ac5d420422c95a777bda1ad1885","cb8640a11d0a4ce68a4519d819025f09","0f9fd811f9e7492dbc2264efb02a06e5","dd4cce1460074f838cad8f653d7014ae","2a81e3d05fe042fc8ce7570c7adff90d","ee475bcfcc72451b88803f03003a8872","ce75e28dde07448d81159d3a750ed751","7fade8c7515c470482128066b7aef254","9250005dcfef4f45badc6f095452e822","5e625a85df2e4cd7aea4f98b8c7cff5f","9b27d9443dad4120a207e6bc0bf91bee","b93f2a6830ea400a86e4c5774707efbc","888405ae891b49f995b3a24d8a07f247","b342c12352cb45d696cf66c20d93b1b9","6db338ac24ed4287b20358489ba1a519","f0a16f0981f842efad5993625b3c499a","c0460ac9ab1a49a2be930737c1a105cf","58080052aca549f9a24ec47a9cfddeb8","a6b1e744b12048c9b5537b1d50312a0c","0da5759f513d4deb8830dcd95e6b3afe","75fe399feb73480b8270603fd902168b","5a2c0c6e724b48f8bd22cb9e4423bfc1","f0ecc815bc7f45ecbb95734212e1ea29","fe3c7e6df57249039f6e25eb12c0199a","a9447e2813a94ce69afcb7d9873637c4","73a0cd36a177454a90974cbae6b6e6ff"]},"id":"qOjhWWyCkYnD","executionInfo":{"status":"ok","timestamp":1747304691069,"user_tz":-330,"elapsed":193880,"user":{"displayName":"Sunny Thakur","userId":"00986316513702009163"}},"outputId":"f860833f-1450-49d7-961b-0e0980a95df7"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["Map: 0%| | 0/2124 [00:00<?, ? examples/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"41186ca82cb94dd79877b044148271ad"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Map: 0%| | 0/236 [00:00<?, ? examples/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"bf30862ea9cf415e85c1a6fd538d81b0"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Map: 0%| | 0/2124 [00:00<?, ? examples/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"86f3ca627a0c452490737f508cf943ca"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Map: 0%| | 0/236 [00:00<?, ? examples/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"b55c856aa2e04db3bdf9a3e50f28c66d"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Map: 0%| | 0/2124 [00:00<?, ? examples/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"2a81e3d05fe042fc8ce7570c7adff90d"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Map: 0%| | 0/236 [00:00<?, ? examples/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"f0a16f0981f842efad5993625b3c499a"}},"metadata":{}},{"output_type":"stream","name":"stderr","text":["<ipython-input-40-16a163510d2b>:92: FutureWarning: `tokenizer` is deprecated and will be removed in version 5.0.0 for `Trainer.__init__`. Use `processing_class` instead.\n"," trainer = Trainer(\n"]},{"output_type":"display_data","data":{"text/plain":["<IPython.core.display.HTML object>"],"text/html":["\n"," <div>\n"," \n"," <progress value='265' max='265' style='width:300px; height:20px; vertical-align: middle;'></progress>\n"," [265/265 02:57, Epoch 0/1]\n"," </div>\n"," <table border=\"1\" class=\"dataframe\">\n"," <thead>\n"," <tr style=\"text-align: left;\">\n"," <th>Step</th>\n"," <th>Training Loss</th>\n"," <th>Validation Loss</th>\n"," </tr>\n"," </thead>\n"," <tbody>\n"," <tr>\n"," <td>100</td>\n"," <td>0.002400</td>\n"," <td>0.000000</td>\n"," </tr>\n"," <tr>\n"," <td>200</td>\n"," <td>0.001700</td>\n"," <td>0.000000</td>\n"," </tr>\n"," </tbody>\n","</table><p>"]},"metadata":{}},{"output_type":"stream","name":"stderr","text":["There were missing keys in the checkpoint model loaded: ['lm_head.weight'].\n"]},{"output_type":"execute_result","data":{"text/plain":["('./my_redteam_gpt/tokenizer_config.json',\n"," './my_redteam_gpt/special_tokens_map.json',\n"," './my_redteam_gpt/vocab.json',\n"," './my_redteam_gpt/merges.txt',\n"," './my_redteam_gpt/added_tokens.json',\n"," './my_redteam_gpt/tokenizer.json')"]},"metadata":{},"execution_count":40}]},{"cell_type":"markdown","source":["# New Section"],"metadata":{"id":"4PazItUXKNKk"}},{"cell_type":"code","source":["# Step 7: Save model\n","model.save_pretrained(\"./my_redteam_gpt\")\n","tokenizer.save_pretrained(\"./my_redteam_gpt\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"4moGXbfC8_xu","executionInfo":{"status":"ok","timestamp":1747295935063,"user_tz":-330,"elapsed":3669,"user":{"displayName":"Sunny Thakur","userId":"00986316513702009163"}},"outputId":"bc4aa3ee-b28a-4690-e145-4c9a8c46c846"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["('./my_redteam_gpt/tokenizer_config.json',\n"," './my_redteam_gpt/special_tokens_map.json',\n"," './my_redteam_gpt/vocab.json',\n"," './my_redteam_gpt/merges.txt',\n"," './my_redteam_gpt/added_tokens.json',\n"," './my_redteam_gpt/tokenizer.json')"]},"metadata":{},"execution_count":21}]},{"cell_type":"code","source":["from transformers import AutoTokenizer, AutoModelForCausalLM\n","\n","model_path = \"./my_redteam_gpt\"\n","\n","tokenizer = AutoTokenizer.from_pretrained(model_path)\n","model = AutoModelForCausalLM.from_pretrained(model_path)\n","\n","# Test inference\n","input_text = \"User: What is c code?\\nAssistant:\"\n","inputs = tokenizer(input_text, return_tensors=\"pt\")\n","outputs = model.generate(**inputs, max_new_tokens=50)\n","print(tokenizer.decode(outputs[0], skip_special_tokens=True))"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"WIsRLh2Q4aJQ","executionInfo":{"status":"ok","timestamp":1747295687141,"user_tz":-330,"elapsed":1054,"user":{"displayName":"Sunny Thakur","userId":"00986316513702009163"}},"outputId":"8aca7cda-f365-4a85-fc24-3024c3180348"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stderr","text":["Setting `pad_token_id` to `eos_token_id`:50256 for open-end generation.\n"]},{"output_type":"stream","name":"stdout","text":["User: What is c code?\n","Assistant:\n"]}]},{"cell_type":"code","source":[],"metadata":{"id":"x8qZqaIRD3Ha"},"execution_count":null,"outputs":[]}]}