sezenkarakus's picture
Ok!
b8f587d verified
metadata
license: mit
base_model: dbmdz/bert-base-turkish-cased
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: bert-base-turkish-sentiment-analysis
    results: []

bert-base-turkish-sentiment-analysis

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: 0.2147
  • Accuracy: 0.9623

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 4

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.1477 1.0 1250 0.1226 0.961
0.0959 2.0 2500 0.1399 0.9615
0.0462 3.0 3750 0.1861 0.9633
0.0142 4.0 5000 0.2147 0.9623

Framework versions

  • Transformers 4.41.2
  • Pytorch 2.3.0+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1