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---
library_name: transformers
license: mit
language:
- fa
pipeline_tag: token-classification
---
Named entity recognition On Persian dataset
traindataset=20484 persian sentense
valdataset=2561
AutoTokenizer=HooshvareLab/bert-fa-base-uncased
ner_tags=
['O', 'B-pro',
'I-pro',
'B-pers',
'I-pers',
'B-org',
'I-org',
'B-loc',
'I-loc',
'B-fac',
'I-fac',
'B-event',
'I-event']
training_args=
learning_rate=2e-5,
per_device_train_batch_size=16,
per_device_eval_batch_size=16,
num_train_epochs=4,
weight_decay=0.01
Training Loss=0.001000
sample1:
'entity': 'B-loc',
'score': 0.9998902,
'index': 2,
'word': 'تهران',
sample2:
'entity': 'B-pers',
'score': 0.99988234,
'index': 2,
'word': 'عباس', |