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turkish-bert-base-cased-tquad2 – AI Model by BugraHamza | AlphaNeural AI
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BugraHamza
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turkish-bert-base-cased-tquad2
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transformers
pytorch
bert
question-answering
generated_from_trainer
t_qu_ad2
mit
endpoints_compatible
us
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turkish-bert-base-cased-tquad2
This model is a fine-tuned version of
dbmdz/bert-base-turkish-cased
on the t_qu_ad2 dataset. It achieves the following results on the evaluation set:
Loss: 2.0776
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: 48
eval_batch_size: 48
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
297
1.7146
No log
2.0
594
1.9282
No log
3.0
891
2.0776
Framework versions
Transformers 4.26.1
Pytorch 1.13.0
Datasets 2.1.0
Tokenizers 0.13.2
