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bert-turkish-ner-general – AI Model by ahmetyaylalioglu | AlphaNeural AI
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bert-turkish-ner-general
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transformers
safetensors
bert
token-classification
generated_from_trainer
dbmdz/bert-base-turkish-cased
finetune
mit
endpoints_compatible
us
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bert-turkish-ner-general
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: 0.1187
Precision: 0.9140
Recall: 0.9220
F1: 0.9180
Accuracy: 0.9715
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: 2e-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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
0.1569
1.0
1250
0.1202
0.8918
0.9071
0.8994
0.9648
0.0992
2.0
2500
0.1160
0.9084
0.9218
0.9151
0.9699
0.0662
3.0
3750
0.1208
0.9167
0.9280
0.9223
0.9714
Framework versions
Transformers 4.57.3
Pytorch 2.5.0+cu118
Datasets 2.21.0
Tokenizers 0.22.1
