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{"cells":[{"cell_type":"code","execution_count":24,"metadata":{"id":"2EhBe2Kq5zLQ","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1708417214491,"user_tz":0,"elapsed":1928,"user":{"displayName":"F Xu","userId":"09663922277527295904"}},"outputId":"7e079d89-e31b-4358-8fb5-d375bb38ca2a"},"outputs":[{"output_type":"stream","name":"stdout","text":["Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n","/content/drive/MyDrive/Gdrive_PhD/20240106_oneRel_code/OneRel\n"]}],"source":["from google.colab import drive\n","drive.mount('/content/drive')\n","\n","%cd /content/drive/MyDrive/Gdrive_PhD/20240106_oneRel_code/OneRel\n"]},{"cell_type":"code","execution_count":25,"metadata":{"id":"G5Vte9UJ7-d4","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1708417214828,"user_tz":0,"elapsed":341,"user":{"displayName":"F Xu","userId":"09663922277527295904"}},"outputId":"af795593-e63a-461b-b328-869c17724781"},"outputs":[{"output_type":"stream","name":"stdout","text":["this is a one off code\n","check_input.py\tdata_loader.py\tinspect_input.py oneRel_config.py requirements.txt utils\n","checkpoint\tdebug\t\tjobscript_colab pre_trained_bert result\t venv\n","config\t\tframework\tlog\t\t __pycache__\t test.py\n","data\t\timg\t\tmodels\t\t README.md\t train.py\n","/content/drive/MyDrive/Gdrive_PhD/20240106_oneRel_code/OneRel\n"]}],"source":["#%cd pre_trained_bert/\n","#!ls\n","#!git lfs install\n","#!git clone https://huggingface.co/allenai/scibert_scivocab_cased\n","!echo \"this is a one off code\"\n","#!mv scibert_scivocab_cased/* .\n","!ls\n","\n","%cd /content/drive/MyDrive/Gdrive_PhD/20240106_oneRel_code/OneRel\n"]},{"cell_type":"code","execution_count":26,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"udWhdc706dC_","executionInfo":{"status":"ok","timestamp":1708417239358,"user_tz":0,"elapsed":24531,"user":{"displayName":"F Xu","userId":"09663922277527295904"}},"outputId":"2239da95-aaba-468b-e64f-f31f981370fd"},"outputs":[{"output_type":"stream","name":"stdout","text":["Requirement already satisfied: sphinxcontrib-htmlhelp==2.0.5 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 1)) (2.0.5)\n","Requirement already satisfied: sphinxcontrib-jsmath==1.0.1 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 2)) (1.0.1)\n","Requirement already satisfied: sphinxcontrib-qthelp==1.0.7 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 3)) (1.0.7)\n","Requirement already satisfied: sphinxcontrib-serializinghtml==1.1.10 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 4)) (1.1.10)\n","Requirement already satisfied: SQLAlchemy==2.0.24 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 5)) (2.0.24)\n","Requirement already satisfied: sqlglot==19.9.0 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 6)) (19.9.0)\n","Requirement already satisfied: sqlparse==0.4.4 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 7)) (0.4.4)\n","Requirement already satisfied: srsly==2.4.8 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 8)) (2.4.8)\n","Requirement already satisfied: stanio==0.3.0 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 9)) (0.3.0)\n","Requirement already satisfied: statsmodels==0.14.1 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 10)) (0.14.1)\n","Requirement already satisfied: sympy==1.12 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 11)) (1.12)\n","Requirement already satisfied: tables==3.8.0 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 12)) (3.8.0)\n","Requirement already satisfied: tabulate==0.9.0 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 13)) (0.9.0)\n","Requirement already satisfied: tbb==2021.11.0 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 14)) (2021.11.0)\n","Requirement already satisfied: tblib==3.0.0 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 15)) (3.0.0)\n","Requirement already satisfied: tenacity==8.2.3 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 16)) (8.2.3)\n","Requirement already satisfied: tensorboard==2.15.1 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 17)) (2.15.1)\n","Requirement already satisfied: tensorboard-data-server==0.7.2 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 18)) (0.7.2)\n","Requirement already satisfied: tensorflow==2.15.0 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 19)) (2.15.0)\n","Requirement already satisfied: tensorflow-datasets==4.9.4 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 20)) (4.9.4)\n","Requirement already satisfied: tensorflow-estimator==2.15.0 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 21)) (2.15.0)\n","Requirement already satisfied: tensorflow-gcs-config==2.15.0 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 22)) (2.15.0)\n","Requirement already satisfied: tensorflow-hub==0.16.0 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 23)) (0.16.0)\n","Requirement already satisfied: tensorflow-io-gcs-filesystem==0.35.0 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 24)) (0.35.0)\n","Requirement already satisfied: tensorflow-metadata==1.14.0 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 25)) (1.14.0)\n","Requirement already satisfied: tensorflow-probability==0.22.0 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 26)) (0.22.0)\n","Requirement already satisfied: tensorstore==0.1.45 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 27)) (0.1.45)\n","Requirement already satisfied: termcolor==2.4.0 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 28)) (2.4.0)\n","Requirement already satisfied: terminado==0.18.0 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 29)) (0.18.0)\n","Requirement already satisfied: text-unidecode==1.3 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 30)) (1.3)\n","Requirement already satisfied: textblob==0.17.1 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 31)) (0.17.1)\n","Requirement already satisfied: tf-slim==1.1.0 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 32)) (1.1.0)\n","Requirement already satisfied: thinc==8.1.12 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 33)) (8.1.12)\n","Requirement already satisfied: threadpoolctl==3.2.0 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 34)) (3.2.0)\n","Requirement already satisfied: tifffile==2023.12.9 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 35)) (2023.12.9)\n","Requirement already satisfied: tinycss2==1.2.1 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 36)) (1.2.1)\n","Requirement already satisfied: tokenizers==0.15.1 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 37)) (0.15.1)\n","Requirement already satisfied: toml==0.10.2 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 38)) (0.10.2)\n","Requirement already satisfied: tomli==2.0.1 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 39)) (2.0.1)\n","Requirement already satisfied: toolz==0.12.1 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 40)) (0.12.1)\n","Requirement already satisfied: torch==2.1.0+cu121 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 41)) (2.1.0+cu121)\n","Requirement already satisfied: torchaudio==2.1.0+cu121 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 42)) (2.1.0+cu121)\n","Requirement already satisfied: torchdata==0.7.0 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 43)) (0.7.0)\n","Requirement already satisfied: torchsummary==1.5.1 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 44)) (1.5.1)\n","Requirement already satisfied: torchtext==0.16.0 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 45)) (0.16.0)\n","Requirement already satisfied: torchvision==0.16.0+cu121 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 46)) (0.16.0+cu121)\n","Requirement already satisfied: tornado==6.3.2 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 47)) (6.3.2)\n","Requirement already satisfied: tqdm==4.66.1 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 48)) (4.66.1)\n","Requirement already satisfied: traitlets==5.7.1 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 49)) (5.7.1)\n","Requirement already satisfied: traittypes==0.2.1 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 50)) (0.2.1)\n","Requirement already satisfied: transformers==4.35.2 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 51)) (4.35.2)\n","Requirement already satisfied: triton==2.1.0 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 52)) (2.1.0)\n","Requirement already satisfied: tweepy==4.14.0 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 53)) (4.14.0)\n","Requirement already satisfied: typer==0.9.0 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 54)) (0.9.0)\n","Requirement already satisfied: types-pytz==2023.3.1.1 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 55)) (2023.3.1.1)\n","Requirement already satisfied: types-setuptools==69.0.0.20240125 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 56)) (69.0.0.20240125)\n","Requirement already satisfied: typing_extensions==4.5.0 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 57)) (4.5.0)\n","Requirement already satisfied: tzlocal==5.2 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 58)) (5.2)\n","Requirement already satisfied: uc-micro-py==1.0.2 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 59)) (1.0.2)\n","Requirement already satisfied: uritemplate==4.1.1 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 60)) (4.1.1)\n","Requirement already satisfied: urllib3==2.0.7 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 61)) (2.0.7)\n","Requirement already satisfied: vega-datasets==0.9.0 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 62)) (0.9.0)\n","Requirement already satisfied: wadllib==1.3.6 in /usr/lib/python3/dist-packages (from -r requirements.txt (line 63)) (1.3.6)\n","Requirement already satisfied: wasabi==1.1.2 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 64)) (1.1.2)\n","Requirement already satisfied: wcwidth==0.2.13 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 65)) (0.2.13)\n","Requirement already satisfied: webcolors==1.13 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 66)) (1.13)\n","Requirement already satisfied: webencodings==0.5.1 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 67)) (0.5.1)\n","Requirement already satisfied: websocket-client==1.7.0 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 68)) (1.7.0)\n","Requirement already satisfied: Werkzeug==3.0.1 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 69)) (3.0.1)\n","Requirement already satisfied: wheel==0.42.0 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 70)) (0.42.0)\n","Requirement already satisfied: widgetsnbextension==3.6.6 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 71)) (3.6.6)\n","Requirement already satisfied: wordcloud==1.9.3 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 72)) (1.9.3)\n","Requirement already satisfied: wrapt==1.14.1 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 73)) (1.14.1)\n","Requirement already satisfied: xarray==2023.7.0 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 74)) (2023.7.0)\n","Requirement already satisfied: xarray-einstats==0.7.0 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 75)) (0.7.0)\n","Requirement already satisfied: xgboost==2.0.3 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 76)) (2.0.3)\n","Requirement already satisfied: xlrd==2.0.1 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 77)) (2.0.1)\n","Requirement already satisfied: xxhash==3.4.1 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 78)) (3.4.1)\n","Requirement already satisfied: xyzservices==2023.10.1 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 79)) (2023.10.1)\n","Requirement already satisfied: yarl==1.9.4 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 80)) (1.9.4)\n","Requirement already satisfied: yellowbrick==1.5 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 81)) (1.5)\n","Requirement already satisfied: yfinance==0.2.36 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 82)) (0.2.36)\n","Requirement already satisfied: zict==3.0.0 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 83)) (3.0.0)\n","Requirement already satisfied: zipp==3.17.0 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 84)) (3.17.0)\n","Requirement already satisfied: greenlet!=0.4.17 in /usr/local/lib/python3.10/dist-packages (from SQLAlchemy==2.0.24->-r requirements.txt (line 5)) (3.0.3)\n","Requirement already satisfied: catalogue<2.1.0,>=2.0.3 in /usr/local/lib/python3.10/dist-packages (from srsly==2.4.8->-r requirements.txt (line 8)) (2.0.10)\n","Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from stanio==0.3.0->-r requirements.txt (line 9)) (1.25.2)\n","Requirement already satisfied: scipy!=1.9.2,>=1.4 in /usr/local/lib/python3.10/dist-packages (from statsmodels==0.14.1->-r requirements.txt (line 10)) (1.11.4)\n","Requirement already satisfied: pandas!