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bert-base-turkish-cased-7allV03-tr – AI Model by uisikdag | AlphaNeural AI
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uisikdag
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bert-base-turkish-cased-7allV03-tr
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transformers
pytorch
tensorboard
bert
text-classification
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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Model card
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umit_7allV3_full
Dataset:
https://www.kaggle.com/datasets/savasy/ttc4900
0:siyaset 1:dünya 2:ekonomi 3:kültür 4:saglik 5:spor 6:teknoloji
This model is a fine-tuned version of
dbmdz/bert-base-turkish-cased
on given dataset. It achieves the following results on the evaluation set:
Loss: 0.2934
Accuracy: 0.9293
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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.2867
1.0
214
0.2880
0.9136
0.1672
2.0
428
0.2658
0.9327
0.0735
3.0
642
0.2934
0.9293
Framework versions
Transformers 4.26.1
Pytorch 1.13.1+cu117
Datasets 2.10.1
Tokenizers 0.13.2
