From 1313db6b8a1aa3c97f3fbebc6660ddd3ab44b131 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Micha=C5=82=20Koz=C5=82owski?= Date: Mon, 13 Feb 2023 20:36:35 +0100 Subject: [PATCH] gpt model huggingface --- GPT2.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/GPT2.ipynb b/GPT2.ipynb index 9ddd255..67f334b 100644 --- a/GPT2.ipynb +++ b/GPT2.ipynb @@ -1 +1 @@ -{"cells":[{"attachments":{},"cell_type":"markdown","metadata":{},"source":["# GPT2ForSequenceClassification model classification training"]},{"attachments":{},"cell_type":"markdown","metadata":{},"source":["## Colab link better looking output:\n","https://colab.research.google.com/drive/1LrvS9oWm5xXGdHj1jZme8YOj2OBqwtO5?usp=sharing"]},{"attachments":{},"cell_type":"markdown","metadata":{},"source":["## Links:\n","- Tensorboard training: https://tensorboard.dev/experiment/rdKko5l3RKaJoSogfLorWg/\n","- Huggingface dataset edited: https://huggingface.co/datasets/Zombely/sst2-project-dataset\n"]},{"cell_type":"code","execution_count":1,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":15979,"status":"ok","timestamp":1676305374765,"user":{"displayName":"Szymon Jadczak","userId":"16229243011212847322"},"user_tz":-60},"id":"c-qpu6ucECqI","outputId":"1047ba2d-7d53-46b1-9833-45a194ab92b8"},"outputs":[{"name":"stdout","output_type":"stream","text":["\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m462.8/462.8 KB\u001b[0m \u001b[31m7.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m6.3/6.3 MB\u001b[0m \u001b[31m61.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m132.0/132.0 KB\u001b[0m \u001b[31m10.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[2K 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load_dataset\n","import torch\n","from transformers import AutoTokenizer, GPT2ForSequenceClassification, Trainer, TrainingArguments, GPT2Tokenizer,GPT2Config\n","from sklearn.metrics import accuracy_score, precision_recall_fscore_support\n","from transformers.integrations import TensorBoardCallback"]},{"cell_type":"code","execution_count":3,"metadata":{"executionInfo":{"elapsed":7,"status":"ok","timestamp":1676305387066,"user":{"displayName":"Szymon Jadczak","userId":"16229243011212847322"},"user_tz":-60},"id":"tUfLBPm3Evhm"},"outputs":[],"source":["def load_and_process_dataset():\n"," dataset = load_dataset(\"sst2\")\n"," dataset.remove_columns('idx')\n"," del dataset['test']\n"," dataset['test'] = dataset['validation']\n"," del dataset['validation']\n"," split_dataset = dataset['train'].train_test_split(test_size=1600)\n"," dataset['train'] = split_dataset['train']\n"," dataset['validation'] = split_dataset['test']\n"," return dataset"]},{"cell_type":"code","execution_count":4,"metadata":{"executionInfo":{"elapsed":5,"status":"ok","timestamp":1676305389403,"user":{"displayName":"Szymon Jadczak","userId":"16229243011212847322"},"user_tz":-60},"id":"i1hzy-A-GYxy"},"outputs":[],"source":["def compute_metrics(pred):\n"," labels = pred.label_ids\n"," preds = pred.predictions.argmax(-1)\n"," precision, recall, f1, _ = precision_recall_fscore_support(labels, preds, average='binary')\n"," acc = accuracy_score(labels, preds)\n"," return {\n"," 'accuracy': acc,\n"," 'f1': f1,\n"," 'precision': precision,\n"," 'recall': recall\n"," }"]},{"cell_type":"code","execution_count":5,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":475,"referenced_widgets":["8915c540cb594dc6950aec7185ebad5f","9fa00816ce0244528d8b7ede60753887","fed26b7d846d476daaaca78536016e6d","1d4b0ec0e8624eaebb0fb4c24628b840","cf97f31b9724498e8c85e94065fbd72c","5af22308a6f2436b8dec7f35b9e5d735","a30e25e99c32435eaeb36230630454dc","db67924a54d140c09c22677c6c3fab62","408fb864bb5347a6a09a2ebf68078145","3bf8691a56b04dab89d6ee40b6224f51","3c2a42738f3d42d0820a9e604dadbca1","35ca17127f6b40eeb94c41b91c337abb","c5838c53156c4adf8de2b268f77840c6","63ea46bf2b3f4874ba6fe64ebc484a8e","b97a2add702a45cb9bbee16055be9762","2927aaba9a53433caf95962594ac6e8d","84ae752934ff4dd4ac2d71862c7f842e","4fca21372f92431d973ab03068e30c8e","179037108d244bf187774104afec20b5","9e950bff267d4e30a1bf7018b12c4d47","75a5753