=2.1.0,>=1.0 in /usr/local/lib/python3.10/dist-packages (from statsmodels==0.14.1->-r requirements.txt (line 10)) (1.5.3)\n","Requirement already satisfied: patsy>=0.5.4 in /usr/local/lib/python3.10/dist-packages (from statsmodels==0.14.1->-r requirements.txt (line 10)) (0.5.6)\n","Requirement already satisfied: packaging>=21.3 in /usr/local/lib/python3.10/dist-packages (from statsmodels==0.14.1->-r requirements.txt (line 10)) (23.2)\n","Requirement already satisfied: mpmath>=0.19 in /usr/local/lib/python3.10/dist-packages (from sympy==1.12->-r requirements.txt (line 11)) (1.3.0)\n","Requirement already satisfied: cython>=0.29.21 in /usr/local/lib/python3.10/dist-packages (from tables==3.8.0->-r requirements.txt (line 12)) (3.0.8)\n","Requirement already satisfied: numexpr>=2.6.2 in /usr/local/lib/python3.10/dist-packages (from tables==3.8.0->-r requirements.txt (line 12)) (2.9.0)\n","Requirement already satisfied: blosc2~=2.0.0 in /usr/local/lib/python3.10/dist-packages (from tables==3.8.0->-r requirements.txt (line 12)) (2.0.0)\n","Requirement already satisfied: py-cpuinfo in /usr/local/lib/python3.10/dist-packages (from tables==3.8.0->-r requirements.txt (line 12)) (9.0.0)\n","Requirement already satisfied: absl-py>=0.4 in /usr/local/lib/python3.10/dist-packages (from tensorboard==2.15.1->-r requirements.txt (line 17)) (1.4.0)\n","Requirement already satisfied: grpcio>=1.48.2 in /usr/local/lib/python3.10/dist-packages (from tensorboard==2.15.1->-r requirements.txt (line 17)) (1.60.1)\n","Requirement already satisfied: google-auth<3,>=1.6.3 in /usr/local/lib/python3.10/dist-packages (from tensorboard==2.15.1->-r requirements.txt (line 17)) (2.27.0)\n","Requirement already satisfied: google-auth-oauthlib<2,>=0.5 in /usr/local/lib/python3.10/dist-packages (from tensorboard==2.15.1->-r requirements.txt (line 17)) (1.2.0)\n","Requirement already satisfied: markdown>=2.6.8 in /usr/local/lib/python3.10/dist-packages (from tensorboard==2.15.1->-r requirements.txt (line 17)) (3.5.2)\n","Requirement already satisfied: protobuf<4.24,>=3.19.6 in /usr/local/lib/python3.10/dist-packages (from tensorboard==2.15.1->-r requirements.txt (line 17)) (3.20.3)\n","Requirement already satisfied: requests<3,>=2.21.0 in /usr/local/lib/python3.10/dist-packages (from tensorboard==2.15.1->-r requirements.txt (line 17)) (2.31.0)\n","Requirement already satisfied: setuptools>=41.0.0 in /usr/local/lib/python3.10/dist-packages (from tensorboard==2.15.1->-r requirements.txt (line 17)) (67.7.2)\n","Requirement already satisfied: six>1.9 in /usr/local/lib/python3.10/dist-packages (from tensorboard==2.15.1->-r requirements.txt (line 17)) (1.16.0)\n","Requirement already satisfied: astunparse>=1.6.0 in /usr/local/lib/python3.10/dist-packages (from tensorflow==2.15.0->-r requirements.txt (line 19)) (1.6.3)\n","Requirement already satisfied: flatbuffers>=23.5.26 in /usr/local/lib/python3.10/dist-packages (from tensorflow==2.15.0->-r requirements.txt (line 19)) (23.5.26)\n","Requirement already satisfied: gast!=0.5.0,!=0.5.1,!=0.5.2,>=0.2.1 in /usr/local/lib/python3.10/dist-packages (from tensorflow==2.15.0->-r requirements.txt (line 19)) (0.5.4)\n","Requirement already satisfied: google-pasta>=0.1.1 in /usr/local/lib/python3.10/dist-packages (from tensorflow==2.15.0->-r requirements.txt (line 19)) (0.2.0)\n","Requirement already satisfied: h5py>=2.9.0 in /usr/local/lib/python3.10/dist-packages (from tensorflow==2.15.0->-r requirements.txt (line 19)) (3.9.0)\n","Requirement already satisfied: libclang>=13.0.0 in /usr/local/lib/python3.10/dist-packages (from tensorflow==2.15.0->-r requirements.txt (line 19)) (16.0.6)\n","Requirement already satisfied: ml-dtypes~=0.2.0 in /usr/local/lib/python3.10/dist-packages (from tensorflow==2.15.0->-r requirements.txt (line 19)) (0.2.0)\n","Requirement already satisfied: opt-einsum>=2.3.2 in /usr/local/lib/python3.10/dist-packages (from tensorflow==2.15.0->-r requirements.txt (line 19)) (3.3.0)\n","Requirement already satisfied: keras<2.16,>=2.15.0 in /usr/local/lib/python3.10/dist-packages (from tensorflow==2.15.0->-r requirements.txt (line 19)) (2.15.0)\n","Requirement already satisfied: click in /usr/local/lib/python3.10/dist-packages (from tensorflow-datasets==4.9.4->-r requirements.txt (line 20)) (8.1.7)\n","Requirement already satisfied: dm-tree in /usr/local/lib/python3.10/dist-packages (from tensorflow-datasets==4.9.4->-r requirements.txt (line 20)) (0.1.8)\n","Requirement already satisfied: etils[enp,epath,etree]>=0.9.0 in /usr/local/lib/python3.10/dist-packages (from tensorflow-datasets==4.9.4->-r requirements.txt (line 20)) (1.6.0)\n","Requirement already satisfied: promise in /usr/local/lib/python3.10/dist-packages (from tensorflow-datasets==4.9.4->-r requirements.txt (line 20)) (2.3)\n","Requirement already satisfied: psutil in /usr/local/lib/python3.10/dist-packages (from tensorflow-datasets==4.9.4->-r requirements.txt (line 20)) (5.9.5)\n","Requirement already satisfied: array-record>=0.5.0 in /usr/local/lib/python3.10/dist-packages (from tensorflow-datasets==4.9.4->-r requirements.txt (line 20)) (0.5.0)\n","Requirement already satisfied: googleapis-common-protos<2,>=1.52.0 in /usr/local/lib/python3.10/dist-packages (from tensorflow-metadata==1.14.0->-r requirements.txt (line 25)) (1.62.0)\n","Requirement already satisfied: decorator in /usr/local/lib/python3.10/dist-packages (from tensorflow-probability==0.22.0->-r requirements.txt (line 26)) (4.4.2)\n","Requirement already satisfied: cloudpickle>=1.3 in /usr/local/lib/python3.10/dist-packages (from tensorflow-probability==0.22.0->-r requirements.txt (line 26)) (2.2.1)\n","Requirement already satisfied: ptyprocess in /usr/local/lib/python3.10/dist-packages (from terminado==0.18.0->-r requirements.txt (line 29)) (0.7.0)\n","Requirement already satisfied: nltk>=3.1 in /usr/local/lib/python3.10/dist-packages (from textblob==0.17.1->-r requirements.txt (line 31)) (3.8.1)\n","Requirement already satisfied: blis<0.8.0,>=0.7.8 in /usr/local/lib/python3.10/dist-packages (from thinc==8.1.12->-r requirements.txt (line 33)) (0.7.11)\n","Requirement already satisfied: murmurhash<1.1.0,>=1.0.2 in /usr/local/lib/python3.10/dist-packages (from thinc==8.1.12->-r requirements.txt (line 33)) (1.0.10)\n","Requirement already satisfied: cymem<2.1.0,>=2.0.2 in /usr/local/lib/python3.10/dist-packages (from thinc==8.1.12->-r requirements.txt (line 33)) (2.0.8)\n","Requirement already satisfied: preshed<3.1.0,>=3.0.2 in /usr/local/lib/python3.10/dist-packages (from thinc==8.1.12->-r requirements.txt (line 33)) (3.0.9)\n","Requirement already satisfied: 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keras-position-wise-feed-forward==0.8.0 in /usr/local/lib/python3.10/dist-packages (from keras-transformer==0.40.0->keras-bert) (0.8.0)\n","Requirement already satisfied: keras-embed-sim==0.10.0 in /usr/local/lib/python3.10/dist-packages (from keras-transformer==0.40.0->keras-bert) (0.10.0)\n","Requirement already satisfied: keras-self-attention==0.51.0 in /usr/local/lib/python3.10/dist-packages (from keras-multi-head==0.29.0->keras-transformer==0.40.0->keras-bert) (0.51.0)\n","Requirement already satisfied: sentencepiece in /usr/local/lib/python3.10/dist-packages (0.1.99)\n","Requirement already satisfied: print_color in /usr/local/lib/python3.10/dist-packages (0.4.6)\n"]}],"source":["\n","!pip install -r requirements.txt\n","!pip install keras-bert\n","!pip install sentencepiece\n","!pip install print_color"]},{"cell_type":"code","source":[],"metadata":{"id":"eEEBUHV-TvFO"},"execution_count":null,"outputs":[]},{"cell_type":"code","execution_count":33,"metadata":{"id":"BdhYNQUX7xw-","executionInfo":{"status":"ok","timestamp":1708422383747,"user_tz":0,"elapsed":3492345,"user":{"displayName":"F Xu","userId":"09663922277527295904"}},"colab":{"base_uri":"https://localhost:8080/"},"outputId":"179ddaf3-ee3a-4257-ad57-bfc3908869bf"},"outputs":[{"output_type":"stream","name":"stdout","text":["2024-02-20 08:48:13.784733: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n","2024-02-20 08:48:13.784789: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n","2024-02-20 08:48:13.786149: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n","2024-02-20 08:48:13.793664: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n","To enable the following instructions: AVX2 AVX512F FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n","2024-02-20 08:48:14.830381: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n","/usr/local/lib/python3.10/dist-packages/transformers/deepspeed.py:23: FutureWarning: transformers.deepspeed module is deprecated and will be removed in a future version. Please import deepspeed modules directly from transformers.integrations\n"," warnings.warn(\n","CUDA backend failed to initialize: Found CUDA version 12010, but JAX was built against version 12020, which is newer. The copy of CUDA that is installed must be at least as new as the version against which JAX was built. (Set TF_CPP_MIN_LOG_LEVEL=0 and rerun for more info.)\n","/usr/local/lib/python3.10/dist-packages/transformers/generation_utils.py:24: FutureWarning: Importing `GenerationMixin` from `src/transformers/generation_utils.py` is deprecated and will be removed in Transformers v5. Import as `from transformers import GenerationMixin` instead.\n"," warnings.warn(\n","/usr/local/lib/python3.10/dist-packages/transformers/generation_tf_utils.py:24: FutureWarning: Importing `TFGenerationMixin` from `src/transformers/generation_tf_utils.py` is deprecated and will be removed in Transformers v5. Import as `from transformers import TFGenerationMixin` instead.\n"," warnings.warn(\n","/usr/local/lib/python3.10/dist-packages/transformers/generation_flax_utils.py:24: FutureWarning: Importing `FlaxGenerationMixin` from `src/transformers/generation_flax_utils.py` is deprecated and will be removed in Transformers v5. Import as `from transformers import FlaxGenerationMixin` instead.\n"," warnings.warn(\n","2024-02-20 08:48:19.808158: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:901] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n","2024-02-20 08:48:19.815389: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:901] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n","2024-02-20 08:48:19.815600: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:901] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n","2024-02-20 08:48:19.816234: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:901] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n","2024-02-20 08:48:19.816426: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:901] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n","2024-02-20 08:48:19.816572: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:901] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n","2024-02-20 08:48:19.918932: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:901] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n","2024-02-20 08:48:19.919132: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:901] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n","2024-02-20 08:48:19.919266: W tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:47] Overriding orig_value setting because the TF_FORCE_GPU_ALLOW_GROWTH environment variable is set. Original config value was 0.\n","2024-02-20 08:48:19.919317: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:901] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n","2024-02-20 08:48:19.919453: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1929] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 13949 MB memory: -> device: 0, name: Tesla T4, pci bus id: 0000:00:04.0, compute capability: 7.5\n","Initialized bert_model_dir: None\n","Using bert_model_dir: None\n","make sure you have modified the model and model path in models/rel_model.py\n","loading configuration file ./pre_trained_bert/scibert_scivocab_cased/config.json\n","Model config BertConfig {\n"," \"attention_probs_dropout_prob\": 0.1,\n"," \"classifier_dropout\": null,\n"," \"hidden_act\": \"gelu\",\n"," \"hidden_dropout_prob\": 0.1,\n"," \"hidden_size\": 768,\n"," \"initializer_range\": 0.02,\n"," \"intermediate_size\": 3072,\n"," \"layer_norm_eps\": 1e-12,\n"," \"max_position_embeddings\": 512,\n"," \"model_type\": \"bert\",\n"," \"num_attention_heads\": 12,\n"," \"num_hidden_layers\": 12,\n"," \"pad_token_id\": 0,\n"," \"position_embedding_type\": \"absolute\",\n"," \"transformers_version\": \"4.35.2\",\n"," \"type_vocab_size\": 2,\n"," \"use_cache\": true,\n"," \"vocab_size\": 31116\n","}\n","\n","loading weights file ./pre_trained_bert/scibert_scivocab_cased/pytorch_model.bin\n","Some weights of the model checkpoint at ./pre_trained_bert/scibert_scivocab_cased were not used when initializing BertModel: ['cls.predictions.transform.LayerNorm.bias', 'cls.seq_relationship.bias', 'cls.predictions.transform.LayerNorm.weight', 'cls.predictions.transform.dense.bias', 'cls.predictions.bias', 'cls.predictions.transform.dense.weight', 'cls.seq_relationship.weight', 'cls.predictions.decoder.bias', 'cls.predictions.decoder.weight']\n","- This IS expected if you are initializing BertModel from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n","- This IS NOT expected if you are initializing BertModel from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n","All the weights of BertModel were initialized from the model checkpoint at ./pre_trained_bert/scibert_scivocab_cased.