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Named Entity Recognition on Bangla Language

Fine Tuning BERT for NER on Bengali Language Tagging using HuggingFace

Correspondence Label ID and Label Name

Label ID Label Name
0 O
1 B-PER
2 I-PER
3 B-ORG
4 I-ORG
5 B-LOC
6 I-LOC

Evaluation and Validation

Name Precision Recall F1 Accuracy
Train/Val set 0.963899 0.964770 0.964334 0.981252
Test set 0.952855 0.965105 0.958941 0.981349

Transformers AutoModelForTokenClassification

from transformers import AutoTokenizer, AutoModelForTokenClassification
from transformers import pipeline

tokenizer = AutoTokenizer.from_pretrained("engineersakibcse47/NER_on_Bangla_Language")
model_ner = AutoModelForTokenClassification.from_pretrained("engineersakibcse47/NER_on_Bangla_Language")

pipe = pipeline("ner", model=model_ner, tokenizer=tokenizer, aggregation_strategy="simple")

sample = "বসনিয়া ও হার্জেগোভিনা"

result = pipe(sample)
result
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Dataset used to train engineersakibcse47/NER_on_Bangla_Language