d4c7d4525ab785e213d33b91f","1e2a68a2e79b41b2a5c5673215f4d9c5","5311a0eea17740a1be48dd5bde280e95","24c7133f971443309dff6e52bb6cbaa8","aa7e45bfb7c44befa6e5f959ed7ddad8","d5fe6100130a4384aa01deeb78433bcb","099c146a72af4efb813513f52cdc72b0","32b1fc052f9d4176a1f71c472fd6a946","1bf30b711776427b9647c513e4bb6b8b","8832a81e09594926936a59fff39e34e4","6128949b67b24b029872fcc09f01e286","975f9bfc5949411885e9380de6b53234","afdf5c799ff8457ab95ee505bef941e1","8be4609b45fb4a678f662e4e7fd305a2","a07a29ceafaf4eccb89162ff3f85fbf6","e728c37679774bae8c7f089dce9e1f3f","17e26dcc802044369a0df38a05f9fd22","c022063df31241719d11c7a0ef850759","10c2bde2c257497290e59932cd689639","80fb545816e2447196727b1b9de29ac0","ee495192203d44c980ae4daa83a964c2","79ac5c8f9c3549dd89d205292eec171e","18cef7ff22224e91a562912d1810a421","415dfc2668f34ac99cc0fa0827c7be91","26088a7b60af40aea0fac459728fc816","072c55e0b38e4110ac3a1d316e6e1acc","ca79ffc1015d4ae397e779e68bbda73c","7bdce0a42d044e80bcfa3f83c58f68c2","45c49012759346b99c0b536a78d7469d","745d42f225214795a9d58c6029d37947","9135699e98a5444ca35db1e7dfe478f3","c8c57e3de287452e83193d4ca55880ad","3880e064ddce4863b7dfa01e0b79dea6","039fd184f08f4eecabe49b8f89ece4bc","0fbeab04f7c143389aed62c15f471e9b","4fc0e509dd2d4936b1eb055f0d0ded4d","8cf570e2f3584d16916e77022ed96ff3","1e714ce6818f46d8a60369941b9c72ab","88626e49f6114ceab998ed3e6e0000b6","4625af73a06b4ed38fd61323d599dddc","c857b32c3bd749a39570e7d5226d03f4","24b55d0fe2684ff58d7a16efd29d5f4f","c563cd00383d4cb791e274fd4c9f62a6","3b75f2cbf5c1466794a4dceb6315fe22","0bcd6041ab114381b19771c0bbfad0ab","f2283731df81440ab14c37ecc32b14fd","397a304d7dec4fb1bd73bb7a09dadaf2","03875596b4964b4c90cc43e42867ab3f","8367c38f00434d47a915cdd2d5878450","f6def8062eb84cdf9fe1df9c5a479b94","bda44a73a89d46dc86f16d37dea1d151","3ba186aefade4d52a7e399e22fa56fdf","0ce76a7bfe7e467eb42305f95a16b202","3258aa75a0784d7a868da3c16ebe8183","ad4ac7604aa44912abf3e53303dfa6cc","821c17be55874871a2efa343777ada34","6a32bbbfc93944e8a9732858254077bf","3d392bebb6c6403b9ebc1e3ed1182401","a1f6e6a062f2410d828875c651babf6a","46be33332a204076bdadf2eb848c7e34","37e716cde53b41989916557045af2480","4e9ec4029aa44a04b48ec45274beb330","90bd884c1efe4d199d5fbcf44a9d3643","a1396af8b1c9462b8618b530eae63ac4","5dadab329fc04bf0b0beccbbb50949ae","a61bcf5666e24fd993d8552ca27d1e2e","91171b0dd6154000830d81d7c9dd4b4e","321a9c13d7414abbbffec2e48dd9bc3a"]},"executionInfo":{"elapsed":16419,"status":"ok","timestamp":1676305408039,"user":{"displayName":"Szymon Jadczak","userId":"16229243011212847322"},"user_tz":-60},"id":"oHaSPWcpExTN","outputId":"607a2b04-207e-48f8-b1f4-8899e093c39c"},"outputs":[{"data":{"application/vnd.jupyter.widget-view+json":{"model_id":"8915c540cb594dc6950aec7185ebad5f","version_major":2,"version_minor":0},"text/plain":["Downloading builder script: 0%| | 0.00/3.77k [00:00 to the callbacks of this Trainer, but there is already one. The currentlist of callbacks is\n",":DefaultFlowCallback\n","TensorBoardCallback\n","Using cuda_amp half precision backend\n"]}],"source":["trainer = Trainer(\n"," model=model,\n"," args=training_args,\n"," compute_metrics=compute_metrics,\n"," train_dataset=train_data,\n"," eval_dataset=val_data,\n"," callbacks=[TensorBoardCallback]\n",")"]},{"cell_type":"code","execution_count":12,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"executionInfo":{"elapsed":3305526,"status":"ok","timestamp":1676308812452,"user":{"displayName":"Szymon Jadczak","userId":"16229243011212847322"},"user_tz":-60},"id":"zWl-G0ZsK1Pd","outputId":"f76662a7-d185-444f-ee5a-e6dd9d13f343"},"outputs":[{"name":"stderr","output_type":"stream","text":["The following columns in the training set don't have a corresponding argument in `GPT2ForSequenceClassification.forward` and have been ignored: sentence, idx. If sentence, idx are not expected by `GPT2ForSequenceClassification.forward`, you can safely ignore this message.\n","***** Running training *****\n"," Num examples = 65749\n"," Num Epochs = 4\n"," Instantaneous batch size per device = 4\n"," Total train batch size (w. parallel, distributed & accumulation) = 64\n"," Gradient Accumulation steps = 16\n"," Total optimization steps = 4108\n"," Number of trainable parameters = 124441344\n"]},{"data":{"text/html":["\n","
