| [{"stream_name":"stderr","time":13.724700926,"data":"[IPKernelApp] WARNING | Error in loading extension: bq_stats\n"} | |
| ,{"stream_name":"stderr","time":13.724772322,"data":"Check your config files in /root/.ipython/profile_default\n"} | |
| ,{"stream_name":"stderr","time":13.724785797,"data":"Traceback (most recent call last):\n"} | |
| ,{"stream_name":"stderr","time":13.724796796,"data":" File \"/opt/conda/lib/python3.10/site-packages/IPython/core/shellapp.py\", line 282, in init_extensions\n"} | |
| ,{"stream_name":"stderr","time":13.724805308,"data":" self.shell.extension_manager.load_extension(ext)\n"} | |
| ,{"stream_name":"stderr","time":13.72481146,"data":" File \"/opt/conda/lib/python3.10/site-packages/IPython/core/extensions.py\", line 76, in load_extension\n"} | |
| ,{"stream_name":"stderr","time":13.724817726,"data":" return self._load_extension(module_str)\n"} | |
| ,{"stream_name":"stderr","time":13.72482336,"data":" File \"/opt/conda/lib/python3.10/site-packages/IPython/core/extensions.py\", line 91, in _load_extension\n"} | |
| ,{"stream_name":"stderr","time":13.72482955,"data":" mod = import_module(module_str)\n"} | |
| ,{"stream_name":"stderr","time":13.724836852,"data":" File \"/opt/conda/lib/python3.10/importlib/__init__.py\", line 126, in import_module\n"} | |
| ,{"stream_name":"stderr","time":13.724846577,"data":" return _bootstrap._gcd_import(name[level:], package, level)\n"} | |
| ,{"stream_name":"stderr","time":13.724852776,"data":" File \"\u003cfrozen importlib._bootstrap\u003e\", line 1050, in _gcd_import\n"} | |
| ,{"stream_name":"stderr","time":13.724858346,"data":" File \"\u003cfrozen importlib._bootstrap\u003e\", line 1027, in _find_and_load\n"} | |
| ,{"stream_name":"stderr","time":13.724863942,"data":" File \"\u003cfrozen importlib._bootstrap\u003e\", line 1004, in _find_and_load_unlocked\n"} | |
| ,{"stream_name":"stderr","time":13.724870117,"data":"ModuleNotFoundError: No module named 'bq_stats'\n"} | |
| ,{"stream_name":"stderr","time":19.123686124,"data":"/opt/conda/lib/python3.10/site-packages/scipy/__init__.py:146: UserWarning: A NumPy version \u003e=1.16.5 and \u003c1.23.0 is required for this version of SciPy (detected version 1.23.5\n"} | |
| ,{"stream_name":"stderr","time":19.123720342,"data":" warnings.warn(f\"A NumPy version \u003e={np_minversion} and \u003c{np_maxversion}\"\n"} | |
| ,{"stream_name":"stderr","time":23.492376315,"data":"\r 0%| | 0/14 [00:00\u003c?, ?it/s]\r 14%|█▍ | 2/14 [00:00\u003c00:00, 12.67it/s]\r 29%|██▊ | 4/14 [00:00\u003c00:00, 12.74it/s]\r 43%|████▎ | 6/14 [00:00\u003c00:00, 12.68it/s]\r 57%|█████▋ | 8/14 [00:00\u003c00:00, 12.82it/s]\r 71%|███████▏ | 10/14 [00:00\u003c00:00, 12.96it/s]\r 86%|████████▌ | 12/14 [00:00\u003c00:00, 13.02it/s]\r100%|██████████| 14/14 [00:01\u003c00:00, 12.86it/s]\r100%|██████████| 14/14 [00:01\u003c00:00, 12.84it/s]\n"} | |
| ,{"stream_name":"stdout","time":27.019929084,"data":"train_val size 89764\n"} | |
| ,{"stream_name":"stdout","time":27.019972718,"data":"test size 22356\n"} | |
| ,{"stream_name":"stderr","time":34.199297205,"data":"/opt/conda/lib/python3.10/site-packages/torch/functional.py:504: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at /usr/local/src/pytorch/aten/src/ATen/native/TensorShape.cpp:3483.)\n"} | |
| ,{"stream_name":"stderr","time":34.199358764,"data":" return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined]\n"} | |
| ,{"stream_name":"stdout","time":163.532220637,"data":"intial learning rate= 0.00363078061491251\n"} | |
| ,{"stream_name":"stdout","time":3488.906017904,"data":"Better model found at epoch 0 with valid_loss value: 0.17329496145248413.\n"} | |
| ,{"stream_name":"stdout","time":6846.803351323,"data":"Better model found at epoch 1 with valid_loss value: 0.165245920419693.\n"} | |
| ,{"stream_name":"stdout","time":10162.622775457,"data":"Better model found at epoch 2 with valid_loss value: 0.15674030780792236.\n"} | |
| ,{"stream_name":"stdout","time":13703.953546015,"data":"Better model found at epoch 0 with valid_loss value: 0.14989793300628662.\n"} | |
| ,{"stream_name":"stdout","time":20848.091950516,"data":"Better model found at epoch 2 with valid_loss value: 0.14447976648807526.\n"} | |
| ,{"stream_name":"stdout","time":24351.812738077,"data":"Better model found at epoch 3 with valid_loss value: 0.14309784770011902.\n"} | |
| ,{"stream_name":"stdout","time":27834.80204723,"data":"Better model found at epoch 4 with valid_loss value: 0.14207808673381805.\n"} | |
| ,{"stream_name":"stdout","time":31314.577496215,"data":"Better model found at epoch 5 with valid_loss value: 0.14101137220859528.\n"} | |
| ] |