bert-duygua15 / README.md
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metadata
license: mit
base_model: dbmdz/bert-base-turkish-cased
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: bert-duygua15
    results: []

bert-duygua15

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: 0.3342
  • Accuracy: 0.9433

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: 64
  • eval_batch_size: 64
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 10

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 75 0.1786 0.9383
No log 2.0 150 0.1796 0.945
No log 3.0 225 0.2770 0.9233
No log 4.0 300 0.2481 0.9383
No log 5.0 375 0.2703 0.9408
No log 6.0 450 0.2989 0.94
0.0994 7.0 525 0.3262 0.9433
0.0994 8.0 600 0.3299 0.9408
0.0994 9.0 675 0.3213 0.9442
0.0994 10.0 750 0.3342 0.9433

Framework versions

  • Transformers 4.40.2
  • Pytorch 2.2.1+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1