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EpochTraining LossValidation LossAccuracyF1PrecisionRecall
00.2994000.2050000.9212500.9309210.9268560.935022
10.1942000.1663650.9368750.9441060.9488320.939427
20.1103000.1934200.9381250.9450920.9519550.938326
30.0949000.1979880.9418750.9481890.9594140.937225

"],"text/plain":[""]},"metadata":{},"output_type":"display_data"},{"name":"stderr","output_type":"stream","text":["Saving model checkpoint to ./results/checkpoint-500\n","Configuration saved in ./results/checkpoint-500/config.json\n","Model weights saved in ./results/checkpoint-500/pytorch_model.bin\n","Saving model checkpoint to ./results/checkpoint-1000\n","Configuration saved in ./results/checkpoint-1000/config.json\n","Model weights saved in ./results/checkpoint-1000/pytorch_model.bin\n","The following columns in the evaluation set don't have a corresponding argument in `GPT2ForSequenceClassification.forward` and have been ignored: sentence, idx. If sentence, idx are not expected by `GPT2ForSequenceClassification.forward`, you can safely ignore this message.\n","***** Running Evaluation *****\n"," Num examples = 1600\n"," Batch size = 8\n","Saving model checkpoint to ./results/checkpoint-1500\n","Configuration saved in ./results/checkpoint-1500/config.json\n","Model weights saved in ./results/checkpoint-1500/pytorch_model.bin\n","Saving model checkpoint to ./results/checkpoint-2000\n","Configuration saved in ./results/checkpoint-2000/config.json\n","Model weights saved in ./results/checkpoint-2000/pytorch_model.bin\n","The following columns in the evaluation set don't have a corresponding argument in `GPT2ForSequenceClassification.forward` and have been ignored: sentence, idx. If sentence, idx are not expected by `GPT2ForSequenceClassification.forward`, you can safely ignore this message.\n","***** Running Evaluation *****\n"," Num examples = 1600\n"," Batch size = 8\n","Saving model checkpoint to ./results/checkpoint-2500\n","Configuration saved in ./results/checkpoint-2500/config.json\n","Model weights saved in ./results/checkpoint-2500/pytorch_model.bin\n","Saving model checkpoint to ./results/checkpoint-3000\n","Configuration saved in ./results/checkpoint-3000/config.json\n","Model weights saved in ./results/checkpoint-3000/pytorch_model.bin\n","The following columns in the evaluation set don't have a corresponding argument in `GPT2ForSequenceClassification.forward` and have been ignored: sentence, idx. If sentence, idx are not expected by `GPT2ForSequenceClassification.forward`, you can safely ignore this message.\n","***** Running Evaluation *****\n"," Num examples = 1600\n"," Batch size = 8\n","Saving model checkpoint to ./results/checkpoint-3500\n","Configuration saved in ./results/checkpoint-3500/config.json\n","Model weights saved in ./results/checkpoint-3500/pytorch_model.bin\n","Saving model checkpoint to ./results/checkpoint-4000\n","Configuration saved in ./results/checkpoint-4000/config.json\n","Model weights saved in ./results/checkpoint-4000/pytorch_model.bin\n","The following columns in the evaluation set don't have a corresponding argument in `GPT2ForSequenceClassification.forward` and have been ignored: sentence, idx. If sentence, idx are not expected by `GPT2ForSequenceClassification.forward`, you can safely ignore this message.\n","***** Running Evaluation *****\n"," Num examples = 1600\n"," Batch size = 8\n","\n","\n","Training completed. Do not forget to share your model on huggingface.co/models =)\n","\n","\n"]},{"data":{"text/plain":["TrainOutput(global_step=4108, training_loss=0.19953461595336675, metrics={'train_runtime': 3303.857, 'train_samples_per_second': 79.603, 'train_steps_per_second': 1.243, 'total_flos': 8723522156544000.0, 'train_loss': 0.19953461595336675, 'epoch': 4.0})"]},"execution_count":12,"metadata":{},"output_type":"execute_result"}],"source":["trainer.train()"]},{"cell_type":"code","execution_count":13,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":283},"executionInfo":{"elapsed":4231,"status":"ok","timestamp":1676308826602,"user":{"displayName":"Szymon