\n","If your task is similar to the task the model of the checkpoint was trained on, you can already use BertModel for predictions without further training.\n","\u001b[31m(array([ 101, 186, 1, 11417, 1, 125, 1, 8848, 1,\n"," 501, 1, 136, 1, 3784, 1, 6388, 1, 253,\n"," 1, 2763, 1, 2212, 1, 1181, 30123, 30168, 3468,\n"," 1, 8553, 1, 124, 1, 226, 30121, 1, 2534,\n"," 30124, 1, 1745, 1, 9443, 1, 202, 1, 19121,\n"," 1, 146, 1, 547, 1, 1086, 1, 8278, 1,\n"," 272, 1, 7654, 30177, 27118, 1, 111, 1, 1626,\n"," 1, 977, 1, 1005, 1, 125, 1, 1082, 1,\n"," 9443, 1, 193, 1, 111, 1, 977, 1, 987,\n"," 1, 125, 1, 306, 1, 1086, 30121, 1, 102]), array([1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n"," 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n"," 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n"," 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n"," 1, 1]), array([[1., 1., 1., ..., 1., 1., 1.],\n"," [1., 1., 1., ..., 1., 1., 1.],\n"," [1., 1., 1., ..., 1., 1., 1.],\n"," ...,\n"," [1., 1., 1., ..., 1., 1., 1.],\n"," [1., 1., 1., ..., 1., 1., 1.],\n"," [1., 1., 1., ..., 1., 1., 1.]]), 90, array([[[0., 0., 0., ..., 0., 0., 0.],\n"," [0., 0., 0., ..., 0., 0., 0.],\n"," [0., 0., 0., ..., 0., 0., 0.],\n"," ...,\n"," [0., 0., 0., ..., 0., 0., 0.],\n"," [0., 0., 0., ..., 0., 0., 0.],\n"," [0., 0., 0., ..., 0., 0., 0.]],\n","\n"," [[0., 0., 0., ..., 0., 0., 0.],\n"," [0., 0., 0., ..., 0., 0., 0.],\n"," [0., 0., 0., ..., 0., 0., 0.],\n"," ...,\n"," [0., 0., 0., ..., 0., 0., 0.],\n"," [0., 0., 0., ..., 0., 0., 0.],\n"," [0., 0., 0., ..., 0., 0., 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'/Operation/hasMeans/Means', 'affy'], ['raw data', '/Data/inputOf/Operation', 'normalization'], ['normalization', '/Operation/hasMeans/Means', 'affy']], ['[CLS]', 'The', '[unused1]', 'normalization', '[unused1]', 'of', '[unused1]', 'raw', '[unused1]', 'data', '[unused1]', 'and', '[unused1]', 'background', '[unused1]', 'correction', '[unused1]', 'was', '[unused1]', 'conducted', '[unused1]', 'via', '[unused1]', 'aff', '##y', '##[', '##9]', '[unused1]', 'package', '[unused1]', 'in', '[unused1]', 'R', '##.', '[unused1]', 'Moreover', '##,', '[unused1]', 'multiple', '[unused1]', 'probes', '[unused1]', 'that', '[unused1]', 'corresponded', '[unused1]', 'to', '[unused1]', 'one', '[unused1]', 'gene', '[unused1]', 'symbol', '[unused1]', 'were', '[unused1]', 'summarized', '##–', '##taking', '[unused1]', 'the', '[unused1]', 'average', '[unused1]', 'expression', '[unused1]', 'values', '[unused1]', 'of', '[unused1]', 'those', '[unused1]', 'probes', '[unused1]', 'as', '[unused1]', 'the', '[unused1]', 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'of', '[unused1]', 'the', '[unused1]', 'number', '[unused1]', 'of', '[unused1]', 'studies', '[unused1]', 'comparing', '[unused1]', 'gene', '[unused1]', 'expression', '[unused1]', 'in', '[unused1]', 'normal', '[unused1]', 'prostate', '[unused1]', 'tissue', '[unused1]', 'with', '[unused1]', 'that', '[unused1]', 'of', '[unused1]', 'localized', '[unused1]', 'prostate', '[unused1]', 'tumor', '[unused1]', 'tissue', '[unused1]', '[12].', '[unused1]', '[SEP]'])\u001b[0m\n","total time 8.876089572906494\n","total time 1.4985365867614746\n","total time 0.25990796089172363\n","total time 3.0453388690948486\n","epoch: 4, step: 100, speed: 170.02ms/b, train loss: 4.331\n","total time 3.3622779846191406\n","total time 3.3813929557800293\n","total time 9.517282247543335\n","epoch: 7, step: 200, speed: 157.90ms/b, train loss: 0.174\n","total time 8.950820207595825\n","total time 5.332467555999756\n","epoch: 9, step: 300, speed: 163.14ms/b, train loss: 0.057\n","total time 12.261505126953125\n","total time 2.6954948902130127\n","epoch: 11, step: 400, speed: 160.24ms/b, train loss: 0.032\n","total time 6.665024042129517\n","total time 1.8105168342590332\n","total time 4.121892213821411\n","total time 2.887873649597168\n","epoch: 15, step: 500, speed: 168.67ms/b, train loss: 0.023\n","total time 9.184674263000488\n","total time 4.7340803146362305\n","epoch: 17, step: 600, speed: 145.16ms/b, train loss: 0.020\n","total time 11.727972507476807\n","epoch: 18, step: 700, speed: 158.01ms/b, train loss: 0.017\n","total time 11.816208124160767\n","epoch: 19, step: 800, speed: 152.43ms/b, train loss: 0.015\n","total time 10.84106183052063\n","total time 4.500201225280762\n","total time 1.1920928955078125e-06\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 0, predict_num: 0, gold_num: 51\n","epoch 21, eval time: 0.71s, f1: 0.000, precision: 0.000, recall: 0.000\n","total time 9.568723678588867\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 0, predict_num: 0, gold_num: 51\n","epoch 22, eval time: 0.74s, f1: 0.000, precision: 0.000, recall: 0.000\n","epoch: 23, step: 900, speed: 166.54ms/b, train loss: 0.014\n","total time 10.738195657730103\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 0, predict_num: 0, gold_num: 51\n","epoch 23, eval time: 0.71s, f1: 0.000, precision: 0.000, recall: 0.000\n","total time 0.2248382568359375\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 0, predict_num: 0, gold_num: 51\n","epoch 24, eval time: 0.74s, f1: 0.000, precision: 0.000, recall: 0.000\n","epoch: 25, step: 1000, speed: 173.76ms/b, train loss: 0.015\n","total time 6.570549488067627\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 0, predict_num: 0, gold_num: 51\n","epoch 25, eval time: 0.73s, f1: 0.000, precision: 0.000, recall: 0.000\n","total time 8.05100417137146\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 0, predict_num: 0, gold_num: 51\n","epoch 26, eval time: 0.70s, f1: 0.000, precision: 0.000, recall: 0.000\n","epoch: 27, step: 1100, speed: 189.40ms/b, train loss: 0.014\n","total time 6.9793055057525635\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 0, predict_num: 0, gold_num: 51\n","epoch 27, eval time: 0.70s, f1: 0.000, precision: 0.000, recall: 0.000\n","total time 1.2181408405303955\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 0, predict_num: 0, gold_num: 51\n","epoch 28, eval time: 0.68s, f1: 0.000, precision: 0.000, recall: 0.000\n","total time 3.088226556777954\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 0, predict_num: 0, gold_num: 51\n","epoch 29, eval time: 0.69s, f1: 0.000, precision: 0.000, recall: 0.000\n","epoch: 30, step: 1200, speed: 180.51ms/b, train loss: 0.013\n","total time 12.078596830368042\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 0, predict_num: 0, gold_num: 51\n","epoch 30, eval time: 0.68s, f1: 0.000, precision: 0.000, recall: 0.000\n","total time 11.895485639572144\n"," Testing step 27 / 28, Please 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precision: 0.000, recall: 0.000\n","total time 1.0423917770385742\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 0, predict_num: 0, gold_num: 51\n","epoch 65, eval time: 0.68s, f1: 0.000, precision: 0.000, recall: 0.000\n","total time 3.4847233295440674\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 0, predict_num: 0, gold_num: 51\n","epoch 66, eval time: 0.69s, f1: 0.000, precision: 0.000, recall: 0.000\n","epoch: 67, step: 2800, speed: 184.36ms/b, train loss: 0.012\n","total time 10.98798394203186\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 0, predict_num: 0, gold_num: 51\n","epoch 67, eval time: 0.69s, f1: 0.000, precision: 0.000, recall: 0.000\n","total time 2.34578800201416\n"," Testing step 27 / 28, 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0.000\n","total time 3.5281693935394287\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 0, predict_num: 0, gold_num: 51\n","epoch 81, eval time: 0.68s, f1: 0.000, precision: 0.000, recall: 0.000\n","epoch: 82, step: 3400, speed: 192.88ms/b, train loss: 0.012\n","total time 12.086479902267456\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 0, predict_num: 0, gold_num: 51\n","epoch 82, eval time: 0.70s, f1: 0.000, precision: 0.000, recall: 0.000\n","epoch: 83, step: 3500, speed: 157.29ms/b, train loss: 0.012\n","total time 7.736252784729004\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 0, predict_num: 0, gold_num: 51\n","epoch 83, eval time: 0.69s, f1: 0.000, precision: 0.000, recall: 0.000\n","total time 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eval time: 0.77s, f1: 0.000, precision: 0.000, recall: 0.000\n","epoch: 94, step: 3900, speed: 197.35ms/b, train loss: 0.012\n","total time 12.317945957183838\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 0, predict_num: 0, gold_num: 51\n","epoch 94, eval time: 0.69s, f1: 0.000, precision: 0.000, recall: 0.000\n","epoch: 95, step: 4000, speed: 171.91ms/b, train loss: 0.013\n","total time 11.78073763847351\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 0, predict_num: 0, gold_num: 51\n","epoch 95, eval time: 0.67s, f1: 0.000, precision: 0.000, recall: 0.000\n","epoch: 96, step: 4100, speed: 160.78ms/b, train loss: 0.013\n","total time 10.503636121749878\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 0, 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0.000, recall: 0.000\n","total time 5.6445019245147705\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 0, predict_num: 0, gold_num: 51\n","epoch 100, eval time: 0.68s, f1: 0.000, precision: 0.000, recall: 0.000\n","total time 5.664310693740845\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 0, predict_num: 0, gold_num: 51\n","epoch 101, eval time: 0.69s, f1: 0.000, precision: 0.000, recall: 0.000\n","epoch: 102, step: 4300, speed: 182.12ms/b, train loss: 0.013\n","total time 5.382413864135742\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 0, predict_num: 0, gold_num: 51\n","epoch 102, eval time: 0.68s, f1: 0.000, precision: 0.000, recall: 0.000\n","total time 2.4426372051239014\n"," Testing step 27 / 28, Please 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eval time: 0.68s, f1: 0.000, precision: 0.000, recall: 0.000\n","epoch: 131, step: 5300, speed: 192.39ms/b, train loss: 0.012\n","total time 0.38185644149780273\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 0, predict_num: 0, gold_num: 51\n","epoch 131, eval time: 0.70s, f1: 0.000, precision: 0.000, recall: 0.000\n","total time 1.2209808826446533\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 0, predict_num: 0, gold_num: 51\n","epoch 132, eval time: 0.69s, f1: 0.000, precision: 0.000, recall: 0.000\n","total time 1.6435985565185547\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 0, predict_num: 0, gold_num: 51\n","epoch 133, eval time: 0.79s, f1: 0.000, precision: 0.000, recall: 0.000\n","total time 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0.000, precision: 0.000, recall: 0.000\n","total time 0.602308988571167\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 0, predict_num: 0, gold_num: 51\n","epoch 141, eval time: 0.70s, f1: 0.000, precision: 0.000, recall: 0.000\n","total time 0.46515679359436035\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 0, predict_num: 0, gold_num: 51\n","epoch 142, eval time: 0.69s, f1: 0.000, precision: 0.000, recall: 0.000\n","epoch: 143, step: 5500, speed: 203.44ms/b, train loss: 0.012\n","total time 7.617037773132324\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 0, predict_num: 0, gold_num: 51\n","epoch 143, eval time: 0.67s, f1: 0.000, precision: 0.000, recall: 0.000\n","total time 1.430511474609375e-06\n"," 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time 5.896579742431641\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 3, predict_num: 13, gold_num: 51\n","epoch 171, eval time: 0.70s, f1: 0.094, precision: 0.231, recall: 0.059\n","saving the model, epoch: 171, precision: 0.231, recall: 0.059, best f1: 0.094\n","total time 9.399982213973999\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 0, predict_num: 0, gold_num: 51\n","epoch 172, eval time: 0.77s, f1: 0.000, precision: 0.000, recall: 0.000\n","epoch: 173, step: 6900, speed: 206.58ms/b, train loss: 0.005\n","total time 1.4926929473876953\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 3, predict_num: 14, gold_num: 51\n","epoch 173, eval time: 0.78s, f1: 0.092, precision: 0.214, recall: 0.059\n","total time 12.300596237182617\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 1, predict_num: 2, gold_num: 51\n","epoch 174, eval time: 0.69s, f1: 0.038, precision: 0.500, recall: 0.020\n","total time 0.20738601684570312\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 1, predict_num: 2, gold_num: 51\n","epoch 175, eval time: 0.71s, f1: 0.038, precision: 0.500, recall: 0.020\n","epoch: 176, step: 7000, speed: 178.00ms/b, train loss: 0.006\n","total time 12.024477005004883\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 3, predict_num: 4, gold_num: 51\n","epoch 176, eval time: 0.70s, f1: 0.109, precision: 0.750, recall: 0.059\n","saving the model, epoch: 176, precision: 0.750, recall: 0.059, best f1: 0.109\n","total time 0.6616747379302979\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 1, predict_num: 