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berturk_cased_profanity – AI Model by alierenak | AlphaNeural AI
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alierenak
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berturk_cased_profanity
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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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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: 0.1353
Accuracy: 0.9635
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: 1e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
338
0.1606
0.9502
0.3717
2.0
676
0.1353
0.9635
Framework versions
Transformers 4.35.0
Pytorch 2.1.0+cu121
Datasets 2.14.6
Tokenizers 0.14.1
