Skip to content

Minor bug fixes on run_ner.py #1918

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
LysandreJik merged 1 commit into from
Nov 25, 2019
Merged

Minor bug fixes on run_ner.py #1918

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
4 changes: 2 additions & 2 deletions examples/run_ner.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -127,7 +127,7 @@ def train(args, train_dataset, model, tokenizer, labels, pad_token_label_id):
"attention_mask": batch[1],
"labels": batch[3]}
if args.model_type != "distilbert":
inputs["token_type_ids"]: batch[2] if args.model_type in ["bert", "xlnet"] else None # XLM and RoBERTa don"t use segment_ids
inputs["token_type_ids"] = batch[2] if args.model_type in ["bert", "xlnet"] else None # XLM and RoBERTa don"t use segment_ids

outputs = model(**inputs)
loss = outputs[0] # model outputs are always tuple in pytorch-transformers (see doc)
Expand Down Expand Up @@ -217,7 +217,7 @@ def evaluate(args, model, tokenizer, labels, pad_token_label_id, mode, prefix=""
"attention_mask": batch[1],
"labels": batch[3]}
if args.model_type != "distilbert":
inputs["token_type_ids"]: batch[2] if args.model_type in ["bert", "xlnet"] else None # XLM and RoBERTa don"t use segment_ids
inputs["token_type_ids"] = batch[2] if args.model_type in ["bert", "xlnet"] else None # XLM and RoBERTa don"t use segment_ids
outputs = model(**inputs)
tmp_eval_loss, logits = outputs[:2]

Expand Down