4, gold_num: 51\n","epoch 177, eval time: 0.77s, f1: 0.036, precision: 0.250, recall: 0.020\n","epoch: 178, step: 7100, speed: 194.94ms/b, train loss: 0.005\n","total time 9.39308214187622\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 3, predict_num: 3, gold_num: 51\n","epoch 178, eval time: 0.77s, f1: 0.111, precision: 1.000, recall: 0.059\n","saving the model, epoch: 178, precision: 1.000, recall: 0.059, best f1: 0.111\n","total time 1.4544100761413574\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 4, predict_num: 10, gold_num: 51\n","epoch 179, eval time: 0.80s, f1: 0.131, precision: 0.400, recall: 0.078\n","saving the 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model, epoch: 182, precision: 0.500, recall: 0.078, best f1: 0.136\n","total time 1.430511474609375e-06\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 4, predict_num: 8, gold_num: 51\n","epoch 183, eval time: 0.83s, f1: 0.136, precision: 0.500, recall: 0.078\n","total time 2.179777145385742\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 5, predict_num: 7, gold_num: 51\n","epoch 184, eval time: 1.00s, f1: 0.172, precision: 0.714, recall: 0.098\n","saving the model, epoch: 184, precision: 0.714, recall: 0.098, best f1: 0.172\n","epoch: 185, step: 7300, speed: 229.83ms/b, train loss: 0.004\n","total time 6.297860145568848\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 5, predict_num: 6, gold_num: 51\n","epoch 185, eval time: 0.71s, f1: 0.175, precision: 0.833, recall: 0.098\n","saving the model, epoch: 185, precision: 0.833, recall: 0.098, best f1: 0.175\n","total time 2.8713974952697754\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 6, predict_num: 14, gold_num: 51\n","epoch 186, eval time: 0.71s, f1: 0.185, precision: 0.429, recall: 0.118\n","saving the model, epoch: 186, precision: 0.429, recall: 0.118, best f1: 0.185\n","total time 4.42522406578064\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 6, predict_num: 12, gold_num: 51\n","epoch 187, eval time: 0.70s, f1: 0.190, precision: 0.500, recall: 0.118\n","saving the model, epoch: 187, precision: 0.500, recall: 0.118, best f1: 0.190\n","total time 4.918187856674194\n"," Testing step 27 / 28, Please 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f1: 0.247\n","total time 10.60891604423523\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 8, predict_num: 13, gold_num: 51\n","epoch 197, eval time: 0.78s, f1: 0.250, precision: 0.615, recall: 0.157\n","saving the model, epoch: 197, precision: 0.615, recall: 0.157, best f1: 0.250\n","epoch: 198, step: 7800, speed: 212.34ms/b, train loss: 0.003\n","total time 3.4334046840667725\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 10, predict_num: 19, gold_num: 51\n","epoch 198, eval time: 0.71s, f1: 0.286, precision: 0.526, recall: 0.196\n","saving the model, epoch: 198, precision: 0.526, recall: 0.196, best f1: 0.286\n","total time 4.835493326187134\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 11, predict_num: 28, gold_num: 51\n","epoch 199, eval time: 0.72s, f1: 0.278, precision: 0.393, recall: 0.216\n","total time 8.052319765090942\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 10, predict_num: 22, gold_num: 51\n","epoch 200, eval time: 0.70s, f1: 0.274, precision: 0.455, recall: 0.196\n","epoch: 201, step: 7900, speed: 248.00ms/b, train loss: 0.003\n","total time 4.620053052902222\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 13, predict_num: 38, gold_num: 51\n","epoch 201, eval time: 0.74s, f1: 0.292, precision: 0.342, recall: 0.255\n","saving the model, epoch: 201, precision: 0.342, recall: 0.255, best f1: 0.292\n","epoch: 202, step: 8000, speed: 183.02ms/b, train loss: 0.003\n","total time 12.646465063095093\n"," Testing step 27 / 28, Please 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train loss: 0.002\n","total time 8.360186338424683\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 13, predict_num: 25, gold_num: 51\n","epoch 205, eval time: 0.81s, f1: 0.342, precision: 0.520, recall: 0.255\n","saving the model, epoch: 205, precision: 0.520, recall: 0.255, best f1: 0.342\n","total time 7.239539861679077\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 9, predict_num: 13, gold_num: 51\n","epoch 206, eval time: 0.79s, f1: 0.281, precision: 0.692, recall: 0.176\n","epoch: 207, step: 8200, speed: 199.48ms/b, train loss: 0.002\n","total time 12.450584173202515\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 12, predict_num: 27, gold_num: 51\n","epoch 207, eval time: 0.71s, f1: 0.308, precision: 0.444, recall: 0.235\n","epoch: 208, step: 8300, speed: 165.24ms/b, train loss: 0.002\n","total time 12.482218265533447\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 15, predict_num: 27, gold_num: 51\n","epoch 208, eval time: 0.71s, f1: 0.385, precision: 0.556, recall: 0.294\n","saving the model, epoch: 208, precision: 0.556, recall: 0.294, best f1: 0.385\n","total time 2.976902723312378\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 13, predict_num: 22, gold_num: 51\n","epoch 209, eval time: 0.86s, f1: 0.356, precision: 0.591, recall: 0.255\n","total time 2.8249659538269043\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 13, predict_num: 22, gold_num: 51\n","epoch 210, eval time: 0.69s, f1: 0.356, precision: 0.591, recall: 0.255\n","total time 3.450289726257324\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 12, predict_num: 17, gold_num: 51\n","epoch 211, eval time: 0.79s, f1: 0.353, precision: 0.706, recall: 0.235\n","epoch: 212, step: 8400, speed: 220.71ms/b, train loss: 0.002\n","total time 12.28922724723816\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 12, predict_num: 23, gold_num: 51\n","epoch 212, eval time: 0.84s, f1: 0.324, precision: 0.522, recall: 0.235\n","total time 2.2316067218780518\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 12, predict_num: 21, gold_num: 51\n","epoch 213, eval time: 0.81s, f1: 0.333, precision: 0.571, recall: 0.235\n","epoch: 214, step: 8500, speed: 184.62ms/b, train loss: 0.002\n","total time 5.797319173812866\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 13, predict_num: 22, gold_num: 51\n","epoch 214, eval time: 0.69s, f1: 0.356, precision: 0.591, recall: 0.255\n","total time 1.3658947944641113\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 12, predict_num: 25, gold_num: 51\n","epoch 215, eval time: 0.70s, f1: 0.316, precision: 0.480, recall: 0.235\n","epoch: 216, step: 8600, speed: 170.50ms/b, train loss: 0.002\n","total time 10.281821727752686\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 13, predict_num: 18, gold_num: 51\n","epoch 216, eval time: 0.70s, f1: 0.377, precision: 0.722, recall: 0.255\n","total time 1.5600767135620117\n"," Testing step 27 / 28, Please 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51\n","epoch 220, eval time: 0.71s, f1: 0.329, precision: 0.412, recall: 0.275\n","total time 9.5367431640625e-07\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 14, predict_num: 34, gold_num: 51\n","epoch 221, eval time: 0.74s, f1: 0.329, precision: 0.412, recall: 0.275\n","epoch: 222, step: 8700, speed: 211.63ms/b, train loss: 0.002\n","total time 6.567025423049927\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 13, predict_num: 19, gold_num: 51\n","epoch 222, eval time: 0.70s, f1: 0.371, precision: 0.684, recall: 0.255\n","total time 8.765265226364136\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 15, predict_num: 27, gold_num: 51\n","epoch 223, eval time: 0.84s, f1: 0.385, precision: 0.556, recall: 0.294\n","total time 3.2319233417510986\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 12, predict_num: 19, gold_num: 51\n","epoch 224, eval time: 0.72s, f1: 0.343, precision: 0.632, recall: 0.235\n","epoch: 225, step: 8800, speed: 191.94ms/b, train loss: 0.001\n","total time 5.8327553272247314\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 11, predict_num: 21, gold_num: 51\n","epoch 225, eval time: 0.81s, f1: 0.306, precision: 0.524, recall: 0.216\n","epoch: 226, step: 8900, speed: 167.58ms/b, train loss: 0.002\n","total time 12.338208436965942\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 18, predict_num: 39, gold_num: 51\n","epoch 226, eval time: 0.82s, f1: 0.400, precision: 0.462, recall: 0.353\n","saving the model, epoch: 226, precision: 0.462, recall: 0.353, best f1: 0.400\n","total time 4.735090732574463\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 15, predict_num: 27, gold_num: 51\n","epoch 227, eval time: 0.68s, f1: 0.385, precision: 0.556, recall: 0.294\n","total time 4.51324462890625\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 14, predict_num: 23, gold_num: 51\n","epoch 228, eval time: 0.98s, f1: 0.378, precision: 0.609, recall: 0.275\n","total time 2.7164998054504395\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 15, predict_num: 24, gold_num: 51\n","epoch 229, eval time: 0.77s, f1: 0.400, precision: 0.625, recall: 0.294\n","saving the model, epoch: 229, precision: 0.625, recall: 0.294, best f1: 0.400\n","epoch: 230, step: 9000, speed: 257.60ms/b, train loss: 0.001\n","total time 6.38813853263855\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 17, predict_num: 29, gold_num: 51\n","epoch 230, eval time: 1.05s, f1: 0.425, precision: 0.586, recall: 0.333\n","saving the model, epoch: 230, precision: 0.586, recall: 0.333, best f1: 0.425\n","total time 2.244187593460083\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 17, predict_num: 32, gold_num: 51\n","epoch 231, eval time: 0.71s, f1: 0.410, precision: 0.531, recall: 0.333\n","total time 5.857436895370483\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 17, predict_num: 27, gold_num: 51\n","epoch 232, eval time: 0.94s, f1: 0.436, precision: 0.630, recall: 0.333\n","saving the model, epoch: 232, precision: 0.630, recall: 0.333, best f1: 0.436\n","total time 0.14514422416687012\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 17, predict_num: 27, gold_num: 51\n","epoch 233, eval time: 0.72s, f1: 0.436, precision: 0.630, recall: 0.333\n","total time 3.813117742538452\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 16, predict_num: 24, gold_num: 51\n","epoch 234, eval time: 0.74s, f1: 0.427, precision: 0.667, recall: 0.314\n","epoch: 235, step: 9100, speed: 252.83ms/b, train loss: 0.001\n","total time 10.607365846633911\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 16, predict_num: 29, gold_num: 51\n","epoch 235, eval time: 0.70s, f1: 0.400, precision: 0.552, recall: 0.314\n","total time 0.2279491424560547\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 16, predict_num: 28, gold_num: 51\n","epoch 236, eval time: 0.71s, f1: 0.405, precision: 0.571, recall: 0.314\n","total time 7.566135406494141\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 16, predict_num: 24, gold_num: 51\n","epoch 237, eval time: 0.72s, f1: 0.427, precision: 0.667, recall: 0.314\n","epoch: 238, step: 9200, speed: 197.49ms/b, train loss: 0.001\n","total time 12.04399585723877\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 15, predict_num: 19, gold_num: 51\n","epoch 238, eval time: 0.70s, f1: 0.429, precision: 0.789, recall: 0.294\n","total time 3.570413112640381\n"," Testing step 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loss: 0.001\n","total time 2.4403493404388428\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 15, predict_num: 23, gold_num: 51\n","epoch 242, eval time: 0.78s, f1: 0.405, precision: 0.652, recall: 0.294\n","total time 12.137980222702026\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 19, predict_num: 37, gold_num: 51\n","epoch 243, eval time: 0.82s, f1: 0.432, precision: 0.514, recall: 0.373\n","epoch: 244, step: 9500, speed: 187.05ms/b, train loss: 0.001\n","total time 5.565482139587402\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 19, predict_num: 32, gold_num: 51\n","epoch 244, eval time: 0.71s, f1: 0.458, precision: 0.594, recall: 0.373\n","total time 12.27790093421936\n"," Testing step 27 / 28, Please 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Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 21, predict_num: 42, gold_num: 51\n","epoch 254, eval time: 0.72s, f1: 0.452, precision: 0.500, recall: 0.412\n","total time 3.668632745742798\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 20, predict_num: 31, gold_num: 51\n","epoch 255, eval time: 0.71s, f1: 0.488, precision: 0.645, recall: 0.392\n","saving the model, epoch: 255, precision: 0.645, recall: 0.392, best f1: 0.488\n","total time 5.253422975540161\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 19, predict_num: 37, gold_num: 51\n","epoch 256, eval time: 0.68s, f1: 0.432, precision: 0.514, recall: 0.373\n","total time 0.9999217987060547\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 20, predict_num: 35, gold_num: 51\n","epoch 257, eval time: 0.80s, f1: 0.465, precision: 0.571, recall: 0.392\n","total time 2.745882034301758\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 16, predict_num: 23, gold_num: 51\n","epoch 258, eval time: 1.03s, f1: 0.432, precision: 0.696, recall: 0.314\n","epoch: 259, step: 10000, speed: 240.03ms/b, train