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The model does not understand UTF-8 characters but can make sense of the raw UTF-8 bytes that you can encode using the byte pair encoding method." ], "metadata": { "id": "b38f8e53b70dd168" } }, { "cell_type": "code", "source": [ "import torch\n", "import time\n", "import shutil\n", "import os\n", "from IPython.display import FileLink\n", "import torch.optim as optim\n", "from torch.utils.data import DataLoader\n", "from peft import LoraConfig, get_peft_model\n", "from datasets import load_dataset\n", "from transformers import GPT2Tokenizer, GPT2LMHeadModel" ], "metadata": { "trusted": true, "ExecuteTime": { "end_time": "2026-04-12T15:43:48.697416531Z", "start_time": "2026-04-12T15:43:42.476271470Z" }, "id": "50f94f7b-8eaa-4791-8224-fb6df4dffad0", "execution": { "iopub.status.busy": "2026-04-12T18:19:17.716939Z", "iopub.execute_input": "2026-04-12T18:19:17.717667Z", "iopub.status.idle": "2026-04-12T18:19:17.723060Z", "shell.execute_reply.started": "2026-04-12T18:19:17.717626Z", "shell.execute_reply": "2026-04-12T18:19:17.722342Z" } }, "outputs": [], "execution_count": 1 }, { "cell_type": "code", "source": [ "dataset = load_dataset(\"wikitext\", \"wikitext-2-raw-v1\")\n", "dataset = dataset.filter(lambda x: len(x[\"text\"].strip()) > 0)" ], "metadata": { "ExecuteTime": { "end_time": "2026-04-10T18:41:26.391038949Z", "start_time": "2026-04-10T18:41:23.168674202Z" }, "id": "e826153a4c898239", "trusted": true, "execution": { "iopub.status.busy": "2026-04-12T18:19:17.724418Z", "iopub.execute_input": "2026-04-12T18:19:17.725112Z", "iopub.status.idle": "2026-04-12T18:19:18.064737Z", "shell.execute_reply.started": "2026-04-12T18:19:17.725079Z", "shell.execute_reply": "2026-04-12T18:19:18.063944Z" }, "colab": { "base_uri": "https://localhost:8080/", "height": 508, "referenced_widgets": [ "55fc7909bc7b465bb350d74e01b680fe", "38d3f4ada47f4f14b310bf1f8a3d3614", "e8b528ea1cf0458a9bc6d4847714ed54", "93951a1af88b4ebf9333ec148f0d583b", "894d47c6a84447de9de970690ba803d0", 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"/usr/local/lib/python3.12/dist-packages/huggingface_hub/utils/_auth.py:94: UserWarning: \n", "The secret `HF_TOKEN` does not exist in your Colab secrets.\n", "To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n", "You will be able to reuse this secret in all of your notebooks.\n", "Please note that authentication is recommended but still optional to access public models or datasets.\n", " warnings.warn(\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "README.md: 0.00B [00:00, ?B/s]" ], "application/vnd.jupyter.widget-view+json": { "version_major": 2, "version_minor": 0, "model_id": "55fc7909bc7b465bb350d74e01b680fe" } }, "metadata": {} }, { "output_type": "stream", "name": "stderr", "text": [ "Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads.\n", "WARNING:huggingface_hub.utils._http:Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads.\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "wikitext-2-raw-v1/test-00000-of-00001.pa(…): 0%| | 0.00/733k [00:00