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"outputId": "aed40546-2c4b-4e49-d54d-3a3d2fbbf182" + "outputId": "feafb930-4dbf-436c-8e37-de4e8b8a32cc" }, "execution_count": 2, "outputs": [ @@ -4247,29 +485,29 @@ "output_type": "stream", "name": "stdout", "text": [ - "--2023-02-12 20:36:08-- https://git.wmi.amu.edu.pl/s444465/projekt-glebokie/raw/branch/master/run_glue.py\n", + "--2023-02-12 21:57:57-- https://git.wmi.amu.edu.pl/s444465/projekt-glebokie/raw/branch/master/run_glue.py\n", "Resolving git.wmi.amu.edu.pl (git.wmi.amu.edu.pl)... 150.254.78.40\n", "Connecting to git.wmi.amu.edu.pl (git.wmi.amu.edu.pl)|150.254.78.40|:443... connected.\n", "HTTP request sent, awaiting response... 200 OK\n", "Length: 30601 (30K) [text/plain]\n", "Saving to: ‘run_glue.py’\n", "\n", - "run_glue.py 100%[===================>] 29.88K 140KB/s in 0.2s \n", + "run_glue.py 100%[===================>] 29.88K --.-KB/s in 0.1s \n", "\n", - "2023-02-12 20:36:11 (140 KB/s) - ‘run_glue.py’ saved [30601/30601]\n", + "2023-02-12 21:57:58 (248 KB/s) - ‘run_glue.py’ saved [30601/30601]\n", "\n", - "--2023-02-12 20:36:11-- https://git.wmi.amu.edu.pl/s444465/projekt-glebokie/raw/branch/master/roberta.py\n", + "--2023-02-12 21:57:58-- https://git.wmi.amu.edu.pl/s444465/projekt-glebokie/raw/branch/master/roberta.py\n", "Resolving git.wmi.amu.edu.pl (git.wmi.amu.edu.pl)... 150.254.78.40\n", "Connecting to git.wmi.amu.edu.pl (git.wmi.amu.edu.pl)|150.254.78.40|:443... connected.\n", "HTTP request sent, awaiting response... 200 OK\n", "Length: 12783 (12K) [text/plain]\n", "Saving to: ‘roberta.py’\n", "\n", - "roberta.py 100%[===================>] 12.48K 29.5KB/s in 0.4s \n", + "roberta.py 100%[===================>] 12.48K --.-KB/s in 0s \n", "\n", - "2023-02-12 20:36:13 (29.5 KB/s) - ‘roberta.py’ saved [12783/12783]\n", + "2023-02-12 21:57:58 (265 MB/s) - ‘roberta.py’ saved [12783/12783]\n", "\n", - "--2023-02-12 20:36:13-- https://git.wmi.amu.edu.pl/s444465/projekt-glebokie/raw/branch/master/gpt2.py\n", + "--2023-02-12 21:57:58-- https://git.wmi.amu.edu.pl/s444465/projekt-glebokie/raw/branch/master/gpt2.py\n", "Resolving git.wmi.amu.edu.pl (git.wmi.amu.edu.pl)... 150.254.78.40\n", "Connecting to git.wmi.amu.edu.pl (git.wmi.amu.edu.pl)|150.254.78.40|:443... connected.\n", "HTTP request sent, awaiting response... 200 OK\n", @@ -4278,7 +516,7 @@ "\n", "gpt2.py 100%[===================>] 7.79K --.-KB/s in 0s \n", "\n", - "2023-02-12 20:36:14 (1.23 GB/s) - ‘gpt2.py’ saved [7976/7976]\n", + "2023-02-12 21:57:59 (1.37 GB/s) - ‘gpt2.py’ saved [7976/7976]\n", "\n" ] } @@ -4293,7 +531,6 @@ "from datasets import load_dataset\n", "\n", "loaded_data = load_dataset('emotion')\n", - "\n", "!mkdir -v -p data\n", "\n", "train_path = Path('data/train.json')\n", @@ -4303,7 +540,8 @@ "\n", "for source_data, dataset, max_size in [\n", " (loaded_data['train'], data_train, None),\n", - " (loaded_data['test'], data_valid, None),\n", + " (loaded_data['validation'], data_valid, None),\n", + " (loaded_data['test'], data_test, None),\n", "]:\n", " for i, data in enumerate(source_data):\n", " if max_size is not None and i >= max_size:\n", @@ -4319,7 +557,7 @@ "\n", "data_class_1, data_class_2 = [], []\n", "\n", - "for data in data_valid:\n", + "\"\"\"for data in data_valid:\n", " label = data['label']\n", " if label == 0:\n", " data_class_1.append(data)\n", @@ -4334,6 +572,7 @@ "\n", "data_valid = data_class_1[:size_half_class_1] + data_class_2[:size_half_class_2]\n", "data_test = data_class_1[size_half_class_1:] + data_class_2[size_half_class_2:]\n", + "\"\"\"\n", "\n", "print(f'Valid: {len(data_valid):6d}')\n", "print(f'Test : {len(data_test):6d}')\n", @@ -4373,320 +612,32 @@ "metadata": { "colab": { "base_uri": "https://localhost:8080/", - 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"outputId": "d6a86587-a559-4ab8-9e99-2b9dfe509660" + "outputId": "6a2bad78-8eb7-4a90-c839-b7cc470438d7" }, - "execution_count": 3, + "execution_count": 4, "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "Downloading builder script: 0%| | 0.00/3.97k [00:00> loading configuration file config.json from cache at .cache_training/models--gpt2/snapshots/e7da7f221d5bf496a48136c0cd264e630fe9fcc8/config.json\n", - "[INFO|configuration_utils.py:712] 2023-02-12 20:36:43,515 >> Model config GPT2Config {\n", + "Dataset json downloaded and prepared to /content/.cache_training/json/default-623c8a7b15a2e58a/0.0.0/0f7e3662623656454fcd2b650f34e886a7db4b9104504885bd462096cc7a9f51. Subsequent calls will reuse this data.\n", + "100% 3/3 [00:00<00:00, 1028.86it/s]\n", + "Downloading (…)lve/main/config.json: 100% 665/665 [00:00<00:00, 126kB/s]\n", + "[INFO|configuration_utils.py:660] 2023-02-12 22:00:20,342 >> loading configuration file config.json from cache at .cache_training/models--gpt2/snapshots/e7da7f221d5bf496a48136c0cd264e630fe9fcc8/config.json\n", + "[INFO|configuration_utils.py:712] 2023-02-12 22:00:20,343 >> Model config GPT2Config {\n", " \"_name_or_path\": \"gpt2\",\n", " \"activation_function\": \"gelu_new\",\n", " \"architectures\": [\n", @@ -5028,9 +976,9 @@ " \"vocab_size\": 50257\n", "}\n", "\n", - "[INFO|tokenization_auto.py:458] 2023-02-12 20:36:44,424 >> Could not locate the tokenizer configuration file, will try to use the model config instead.\n", - "[INFO|configuration_utils.py:660] 2023-02-12 20:36:45,322 >> loading configuration file config.json from cache at .cache_training/models--gpt2/snapshots/e7da7f221d5bf496a48136c0cd264e630fe9fcc8/config.json\n", - "[INFO|configuration_utils.py:712] 2023-02-12 20:36:45,323 >> Model config GPT2Config {\n", + "[INFO|tokenization_auto.py:458] 2023-02-12 22:00:20,434 >> Could not locate the tokenizer configuration file, will try to use the model config instead.\n", + "[INFO|configuration_utils.py:660] 2023-02-12 22:00:20,525 >> loading configuration file config.json from cache at .cache_training/models--gpt2/snapshots/e7da7f221d5bf496a48136c0cd264e630fe9fcc8/config.json\n", + "[INFO|configuration_utils.py:712] 2023-02-12 22:00:20,525 >> Model config GPT2Config {\n", " \"_name_or_path\": \"gpt2\",\n", " \"activation_function\": \"gelu_new\",\n", " \"architectures\": [\n", @@ -5069,17 +1017,17 @@ " \"vocab_size\": 50257\n", "}\n", "\n", - "Downloading (…)olve/main/vocab.json: 100% 1.04M/1.04M [00:01<00:00, 940kB/s]\n", - "Downloading (…)olve/main/merges.txt: 100% 456k/456k [00:01<00:00, 413kB/s]\n", - "Downloading (…)/main/tokenizer.json: 100% 1.36M/1.36M [00:01<00:00, 1.01MB/s]\n", - "[INFO|tokenization_utils_base.py:1802] 2023-02-12 20:36:57,333 >> loading file vocab.json from cache at .cache_training/models--gpt2/snapshots/e7da7f221d5bf496a48136c0cd264e630fe9fcc8/vocab.json\n", - "[INFO|tokenization_utils_base.py:1802] 2023-02-12 20:36:57,333 >> loading file merges.txt from cache at .cache_training/models--gpt2/snapshots/e7da7f221d5bf496a48136c0cd264e630fe9fcc8/merges.txt\n", - "[INFO|tokenization_utils_base.py:1802] 2023-02-12 20:36:57,334 >> loading file tokenizer.json from cache at .cache_training/models--gpt2/snapshots/e7da7f221d5bf496a48136c0cd264e630fe9fcc8/tokenizer.json\n", - "[INFO|tokenization_utils_base.py:1802] 2023-02-12 20:36:57,334 >> loading file added_tokens.json from cache at None\n", - "[INFO|tokenization_utils_base.py:1802] 2023-02-12 20:36:57,334 >> loading file special_tokens_map.json from cache at None\n", - "[INFO|tokenization_utils_base.py:1802] 2023-02-12 20:36:57,334 >> loading file tokenizer_config.json from cache at None\n", - "[INFO|configuration_utils.py:660] 2023-02-12 20:36:57,334 >> loading configuration file config.json from cache at .cache_training/models--gpt2/snapshots/e7da7f221d5bf496a48136c0cd264e630fe9fcc8/config.json\n", - "[INFO|configuration_utils.py:712] 2023-02-12 20:36:57,335 >> Model config GPT2Config {\n", + "Downloading (…)olve/main/vocab.json: 100% 1.04M/1.04M [00:00<00:00, 9.19MB/s]\n", + "Downloading (…)olve/main/merges.txt: 100% 456k/456k [00:00<00:00, 4.93MB/s]\n", + "Downloading (…)/main/tokenizer.json: 100% 1.36M/1.36M [00:00<00:00, 11.9MB/s]\n", + "[INFO|tokenization_utils_base.py:1802] 2023-02-12 22:00:21,743 >> loading file vocab.json from cache at .cache_training/models--gpt2/snapshots/e7da7f221d5bf496a48136c0cd264e630fe9fcc8/vocab.json\n", + "[INFO|tokenization_utils_base.py:1802] 2023-02-12 22:00:21,743 >> loading file merges.txt from cache at .cache_training/models--gpt2/snapshots/e7da7f221d5bf496a48136c0cd264e630fe9fcc8/merges.txt\n", + "[INFO|tokenization_utils_base.py:1802] 2023-02-12 22:00:21,743 >> loading file tokenizer.json from cache at .cache_training/models--gpt2/snapshots/e7da7f221d5bf496a48136c0cd264e630fe9fcc8/tokenizer.json\n", + "[INFO|tokenization_utils_base.py:1802] 2023-02-12 22:00:21,744 >> loading file added_tokens.json from cache at None\n", + "[INFO|tokenization_utils_base.py:1802] 2023-02-12 22:00:21,744 >> loading file special_tokens_map.json from cache at None\n", + "[INFO|tokenization_utils_base.py:1802] 2023-02-12 22:00:21,744 >> loading file tokenizer_config.json from cache at None\n", + "[INFO|configuration_utils.py:660] 2023-02-12 22:00:21,744 >> loading configuration file config.json from cache at .cache_training/models--gpt2/snapshots/e7da7f221d5bf496a48136c0cd264e630fe9fcc8/config.json\n", + "[INFO|configuration_utils.py:712] 2023-02-12 22:00:21,745 >> Model config GPT2Config {\n", " \"_name_or_path\": \"gpt2\",\n", " \"activation_function\": \"gelu_new\",\n", " \"architectures\": [\n", @@ -5120,11 +1068,11 @@ "\n", "INFO:__main__:Using hidden states in model: True\n", "INFO:__main__:Using implementation from class: GPT2ForSequenceClassificationCustom\n", - "Downloading (…)\"pytorch_model.bin\";: 100% 548M/548M [00:02<00:00, 261MB/s]\n", - "[INFO|modeling_utils.py:2275] 2023-02-12 20:37:00,438 >> loading weights file pytorch_model.bin from cache at .cache_training/models--gpt2/snapshots/e7da7f221d5bf496a48136c0cd264e630fe9fcc8/pytorch_model.bin\n", - "[INFO|modeling_utils.py:2857] 2023-02-12 20:37:03,142 >> All model checkpoint weights were used when initializing GPT2ForSequenceClassificationCustom.\n", + "Downloading (…)\"pytorch_model.bin\";: 100% 548M/548M [00:05<00:00, 103MB/s]\n", + "[INFO|modeling_utils.py:2275] 2023-02-12 22:00:27,304 >> loading weights file pytorch_model.bin from cache at .cache_training/models--gpt2/snapshots/e7da7f221d5bf496a48136c0cd264e630fe9fcc8/pytorch_model.bin\n", + "[INFO|modeling_utils.py:2857] 2023-02-12 22:00:30,150 >> All model checkpoint weights were used when initializing GPT2ForSequenceClassificationCustom.\n", "\n", - "[WARNING|modeling_utils.py:2859] 2023-02-12 20:37:03,142 >> Some weights of GPT2ForSequenceClassificationCustom were not initialized from the model checkpoint at gpt2 and are newly initialized: ['score.dense_2.bias', 'score.out_proj.weight', 'score.dense_1_hidden.bias', 'score.dense_1_input.weight', 'score.dense_1_hidden.weight', 'score.dense_1_input.bias', 'score.dense_2.weight']\n", + "[WARNING|modeling_utils.py:2859] 2023-02-12 22:00:30,150 >> Some weights of GPT2ForSequenceClassificationCustom were not initialized from the model checkpoint at gpt2 and are newly initialized: ['score.dense_1_hidden.weight', 'score.dense_2.weight', 'score.out_proj.weight', 'score.dense_2.bias', 'score.dense_1_hidden.bias', 'score.dense_1_input.bias', 'score.dense_1_input.weight']\n", "You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n", "INFO:__main__:Freezing encoder weights\n", "INFO:__main__:Freezing layer 1\n", @@ -5282,107 +1230,107 @@ "INFO:__main__:Ignoring layer 153\n", "INFO:__main__:Ignoring layer 154\n", "INFO:__main__:Ignoring layer 155\n", - "[ERROR|tokenization_utils_base.py:1042] 2023-02-12 20:37:03,155 >> Using pad_token, but it is not set yet.\n", + "[ERROR|tokenization_utils_base.py:1042] 2023-02-12 22:00:30,162 >> Using pad_token, but it is not set yet.\n", "INFO:__main__:Set PAD token to EOS: <|endoftext|>\n", - "Running tokenizer on dataset: 0% 0/16 [00:00> The following columns in the training set don't have a corresponding argument in `GPT2ForSequenceClassificationCustom.forward` and have been ignored: text. If text are not expected by `GPT2ForSequenceClassificationCustom.forward`, you can safely ignore this message.\n", + "Downloading builder script: 100% 4.20k/4.20k [00:00<00:00, 4.82MB/s]\n", + "[INFO|trainer.py:710] 2023-02-12 22:00:38,984 >> The following columns in the training set don't have a corresponding argument in `GPT2ForSequenceClassificationCustom.forward` and have been ignored: text. If text are not expected by `GPT2ForSequenceClassificationCustom.forward`, you can safely ignore this message.\n", "/usr/local/lib/python3.8/dist-packages/transformers/optimization.py:306: FutureWarning: This implementation of AdamW is deprecated and will be removed in a future version. Use the PyTorch implementation torch.optim.AdamW instead, or set `no_deprecation_warning=True` to disable this warning\n", " warnings.warn(\n", - "[INFO|trainer.py:1650] 2023-02-12 20:37:12,747 >> ***** Running training *****\n", - "[INFO|trainer.py:1651] 2023-02-12 20:37:12,747 >> Num examples = 16000\n", - "[INFO|trainer.py:1652] 2023-02-12 20:37:12,748 >> Num Epochs = 5\n", - "[INFO|trainer.py:1653] 2023-02-12 20:37:12,748 >> Instantaneous batch size per device = 24\n", - "[INFO|trainer.py:1654] 2023-02-12 20:37:12,748 >> Total train batch size (w. parallel, distributed & accumulation) = 24\n", - "[INFO|trainer.py:1655] 2023-02-12 20:37:12,748 >> Gradient Accumulation steps = 1\n", - "[INFO|trainer.py:1656] 2023-02-12 20:37:12,748 >> Total optimization steps = 3335\n", - "[INFO|trainer.py:1657] 2023-02-12 20:37:12,749 >> Number of trainable parameters = 68517888\n", + "[INFO|trainer.py:1650] 2023-02-12 22:00:38,993 >> ***** Running training *****\n", + "[INFO|trainer.py:1651] 2023-02-12 22:00:38,993 >> Num examples = 16000\n", + "[INFO|trainer.py:1652] 2023-02-12 22:00:38,993 >> Num Epochs = 5\n", + "[INFO|trainer.py:1653] 2023-02-12 22:00:38,993 >> Instantaneous batch size per device = 24\n", + "[INFO|trainer.py:1654] 2023-02-12 22:00:38,993 >> Total train batch size (w. parallel, distributed & accumulation) = 24\n", + "[INFO|trainer.py:1655] 2023-02-12 22:00:38,993 >> Gradient Accumulation steps = 1\n", + "[INFO|trainer.py:1656] 2023-02-12 22:00:38,993 >> Total optimization steps = 3335\n", + "[INFO|trainer.py:1657] 2023-02-12 22:00:38,994 >> Number of trainable parameters = 68517888\n", "{'loss': 1.0593, 'learning_rate': 1.7001499250374815e-05, 'epoch': 0.75}\n", - " 15% 500/3335 [03:54<22:04, 2.14it/s][INFO|trainer.py:2709] 2023-02-12 20:41:07,509 >> Saving model checkpoint to out/imdb-5k/gpt2/checkpoint-500\n", - "[INFO|configuration_utils.py:453] 2023-02-12 20:41:07,510 >> Configuration saved in out/imdb-5k/gpt2/checkpoint-500/config.json\n", - "[INFO|modeling_utils.py:1704] 2023-02-12 20:41:09,283 >> Model weights