loss: 0.001\n","total time 11.667473077774048\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 18, predict_num: 26, gold_num: 51\n","epoch 259, eval time: 0.80s, f1: 0.468, precision: 0.692, recall: 0.353\n","epoch: 260, step: 10100, speed: 163.10ms/b, train loss: 0.001\n","total time 7.0450122356414795\n"," Testing step 27 / 28, Please 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51\n","epoch 275, eval time: 0.72s, f1: 0.447, precision: 0.680, recall: 0.333\n","epoch: 276, step: 10700, speed: 195.32ms/b, train loss: 0.001\n","total time 4.4955735206604\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 18, predict_num: 31, gold_num: 51\n","epoch 276, eval time: 0.80s, f1: 0.439, precision: 0.581, recall: 0.353\n","total time 6.724604606628418\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 19, predict_num: 33, gold_num: 51\n","epoch 277, eval time: 0.78s, f1: 0.452, precision: 0.576, recall: 0.373\n","total time 3.8633475303649902\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 18, predict_num: 31, gold_num: 51\n","epoch 278, eval time: 0.80s, f1: 0.439, precision: 0.581, recall: 0.353\n","total time 2.041445255279541\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 19, predict_num: 38, gold_num: 51\n","epoch 279, eval time: 0.71s, f1: 0.427, precision: 0.500, recall: 0.373\n","total time 2.373952865600586\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 19, predict_num: 33, gold_num: 51\n","epoch 280, eval time: 0.69s, f1: 0.452, precision: 0.576, recall: 0.373\n","epoch: 281, step: 10800, speed: 221.10ms/b, train loss: 0.001\n","total time 4.381536960601807\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 18, predict_num: 64, gold_num: 51\n","epoch 281, eval time: 0.72s, f1: 0.313, precision: 0.281, recall: 0.353\n","total time 11.896698713302612\n"," Testing step 27 / 28, Please 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51\n","epoch 291, eval time: 0.70s, f1: 0.427, precision: 0.667, recall: 0.314\n","total time 5.5538952350616455\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 18, predict_num: 35, gold_num: 51\n","epoch 292, eval time: 0.83s, f1: 0.419, precision: 0.514, recall: 0.353\n","epoch: 293, step: 11100, speed: 224.03ms/b, train loss: 0.001\n","total time 4.409714221954346\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 18, predict_num: 34, gold_num: 51\n","epoch 293, eval time: 0.73s, f1: 0.424, precision: 0.529, recall: 0.353\n","total time 6.478423595428467\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 17, predict_num: 28, gold_num: 51\n","epoch 294, eval time: 0.83s, f1: 0.430, precision: 0.607, recall: 0.333\n","epoch: 295, step: 11200, speed: 173.56ms/b, train loss: 0.001\n","total time 12.078060150146484\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 18, predict_num: 36, gold_num: 51\n","epoch 295, eval time: 0.80s, f1: 0.414, precision: 0.500, recall: 0.353\n","total time 1.069399356842041\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 19, predict_num: 37, gold_num: 51\n","epoch 296, eval time: 0.70s, f1: 0.432, precision: 0.514, recall: 0.373\n","total time 3.2044692039489746\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 19, predict_num: 39, gold_num: 51\n","epoch 297, eval time: 0.70s, f1: 0.422, precision: 0.487, recall: 0.373\n","total time 2.9038329124450684\n"," Testing step 27 / 28, Please 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51\n","epoch 304, eval time: 0.71s, f1: 0.452, precision: 0.576, recall: 0.373\n","epoch: 305, step: 11500, speed: 208.91ms/b, train loss: 0.000\n","total time 12.014142990112305\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 20, predict_num: 32, gold_num: 51\n","epoch 305, eval time: 0.70s, f1: 0.482, precision: 0.625, recall: 0.392\n","epoch: 306, step: 11600, speed: 160.09ms/b, train loss: 0.000\n","total time 11.37193250656128\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 17, predict_num: 25, gold_num: 51\n","epoch 306, eval time: 0.70s, f1: 0.447, precision: 0.680, recall: 0.333\n","total time 2.700690746307373\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 17, predict_num: 27, gold_num: 51\n","epoch 307, eval time: 0.73s, f1: 0.436, precision: 0.630, recall: 0.333\n","epoch: 308, step: 11700, speed: 155.46ms/b, train loss: 0.000\n","total time 11.984167098999023\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 17, predict_num: 23, gold_num: 51\n","epoch 308, eval time: 0.70s, f1: 0.459, precision: 0.739, recall: 0.333\n","total time 5.520525932312012\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 21, predict_num: 35, gold_num: 51\n","epoch 309, eval time: 0.71s, f1: 0.488, precision: 0.600, recall: 0.412\n","saving the model, epoch: 309, precision: 0.600, recall: 0.412, best f1: 0.488\n","total time 5.686659812927246\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 19, predict_num: 28, gold_num: 51\n","epoch 310, eval time: 0.91s, f1: 0.481, precision: 0.679, recall: 0.373\n","epoch: 311, step: 11800, speed: 214.61ms/b, train loss: 0.001\n","total time 4.731505870819092\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 19, predict_num: 34, gold_num: 51\n","epoch 311, eval time: 0.81s, f1: 0.447, precision: 0.559, recall: 0.373\n","total time 1.5860316753387451\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 19, predict_num: 32, gold_num: 51\n","epoch 312, eval time: 0.72s, f1: 0.458, precision: 0.594, recall: 0.373\n","total time 0.32793474197387695\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 19, predict_num: 32, gold_num: 51\n","epoch 313, eval time: 0.72s, f1: 0.458, precision: 0.594, recall: 0.373\n","total time 5.647714853286743\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 20, predict_num: 40, gold_num: 51\n","epoch 314, eval time: 0.70s, f1: 0.440, precision: 0.500, recall: 0.392\n","epoch: 315, step: 11900, speed: 189.11ms/b, train loss: 0.001\n","total time 6.762240648269653\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 17, predict_num: 24, gold_num: 51\n","epoch 315, eval time: 0.72s, f1: 0.453, precision: 0.708, recall: 0.333\n","total time 7.640990734100342\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 18, predict_num: 32, gold_num: 51\n","epoch 316, eval time: 0.70s, f1: 0.434, precision: 0.562, recall: 0.353\n","total time 2.096186399459839\n"," Testing step 27 / 28, Please 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51\n","epoch 335, eval time: 0.76s, f1: 0.469, precision: 0.633, recall: 0.373\n","total time 0.23357629776000977\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 19, predict_num: 26, gold_num: 51\n","epoch 336, eval time: 0.73s, f1: 0.494, precision: 0.731, recall: 0.373\n","saving the model, epoch: 336, precision: 0.731, recall: 0.373, best f1: 0.494\n","total time 3.7076807022094727\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 17, predict_num: 31, gold_num: 51\n","epoch 337, eval time: 0.70s, f1: 0.415, precision: 0.548, recall: 0.333\n","total time 0.6074681282043457\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 15, predict_num: 19, gold_num: 51\n","epoch 338, eval time: 0.71s, f1: 0.429, precision: 0.789, recall: 0.294\n","total time 0.43799352645874023\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 13, predict_num: 15, gold_num: 51\n","epoch 339, eval time: 0.82s, f1: 0.394, precision: 0.867, recall: 0.255\n","epoch: 340, step: 12600, speed: 269.91ms/b, train loss: 0.001\n","total time 10.286834001541138\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 18, predict_num: 27, gold_num: 51\n","epoch 340, eval time: 0.70s, f1: 0.462, precision: 0.667, recall: 0.353\n","total time 0.44827842712402344\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 18, predict_num: 28, gold_num: 51\n","epoch 341, eval time: 0.81s, f1: 0.456, precision: 0.643, recall: 0.353\n","epoch: 342, step: 12700, speed: 172.03ms/b, train loss: 0.001\n","total time 11.776107788085938\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 18, predict_num: 24, gold_num: 51\n","epoch 342, eval time: 0.80s, f1: 0.480, precision: 0.750, recall: 0.353\n","total time 11.025651216506958\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 19, predict_num: 24, gold_num: 51\n","epoch 343, eval time: 0.72s, f1: 0.507, precision: 0.792, recall: 0.373\n","saving the model, epoch: 343, precision: 0.792, recall: 0.373, best f1: 0.507\n","epoch: 344, step: 12800, speed: 196.87ms/b, train loss: 0.000\n","total time 5.638840198516846\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 20, predict_num: 28, gold_num: 51\n","epoch 344, eval time: 0.70s, f1: 0.506, precision: 0.714, recall: 0.392\n","total time 2.3553497791290283\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 18, predict_num: 21, gold_num: 51\n","epoch 345, eval time: 0.78s, f1: 0.500, precision: 0.857, recall: 0.353\n","total time 0.3025052547454834\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 18, predict_num: 22, gold_num: 51\n","epoch 346, eval time: 0.84s, f1: 0.493, precision: 0.818, recall: 0.353\n","total time 1.0683066844940186\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 20, predict_num: 40, gold_num: 51\n","epoch 347, eval time: 0.93s, f1: 0.440, precision: 0.500, recall: 0.392\n","total time 2.0433101654052734\n"," Testing step 27 / 28, Please 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51\n","epoch 351, eval time: 0.82s, f1: 0.427, precision: 0.667, recall: 0.314\n","epoch: 352, step: 12900, speed: 248.87ms/b, train loss: 0.001\n","total time 12.356848239898682\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 19, predict_num: 31, gold_num: 51\n","epoch 352, eval time: 0.80s, f1: 0.463, precision: 0.613, recall: 0.373\n","epoch: 353, step: 13000, speed: 168.16ms/b, train loss: 0.000\n","total time 10.296155452728271\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 18, predict_num: 32, gold_num: 51\n","epoch 353, eval time: 0.81s, f1: 0.434, precision: 0.562, recall: 0.353\n","epoch: 354, step: 13100, speed: 161.44ms/b, train loss: 0.000\n","total time 11.950803279876709\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 18, predict_num: 30, gold_num: 51\n","epoch 354, eval time: 0.79s, f1: 0.444, precision: 0.600, recall: 0.353\n","total time 6.49272084236145\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 18, predict_num: 32, gold_num: 51\n","epoch 355, eval time: 0.71s, f1: 0.434, precision: 0.562, recall: 0.353\n","total time 1.710017204284668\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 17, predict_num: 25, gold_num: 51\n","epoch 356, eval time: 0.70s, f1: 0.447, precision: 0.680, recall: 0.333\n","total time 4.8007121086120605\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 17, predict_num: 26, gold_num: 51\n","epoch 357, eval time: 0.71s, f1: 0.442, precision: 0.654, recall: 0.333\n","epoch: 358, step: 13200, speed: 194.60ms/b, train loss: 0.000\n","total time 5.645813703536987\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 16, predict_num: 27, gold_num: 51\n","epoch 358, eval time: 0.69s, f1: 0.410, precision: 0.593, recall: 0.314\n","epoch: 359, step: 13300, speed: 172.92ms/b, train loss: 0.000\n","total time 12.108390808105469\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 19, predict_num: 31, gold_num: 51\n","epoch 359, eval time: 0.70s, f1: 0.463, precision: 0.613, recall: 0.373\n","total time 9.756813287734985\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 17, predict_num: 27, gold_num: 51\n","epoch 360, eval time: 0.70s, f1: 0.436, precision: 0.630, recall: 0.333\n","total time 4.827418565750122\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 18, predict_num: 31, gold_num: 51\n","epoch 361, eval time: 0.79s, f1: 0.439, precision: 0.581, recall: 0.353\n","epoch: 362, step: 13400, speed: 193.88ms/b, train loss: 0.000\n","total time 12.15981912612915\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 16, predict_num: 28, gold_num: 51\n","epoch 362, eval time: 0.79s, f1: 0.405, precision: 0.571, recall: 0.314\n","total time 1.9287569522857666\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 16, predict_num: 28, gold_num: 51\n","epoch 363, eval time: 0.69s, f1: 0.405, precision: 0.571, recall: 0.314\n","epoch: 364, step: 13500, speed: 183.91ms/b, train loss: 0.000\n","total time 7.250708103179932\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 17, predict_num: 26, gold_num: 51\n","epoch 364, eval time: 0.76s, f1: 0.442, precision: 0.654, recall: 0.333\n","total time 5.472400426864624\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 18, predict_num: 35, gold_num: 51\n","epoch 365, eval time: 0.70s, f1: 0.419, precision: 0.514, recall: 0.353\n","epoch: 366, step: 13600, speed: 184.27ms/b, train loss: 0.000\n","total time 8.80808687210083\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 16, predict_num: 21, gold_num: 51\n","epoch 366, eval time: 0.71s, f1: 0.444, precision: 0.762, recall: 0.314\n","total time 12.369948387145996\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 18, predict_num: 27, gold_num: 51\n","epoch 367, eval time: 0.70s, f1: 0.462, precision: 0.667, recall: 0.353\n","epoch: 368, step: 