allenai / allenai/scibert

ValueError in parsing using genia

Aperta
#118 1 commento 0 reazioni 0 assegnatari Vedi su GitHub
Lingua principale
Python
Stelle
1.7k
Fork
232
Metriche di merge delle PR
Nessuna PR unita negli ultimi 30g

Descrizione

Hi,

I am interested in the parsing field of nlp and am studying sciBERT. In parsing using genia, ValueError was raised as shown in the attached file.
How can I solve this?

Many thanks!

ps) Other TASKs run fine.

2021-07-01 12:51:39,366 - INFO - allennlp.training.trainer - Training
0%| | 1/896 [00:04<1:00:43, 4.07s/it]
Traceback (most recent call last):
File "/home/centos/miniconda3/envs/test_38/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/home/centos/miniconda3/envs/test_38/lib/python3.8/runpy.py", line 87, in _run_code
exec(code, run_globals)
File "/home/centos/ML/src/allennlp/allennlp/run.py", line 21, in
run()
File "/home/centos/ML/src/allennlp/allennlp/run.py", line 18, in run
main(prog="allennlp")
File "/home/centos/ML/src/allennlp/allennlp/commands/__init__.py", line 102, in main
args.func(args)
File "/home/centos/ML/src/allennlp/allennlp/commands/train.py", line 117, in train_model_from_args
train_model_from_file(args.param_path,
File "/home/centos/ML/src/allennlp/allennlp/commands/train.py", line 163, in train_model_from_file
return train_model(params,
File "/home/centos/ML/src/allennlp/allennlp/commands/train.py", line 252, in train_model
metrics = trainer.train()
File "/home/centos/ML/src/allennlp/allennlp/training/trainer.py", line 539, in train
train_metrics = self._train_epoch(epoch)
File "/home/centos/ML/src/allennlp/allennlp/training/trainer.py", line 372, in _train_epoch
raise ValueError("nan loss encountered")
ValueError: nan loss encountered

![error](https://user-images.githubusercontent.com/82014275/124090597-f1fcff00-da8f-11eb-8fc0-2e611f1e03c5.png)

Guida per i contributori

Nessuna guida per i contributori indicizzata per questo repository

Valutazione

Questa issue non è ancora stata valutata.

Ricevi le nuove issue nella tua casella

Un breve riepilogo di issue GitHub adatte ai principianti.