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bert-duygua11-12 – AI Model by asude55 | AlphaNeural AI
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asude55
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bert-duygua11-12
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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-duygua11-12
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: 0.0735
Accuracy: 0.9747
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: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.0717
1.0
6886
0.0735
0.9747
Framework versions
Transformers 4.40.1
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1