13700, speed: 179.21ms/b, train loss: 0.000\n","total time 4.729542970657349\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 18, predict_num: 26, gold_num: 51\n","epoch 368, eval time: 0.71s, f1: 0.468, precision: 0.692, recall: 0.353\n","total time 4.538322925567627\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 18, predict_num: 26, gold_num: 51\n","epoch 369, eval time: 0.83s, f1: 0.468, precision: 0.692, recall: 0.353\n","total time 1.081528663635254\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 18, predict_num: 26, gold_num: 51\n","epoch 370, eval time: 0.70s, f1: 0.468, precision: 0.692, recall: 0.353\n","total time 2.413795232772827\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 17, predict_num: 24, gold_num: 51\n","epoch 371, eval time: 0.72s, f1: 0.453, precision: 0.708, recall: 0.333\n","total time 0.9987447261810303\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 17, predict_num: 24, gold_num: 51\n","epoch 372, eval time: 0.69s, f1: 0.453, precision: 0.708, recall: 0.333\n","epoch: 373, step: 13800, speed: 213.10ms/b, train loss: 0.000\n","total time 5.8511011600494385\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 17, predict_num: 22, gold_num: 51\n","epoch 373, eval time: 0.70s, f1: 0.466, precision: 0.773, recall: 0.333\n","total time 3.870234489440918\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 17, predict_num: 20, gold_num: 51\n","epoch 374, eval time: 0.71s, f1: 0.479, precision: 0.850, recall: 0.333\n","total time 0.6011109352111816\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 17, predict_num: 32, gold_num: 51\n","epoch 375, eval time: 0.70s, f1: 0.410, precision: 0.531, recall: 0.333\n","epoch: 376, step: 13900, speed: 192.33ms/b, train loss: 0.000\n","total time 12.365846872329712\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 18, predict_num: 26, gold_num: 51\n","epoch 376, eval time: 0.69s, f1: 0.468, precision: 0.692, recall: 0.353\n","total time 8.721625804901123\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 18, predict_num: 27, gold_num: 51\n","epoch 377, eval time: 0.71s, f1: 0.462, precision: 0.667, recall: 0.353\n","epoch: 378, step: 14000, speed: 182.35ms/b, train loss: 0.000\n","total time 6.785994291305542\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 19, predict_num: 26, gold_num: 51\n","epoch 378, eval time: 0.84s, f1: 0.494, precision: 0.731, recall: 0.373\n","total time 3.8526628017425537\n"," Testing step 27 / 28, Please 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51\n","epoch 382, eval time: 0.74s, f1: 0.404, precision: 0.474, recall: 0.353\n","total time 5.940206527709961\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 18, predict_num: 42, gold_num: 51\n","epoch 383, eval time: 0.71s, f1: 0.387, precision: 0.429, recall: 0.353\n","epoch: 384, step: 14100, speed: 230.30ms/b, train loss: 0.000\n","total time 4.140906095504761\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 18, predict_num: 27, gold_num: 51\n","epoch 384, eval time: 0.87s, f1: 0.462, precision: 0.667, recall: 0.353\n","total time 8.331806659698486\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 18, predict_num: 36, gold_num: 51\n","epoch 385, eval time: 0.82s, f1: 0.414, precision: 0.500, recall: 0.353\n","epoch: 386, step: 14200, speed: 174.17ms/b, train loss: 0.000\n","total time 7.110419988632202\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 18, predict_num: 30, gold_num: 51\n","epoch 386, eval time: 0.70s, f1: 0.444, precision: 0.600, recall: 0.353\n","total time 2.5467453002929688\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 17, predict_num: 28, gold_num: 51\n","epoch 387, eval time: 0.71s, f1: 0.430, precision: 0.607, recall: 0.333\n","total time 2.2539219856262207\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 18, predict_num: 30, gold_num: 51\n","epoch 388, eval time: 0.75s, f1: 0.444, precision: 0.600, recall: 0.353\n","epoch: 389, step: 14300, speed: 197.69ms/b, train loss: 0.000\n","total time 12.497172117233276\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 16, predict_num: 26, gold_num: 51\n","epoch 389, eval time: 0.80s, f1: 0.416, precision: 0.615, recall: 0.314\n","total time 4.453132152557373\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 18, predict_num: 32, gold_num: 51\n","epoch 390, eval time: 0.71s, f1: 0.434, precision: 0.562, recall: 0.353\n","epoch: 391, step: 14400, speed: 174.31ms/b, train loss: 0.000\n","total time 11.80620288848877\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 18, predict_num: 30, gold_num: 51\n","epoch 391, eval time: 0.70s, f1: 0.444, precision: 0.600, recall: 0.353\n","total time 4.08544397354126\n"," Testing step 27 / 28, Please 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51\n","epoch 422, eval time: 0.70s, f1: 0.383, precision: 0.419, recall: 0.353\n","epoch: 423, step: 15500, speed: 219.40ms/b, train loss: 0.001\n","total time 9.38109016418457\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 16, predict_num: 17, gold_num: 51\n","epoch 423, eval time: 0.71s, f1: 0.471, precision: 0.941, recall: 0.314\n","epoch: 424, step: 15600, speed: 167.15ms/b, train loss: 0.000\n","total time 11.959567785263062\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 18, predict_num: 29, gold_num: 51\n","epoch 424, eval time: 0.73s, f1: 0.450, precision: 0.621, recall: 0.353\n","total time 4.9469990730285645\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 16, predict_num: 26, gold_num: 51\n","epoch 425, eval time: 0.75s, f1: 0.416, precision: 0.615, recall: 0.314\n","total time 7.013380527496338\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 19, predict_num: 35, gold_num: 51\n","epoch 426, eval time: 0.71s, f1: 0.442, precision: 0.543, recall: 0.373\n","epoch: 427, step: 15700, speed: 203.19ms/b, train loss: 0.000\n","total time 8.70629096031189\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 18, predict_num: 33, gold_num: 51\n","epoch 427, eval time: 0.74s, f1: 0.429, precision: 0.545, recall: 0.353\n","epoch: 428, step: 15800, speed: 165.21ms/b, train loss: 0.000\n","total time 11.492495775222778\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 18, predict_num: 28, gold_num: 51\n","epoch 428, eval time: 0.70s, f1: 0.456, precision: 0.643, recall: 0.353\n","total time 12.077278852462769\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 16, predict_num: 28, gold_num: 51\n","epoch 429, eval time: 0.70s, f1: 0.405, precision: 0.571, recall: 0.314\n","epoch: 430, step: 15900, speed: 183.02ms/b, train loss: 0.000\n","total time 8.800298929214478\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 18, predict_num: 28, gold_num: 51\n","epoch 430, eval time: 0.79s, f1: 0.456, precision: 0.643, recall: 0.353\n","total time 3.2431282997131348\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 16, predict_num: 26, gold_num: 51\n","epoch 431, eval time: 0.71s, f1: 0.416, precision: 0.615, recall: 0.314\n","total time 0.485140323638916\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 16, predict_num: 26, gold_num: 51\n","epoch 432, eval time: 0.71s, f1: 0.416, precision: 0.615, recall: 0.314\n","epoch: 433, step: 16000, speed: 187.86ms/b, train loss: 0.000\n","total time 12.142838478088379\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 18, predict_num: 25, gold_num: 51\n","epoch 433, eval time: 0.69s, f1: 0.474, precision: 0.720, recall: 0.353\n","total time 1.246340036392212\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 18, predict_num: 27, gold_num: 51\n","epoch 434, eval time: 0.71s, f1: 0.462, precision: 0.667, recall: 0.353\n","total time 4.321409225463867\n"," Testing step 27 / 28, Please 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Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 16, predict_num: 29, gold_num: 51\n","epoch 444, eval time: 0.82s, f1: 0.400, precision: 0.552, recall: 0.314\n","total time 6.411767482757568\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 19, predict_num: 39, gold_num: 51\n","epoch 445, eval time: 0.70s, f1: 0.422, precision: 0.487, recall: 0.373\n","total time 2.6074419021606445\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 17, predict_num: 32, gold_num: 51\n","epoch 446, eval time: 0.77s, f1: 0.410, precision: 0.531, recall: 0.333\n","epoch: 447, step: 16600, speed: 201.46ms/b, train loss: 0.000\n","total time 11.219269752502441\n"," Testing step 27 / 28, Please 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Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 17, predict_num: 29, gold_num: 51\n","epoch 450, eval time: 0.72s, f1: 0.425, precision: 0.586, recall: 0.333\n","total time 3.408522367477417\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 15, predict_num: 32, gold_num: 51\n","epoch 451, eval time: 0.71s, f1: 0.361, precision: 0.469, recall: 0.294\n","total time 4.178152799606323\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 16, predict_num: 28, gold_num: 51\n","epoch 452, eval time: 0.69s, f1: 0.405, precision: 0.571, recall: 0.314\n","total time 4.11078953742981\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 17, predict_num: 29, gold_num: 51\n","epoch 453, eval time: 0.79s, f1: 0.425, precision: 0.586, recall: 0.333\n","epoch: 454, step: 16800, speed: 197.81ms/b, train loss: 0.000\n","total time 4.868318796157837\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 17, predict_num: 34, gold_num: 51\n","epoch 454, eval time: 0.70s, f1: 0.400, precision: 0.500, recall: 0.333\n","epoch: 455, step: 16900, speed: 159.20ms/b, train loss: 0.000\n","total time 11.985857486724854\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 17, predict_num: 30, gold_num: 51\n","epoch 455, eval time: 0.70s, f1: 0.420, precision: 0.567, recall: 0.333\n","total time 11.090917587280273\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 19, predict_num: 34, gold_num: 51\n","epoch 456, eval time: 0.70s, f1: 0.447, precision: 0.559, recall: 0.373\n","epoch: 457, step: 17000, speed: 170.93ms/b, train loss: 0.000\n","total time 4.700334787368774\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 19, predict_num: 34, gold_num: 51\n","epoch 457, eval time: 0.70s, f1: 0.447, precision: 0.559, recall: 0.373\n","total time 11.799846172332764\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 19, predict_num: 34, gold_num: 51\n","epoch 458, eval time: 0.70s, f1: 0.447, precision: 0.559, recall: 0.373\n","epoch: 459, step: 17100, speed: 166.91ms/b, train loss: 0.000\n","total time 8.841090202331543\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 18, predict_num: 27, gold_num: 51\n","epoch 459, eval time: 0.71s, f1: 0.462, precision: 0.667, recall: 0.353\n","total time 2.7333145141601562\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 18, predict_num: 27, gold_num: 51\n","epoch 460, eval time: 0.79s, f1: 0.462, precision: 0.667, recall: 0.353\n","total time 5.9754884243011475\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 18, predict_num: 35, gold_num: 51\n","epoch 461, eval time: 0.72s, f1: 0.419, precision: 0.514, recall: 0.353\n","total time 0.7087383270263672\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 18, predict_num: 36, gold_num: 51\n","epoch 462, eval time: 0.72s, f1: 0.414, precision: 0.500, recall: 0.353\n","epoch: 463, step: 17200, speed: 205.40ms/b, train loss: 0.000\n","total time 3.900925874710083\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 18, predict_num: 37, gold_num: 51\n","epoch 463, eval time: 0.84s, f1: 0.409, precision: 0.486, recall: 0.353\n","total time 1.2451140880584717\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 18, predict_num: 37, gold_num: 51\n","epoch 464, eval time: 0.72s, f1: 0.409, precision: 0.486, recall: 0.353\n","total time 3.167179822921753\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 19, predict_num: 40, gold_num: 51\n","epoch 465, eval time: 0.70s, f1: 0.418, precision: 0.475, recall: 0.373\n","total time 2.701115131378174\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 16, predict_num: 25, gold_num: 51\n","epoch 466, eval time: 0.70s, f1: 0.421, precision: 0.640, recall: 0.314\n","total time 3.2207369804382324\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 18, predict_num: 31, gold_num: 51\n","epoch 467, eval time: 0.86s, f1: 0.439, precision: 0.581, recall: 0.353\n","epoch: 468, step: 17300, speed: 216.45ms/b, train loss: 0.000\n","total time 5.357600927352905\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 18, predict_num: 29, gold_num: 51\n","epoch 468, eval time: 0.70s, f1: 0.450, precision: 0.621, recall: 0.353\n","total time 0.09336280822753906\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 18, predict_num: 29, gold_num: 51\n","epoch 469, eval time: 0.72s, f1: 0.450, precision: 0.621, recall: 0.353\n","total time 5.3710808753967285\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 20, predict_num: 38, gold_num: 51\n","epoch 470, eval time: 0.70s, f1: 0.449, precision: 0.526, recall: 0.392\n","total time 3.320233106613159\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 20, predict_num: 32, gold_num: 51\n","epoch 471, eval time: 