Jadczak","userId":"16229243011212847322"},"user_tz":-60},"id":"lc2M6UD5R07X","outputId":"f4b44cbf-930d-4078-e071-09841d09bcaf"},"outputs":[{"name":"stderr","output_type":"stream","text":["The following columns in the evaluation set don't have a corresponding argument in `GPT2ForSequenceClassification.forward` and have been ignored: sentence, idx. If sentence, idx are not expected by `GPT2ForSequenceClassification.forward`, you can safely ignore this message.\n","***** Running Evaluation *****\n"," Num examples = 1600\n"," Batch size = 8\n"]},{"data":{"text/html":["\n","

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\n"," "],"text/plain":[""]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["{'eval_loss': 0.19798797369003296,\n"," 'eval_accuracy': 0.941875,\n"," 'eval_f1': 0.9481894150417827,\n"," 'eval_precision': 0.9594137542277339,\n"," 'eval_recall': 0.9372246696035242,\n"," 'eval_runtime': 4.1144,\n"," 'eval_samples_per_second': 388.88,\n"," 'eval_steps_per_second': 48.61,\n"," 'epoch': 4.0}"]},"execution_count":13,"metadata":{},"output_type":"execute_result"}],"source":["trainer.evaluate()"]},{"cell_type":"code","execution_count":14,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":283},"executionInfo":{"elapsed":2797,"status":"ok","timestamp":1676308836031,"user":{"displayName":"Szymon Jadczak","userId":"16229243011212847322"},"user_tz":-60},"id":"QZXzwZFhR2ON","outputId":"c9c846a3-9781-4b58-f15d-17fb7303f7c8"},"outputs":[{"name":"stderr","output_type":"stream","text":["The following columns in the evaluation set don't have a corresponding argument in `GPT2ForSequenceClassification.forward` and have been ignored: sentence, idx. If sentence, idx are not expected by `GPT2ForSequenceClassification.forward`, you can safely ignore this message.\n","***** Running Evaluation *****\n"," Num examples = 872\n"," Batch size = 8\n"]},{"data":{"text/html":["\n","
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If you would like to use Nvidia GPU with TensorRT, please make sure the missing libraries mentioned above are installed properly.\n","\n","***** TensorBoard Uploader *****\n","\n","This will upload your TensorBoard logs to https://tensorboard.dev/ from\n","the following directory:\n","\n","logs\n","\n","This TensorBoard will be visible to everyone. Do not upload sensitive\n","data.\n","\n","Your use of this service is subject to Google's Terms of Service\n"," and Privacy Policy\n",", and TensorBoard.dev's Terms of Service\n",".\n","\n","This notice will not be shown again while you are logged into the uploader.\n","To log out, run `tensorboard dev auth revoke`.\n","\n","Continue? (yes/NO) YES\n","\n","To sign in with the TensorBoard uploader:\n","\n","1. On your computer or phone, visit:\n","\n"," https://www.google.com/device\n","\n","2. Sign in with your Google account, then enter:\n","\n"," LLX-MQT-RDG\n","\n","\n","Upload started and will continue reading any new data as it's added to the logdir.\n","\n","To stop uploading, press Ctrl-C.\n","\n","New experiment created. View your TensorBoard at: https://tensorboard.dev/experiment/rdKko5l3RKaJoSogfLorWg/\n","\n","\u001b[1m[2023-02-13T17:21:34]\u001b[0m Started scanning logdir.\n","\u001b[1m[2023-02-13T17:21:36]\u001b[0m Total uploaded: 3198 scalars, 10 tensors (7.6 kB), 0 binary objects\n","\n","\n","Interrupted. View your TensorBoard at https://tensorboard.dev/experiment/rdKko5l3RKaJoSogfLorWg/\n","Traceback (most recent call last):\n"," File \"/usr/local/bin/tensorboard\", line 8, in \n"," sys.exit(run_main())\n"," File \"/usr/local/lib/python3.8/dist-packages/tensorboard/main.py\", line 46, in run_main\n"," app.run(tensorboard.main, flags_parser=tensorboard.configure)\n"," File \"/usr/local/lib/python3.8/dist-packages/absl/app.py\", line 308, in run\n"," _run_main(main, args)\n"," File \"/usr/local/lib/python3.8/dist-packages/absl/app.py\", line 254, in _run_main\n"," sys.exit(main(argv))\n"," File \"/usr/local/lib/python3.8/dist-packages/tensorboard/program.py\", line 276, in main\n"," return runner(self.flags) or 0\n"," File \"/usr/local/lib/python3.8/dist-packages/tensorboard/uploader/uploader_subcommand.py\", line 691, in run\n"," return _run(flags, self._experiment_url_callback)\n"," File \"/usr/local/lib/python3.8/dist-packages/tensorboard/uploader/uploader_subcommand.py\", line 124, 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Jadczak","userId":"16229243011212847322"},"user_tz":-60},"id":"c-qpu6ucECqI","outputId":"1047ba2d-7d53-46b1-9833-45a194ab92b8"},"outputs":[{"name":"stdout","output_type":"stream","text":["\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m462.8/462.8 KB\u001b[0m \u001b[31m7.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m6.3/6.3 MB\u001b[0m \u001b[31m61.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m132.0/132.0 KB\u001b[0m \u001b[31m10.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m190.3/190.3 KB\u001b[0m \u001b[31m5.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m213.0/213.0 KB\u001b[0m \u001b[31m8.8 MB/s\u001b[0m eta 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TensorBoardCallback"]},{"cell_type":"code","execution_count":3,"metadata":{"executionInfo":{"elapsed":7,"status":"ok","timestamp":1676305387066,"user":{"displayName":"Szymon Jadczak","userId":"16229243011212847322"},"user_tz":-60},"id":"tUfLBPm3Evhm"},"outputs":[],"source":["def load_and_process_dataset():\n"," dataset = load_dataset(\"sst2\")\n"," dataset.remove_columns('idx')\n"," del dataset['test']\n"," dataset['test'] = dataset['validation']\n"," del dataset['validation']\n"," split_dataset = dataset['train'].train_test_split(test_size=1600)\n"," dataset['train'] = split_dataset['train']\n"," dataset['validation'] = split_dataset['test']\n"," return dataset"]},{"cell_type":"code","execution_count":4,"metadata":{"executionInfo":{"elapsed":5,"status":"ok","timestamp":1676305389403,"user":{"displayName":"Szymon Jadczak","userId":"16229243011212847322"},"user_tz":-60},"id":"i1hzy-A-GYxy"},"outputs":[],"source":["def compute_metrics(pred):\n"," labels = pred.label_ids\n"," preds = pred.predictions.argmax(-1)\n"," precision, recall, f1, _ = precision_recall_fscore_support(labels, preds, average='binary')\n"," acc = accuracy_score(labels, preds)\n"," return {\n"," 'accuracy': acc,\n"," 'f1': f1,\n"," 'precision': precision,\n"," 'recall': recall\n"," 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Jadczak","userId":"16229243011212847322"},"user_tz":-60},"id":"oHaSPWcpExTN","outputId":"607a2b04-207e-48f8-b1f4-8899e093c39c"},"outputs":[{"data":{"application/vnd.jupyter.widget-view+json":{"model_id":"8915c540cb594dc6950aec7185ebad5f","version_major":2,"version_minor":0},"text/plain":["Downloading builder script: 0%| | 0.00/3.77k [00:00 to the callbacks of this Trainer, but there is already one. The currentlist of callbacks is\n",":DefaultFlowCallback\n","TensorBoardCallback\n","Using cuda_amp half precision backend\n"]}],"source":["trainer = Trainer(\n"," model=model,\n"," args=training_args,\n"," compute_metrics=compute_metrics,\n"," train_dataset=train_data,\n"," eval_dataset=val_data,\n"," callbacks=[TensorBoardCallback]\n",")"]},{"cell_type":"code","execution_count":12,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"executionInfo":{"elapsed":3305526,"status":"ok","timestamp":1676308812452,"user":{"displayName":"Szymon Jadczak","userId":"16229243011212847322"},"user_tz":-60},"id":"zWl-G0ZsK1Pd","outputId":"f76662a7-d185-444f-ee5a-e6dd9d13f343"},"outputs":[{"name":"stderr","output_type":"stream","text":["The following columns in the training set don't have a corresponding argument in `GPT2ForSequenceClassification.forward` and have been ignored: sentence, idx. If sentence, idx are not expected by `GPT2ForSequenceClassification.forward`, you can safely ignore this message.\n","***** Running training *****\n"," Num examples = 65749\n"," Num Epochs = 4\n"," Instantaneous batch size per device = 4\n"," Total train batch size (w. parallel, distributed & accumulation) = 64\n"," Gradient Accumulation steps = 16\n"," Total optimization steps = 4108\n"," Number of trainable parameters = 124441344\n"]},{"data":{"text/html":["\n","
