Error for QA task.

[neolifer]

ConfigurationError Traceback (most recent call last)

in () 9 10 model_trainer = ModelTrainer(configuration, gpu=args.gpu) ---> 11 model_trainer.train() in train(self) 19 20 def train(self): ---> 21 problem = self.experiment_utils.build_problem() 22 model = self.experiment_utils.build_model() 23 /content/GraphMask/codes/utils/experiment_utils.py in build_problem(self) 31 problem_class = QAProblem 32 ---> 33 problem = problem_class(self.configuration) 34 35 return problem /content/GraphMask/codes/problems/qa/qa_problem.py in __init__(self, configuration) 44 # self.predictor = pretrained.load_predictor("coref") 45 self.predictor = Predictor.from_path( ---> 46 "https://s3-us-west-2.amazonaws.com/allennlp/models/coref-model-2018.02.05.tar.gz") 47 # self.predictor = pretrained.load_predictor("coref-spanbert") 48 # self.predictor = Predictor.from_path( /usr/local/lib/python3.7/dist-packages/allennlp/predictors/predictor.py in from_path(cls, archive_path, predictor_name, cuda_device, dataset_reader_to_load, frozen, import_plugins, overrides) /usr/local/lib/python3.7/dist-packages/allennlp/models/archival.py in load_archive(archive_file, cuda_device, overrides, weights_file) 203 else: 204 logger.warning(f"Archived file {replacement_filename} not found! At train time " --> 205 f"this file was located at {original_filename}. This may be " 206 "because you are loading a serialization directory. Attempting to " 207 "load the file from its train-time location.") /usr/local/lib/python3.7/dist-packages/allennlp/models/archival.py in _load_dataset_readers(config, serialization_dir) 229 serialization_dir=serialization_dir, 230 cuda_device=cuda_device) --> 231 232 return Archive(model=model, config=config) 233 /usr/local/lib/python3.7/dist-packages/allennlp/common/from_params.py in from_params(cls, params, constructor_to_call, constructor_to_inspect, **extras) /usr/local/lib/python3.7/dist-packages/allennlp/common/params.py in pop_choice(self, key, choices, default_to_first_choice, allow_class_names) 350 This is to allow e.g. specifying a model type as my_library.my_model.MyModel 351 and importing it on the fly. Our check for "looks like" is extremely lenient --> 352 and consists of checking that the value contains a '.'. 353 """ 354 default = choices[0] if default_to_first_choice else self.DEFAULT ConfigurationError: coref not in acceptable choices for dataset_reader.type: ['babi', 'conll2003', 'interleaving', 'multitask', 'multitask_shim', 'sequence_tagging', 'sharded', 'text_classification_json']. You should either use the --include-package flag to make sure the correct module is loaded, or use a fully qualified class name in your config file like {"model": "my_module.models.MyModel"} to have it imported automatically.

[neolifer]

Looks like it has to do with the allennlp version as i notice the configuration style changed after v1.0. So i tried to install the right version which is 0.9.0 but it still wont work. The error message now is TypeError: ArrayField.empty_field: return type None is not a <class 'allennlp.data.fields.field.Field'>. Then i tried the newest version but the pretrained model with newest version is too large to run.

[neolifer]

Problem solved by install allennlp-models and replace spacy with version 2.2.1. The following is what i did. pip install allennlp==0.9.0 pip install -U allennlp-models pip install allennlp==0.9.0 pip install spacy==2.2.1 pip install -U nltk

Then replace the predictor in qa.problem by self.predictor = allennlp.pretrained.neural_coreference_resolution_lee_2017()