saved in out/imdb-5k/gpt2/checkpoint-500/pytorch_model.bin\n", - "[INFO|tokenization_utils_base.py:2160] 2023-02-12 20:41:09,284 >> tokenizer config file saved in out/imdb-5k/gpt2/checkpoint-500/tokenizer_config.json\n", - "[INFO|tokenization_utils_base.py:2167] 2023-02-12 20:41:09,284 >> Special tokens file saved in out/imdb-5k/gpt2/checkpoint-500/special_tokens_map.json\n", + " 15% 500/3335 [04:16<24:04, 1.96it/s][INFO|trainer.py:2709] 2023-02-12 22:04:55,709 >> Saving model checkpoint to out/imdb-5k/gpt2/checkpoint-500\n", + "[INFO|configuration_utils.py:453] 2023-02-12 22:04:55,710 >> Configuration saved in out/imdb-5k/gpt2/checkpoint-500/config.json\n", + "[INFO|modeling_utils.py:1704] 2023-02-12 22:04:57,444 >> Model weights saved in out/imdb-5k/gpt2/checkpoint-500/pytorch_model.bin\n", + "[INFO|tokenization_utils_base.py:2160] 2023-02-12 22:04:57,444 >> tokenizer config file saved in out/imdb-5k/gpt2/checkpoint-500/tokenizer_config.json\n", + "[INFO|tokenization_utils_base.py:2167] 2023-02-12 22:04:57,444 >> Special tokens file saved in out/imdb-5k/gpt2/checkpoint-500/special_tokens_map.json\n", "{'loss': 0.3829, 'learning_rate': 1.4002998500749626e-05, 'epoch': 1.5}\n", - " 30% 1000/3335 [07:52<18:11, 2.14it/s][INFO|trainer.py:2709] 2023-02-12 20:45:05,515 >> Saving model checkpoint to out/imdb-5k/gpt2/checkpoint-1000\n", - "[INFO|configuration_utils.py:453] 2023-02-12 20:45:05,516 >> Configuration saved in out/imdb-5k/gpt2/checkpoint-1000/config.json\n", - "[INFO|modeling_utils.py:1704] 2023-02-12 20:45:07,205 >> Model weights saved in out/imdb-5k/gpt2/checkpoint-1000/pytorch_model.bin\n", - "[INFO|tokenization_utils_base.py:2160] 2023-02-12 20:45:07,205 >> tokenizer config file saved in out/imdb-5k/gpt2/checkpoint-1000/tokenizer_config.json\n", - "[INFO|tokenization_utils_base.py:2167] 2023-02-12 20:45:07,205 >> Special tokens file saved in out/imdb-5k/gpt2/checkpoint-1000/special_tokens_map.json\n", + " 30% 1000/3335 [08:36<19:51, 1.96it/s][INFO|trainer.py:2709] 2023-02-12 22:09:15,813 >> Saving model checkpoint to out/imdb-5k/gpt2/checkpoint-1000\n", + "[INFO|configuration_utils.py:453] 2023-02-12 22:09:15,814 >> Configuration saved in out/imdb-5k/gpt2/checkpoint-1000/config.json\n", + "[INFO|modeling_utils.py:1704] 2023-02-12 22:09:17,628 >> Model weights saved in out/imdb-5k/gpt2/checkpoint-1000/pytorch_model.bin\n", + "[INFO|tokenization_utils_base.py:2160] 2023-02-12 22:09:17,629 >> tokenizer config file saved in out/imdb-5k/gpt2/checkpoint-1000/tokenizer_config.json\n", + "[INFO|tokenization_utils_base.py:2167] 2023-02-12 22:09:17,630 >> Special tokens file saved in out/imdb-5k/gpt2/checkpoint-1000/special_tokens_map.json\n", "{'loss': 0.256, 'learning_rate': 1.100449775112444e-05, 'epoch': 2.25}\n", - " 45% 1500/3335 [11:50<14:19, 2.13it/s][INFO|trainer.py:2709] 2023-02-12 20:49:03,661 >> Saving model checkpoint to out/imdb-5k/gpt2/checkpoint-1500\n", - "[INFO|configuration_utils.py:453] 2023-02-12 20:49:03,662 >> Configuration saved in out/imdb-5k/gpt2/checkpoint-1500/config.json\n", - "[INFO|modeling_utils.py:1704] 2023-02-12 20:49:05,330 >> Model weights saved in out/imdb-5k/gpt2/checkpoint-1500/pytorch_model.bin\n", - "[INFO|tokenization_utils_base.py:2160] 2023-02-12 20:49:05,331 >> tokenizer config file saved in out/imdb-5k/gpt2/checkpoint-1500/tokenizer_config.json\n", - "[INFO|tokenization_utils_base.py:2167] 2023-02-12 20:49:05,331 >> Special tokens file saved in out/imdb-5k/gpt2/checkpoint-1500/special_tokens_map.json\n", + " 45% 1500/3335 [12:56<15:43, 1.95it/s][INFO|trainer.py:2709] 2023-02-12 22:13:36,008 >> Saving model checkpoint to out/imdb-5k/gpt2/checkpoint-1500\n", + "[INFO|configuration_utils.py:453] 