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EpochTraining LossValidation LossAccuracyF1PrecisionRecall
00.2994000.2050000.9212500.9309210.9268560.935022
10.1942000.1663650.9368750.9441060.9488320.939427
20.1103000.1934200.9381250.9450920.9519550.938326
30.0949000.1979880.9418750.9481890.9594140.937225

"],"text/plain":[""]},"metadata":{},"output_type":"display_data"},{"name":"stderr","output_type":"stream","text":["Saving model checkpoint to ./results/checkpoint-500\n","Configuration saved in ./results/checkpoint-500/config.json\n","Model weights saved in ./results/checkpoint-500/pytorch_model.bin\n","Saving model checkpoint to ./results/checkpoint-1000\n","Configuration saved in ./results/checkpoint-1000/config.json\n","Model weights saved in ./results/checkpoint-1000/pytorch_model.bin\n","The following columns in the evaluation set don't have a corresponding argument in `GPT2ForSequenceClassification.forward` and have been ignored: sentence, idx. If sentence, idx are not expected by `GPT2ForSequenceClassification.forward`, you can safely ignore this message.\n","***** Running Evaluation *****\n"," Num examples = 1600\n"," Batch size = 8\n","Saving model checkpoint to ./results/checkpoint-1500\n","Configuration saved in ./results/checkpoint-1500/config.json\n","Model weights saved in ./results/checkpoint-1500/pytorch_model.bin\n","Saving model checkpoint to ./results/checkpoint-2000\n","Configuration saved in ./results/checkpoint-2000/config.json\n","Model weights saved in ./results/checkpoint-2000/pytorch_model.bin\n","The following columns in the evaluation set don't have a corresponding argument in `GPT2ForSequenceClassification.forward` and have been ignored: sentence, idx. If sentence, idx are not expected by `GPT2ForSequenceClassification.forward`, you can safely ignore this message.\n","***** Running Evaluation *****\n"," Num examples = 1600\n"," Batch size = 8\n","Saving model checkpoint to ./results/checkpoint-2500\n","Configuration saved in ./results/checkpoint-2500/config.json\n","Model weights saved in ./results/checkpoint-2500/pytorch_model.bin\n","Saving model checkpoint to ./results/checkpoint-3000\n","Configuration saved in ./results/checkpoint-3000/config.json\n","Model weights saved in ./results/checkpoint-3000/pytorch_model.bin\n","The following columns in the evaluation set don't have a corresponding argument in `GPT2ForSequenceClassification.forward` and have been ignored: sentence, idx. If sentence, idx are not expected by `GPT2ForSequenceClassification.forward`, you can safely ignore this message.\n","***** Running Evaluation *****\n"," Num examples = 1600\n"," Batch size = 8\n","Saving model checkpoint to ./results/checkpoint-3500\n","Configuration saved in ./results/checkpoint-3500/config.json\n","Model weights saved in ./results/checkpoint-3500/pytorch_model.bin\n","Saving model checkpoint to ./results/checkpoint-4000\n","Configuration saved in ./results/checkpoint-4000/config.json\n","Model weights saved in ./results/checkpoint-4000/pytorch_model.bin\n","The following columns in the evaluation set don't have a corresponding argument in `GPT2ForSequenceClassification.forward` and have been ignored: sentence, idx. If sentence, idx are not expected by `GPT2ForSequenceClassification.forward`, you can safely ignore this message.