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bert-base-turkish-sentiment-analysis – AI Model by sezenkarakus | AlphaNeural AI
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sezenkarakus
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bert-base-turkish-sentiment-analysis
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transformers
safetensors
bert
text-classification
generated_from_trainer
dbmdz/bert-base-turkish-cased
finetune
mit
autotrain_compatible
endpoints_compatible
us
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bert-base-turkish-sentiment-analysis
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: 0.2147
Accuracy: 0.9623
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.1477
1.0
1250
0.1226
0.961
0.0959
2.0
2500
0.1399
0.9615
0.0462
3.0
3750
0.1861
0.9633
0.0142
4.0
5000
0.2147
0.9623
Framework versions
Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