2023-02-12 22:13:36,009 >> Configuration saved in out/imdb-5k/gpt2/checkpoint-1500/config.json\n", + "[INFO|modeling_utils.py:1704] 2023-02-12 22:13:37,703 >> Model weights saved in out/imdb-5k/gpt2/checkpoint-1500/pytorch_model.bin\n", + "[INFO|tokenization_utils_base.py:2160] 2023-02-12 22:13:37,704 >> tokenizer config file saved in out/imdb-5k/gpt2/checkpoint-1500/tokenizer_config.json\n", + "[INFO|tokenization_utils_base.py:2167] 2023-02-12 22:13:37,704 >> Special tokens file saved in out/imdb-5k/gpt2/checkpoint-1500/special_tokens_map.json\n", "{'loss': 0.2101, 'learning_rate': 8.005997001499251e-06, 'epoch': 3.0}\n", - " 60% 2000/3335 [15:49<10:24, 2.14it/s][INFO|trainer.py:2709] 2023-02-12 20:53:01,805 >> Saving model checkpoint to out/imdb-5k/gpt2/checkpoint-2000\n", - "[INFO|configuration_utils.py:453] 2023-02-12 20:53:01,806 >> Configuration saved in out/imdb-5k/gpt2/checkpoint-2000/config.json\n", - "[INFO|modeling_utils.py:1704] 2023-02-12 20:53:03,476 >> Model weights saved in out/imdb-5k/gpt2/checkpoint-2000/pytorch_model.bin\n", - "[INFO|tokenization_utils_base.py:2160] 2023-02-12 20:53:03,476 >> tokenizer config file saved in out/imdb-5k/gpt2/checkpoint-2000/tokenizer_config.json\n", - "[INFO|tokenization_utils_base.py:2167] 2023-02-12 20:53:03,476 >> Special tokens file saved in out/imdb-5k/gpt2/checkpoint-2000/special_tokens_map.json\n", + " 60% 2000/3335 [17:17<11:23, 1.95it/s][INFO|trainer.py:2709] 2023-02-12 22:17:56,308 >> Saving model checkpoint to out/imdb-5k/gpt2/checkpoint-2000\n", + "[INFO|configuration_utils.py:453] 2023-02-12 22:17:56,309 >> Configuration saved in out/imdb-5k/gpt2/checkpoint-2000/config.json\n", + "[INFO|modeling_utils.py:1704] 2023-02-12 22:17:58,005 >> Model weights saved in out/imdb-5k/gpt2/checkpoint-2000/pytorch_model.bin\n", + "[INFO|tokenization_utils_base.py:2160] 2023-02-12 22:17:58,006 >> tokenizer config file saved in out/imdb-5k/gpt2/checkpoint-2000/tokenizer_config.json\n", + "[INFO|tokenization_utils_base.py:2167] 2023-02-12 22:17:58,006 >> Special tokens file saved in out/imdb-5k/gpt2/checkpoint-2000/special_tokens_map.json\n", "{'loss': 0.17, 'learning_rate': 5.0074962518740634e-06, 'epoch': 3.75}\n", - " 75% 2500/3335 [19:47<06:30, 2.14it/s][INFO|trainer.py:2709] 2023-02-12 20:56:59,823 >> Saving model checkpoint to out/imdb-5k/gpt2/checkpoint-2500\n", - "[INFO|configuration_utils.py:453] 2023-02-12 20:56:59,824 >> Configuration saved in out/imdb-5k/gpt2/checkpoint-2500/config.json\n", - "[INFO|modeling_utils.py:1704] 2023-02-12 20:57:01,504 >> Model weights saved in out/imdb-5k/gpt2/checkpoint-2500/pytorch_model.bin\n", - "[INFO|tokenization_utils_base.py:2160] 2023-02-12 20:57:01,505 >> tokenizer config file saved in out/imdb-5k/gpt2/checkpoint-2500/tokenizer_config.json\n", - "[INFO|tokenization_utils_base.py:2167] 2023-02-12 20:57:01,505 >> Special tokens file saved in out/imdb-5k/gpt2/checkpoint-2500/special_tokens_map.json\n", + " 75% 2500/3335 [21:37<07:05, 1.96it/s][INFO|trainer.py:2709] 2023-02-12 22:22:16,686 >> Saving model checkpoint to out/imdb-5k/gpt2/checkpoint-2500\n", + "[INFO|configuration_utils.py:453] 2023-02-12 22:22:16,687 >> Configuration saved in out/imdb-5k/gpt2/checkpoint-2500/config.json\n", + "[INFO|modeling_utils.py:1704] 2023-02-12 22:22:18,356 >> Model weights saved in out/imdb-5k/gpt2/checkpoint-2500/pytorch_model.bin\n", + "[INFO|tokenization_utils_base.py:2160] 2023-02-12 22:22:18,357 >> tokenizer config file saved in out/imdb-5k/gpt2/checkpoint-2500/tokenizer_config.json\n", + "[INFO|tokenization_utils_base.py:2167] 2023-02-12 22:22:18,357 >> Special tokens file saved in out/imdb-5k/gpt2/checkpoint-2500/special_tokens_map.json\n", "{'loss': 0.1569, 