\n","***** Running Evaluation *****\n"," Num examples = 1600\n"," Batch size = 8\n","\n","\n","Training completed. Do not forget to share your model on huggingface.co/models =)\n","\n","\n"]},{"data":{"text/plain":["TrainOutput(global_step=4108, training_loss=0.19953461595336675, metrics={'train_runtime': 3303.857, 'train_samples_per_second': 79.603, 'train_steps_per_second': 1.243, 'total_flos': 8723522156544000.0, 'train_loss': 0.19953461595336675, 'epoch': 4.0})"]},"execution_count":12,"metadata":{},"output_type":"execute_result"}],"source":["trainer.train()"]},{"cell_type":"code","execution_count":13,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":283},"executionInfo":{"elapsed":4231,"status":"ok","timestamp":1676308826602,"user":{"displayName":"Szymon Jadczak","userId":"16229243011212847322"},"user_tz":-60},"id":"lc2M6UD5R07X","outputId":"f4b44cbf-930d-4078-e071-09841d09bcaf"},"outputs":[{"name":"stderr","output_type":"stream","text":["The following columns in the evaluation set don't have a corresponding argument in `GPT2ForSequenceClassification.forward` and have been ignored: sentence, idx. If sentence, idx are not expected by `GPT2ForSequenceClassification.forward`, you can safely ignore this message.\n","***** Running Evaluation *****\n"," Num examples = 1600\n"," Batch size = 8\n"]},{"data":{"text/html":["\n","

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\n"," "],"text/plain":[""]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["{'eval_loss': 0.19798797369003296,\n"," 'eval_accuracy': 0.941875,\n"," 'eval_f1': 0.9481894150417827,\n"," 'eval_precision': 0.9594137542277339,\n"," 'eval_recall': 0.9372246696035242,\n"," 'eval_runtime': 4.1144,\n"," 'eval_samples_per_second': 388.88,\n"," 'eval_steps_per_second': 48.61,\n"," 'epoch': 4.0}"]},"execution_count":13,"metadata":{},"output_type":"execute_result"}],"source":["trainer.evaluate()"]},{"cell_type":"code","execution_count":14,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":283},"executionInfo":{"elapsed":2797,"status":"ok","timestamp":1676308836031,"user":{"displayName":"Szymon Jadczak","userId":"16229243011212847322"},"user_tz":-60},"id":"QZXzwZFhR2ON","outputId":"c9c846a3-9781-4b58-f15d-17fb7303f7c8"},"outputs":[{"name":"stderr","output_type":"stream","text":["The following columns in the evaluation set don't have a corresponding argument in `GPT2ForSequenceClassification.forward` and have been ignored: sentence, idx. If sentence, idx are not expected by `GPT2ForSequenceClassification.forward`, you can safely ignore this message.\n","***** Running Evaluation *****\n"," Num examples = 872\n"," Batch size = 8\n"]},{"data":{"text/html":["\n","
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\n"," "],"text/plain":[""]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["{'eval_loss': 0.32073774933815,\n"," 'eval_accuracy': 0.9174311926605505,\n"," 'eval_f1': 0.9191011235955056,\n"," 'eval_precision': 0.9170403587443946,\n"," 'eval_recall': 0.9211711711711712,\n"," 'eval_runtime': 2.7023,\n"," 'eval_samples_per_second': 322.685,\n"," 'eval_steps_per_second': 40.336,\n"," 'epoch': 4.0}"]},"execution_count":14,"metadata":{},"output_type":"execute_result"}],"source":["trainer.evaluate(test_data)"]},{"cell_type":"code","execution_count":15,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":114414,"status":"ok","timestamp":1676308957084,"user":{"displayName":"Szymon Jadczak","userId":"16229243011212847322"},"user_tz":-60},"id":"ng3tlrgBlLyk","outputId":"d68531c1-edb8-4277-817f-6a3871faf09a"},"outputs":[{"name":"stdout","output_type":"stream","text":["2023-02-13 17:20:44.499658: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer.so.7'; dlerror: libnvinfer.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/lib64-nvidia\n","2023-02-13 17:20:44.499776: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer_plugin.so.7'; dlerror: libnvinfer_plugin.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/lib64-nvidia\n","2023-02-13 17:20:44.499796: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Cannot dlopen some TensorRT libraries. If you would like to use Nvidia GPU with TensorRT, please make sure the missing libraries mentioned above are installed properly.\n","\n","***** TensorBoard Uploader *****\n","\n","This will upload your TensorBoard logs to https://tensorboard.dev/ from\n","the following directory:\n","\n","logs\n","\n","This TensorBoard will be visible to everyone. Do not upload sensitive\n","data.\n","\n","Your use of this service is subject to Google's Terms of Service\n"," and Privacy Policy\n",", and TensorBoard.dev's Terms of Service\n",".\n","\n","This notice will not be shown again while you are logged into the uploader.