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turkish_harmfull_text_classfication – AI Model by AIStudioGPT | AlphaNeural AI
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AIStudioGPT
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turkish_harmfull_text_classfication
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safetensors
bert
generated_from_trainer
dbmdz/bert-base-turkish-uncased
finetune
mit
us
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Model card
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results
This model is a fine-tuned version of
dbmdz/bert-base-turkish-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0063
Accuracy: 0.9984
F1: 0.9988
Precision: 0.9995
Recall: 0.9980
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: 128
eval_batch_size: 128
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 512
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
Precision
Recall
0.0659
1.0
169
0.0076
0.9978
0.9983
0.9975
0.9990
0.004
2.0
338
0.0063
0.9984
0.9988
0.9995
0.9980
Framework versions
Transformers 4.42.4
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
