print.log

nohup: ignoring input
2021-06-09 21:27:12.673213: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcudart.so.11.0'; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/cuda-10.2/lib64:/usr/local/cuda-10.2/extras/CUPTI/lib64:
2021-06-09 21:27:12.673256: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.

  0%|          | 0/15008 [00:00<?, ?it/s]
100%|██████████| 15008/15008 [00:00<00:00, 1553047.33it/s]
/home/sjliu/NLP/Paper_code/QA-B/Myself/data_process.py:53: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
  label_ids = torch.tensor(label_ids)

  0%|          | 0/3748 [00:00<?, ?it/s]
100%|██████████| 3748/3748 [00:00<00:00, 1373547.52it/s]
Some weights of the model checkpoint at bert-base-uncased were not used when initializing BertForSequenceClassification: ['cls.predictions.bias', 'cls.predictions.transform.dense.weight', 'cls.predictions.transform.dense.bias', 'cls.predictions.decoder.weight', 'cls.seq_relationship.weight', 'cls.seq_relationship.bias', 'cls.predictions.transform.LayerNorm.weight', 'cls.predictions.transform.LayerNorm.bias']
- This IS expected if you are initializing BertForSequenceClassification from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPretraining model).
- This IS NOT expected if you are initializing BertForSequenceClassification from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).
Some weights of BertForSequenceClassification were not initialized from the model checkpoint at bert-base-uncased and are newly initialized: ['classifier.weight', 'classifier.bias']
You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.
QStandardPaths: XDG_RUNTIME_DIR not set, defaulting to '/tmp/runtime-sjliu'
qt.qpa.screen: QXcbConnection: Could not connect to display localhost:10.0
Could not connect to any X display.