0.70s, f1: 0.482, precision: 0.625, recall: 0.392\n","epoch: 472, step: 17400, speed: 186.06ms/b, train loss: 0.000\n","total time 3.367696523666382\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 17, predict_num: 25, gold_num: 51\n","epoch 472, eval time: 0.70s, f1: 0.447, precision: 0.680, recall: 0.333\n","total time 2.9832255840301514\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 16, predict_num: 24, gold_num: 51\n","epoch 473, eval time: 0.75s, f1: 0.427, precision: 0.667, recall: 0.314\n","total time 6.479372978210449\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 19, predict_num: 28, gold_num: 51\n","epoch 474, eval time: 0.70s, f1: 0.481, precision: 0.679, recall: 0.373\n","epoch: 475, step: 17500, speed: 178.02ms/b, train loss: 0.000\n","total time 11.998150825500488\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 17, predict_num: 29, gold_num: 51\n","epoch 475, eval time: 0.70s, f1: 0.425, precision: 0.586, recall: 0.333\n","total time 6.958420515060425\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 17, predict_num: 27, gold_num: 51\n","epoch 476, eval time: 0.70s, f1: 0.436, precision: 0.630, recall: 0.333\n","epoch: 477, step: 17600, speed: 180.96ms/b, train loss: 0.000\n","total time 7.76985764503479\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 19, predict_num: 36, gold_num: 51\n","epoch 477, eval time: 0.82s, f1: 0.437, precision: 0.528, recall: 0.373\n","total time 9.916146993637085\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 18, predict_num: 32, gold_num: 51\n","epoch 478, eval time: 0.70s, f1: 0.434, precision: 0.562, recall: 0.353\n","epoch: 479, step: 17700, speed: 182.70ms/b, train loss: 0.000\n","total time 7.039227724075317\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 17, predict_num: 32, gold_num: 51\n","epoch 479, eval time: 0.72s, f1: 0.410, precision: 0.531, recall: 0.333\n","total time 2.3823440074920654\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 17, predict_num: 34, gold_num: 51\n","epoch 480, eval time: 0.71s, f1: 0.400, precision: 0.500, recall: 0.333\n","epoch: 481, step: 17800, speed: 166.81ms/b, train loss: 0.000\n","total time 12.168929815292358\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 16, predict_num: 26, gold_num: 51\n","epoch 481, eval time: 0.70s, f1: 0.416, precision: 0.615, recall: 0.314\n","total time 0.600161075592041\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 16, predict_num: 25, gold_num: 51\n","epoch 482, eval time: 0.73s, f1: 0.421, precision: 0.640, recall: 0.314\n","total time 5.5655951499938965\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 18, predict_num: 33, gold_num: 51\n","epoch 483, eval time: 0.84s, f1: 0.429, precision: 0.545, recall: 0.353\n","total time 0.9923598766326904\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 17, predict_num: 28, gold_num: 51\n","epoch 484, eval time: 0.71s, f1: 0.430, precision: 0.607, recall: 0.333\n","epoch: 485, step: 17900, speed: 201.16ms/b, train loss: 0.000\n","total time 12.156023263931274\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 20, predict_num: 38, gold_num: 51\n","epoch 485, eval time: 0.70s, f1: 0.449, precision: 0.526, recall: 0.392\n","total time 7.005395889282227\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 18, predict_num: 34, gold_num: 51\n","epoch 486, eval time: 0.69s, f1: 0.424, precision: 0.529, recall: 0.353\n","epoch: 487, step: 18000, speed: 185.93ms/b, train loss: 0.000\n","total time 6.584121465682983\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 18, predict_num: 29, gold_num: 51\n","epoch 487, eval time: 0.72s, f1: 0.450, precision: 0.621, recall: 0.353\n","epoch: 488, step: 18100, speed: 170.06ms/b, train loss: 0.000\n","total time 9.97697401046753\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 18, predict_num: 33, gold_num: 51\n","epoch 488, eval time: 0.70s, f1: 0.429, precision: 0.545, recall: 0.353\n","total time 0.16241717338562012\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 18, predict_num: 33, gold_num: 51\n","epoch 489, eval time: 0.71s, f1: 0.429, precision: 0.545, recall: 0.353\n","total time 6.265580892562866\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 19, predict_num: 36, gold_num: 51\n","epoch 490, eval time: 0.69s, f1: 0.437, precision: 0.528, recall: 0.373\n","total time 0.3763105869293213\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 19, predict_num: 36, gold_num: 51\n","epoch 491, eval time: 0.74s, f1: 0.437, precision: 0.528, recall: 0.373\n","epoch: 492, step: 18200, speed: 191.56ms/b, train loss: 0.000\n","total time 12.126160621643066\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 20, predict_num: 30, gold_num: 51\n","epoch 492, eval time: 0.69s, f1: 0.494, precision: 0.667, recall: 0.392\n","total time 12.092569351196289\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 18, predict_num: 24, gold_num: 51\n","epoch 493, eval time: 0.71s, f1: 0.480, precision: 0.750, recall: 0.353\n","epoch: 494, step: 18300, speed: 178.24ms/b, train loss: 0.000\n","total time 9.196566820144653\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 17, predict_num: 27, gold_num: 51\n","epoch 494, eval time: 0.72s, f1: 0.436, precision: 0.630, recall: 0.333\n","epoch: 495, step: 18400, speed: 165.39ms/b, train loss: 0.000\n","total time 11.72648000717163\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 19, predict_num: 34, gold_num: 51\n","epoch 495, eval time: 0.70s, f1: 0.447, precision: 0.559, recall: 0.373\n","total time 3.7579355239868164\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 19, predict_num: 35, gold_num: 51\n","epoch 496, eval time: 0.71s, f1: 0.442, precision: 0.543, recall: 0.373\n","epoch: 497, step: 18500, speed: 181.53ms/b, train loss: 0.000\n","total time 11.682766675949097\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 18, predict_num: 30, gold_num: 51\n","epoch 497, eval time: 0.71s, f1: 0.444, precision: 0.600, recall: 0.353\n","total time 7.312451124191284\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 19, predict_num: 36, gold_num: 51\n","epoch 498, eval time: 0.81s, f1: 0.437, precision: 0.528, recall: 0.373\n","epoch: 499, step: 18600, speed: 168.16ms/b, train loss: 0.000\n","total time 8.659610033035278\n"," Testing step 27 / 28, Please Waiting!\n","OneRel_DATASET_corpus3_LR_1e-05_BS_2Max_len1500Bert_ML200DP_0.2EDP_0.1\n","\n"," correct_num: 19, predict_num: 29, gold_num: 51\n","epoch 499, eval time: 0.71s, f1: 0.475, precision: 0.655, recall: 0.373\n","finish training\n","best epoch: 343, precision: 0.792, recall: 0.373, best f1: 0.507, total time: 3475.96s\n"]}],"source":["!export TF_ENABLE_ONEDNN_OPTS=0\n","!export HF_DATASETS_OFFLINE=1\n","!export TRANSFORMERS_OFFLINE=1\n","!export PYTORCH_CUDA_ALLOC_CONF=max_split_size_mb:128 # Adjust to manage memory fragmentation\n","!touch train.py\n","!python train.py --dataset=corpus3 --batch_size=2 --max_epoch=500 --rel_num=16 --max_len=1500"]},{"cell_type":"code","source":["!pip install transformers huggingface_hub\n"],"metadata":{"id":"sQ95WWk_QsKE","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1708429712957,"user_tz":0,"elapsed":6464,"user":{"displayName":"F Xu","userId":"09663922277527295904"}},"outputId":"2e85cba5-5e98-4c19-d507-0c4f4b8c836a"},"execution_count":42,"outputs":[{"output_type":"stream","name":"stdout","text":["Requirement already satisfied: transformers in /usr/local/lib/python3.10/dist-packages (4.35.2)\n","Requirement already satisfied: huggingface_hub in /usr/local/lib/python3.10/dist-packages (0.20.3)\n","Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from transformers) (3.13.1)\n","Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from transformers) (1.25.2)\n","Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from transformers) (23.2)\n","Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from transformers) (6.0.1)\n","Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from transformers) (2023.12.25)\n","Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from transformers) (2.31.0)\n","Requirement already satisfied: tokenizers<0.19,>=0.14 in /usr/local/lib/python3.10/dist-packages (from transformers) (0.15.1)\n","Requirement already satisfied: safetensors>=0.3.1 in /usr/local/lib/python3.10/dist-packages (from transformers) (0.4.2)\n","Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.10/dist-packages (from transformers) (4.66.1)\n","Requirement already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.10/dist-packages (from huggingface_hub) (2023.6.0)\n","Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface_hub) (4.5.0)\n","Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (3.3.2)\n","Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (3.6)\n","Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (2.0.7)\n","Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (2024.2.2)\n"]}]},{"cell_type":"code","source":["from huggingface_hub import notebook_login\n","\n","notebook_login()\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":145,"referenced_widgets":["1da18c09b3a94aa4bc498616841faa5b","224e403377814a4ebd59f1da226b13f8","d7d09a35954f42cb8b1e2e27b195d63c","136bc07f4c3248338c449e12af7814f6","cdfdd0c1e1b944eb93ab52d094cd2084","241140447f6544e8b17a172c647b1cc3","c61f40792162451aa16eb13c90a5dfc7","aafafb28f7b04b48bbc21ed5422d8ded","17df94686317447c919864dcd268ba45","c911e2fd60f34157859d87881867b498","eb4f016a9b194b3e98c35a905ed4a816","9e6bb87cef4240c4a35c215ad7a1a900","17df008230d74934b2f099c368351ffc","6d982c9b94bb4005a138a0c3c74ced9e","b5783a8f07654fef8613378521cc2d4e","4f4c088353e6478c9252866499a2ff79","5276ce1c83d94fc78a9a28af1ab25c5e","18532ff82f084e4cb664c5879b767872","d3c11e39bf0b4b04abc3c921e1ea7d02","ccced0984987451a94a9d5f5233fb9cf","cdc925d0194b46a2b94cad618675f6de","c11eb94d810e4d7fb9c35cd1db566afa","12b3eff735304356a2585f8481b2c357","af69365bf837436e9a0589a3ad5f0aa1","8fdcff787711486096e5223262d94323","ab0c28eb661a4b5da58fa42441311969","390bb7101352437a9e10279543cc59c8","3d2d353ffee249378aa0d2c7b58ee5bd","bee981e973a5471d8df127f7a4220e89","309646788d754802bf2c560de1ce88a6","93c2436297964543a274e7bc9e576983","58fe0ee9cca44b60b87d201342afac6b"]},"id":"PRhI47d4T3eM","executionInfo":{"status":"ok","timestamp":1708429150741,"user_tz":0,"elapsed":648,"user":{"displayName":"F Xu","userId":"09663922277527295904"}},"outputId":"6fd85059-6748-4762-94e7-4a1462b6e60c"},"execution_count":35,"outputs":[{"output_type":"display_data","data":{"text/plain":["VBox(children=(HTML(value='<center> <img\\nsrc=https://huggingface.co/front/assets/huggingface_logo-noborder.sv…"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"1da18c09b3a94aa4bc498616841faa5b"}},"metadata":{}}]},{"cell_type":"code","execution_count":32,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"fStlR2Oh6rwI","executionInfo":{"status":"ok","timestamp":1708418859686,"user_tz":0,"elapsed":14805,"user":{"displayName":"F Xu","userId":"09663922277527295904"}},"outputId":"8bb5c765-5d6a-48f2-a386-cde648409839"},"outputs":[{"output_type":"stream","name":"stdout","text":["2024-02-20 08:47:26.810700: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n","2024-02-20 08:47:26.810780: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n","2024-02-20 08:47:26.812106: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n","2024-02-20 08:47:26.819298: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n","To enable the following instructions: AVX2 AVX512F FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n","2024-02-20 08:47:27.830929: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n","/usr/local/lib/python3.10/dist-packages/transformers/deepspeed.py:23: FutureWarning: transformers.deepspeed module is deprecated and will be removed in a future version. Please import deepspeed modules directly from transformers.integrations\n"," warnings.warn(\n","CUDA backend failed to initialize: Found CUDA version 12010, but JAX was built against version 12020, which is newer. The copy of CUDA that is installed must be at least as new as the version against which JAX was built. (Set TF_CPP_MIN_LOG_LEVEL=0 and rerun for more info.)\n","/usr/local/lib/python3.10/dist-packages/transformers/generation_utils.py:24: FutureWarning: Importing `GenerationMixin` from `src/transformers/generation_utils.py` is deprecated and will be removed in Transformers v5. Import as `from transformers import GenerationMixin` instead.\n"," warnings.warn(\n","/usr/local/lib/python3.10/dist-packages/transformers/generation_tf_utils.py:24: FutureWarning: Importing `TFGenerationMixin` from `src/transformers/generation_tf_utils.py` is deprecated and will be removed in Transformers v5. Import as `from transformers import TFGenerationMixin` instead.\n"," warnings.warn(\n","/usr/local/lib/python3.10/dist-packages/transformers/generation_flax_utils.py:24: FutureWarning: Importing `FlaxGenerationMixin` from `src/transformers/generation_flax_utils.py` is deprecated and will be removed in Transformers v5. Import as `from transformers import FlaxGenerationMixin` instead.