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Fine-tune-dbmdz-bert-base-turkish-cased – AI Model by Apoksk1 | AlphaNeural AI
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Fine-tune-dbmdz-bert-base-turkish-cased
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transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
dbmdz/bert-base-turkish-cased
finetune
mit
text-embeddings-inference
endpoints_compatible
us
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test_trainer
This model is a fine-tuned version of
dbmdz/bert-base-turkish-cased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.0081
Accuracy: 0.5121
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: 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: 100
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.5044
1.0
10254
0.3762
0.8908
0.9979
2.0
20508
1.0054
0.5143
1.0144
3.0
30762
1.0071
0.5121
1.0136
4.0
41016
1.0081
0.5121
Framework versions
Transformers 4.38.2
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2