'learning_rate': 2.008995502248876e-06, 'epoch': 4.5}\n", - " 90% 3000/3335 [23:44<02:36, 2.14it/s][INFO|trainer.py:2709] 2023-02-12 21:00:57,746 >> Saving model checkpoint to out/imdb-5k/gpt2/checkpoint-3000\n", - "[INFO|configuration_utils.py:453] 2023-02-12 21:00:57,747 >> Configuration saved in out/imdb-5k/gpt2/checkpoint-3000/config.json\n", - "[INFO|modeling_utils.py:1704] 2023-02-12 21:00:59,386 >> Model weights saved in out/imdb-5k/gpt2/checkpoint-3000/pytorch_model.bin\n", - "[INFO|tokenization_utils_base.py:2160] 2023-02-12 21:00:59,387 >> tokenizer config file saved in out/imdb-5k/gpt2/checkpoint-3000/tokenizer_config.json\n", - "[INFO|tokenization_utils_base.py:2167] 2023-02-12 21:00:59,387 >> Special tokens file saved in out/imdb-5k/gpt2/checkpoint-3000/special_tokens_map.json\n", - "100% 3335/3335 [26:25<00:00, 2.36it/s][INFO|trainer.py:1901] 2023-02-12 21:03:38,497 >> \n", + " 90% 3000/3335 [25:57<02:51, 1.95it/s][INFO|trainer.py:2709] 2023-02-12 22:26:36,938 >> Saving model checkpoint to out/imdb-5k/gpt2/checkpoint-3000\n", + "[INFO|configuration_utils.py:453] 2023-02-12 22:26:36,939 >> Configuration saved in out/imdb-5k/gpt2/checkpoint-3000/config.json\n", + "[INFO|modeling_utils.py:1704] 2023-02-12 22:26:38,608 >> Model weights saved in out/imdb-5k/gpt2/checkpoint-3000/pytorch_model.bin\n", + "[INFO|tokenization_utils_base.py:2160] 2023-02-12 22:26:38,608 >> tokenizer config file saved in out/imdb-5k/gpt2/checkpoint-3000/tokenizer_config.json\n", + "[INFO|tokenization_utils_base.py:2167] 2023-02-12 22:26:38,608 >> Special tokens file saved in out/imdb-5k/gpt2/checkpoint-3000/special_tokens_map.json\n", + "100% 3335/3335 [28:53<00:00, 2.15it/s][INFO|trainer.py:1901] 2023-02-12 22:29:32,259 >> \n", "\n", "Training completed. Do not forget to share your model on huggingface.co/models =)\n", "\n", "\n", - "{'train_runtime': 1585.7622, 'train_samples_per_second': 50.449, 'train_steps_per_second': 2.103, 'train_loss': 0.35007504373118614, 'epoch': 5.0}\n", - "100% 3335/3335 [26:25<00:00, 2.10it/s]\n", - "[INFO|trainer.py:2709] 2023-02-12 21:03:38,514 >> Saving model checkpoint to out/imdb-5k/gpt2\n", - "[INFO|configuration_utils.py:453] 2023-02-12 21:03:38,515 >> Configuration saved in out/imdb-5k/gpt2/config.json\n", - "[INFO|modeling_utils.py:1704] 2023-02-12 21:03:40,135 >> Model weights saved in out/imdb-5k/gpt2/pytorch_model.bin\n", - "[INFO|tokenization_utils_base.py:2160] 2023-02-12 21:03:40,136 >> tokenizer config file saved in out/imdb-5k/gpt2/tokenizer_config.json\n", - "[INFO|tokenization_utils_base.py:2167] 2023-02-12 21:03:40,136 >> Special tokens file saved in out/imdb-5k/gpt2/special_tokens_map.json\n", + "{'train_runtime': 1733.281, 'train_samples_per_second': 46.155, 'train_steps_per_second': 1.924, 'train_loss': 0.35007504373118614, 'epoch': 5.0}\n", + "100% 3335/3335 [28:53<00:00, 1.92it/s]\n", + "[INFO|trainer.py:2709] 2023-02-12 22:29:32,277 >> Saving model checkpoint to out/imdb-5k/gpt2\n", + "[INFO|configuration_utils.py:453] 2023-02-12 22:29:32,278 >> Configuration saved in out/imdb-5k/gpt2/config.json\n", + "[INFO|modeling_utils.py:1704] 2023-02-12 22:29:33,934 >> Model weights saved in out/imdb-5k/gpt2/pytorch_model.bin\n", + "[INFO|tokenization_utils_base.py:2160] 2023-02-12 22:29:33,934 >> tokenizer config file saved in out/imdb-5k/gpt2/tokenizer_config.json\n", + "[INFO|tokenization_utils_base.py:2167] 2023-02-12 22:29:33,934 >> Special tokens file saved in out/imdb-5k/gpt2/special_tokens_map.json\n", "***** train metrics *****\n", " epoch = 5.0\n", " train_loss = 0.3501\n", - " train_runtime = 0:26:25.76\n", + " train_runtime = 0:28:53.28\n", " train_samples = 16000\n", - " train_samples_per_second = 50.449\n", - " train_steps_per_second = 2.103\n", + " train_samples_per_second = 46.155\n", + " train_steps_per_second = 1.924\n", "INFO:__main__:*** Evaluate ***\n", - "[INFO|trainer.py:710] 2023-02-12 21:03:40,251 >> The following columns in the evaluation set don't have a corresponding argument in `GPT2ForSequenceClassificationCustom.forward` and have been ignored: text. If text are not expected by `GPT2ForSequenceClassificationCustom.forward`, you can safely ignore this message.