\n","To log out, run `tensorboard dev auth revoke`.\n","\n","Continue? (yes/NO) YES\n","\n","To sign in with the TensorBoard uploader:\n","\n","1. On your computer or phone, visit:\n","\n"," https://www.google.com/device\n","\n","2. Sign in with your Google account, then enter:\n","\n"," LLX-MQT-RDG\n","\n","\n","Upload started and will continue reading any new data as it's added to the logdir.\n","\n","To stop uploading, press Ctrl-C.\n","\n","New experiment created. View your TensorBoard at: https://tensorboard.dev/experiment/rdKko5l3RKaJoSogfLorWg/\n","\n","\u001b[1m[2023-02-13T17:21:34]\u001b[0m Started scanning logdir.\n","\u001b[1m[2023-02-13T17:21:36]\u001b[0m Total uploaded: 3198 scalars, 10 tensors (7.6 kB), 0 binary objects\n","\n","\n","Interrupted. View your TensorBoard at https://tensorboard.dev/experiment/rdKko5l3RKaJoSogfLorWg/\n","Traceback (most recent call last):\n"," File \"/usr/local/bin/tensorboard\", line 8, in \n"," sys.exit(run_main())\n"," File \"/usr/local/lib/python3.8/dist-packages/tensorboard/main.py\", line 46, in run_main\n"," app.run(tensorboard.main, flags_parser=tensorboard.configure)\n"," File \"/usr/local/lib/python3.8/dist-packages/absl/app.py\", line 308, in run\n"," _run_main(main, args)\n"," File \"/usr/local/lib/python3.8/dist-packages/absl/app.py\", line 254, in _run_main\n"," sys.exit(main(argv))\n"," File \"/usr/local/lib/python3.8/dist-packages/tensorboard/program.py\", line 276, in main\n"," return runner(self.flags) or 0\n"," File \"/usr/local/lib/python3.8/dist-packages/tensorboard/uploader/uploader_subcommand.py\", line 691, in run\n"," return _run(flags, self._experiment_url_callback)\n"," File \"/usr/local/lib/python3.8/dist-packages/tensorboard/uploader/uploader_subcommand.py\", line 124, in _run\n"," intent.execute(server_info, channel)\n"," File \"/usr/local/lib/python3.8/dist-packages/tensorboard/uploader/uploader_subcommand.py\", line 507, in execute\n"," sys.stdout.write(end_message + \"\\n\")\n","KeyboardInterrupt\n","^C\n"]}],"source":["!tensorboard dev upload --logdir logs --name GPT2ForSequenceClassification"]},{"cell_type":"code","execution_count":16,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":479,"status":"ok","timestamp":1676308960918,"user":{"displayName":"Szymon Jadczak","userId":"16229243011212847322"},"user_tz":-60},"id":"YJtfrQiglPD3","outputId":"44d36757-2707-4a21-9d1b-ca4acbe4ce66"},"outputs":[{"name":"stderr","output_type":"stream","text":["Configuration saved in ./model/config.json\n","Model weights saved in ./model/pytorch_model.bin\n"]}],"source":["model.save_pretrained(\"./model\")"]},{"cell_type":"code","execution_count":17,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":26147,"status":"ok","timestamp":1676308989685,"user":{"displayName":"Szymon Jadczak","userId":"16229243011212847322"},"user_tz":-60},"id":"aVkcc3S6lSEX","outputId":"a29cd0fa-cf61-4117-984f-ae6140ba69a7"},"outputs":[{"name":"stdout","output_type":"stream","text":[" adding: model/ (stored 0%)\n"," adding: model/config.json (deflated 53%)\n"," adding: model/pytorch_model.bin (deflated 9%)\n"]}],"source":["!zip model -r model"]}],"metadata":{"accelerator":"GPU","colab":{"authorship_tag":"ABX9TyOSyAritLpV4ykVyR/U2bbn","machine_shape":"hm","provenance":[]},"gpuClass":"standard","kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"name":"python","version":"3.9.0"},"vscode":{"interpreter":{"hash":"81794d4967e6c3204c66dcd87b604927b115b27c00565d3d43f05ba2f3a2cb0d"}},"widgets":{"application/vnd.jupyter.widget-state+json":{"00033e526a0b4dc6a103d437cf8851e6":{"model_module":"@jupyter-widgets/controls","model_module_version":"1.5.0","model_name":"HTMLModel","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"HTMLModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"HTMLView","description":"","description_tooltip":null,"layout":"IPY_MODEL_18b464bd72984908b689e0a22f5775e1","placeholder":"​","style":"IPY_MODEL_d36ea3cdb4ce4b2dadd1a46a1c10a6a9","value":"Downloading (…)olve/main/vocab.json: 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