There is a bug in the configs/train_lstm.jsonnet file

[Diison]

command:

allennlp train -f --include-package tagging -s /tmp/tagging/lstm configs/train_lstm.jsonnet

ERROR:

2021-03-02 12:25:12,430 - INFO - allennlp.modules.token_embedders.embedding - Reading pretrained embeddings from file
2021-03-02 12:25:13,722 - INFO - allennlp.common.file_utils - cache of http://nlp.stanford.edu/data/glove.6B.zip is up-to-date
2021-03-02 12:25:14,726 - INFO - allennlp.common.file_utils - cache of http://nlp.stanford.edu/data/glove.6B.zip is up-to-date
400000it [00:02, 149772.39it/s]
2021-03-02 12:25:17,402 - CRITICAL - root - Uncaught exception
Traceback (most recent call last):
File "/home/s2020017/Anaconda_3.7/envs/owl2vec3/bin/allennlp", line 8, in
sys.exit(run())
File "/home/s2020017/Anaconda_3.7/envs/owl2vec3/lib/python3.7/site-packages/allennlp/main.py", line 34, in run
main(prog="allennlp")
File "/home/s2020017/Anaconda_3.7/envs/owl2vec3/lib/python3.7/site-packages/allennlp/commands/init.py", line 119, in main
args.func(args)
File "/home/s2020017/Anaconda_3.7/envs/owl2vec3/lib/python3.7/site-packages/allennlp/commands/train.py", line 119, in train_model_from_args
file_friendly_logging=args.file_friendly_logging,
File "/home/s2020017/Anaconda_3.7/envs/owl2vec3/lib/python3.7/site-packages/allennlp/commands/train.py", line 178, in train_model_from_file
file_friendly_logging=file_friendly_logging,
File "/home/s2020017/Anaconda_3.7/envs/owl2vec3/lib/python3.7/site-packages/allennlp/commands/train.py", line 242, in train_model
file_friendly_logging=file_friendly_logging,
File "/home/s2020017/Anaconda_3.7/envs/owl2vec3/lib/python3.7/site-packages/allennlp/commands/train.py", line 456, in train_worker
local_rank=process_rank,
File "/home/s2020017/Anaconda_3.7/envs/owl2vec3/lib/python3.7/site-packages/allennlp/common/from_params.py", line 604, in from_params
**extras,
File "/home/s2020017/Anaconda_3.7/envs/owl2vec3/lib/python3.7/site-packages/allennlp/common/from_params.py", line 634, in from_params
return constructor_to_call(**kwargs) # type: ignore
File "/home/s2020017/Anaconda_3.7/envs/owl2vec3/lib/python3.7/site-packages/allennlp/commands/train.py", line 712, in from_partial_objects
model = model.construct(vocab=vocabulary_, serialization_dir=serialization_dir)
File "/home/s2020017/Anaconda_3.7/envs/owl2vec3/lib/python3.7/site-packages/allennlp/common/lazy.py", line 62, in construct
return self._constructor(**kwargs)
File "/home/s2020017/Anaconda_3.7/envs/owl2vec3/lib/python3.7/site-packages/allennlp/common/from_params.py", line 470, in constructor
return value_cls.from_params(params=deepcopy(popped_params), **constructor_extras)
File "/home/s2020017/Anaconda_3.7/envs/owl2vec3/lib/python3.7/site-packages/allennlp/common/from_params.py", line 604, in from_params
**extras,
File "/home/s2020017/Anaconda_3.7/envs/owl2vec3/lib/python3.7/site-packages/allennlp/common/from_params.py", line 632, in from_params
kwargs = create_kwargs(constructor_to_inspect, cls, params, **extras)
File "/home/s2020017/Anaconda_3.7/envs/owl2vec3/lib/python3.7/site-packages/allennlp/common/from_params.py", line 200, in create_kwargs
cls.name, param_name, annotation, param.default, params, **extras
File "/home/s2020017/Anaconda_3.7/envs/owl2vec3/lib/python3.7/site-packages/allennlp/common/from_params.py", line 307, in pop_and_construct_arg
return construct_arg(class_name, name, popped_params, annotation, default, **extras)
File "/home/s2020017/Anaconda_3.7/envs/owl2vec3/lib/python3.7/site-packages/allennlp/common/from_params.py", line 341, in construct_arg
return annotation.from_params(params=popped_params, **subextras)
File "/home/s2020017/Anaconda_3.7/envs/owl2vec3/lib/python3.7/site-packages/allennlp/common/from_params.py", line 604, in from_params
**extras,
File "/home/s2020017/Anaconda_3.7/envs/owl2vec3/lib/python3.7/site-packages/allennlp/common/from_params.py", line 632, in from_params
kwargs = create_kwargs(constructor_to_inspect, cls, params, **extras)
File "/home/s2020017/Anaconda_3.7/envs/owl2vec3/lib/python3.7/site-packages/allennlp/common/from_params.py", line 200, in create_kwargs
cls.name, param_name, annotation, param.default, params, **extras
File "/home/s2020017/Anaconda_3.7/envs/owl2vec3/lib/python3.7/site-packages/allennlp/common/from_params.py", line 307, in pop_and_construct_arg
return construct_arg(class_name, name, popped_params, annotation, default, **extras)
File "/home/s2020017/Anaconda_3.7/envs/owl2vec3/lib/python3.7/site-packages/allennlp/common/from_params.py", line 391, in construct_arg
**extras,
File "/home/s2020017/Anaconda_3.7/envs/owl2vec3/lib/python3.7/site-packages/allennlp/common/from_params.py", line 341, in construct_arg
return annotation.from_params(params=popped_params, **subextras)
File "/home/s2020017/Anaconda_3.7/envs/owl2vec3/lib/python3.7/site-packages/allennlp/common/from_params.py", line 604, in from_params
**extras,
File "/home/s2020017/Anaconda_3.7/envs/owl2vec3/lib/python3.7/site-packages/allennlp/common/from_params.py", line 634, in from_params
return constructor_to_call(**kwargs) # type: ignore
File "/home/s2020017/Anaconda_3.7/envs/owl2vec3/lib/python3.7/site-packages/allennlp/modules/token_embedders/embedding.py", line 156, in init
pretrained_file, embedding_dim, vocab, vocab_namespace
File "/home/s2020017/Anaconda_3.7/envs/owl2vec3/lib/python3.7/site-packages/allennlp/modules/token_embedders/embedding.py", line 370, in _read_pretrained_embeddings_file
return _read_embeddings_from_text_file(file_uri, embedding_dim, vocab, namespace)
File "/home/s2020017/Anaconda_3.7/envs/owl2vec3/lib/python3.7/site-packages/allennlp/modules/token_embedders/embedding.py", line 418, in _read_embeddings_from_text_file
"No embeddings of correct dimension found; you probably "
allennlp.common.checks.ConfigurationError: No embeddings of correct dimension found; you probably misspecified your embedding_dim parameter, or didn't pre-populate your Vocabulary

[urieli]

I got the same error when running against allennlp v2.9.3.

Fixed it with the following PR #19