\n", - "[INFO|trainer.py:2964] 2023-02-12 21:03:40,336 >> ***** Running Evaluation *****\n", - "[INFO|trainer.py:2966] 2023-02-12 21:03:40,336 >> Num examples = 637\n", - "[INFO|trainer.py:2969] 2023-02-12 21:03:40,337 >> Batch size = 24\n", - "100% 27/27 [00:04<00:00, 5.63it/s]\n", + "[INFO|trainer.py:710] 2023-02-12 22:29:34,047 >> The following columns in the evaluation set don't have a corresponding argument in `GPT2ForSequenceClassificationCustom.forward` and have been ignored: text. If text are not expected by `GPT2ForSequenceClassificationCustom.forward`, you can safely ignore this message.\n", + "[INFO|trainer.py:2964] 2023-02-12 22:29:34,108 >> ***** Running Evaluation *****\n", + "[INFO|trainer.py:2966] 2023-02-12 22:29:34,108 >> Num examples = 2000\n", + "[INFO|trainer.py:2969] 2023-02-12 22:29:34,108 >> Batch size = 24\n", + "100% 84/84 [00:17<00:00, 4.83it/s]\n", "***** eval metrics *****\n", " epoch = 5.0\n", - " eval_accuracy = 0.9498\n", - " eval_loss = 0.1357\n", - " eval_runtime = 0:00:05.07\n", - " eval_samples = 637\n", - " eval_samples_per_second = 125.597\n", - " eval_steps_per_second = 5.324\n", + " eval_accuracy = 0.93\n", + " eval_loss = 0.1531\n", + " eval_runtime = 0:00:17.72\n", + " eval_samples = 2000\n", + " eval_samples_per_second = 112.855\n", + " eval_steps_per_second = 4.74\n", "INFO:__main__:*** Predict ***\n", - "[INFO|trainer.py:710] 2023-02-12 21:03:45,413 >> The following columns in the test set don't have a corresponding argument in `GPT2ForSequenceClassificationCustom.forward` and have been ignored: text. If text are not expected by `GPT2ForSequenceClassificationCustom.forward`, you can safely ignore this message.\n", - "[INFO|trainer.py:2964] 2023-02-12 21:03:45,415 >> ***** Running Prediction *****\n", - "[INFO|trainer.py:2966] 2023-02-12 21:03:45,415 >> Num examples = 639\n", - "[INFO|trainer.py:2969] 2023-02-12 21:03:45,415 >> Batch size = 24\n", - "100% 27/27 [00:04<00:00, 5.62it/s]\n", + "[INFO|trainer.py:710] 2023-02-12 22:29:51,834 >> The following columns in the test set don't have a corresponding argument in `GPT2ForSequenceClassificationCustom.forward` and have been ignored: text. If text are not expected by `GPT2ForSequenceClassificationCustom.forward`, you can safely ignore this message.\n", + "[INFO|trainer.py:2964] 2023-02-12 22:29:51,836 >> ***** Running Prediction *****\n", + "[INFO|trainer.py:2966] 2023-02-12 22:29:51,836 >> Num examples = 2000\n", + "[INFO|trainer.py:2969] 2023-02-12 22:29:51,836 >> Batch size = 24\n", + "100% 84/84 [00:17<00:00, 4.81it/s]\n", "INFO:__main__:***** Predict results None *****\n", - "[INFO|modelcard.py:449] 2023-02-12 21:03:51,543 >> Dropping the following result as it does not have all the necessary fields:\n", - "{'task': {'name': 'Text Classification', 'type': 'text-classification'}, 'metrics': [{'name': 'Accuracy', 'type': 'accuracy', 'value': 0.9497645497322083}]}\n" + "[INFO|modelcard.py:449] 2023-02-12 22:30:09,657 >> Dropping the following result as it does not have all the necessary fields:\n", + "{'task': {'name': 'Text Classification', 'type': 'text-classification'}, 'metrics': [{'name': 'Accuracy', 'type': 'accuracy', 'value': 0.9300000071525574}]}\n" ] } ]