sifirdan-turkce-duygu-analizi – AI Model by Hamitcangultekin | AlphaNeural AI

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Hamitcangultekin/
sifirdan-turkce-duygu-analizi

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text-classification

generated_from_trainer

dbmdz/bert-base-turkish-cased

text-embeddings-inference

endpoints_compatible

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sifirdan-turkce-duygu-analizi

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: 0.0000
Accuracy: 1.0

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: Use OptimizerNames.ADAMW_TORCH_FUSED 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	Accuracy
0.0017	1.0	625	0.0000	1.0
0.0000	2.0	1250	0.0000	1.0
0.0000	3.0	1875	0.0000	1.0

Framework versions

Transformers 5.10.2
Pytorch 2.11.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2