[FEA]: Update SID training notebook and script

[efajardo-nv]

Is this a new feature, an improvement, or a change to existing functionality?

New Feature

How would you describe the priority of this feature request

Medium

Please provide a clear description of problem this feature solves

Running into the following with the SID training notebook:

• Training dataset path is invalid and needs to be updated.
• Model path is invalid and needs to be updated.
• Getting this error from training cell:

AttributeError: 'BertEncoder' object has no attribute 'gradient_checkpointing'

Running into the following with the SID training script:

• Training dataset path in example usage is invalid and needs to be updated.
• Model path in example usage is invalid and needs to be updated.
• Getting this when running script:

File "sid-minibert-20211021-script.py", line 31, in <module>
    from sklearn.metrics import (f1_score, accuracy_score,
  File "/opt/conda/envs/morpheus/lib/python3.8/site-packages/sklearn/__init__.py", line 80, in <module>
    from .base import clone
  File "/opt/conda/envs/morpheus/lib/python3.8/site-packages/sklearn/base.py", line 21, in <module>
    from .utils import _IS_32BIT
  File "/opt/conda/envs/morpheus/lib/python3.8/site-packages/sklearn/utils/__init__.py", line 23, in <module>
    from .class_weight import compute_class_weight, compute_sample_weight
  File "/opt/conda/envs/morpheus/lib/python3.8/site-packages/sklearn/utils/class_weight.py", line 7, in <module>
    from .validation import _deprecate_positional_args
  File "/opt/conda/envs/morpheus/lib/python3.8/site-packages/sklearn/utils/validation.py", line 26, in <module>
    from .fixes import _object_dtype_isnan
  File "/opt/conda/envs/morpheus/lib/python3.8/site-packages/sklearn/utils/fixes.py", line 18, in <module>
    import scipy.stats
  File "/opt/conda/envs/morpheus/lib/python3.8/site-packages/scipy/stats/__init__.py", line 467, in <module>
    from ._stats_py import *
  File "/opt/conda/envs/morpheus/lib/python3.8/site-packages/scipy/stats/_stats_py.py", line 46, in <module>
    from . import distributions
  File "/opt/conda/envs/morpheus/lib/python3.8/site-packages/scipy/stats/distributions.py", line 8, in <module>
    from ._distn_infrastructure import (rv_discrete, rv_continuous, rv_frozen)
  File "/opt/conda/envs/morpheus/lib/python3.8/site-packages/scipy/stats/_distn_infrastructure.py", line 24, in <module>
    from scipy import optimize
  File "/opt/conda/envs/morpheus/lib/python3.8/site-packages/scipy/__init__.py", line 211, in __getattr__
    return _importlib.import_module(f'scipy.{name}')
  File "/opt/conda/envs/morpheus/lib/python3.8/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/opt/conda/envs/morpheus/lib/python3.8/site-packages/scipy/optimize/__init__.py", line 413, in <module>
    from ._linprog import linprog, linprog_verbose_callback
  File "/opt/conda/envs/morpheus/lib/python3.8/site-packages/scipy/optimize/_linprog.py", line 21, in <module>
    from ._linprog_highs import _linprog_highs
  File "/opt/conda/envs/morpheus/lib/python3.8/site-packages/scipy/optimize/_linprog_highs.py", line 20, in <module>
    from ._highs._highs_wrapper import _highs_wrapper

The above error goes away if the sklearn import is moved before the torch imports but then this new error is seen:

Data Preprocessing...
Traceback (most recent call last):
  File "/opt/conda/envs/morpheus/lib/python3.8/site-packages/cudf/utils/utils.py", line 256, in __getattr__
    return self[key]
  File "/opt/conda/envs/morpheus/lib/python3.8/contextlib.py", line 75, in inner
    return func(*args, **kwds)
  File "/opt/conda/envs/morpheus/lib/python3.8/site-packages/cudf/core/dataframe.py", line 1178, in __getitem__
    return self._get_columns_by_label(arg, downcast=True)
  File "/opt/conda/envs/morpheus/lib/python3.8/contextlib.py", line 75, in inner
    return func(*args, **kwds)
  File "/opt/conda/envs/morpheus/lib/python3.8/site-packages/cudf/core/dataframe.py", line 1914, in _get_columns_by_label
    new_data = super()._get_columns_by_label(labels, downcast)
  File "/opt/conda/envs/morpheus/lib/python3.8/contextlib.py", line 75, in inner
    return func(*args, **kwds)
  File "/opt/conda/envs/morpheus/lib/python3.8/site-packages/cudf/core/frame.py", line 411, in _get_columns_by_label
    return self._data.select_by_label(labels)
  File "/opt/conda/envs/morpheus/lib/python3.8/site-packages/cudf/core/column_accessor.py", line 343, in select_by_label
    return self._select_by_label_grouped(key)
  File "/opt/conda/envs/morpheus/lib/python3.8/site-packages/cudf/core/column_accessor.py", line 463, in _select_by_label_grouped
    result = self._grouped_data[key]
KeyError: 'text'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "sid-minibert-20211021-script.py", line 240, in <module>
    main()
  File "sid-minibert-20211021-script.py", line 217, in main
    train_dataloader, val_dataloader, idx2label = data_preprocessing(
  File "sid-minibert-20211021-script.py", line 62, in data_preprocessing
    tokenizer_output = cased_tokenizer(df.text,
  File "/opt/conda/envs/morpheus/lib/python3.8/site-packages/cudf/utils/utils.py", line 258, in __getattr__
    raise AttributeError(
AttributeError: DataFrame object has no attribute text

Describe your ideal solution

Errors may be result of not using same versions of torch and transformers from when notebook and script were created. One solution could be to document those versions so they can be installed before running. Alternatively, notebook and script can be updated to work with torch version included with Morpheus.

Describe any alternatives you have considered

No response

Additional context

No response

Code of Conduct

• I agree to follow this project's Code of Conduct
• I have searched the open feature requests and have found no duplicates for this feature request