I have a function below that tokenizes and aligns my labels, but it is giving me an error:
def tokenize_and_align_labels(examples, label_all_tokens=True):
tokenized_inputs = tokenizer(examples["tokens"], truncation=True, is_split_into_words=True)
labels = []
for i, label in enumerate(examples["ner_tags"]):
word_ids = tokenized_inputs.word_ids(batch_index=i)
# word_ids() => Return a list mapping the tokens
# to their actual word in the initial sentence.
# It Returns a list indicating the word corresponding to each token.
previous_word_idx = None
label_ids = []
# Special tokens like `<s>` and `<\s>` are originally mapped to None
# We need to set the label to -100 so they are automatically ignored in the loss function.
for word_idx in word_ids:
if word_idx is None:
# set –100 as the label for these special tokens
label_ids.append(-100)
# For the other tokens in a word, we set the label to either the current label or -100, depending on
# the label_all_tokens flag.
elif word_idx != previous_word_idx:
# if current word_idx is != prev then its the most regular case
# and add the corresponding token
label_ids.append(label[word_idx])
else:
# to take care of sub-words which have the same word_idx
# set -100 as well for them, but only if label_all_tokens == False
label_ids.append(label[word_idx] if label_all_tokens else -100)
# mask the subword representations after the first subword
previous_word_idx = word_idx
labels.append(label_ids)
tokenized_inputs["labels"] = labels
return tokenized_inputs
I located the line causing the error:
word_ids = tokenized_inputs.word_ids(batch_index=1)
This is the error produced:
My tokenized inputs, if run separately, without calling the function work fine as shown in the pic:
Can anyone please help me with the error? I spent 3 hours on this and it isn't working. Thanks!
For better explanation, here's the colab file too:https://colab.research.google.com/drive/1UJtc8TcuyCyFURKM1txYsqF1WKG_H6jZ#scrollTo=wc6AA6FMqDNq&uniqifier=1
