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BERT_swedish-ner – AI Model by hkaraoguz | AlphaNeural AI

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hkaraoguz/
BERT_swedish-ner

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token-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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BERT_swedish-ner

This model is a fine-tuned version of KB/bert-base-swedish-cased on the wikiann dataset. It achieves the following results on the evaluation set:

Loss: 0.1316
Precision: 0.9340
Recall: 0.9419
F1: 0.9379
Accuracy: 0.9800

Model description

Finetuned the model from KB/bert-base-swedish-cased for Swedish NER task. The model can classify three categories:

PER (person names)
LOC (Location)
ORG (Organization)

Intended uses & limitations

NER, token classification

Training and evaluation data

wikiann-SV dataset

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 12
eval_batch_size: 12
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Framework versions

Transformers 4.22.1
Pytorch 1.12.1+cu113
Datasets 2.4.0
Tokenizers 0.12.1