turkish-ner-bert-base-turkish-cased-wikiann – AI Model by meryemmm22 | AlphaNeural AI

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meryemmm22/
turkish-ner-bert-base-turkish-cased-wikiann

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token-classification

generated_from_trainer

dbmdz/bert-base-turkish-cased

autotrain_compatible

endpoints_compatible

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turkish-ner-bert-base-turkish-cased-wikiann

This model is a fine-tuned version of dbmdz/bert-base-turkish-cased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0041
F1: 0.9964
Precision: 0.9960
Recall: 0.9969
Accuracy: 0.9989

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Precision	Recall	Accuracy
0.2617	1.0	625	0.0857	0.9280	0.9237	0.9323	0.9749
0.1127	2.0	1250	0.0432	0.9644	0.9627	0.9662	0.9886
0.0751	3.0	1875	0.0184	0.9845	0.9825	0.9865	0.9952
0.0268	4.0	2500	0.0075	0.9931	0.9926	0.9936	0.9978
0.0109	5.0	3125	0.0041	0.9964	0.9960	0.9969	0.9989

Framework versions

Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.3.2
Tokenizers 0.21.0