Error when running rubert training on windows

Question

When I start training rubert, this message is returned.
I can't even guess what's going wrong...

model = train_model(config_path) 2021-01-03 18:41:46.694 WARNING in 'deeppavlov.dataset_readers.basic_classification_reader'['basic_classification_reader'] at line 112: Cannot find E:\NTI\valid.csv file 2021-01-03 18:41:47.646 INFO in 'deeppavlov.dataset_iterators.basic_classification_iterator'['basic_classification_iterator'] at line 74: Splitting field <> to new fields <<['train', 'valid']>> [nltk_data] Downloading package punkt to [nltk_data]
C:\Users\SAM\AppData\Roaming\nltk_data... [nltk_data] Package punkt is already up-to-date! [nltk_data] Downloading package stopwords to [nltk_data] C:\Users\SAM\AppData\Roaming\nltk_data... [nltk_data] Package stopwords is already up-to-date! [nltk_data] Downloading package perluniprops to [nltk_data]
C:\Users\SAM\AppData\Roaming\nltk_data... [nltk_data] Package perluniprops is already up-to-date! [nltk_data] Downloading package nonbreaking_prefixes to [nltk_data]
C:\Users\SAM\AppData\Roaming\nltk_data... [nltk_data] Package nonbreaking_prefixes is already up-to-date! E:\Anaconda\lib\site-packages\h5py_init_.py:40: UserWarning: h5py is running against HDF5 1.10.5 when it was built against 1.10.4, this may cause problems
'{0}.{1}.{2}'.format(*version.hdf5_built_version_tuple) Warning! HDF5 library version mismatched error The HDF5 header files used to compile this application do not match the version used by the HDF5 library to which this application is linked. Data corruption or segmentation faults may occur if the application continues. This can happen when an application was compiled by one version of HDF5 but linked with a different version of static or shared HDF5 library. You should recompile the application or check your shared library related settings such as 'LD_LIBRARY_PATH'. You can, at your own risk, disable this warning by setting the environment variable 'HDF5_DISABLE_VERSION_CHECK' to a value of '1'. Setting it to 2 or higher will suppress the warning messages totally. Headers are 1.10.4, library is 1.10.5 SUMMARY OF THE HDF5 CONFIGURATION =================================

General Information:

               HDF5 Version: 1.10.5
              Configured on: 2019-03-04
              Configured by: Visual Studio 15 2017 Win64
                Host system: Windows-10.0.17763
          Uname information: Windows
                   Byte sex: little-endian
         Installation point: C:/Program Files/HDF5

Compiling Options:

                 Build Mode:
          Debugging Symbols:
                    Asserts:
                  Profiling:
         Optimization Level:

Linking Options:

                  Libraries:

Statically Linked Executables: OFF LDFLAGS: /machine:x64 H5_LDFLAGS: AM_LDFLAGS: Extra libraries: Archiver: Ranlib:

Languages:

                          C: yes
                 C Compiler: C:/Program Files (x86)/Microsoft Visual Studio/2017/Community/VC/Tools/MSVC/14.16.27023/bin/Hostx86/x64/cl.exe 19.16.27027.1
                   CPPFLAGS:
                H5_CPPFLAGS:
                AM_CPPFLAGS:
                     CFLAGS:  /DWIN32 /D_WINDOWS /W3
                  H5_CFLAGS:
                  AM_CFLAGS:
           Shared C Library: YES
           Static C Library: YES

                    Fortran: OFF
           Fortran Compiler:
              Fortran Flags:
           H5 Fortran Flags:
           AM Fortran Flags:
     Shared Fortran Library: YES
     Static Fortran Library: YES

                        C++: ON
               C++ Compiler: C:/Program Files (x86)/Microsoft Visual Studio/2017/Community/VC/Tools/MSVC/14.16.27023/bin/Hostx86/x64/cl.exe 19.16.27027.1
                  C++ Flags: /DWIN32 /D_WINDOWS /W3 /GR /EHsc
               H5 C++ Flags:
               AM C++ Flags:
         Shared C++ Library: YES
         Static C++ Library: YES

                        JAVA: OFF
               JAVA Compiler:

Features:

                   Parallel HDF5: OFF
Parallel Filtered Dataset Writes:
              Large Parallel I/O:
              High-level library: ON
                    Threadsafety: OFF
             Default API mapping: v110
  With deprecated public symbols: ON
          I/O filters (external):  DEFLATE DECODE ENCODE
                             MPE:
                      Direct VFD:
                         dmalloc:
  Packages w/ extra debug output:
                     API Tracing: OFF
            Using memory checker: OFF
 Memory allocation sanity checks: OFF
          Function Stack Tracing: OFF
       Strict File Format Checks: OFF
    Optimization Instrumentation:

Thanks in advance!

Answer 1

Error message contains the answer:

Cannot find E:\NTI\valid.csv file

deeppavlov.dataset_readers.basic_classification_reader fails to find the file. You need to check paths in your configuration file.