\n"," warnings.warn(\n","2024-02-20 08:47:32.828480: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:901] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n","2024-02-20 08:47:32.838374: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:901] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n","2024-02-20 08:47:32.838646: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:901] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n","2024-02-20 08:47:32.839408: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:901] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n","2024-02-20 08:47:32.839643: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:901] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n","2024-02-20 08:47:32.839928: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:901] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n","2024-02-20 08:47:32.978933: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:901] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n","2024-02-20 08:47:32.979171: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:901] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n","2024-02-20 08:47:32.979333: W tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:47] Overriding orig_value setting because the TF_FORCE_GPU_ALLOW_GROWTH environment variable is set. Original config value was 0.\n","2024-02-20 08:47:32.979381: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:901] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n","2024-02-20 08:47:32.979549: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1929] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 13949 MB memory: -> device: 0, name: Tesla T4, pci bus id: 0000:00:04.0, compute capability: 7.5\n","Initialized bert_model_dir: None\n","Using bert_model_dir: None\n","loading configuration file ./pre_trained_bert/scibert_scivocab_cased/config.json\n","Model config BertConfig {\n"," \"attention_probs_dropout_prob\": 0.1,\n"," \"classifier_dropout\": null,\n"," \"hidden_act\": \"gelu\",\n"," \"hidden_dropout_prob\": 0.1,\n"," \"hidden_size\": 768,\n"," \"initializer_range\": 0.02,\n"," \"intermediate_size\": 3072,\n"," \"layer_norm_eps\": 1e-12,\n"," \"max_position_embeddings\": 512,\n"," \"model_type\": \"bert\",\n"," \"num_attention_heads\": 12,\n"," \"num_hidden_layers\": 12,\n"," \"pad_token_id\": 0,\n"," \"position_embedding_type\": \"absolute\",\n"," \"transformers_version\": \"4.35.2\",\n"," \"type_vocab_size\": 2,\n"," \"use_cache\": true,\n"," \"vocab_size\": 31116\n","}\n","\n","loading weights file ./pre_trained_bert/scibert_scivocab_cased/pytorch_model.bin\n","Some weights of the model checkpoint at ./pre_trained_bert/scibert_scivocab_cased were not used when initializing BertModel: ['cls.seq_relationship.weight', 'cls.predictions.transform.LayerNorm.bias', 'cls.predictions.decoder.weight', 'cls.predictions.transform.LayerNorm.weight', 'cls.predictions.bias', 'cls.seq_relationship.bias', 'cls.predictions.transform.dense.bias', 'cls.predictions.transform.dense.weight', 'cls.predictions.decoder.bias']\n","- This IS expected if you are initializing BertModel from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n","- This IS NOT expected if you are initializing BertModel from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n","All the weights of BertModel were initialized from the model checkpoint at ./pre_trained_bert/scibert_scivocab_cased.\n","If your task is similar to the task the model of the checkpoint was trained on, you can already use BertModel for predictions without further training.\n","Traceback (most recent call last):\n"," File \"/content/drive/MyDrive/Gdrive_PhD/20240106_oneRel_code/OneRel/test.py\", line 62, in <module>\n"," fw.testall(model[args.model_name], model_name)\n"," File \"/content/drive/MyDrive/Gdrive_PhD/20240106_oneRel_code/OneRel/framework/framework.py\", line 260, in testall\n"," model.load_state_dict(torch.load(path))\n"," File \"/usr/local/lib/python3.10/dist-packages/torch/serialization.py\", line 1028, in load\n"," return _legacy_load(opened_file, map_location, pickle_module, **pickle_load_args)\n"," File \"/usr/local/lib/python3.10/dist-packages/torch/serialization.py\", line 1246, in _legacy_load\n"," magic_number = pickle_module.load(f, **pickle_load_args)\n","EOFError: Ran out of input\n"]}],"source":["\n","\n","!python test.py --dataset=corpus3 --batch_size=2 --rel_num=16 --max_len=1500\n"]},{"cell_type":"code","execution_count":43,"metadata":{"id":"wQKJb1JL7MfP","executionInfo":{"status":"error","timestamp":1708429720213,"user_tz":0,"elapsed":1556,"user":{"displayName":"F Xu","userId":"09663922277527295904"}},"colab":{"base_uri":"https://localhost:8080/","height":584},"outputId":"841d77c5-0a14-4340-a21a-183a6db2507d"},"outputs":[{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_token.py:88: 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","/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_deprecation.py:131: FutureWarning: 'Repository' (from 'huggingface_hub.repository') is deprecated and will be removed from version '1.0'. Please prefer the http-based alternatives instead. Given its large adoption in legacy code, the complete removal is only planned on next major release.\n","For more details, please read https://huggingface.co/docs/huggingface_hub/concepts/git_vs_http.\n"," warnings.warn(warning_message, FutureWarning)\n"]},{"output_type":"error","ename":"OSError","evalue":"Tried to clone a repository in a non-empty folder that isn't a git repository ('/content/drive/MyDrive/Gdrive_PhD/20240106_oneRel_code/OneRel/./checkpoint/corpus3'). If you really want to do this, do it manually:\n cd /content/drive/MyDrive/Gdrive_PhD/20240106_oneRel_code/OneRel/./checkpoint/corpus3 && git init && git remote add origin && git pull origin main\n or clone repo to a new folder and move your existing files there afterwards.","traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mOSError\u001b[0m Traceback (most recent call last)","\u001b[0;32m<ipython-input-43-f649d40cffe2>\u001b[0m in \u001b[0;36m<cell line: 12>\u001b[0;34m()\u001b[0m\n\u001b[1;32m 10\u001b[0m \u001b[0mrepo\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgit_push\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 11\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 12\u001b[0;31m \u001b[0mpush_to_hub\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"343\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m","\u001b[0;32m<ipython-input-43-f649d40cffe2>\u001b[0m in \u001b[0;36mpush_to_hub\u001b[0;34m(epoch)\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0mrepo_name\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34mf\"oneRel_202402\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 6\u001b[0m \u001b[0mrepo_url\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mhuggingface_hub\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcreate_repo\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrepo_name\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mprivate\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;31m# Change to private=True if you want it to be private\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 7\u001b[0;31m \u001b[0mrepo\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mRepository\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlocal_dir\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34mf\"./checkpoint/corpus3\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mclone_from\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mrepo_url\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 8\u001b[0m \u001b[0mrepo\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgit_add\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 9\u001b[0m \u001b[0mrepo\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgit_commit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Initial commit\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_validators.py\u001b[0m in \u001b[0;36m_inner_fn\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 116\u001b[0m \u001b[0mkwargs\u001b[0m \u001b[0;34m=\u001b[0m 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ignore\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_deprecation.py\u001b[0m in \u001b[0;36minner_f\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 130\u001b[0m \u001b[0mwarning_message\u001b[0m \u001b[0;34m+=\u001b[0m \u001b[0;34m\" \"\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mmessage\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 131\u001b[0m \u001b[0mwarnings\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwarn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mwarning_message\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mFutureWarning\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 132\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m 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ignore\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.10/dist-packages/huggingface_hub/repository.py\u001b[0m in \u001b[0;36mclone_from\u001b[0;34m(self, repo_url, token)\u001b[0m\n\u001b[1;32m 695\u001b[0m \u001b[0;31m# Check if the folder is the root of a git repository\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 696\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mis_git_repo\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlocal_dir\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 697\u001b[0;31m raise EnvironmentError(\n\u001b[0m\u001b[1;32m 698\u001b[0m \u001b[0;34m\"Tried to clone a repository in a non-empty folder that isn't\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 699\u001b[0m \u001b[0;34mf\" a git repository ('{self.local_dir}'). If you really want to\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;31mOSError\u001b[0m: Tried to clone a repository in a non-empty folder that isn't a git repository ('/content/drive/MyDrive/Gdrive_PhD/20240106_oneRel_code/OneRel/./checkpoint/corpus3'). If you really want to do this, do it manually:\n cd /content/drive/MyDrive/Gdrive_PhD/20240106_oneRel_code/OneRel/./checkpoint/corpus3 && git init && git remote add origin && git pull origin main\n or clone repo to a new folder and move your existing files there afterwards."]}],"source":["import huggingface_hub\n","from huggingface_hub import Repository\n","\n","def push_to_hub(epoch):\n"," repo_name = f\"oneRel_202402\"\n"," repo_url = huggingface_hub.create_repo(repo_name, private=False) # Change to private=True if you want it to be private\n"," repo = Repository(local_dir=f\"./checkpoint/corpus3\", clone_from=repo_url)\n"," repo.git_add()\n"," repo.git_commit(\"Initial commit\")\n"," repo.git_push()\n","\n","push_to_hub(\"343\")"]}],"metadata":{"accelerator":"GPU","colab":{"provenance":[],"gpuType":"T4","authorship_tag":"ABX9TyPNo/aAkaoCCffGUO/xmeRF"},"kernelspec":{"display_name":"Python 3","name":"python3"},"language_info":{"name":"python"},"widgets":{"application/vnd.jupyter.widget-state+json":{"1da18c09b3a94aa4bc498616841faa5b":{"model_module":"@jupyter-widgets/controls","model_name":"VBoxModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"VBoxModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"VBoxView","box_style":"","children":["IPY_MODEL_cdc925d0194b46a2b94cad618675f6de","IPY_MODEL_c11eb94d810e4d7fb9c35cd1db566afa","IPY_MODEL_12b3eff735304356a2585f8481b2c357","IPY_MODEL_af69365bf837436e9a0589a3ad5f0aa1"],"layout":"IPY_MODEL_c61f40792162451aa16eb13c90a5dfc7"}},"224e403377814a4ebd59f1da226b13f8":{"model_module":"@jupyter-widgets/controls","model_name":"HTMLModel","model_module_version":"1.5.0","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_aafafb28f7b04b48bbc21ed5422d8ded","placeholder":"","style":"IPY_MODEL_17df94686317447c919864dcd268ba45","value":"<center> <img\nsrc=https://huggingface.co/front/assets/huggingface_logo-noborder.svg\nalt='Hugging Face'> <br> Copy a token from <a\nhref=\"https://huggingface.co/settings/tokens\" target=\"_blank\">your Hugging Face\ntokens page</a> and paste it below. <br> Immediately click login after copying\nyour token or it might be stored in plain text in this notebook file. </center>"}},"d7d09a35954f42cb8b1e2e27b195d63c":{"model_module":"@jupyter-widgets/controls","model_name":"PasswordModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"PasswordModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"PasswordView","continuous_update":true,"description":"Token:","description_tooltip":null,"disabled":false,"layout":"IPY_MODEL_c911e2fd60f34157859d87881867b498","placeholder":"","style":"IPY_MODEL_eb4f016a9b194b3e98c35a905ed4a816","value":""}},"136bc07f4c3248338c449e12af7814f6":{"model_module":"@jupyter-widgets/controls","model_name":"CheckboxModel","model_module_version":"1.5.0","state":{"_dom_classes":[],"_model_module":"@jupyter-widgets/controls","_model_module_version":"1.5.0","_model_name":"CheckboxModel","_view_count":null,"_view_module":"@jupyter-widgets/controls","_view_module_version":"1.5.0","_view_name":"CheckboxView","description":"Add token as git 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