                     "summary of the saved model is displayed. Otherwise a summary of the model "
                     "that would be created by the chosen plugin and configuration settings is "
                     "displayed.")))
          argument_list.append(dict(
              opts=("-bs", "--batch-size"),
              action=Slider,
              min_max=(1, 256),
              rounding=1,
 
</s> remove #: lib/cli/args.py:961 lib/cli/args.py:973 lib/cli/args.py:984
#: lib/cli/args.py:1070
 </s> add #: lib/cli/args.py:959
msgid "Freeze the weights of the model. Freezing weights means that some of the parameters in the model will no longer continue to learn, but those that are not frozen will continue to learn. For most models, this will freeze the encoder, but some models may have configuration options for freezing other layers."
msgstr ""

#: lib/cli/args.py:972 lib/cli/args.py:984 lib/cli/args.py:995
#: lib/cli/args.py:1081 </s> remove #: lib/cli/args.py:1014
 </s> add #: lib/cli/args.py:1025 </s> remove #: lib/cli/args.py:962
 </s> add #: lib/cli/args.py:973 </s> remove #: lib/cli/args.py:1025
 </s> add #: lib/cli/args.py:1036 </s> remove #: lib/cli/args.py:1013 lib/cli/args.py:1024 lib/cli/args.py:1035
 </s> add #: lib/cli/args.py:1024 lib/cli/args.py:1035 lib/cli/args.py:1046
        argument_list.append(dict(
            opts=("-f", "--freeze"),
            action="store_true",
            dest="freeze",
            default=False,
            group=_("model"),
            help=_("Freeze the weights of the model. Freezing weights means that some of the "
                   "parameters in the model will no longer continue to learn, but those that are "
                   "not frozen will continue to learn. For most models, this will freeze the "
                   "encoder, but some models may have configuration options for freezing other "
                   "layers.")))
                     "summary of the saved model is displayed. Otherwise a summary of the model "
                     "that would be created by the chosen plugin and configuration settings is "
                     "displayed.")))
        argument_list.append(dict(
            opts=("-f", "--freeze"),
            action="store_true",
            dest="freeze",
            default=False,
            group=_("model"),
            help=_("Freeze the weights of the model. Freezing weights means that some of the "
                   "parameters in the model will no longer continue to learn, but those that are "
                   "not frozen will continue to learn. For most models, this will freeze the "
                   "encoder, but some models may have configuration options for freezing other "
                   "layers.")))
          argument_list.append(dict(
              opts=("-bs", "--batch-size"),
              action=Slider,
              min_max=(1, 256),
              rounding=1,
keep keep add keep keep keep keep keep
 scripts.train - Add freeze weights option
lib.config:
  - Better formatting for .ini files
  - Support multi-select options
gui - Add support for multi-select config items 
lib/cli/args.py