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when I run :"python scripts/train.py -c examples/bert_crf/configs/resume.yaml".
it warns me: "FileNotFoundError: [Errno 2] No such file or directory: 'C:/Users/XXX/.cache/huggingface/datasets/named_entity_recognition_dataset_builder/default-ef6495d2da4494b4/0.0.0/db737b9bb893f20fb03d04403a30bf7c033256c212b7e9f0ebc6e9c958535c51.incomplete/named_entity_recognition_dataset_builder-test-00000-00000-of-NNNNN.arrow'".
What have you tried?
No response
Code (if necessary)
(base) PS C:\Users\XXX\Desktop\Graphic\AdaSeq> python scripts/train.py -c examples/bert_crf/configs/resume.yaml
2023-09-13 19:25:22,907 - modelscope - INFO - PyTorch version 2.0.1 Found.
2023-09-13 19:25:22,912 - modelscope - INFO - Loading ast index from C:\Users\XXX.cache\modelscope\ast_indexer
2023-09-13 19:25:23,304 - modelscope - INFO - Loading done! Current index file version is 1.9.0, with md5 f8489c2bf624f5caf45aa5b79ca58350 and a total number of 921 components indexed
2023-09-13 19:25:27,292 - modelscope - WARNING - The reference has been Deprecated in modelscope v1.4.0+, please use from modelscope.msdatasets.dataset_cls.custom_datasets import TorchCustomDataset
2023-09-13 19:25:27,356 - INFO - adaseq.data.dataset_manager - Will use a custom loading script: D:\conda\Lib\site-packages\adaseq\data\dataset_builders\named_entity_recognition_dataset_builder.py
Downloading and preparing dataset named_entity_recognition_dataset_builder/default to C:/Users/XXX/.cache/huggingface/datasets/named_entity_recognition_dataset_builder/default-ef6495d2da4494b4/0.0.0/db737b9bb893f20fb03d04403a30bf7c033256c212b7e9f0ebc6e9c958535c51...
Traceback (most recent call last):
File "D:\conda\Lib\site-packages\datasets\builder.py", line 1618, in _prepare_split_single
writer = writer_class(
^^^^^^^^^^^^^
File "D:\conda\Lib\site-packages\datasets\arrow_writer.py", line 334, in init
self.stream = self._fs.open(fs_token_paths[2][0], "wb")
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\conda\Lib\site-packages\fsspec\spec.py", line 1151, in open
f = self._open(
^^^^^^^^^^^
File "D:\conda\Lib\site-packages\fsspec\implementations\local.py", line 183, in _open
return LocalFileOpener(path, mode, fs=self, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\conda\Lib\site-packages\fsspec\implementations\local.py", line 285, in init
self._open()
File "D:\conda\Lib\site-packages\fsspec\implementations\local.py", line 290, in _open
self.f = open(self.path, mode=self.mode)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
FileNotFoundError: [Errno 2] No such file or directory: 'C:/Users/XXX/.cache/huggingface/datasets/named_entity_recognition_dataset_builder/default-ef6495d2da4494b4/0.0.0/db737b9bb893f20fb03d04403a30bf7c033256c212b7e9f0ebc6e9c958535c51.incomplete/named_entity_recognition_dataset_builder-test-00000-00000-of-NNNNN.arrow'
What's your environment?
AdaSeq Version (e.g., 1.0 or master):
ModelScope Version (e.g., 1.0 or master):
PyTorch Version (e.g., 1.12.1):
OS (e.g., Ubuntu 20.04):
Python version:
CUDA/cuDNN version:
GPU models and configuration:
Any other relevant information:
Code of Conduct
I agree to follow this project's Code of Conduct
The text was updated successfully, but these errors were encountered:
What is your question?
when I run :"python scripts/train.py -c examples/bert_crf/configs/resume.yaml".
it warns me: "FileNotFoundError: [Errno 2] No such file or directory: 'C:/Users/XXX/.cache/huggingface/datasets/named_entity_recognition_dataset_builder/default-ef6495d2da4494b4/0.0.0/db737b9bb893f20fb03d04403a30bf7c033256c212b7e9f0ebc6e9c958535c51.incomplete/named_entity_recognition_dataset_builder-test-00000-00000-of-NNNNN.arrow'".
What have you tried?
No response
Code (if necessary)
(base) PS C:\Users\XXX\Desktop\Graphic\AdaSeq> python scripts/train.py -c examples/bert_crf/configs/resume.yaml
2023-09-13 19:25:22,907 - modelscope - INFO - PyTorch version 2.0.1 Found.
2023-09-13 19:25:22,912 - modelscope - INFO - Loading ast index from C:\Users\XXX.cache\modelscope\ast_indexer
2023-09-13 19:25:23,304 - modelscope - INFO - Loading done! Current index file version is 1.9.0, with md5 f8489c2bf624f5caf45aa5b79ca58350 and a total number of 921 components indexed
2023-09-13 19:25:27,292 - modelscope - WARNING - The reference has been Deprecated in modelscope v1.4.0+, please use
from modelscope.msdatasets.dataset_cls.custom_datasets import TorchCustomDataset
2023-09-13 19:25:27,356 - INFO - adaseq.data.dataset_manager - Will use a custom loading script: D:\conda\Lib\site-packages\adaseq\data\dataset_builders\named_entity_recognition_dataset_builder.py
Downloading and preparing dataset named_entity_recognition_dataset_builder/default to C:/Users/XXX/.cache/huggingface/datasets/named_entity_recognition_dataset_builder/default-ef6495d2da4494b4/0.0.0/db737b9bb893f20fb03d04403a30bf7c033256c212b7e9f0ebc6e9c958535c51...
Traceback (most recent call last):
File "D:\conda\Lib\site-packages\datasets\builder.py", line 1618, in _prepare_split_single
writer = writer_class(
^^^^^^^^^^^^^
File "D:\conda\Lib\site-packages\datasets\arrow_writer.py", line 334, in init
self.stream = self._fs.open(fs_token_paths[2][0], "wb")
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\conda\Lib\site-packages\fsspec\spec.py", line 1151, in open
f = self._open(
^^^^^^^^^^^
File "D:\conda\Lib\site-packages\fsspec\implementations\local.py", line 183, in _open
return LocalFileOpener(path, mode, fs=self, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\conda\Lib\site-packages\fsspec\implementations\local.py", line 285, in init
self._open()
File "D:\conda\Lib\site-packages\fsspec\implementations\local.py", line 290, in _open
self.f = open(self.path, mode=self.mode)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
FileNotFoundError: [Errno 2] No such file or directory: 'C:/Users/XXX/.cache/huggingface/datasets/named_entity_recognition_dataset_builder/default-ef6495d2da4494b4/0.0.0/db737b9bb893f20fb03d04403a30bf7c033256c212b7e9f0ebc6e9c958535c51.incomplete/named_entity_recognition_dataset_builder-test-00000-00000-of-NNNNN.arrow'
What's your environment?
Code of Conduct
The text was updated successfully, but these errors were encountered: