tatiana-merz/turkic-cyrillic-classifier

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turkic-cyrillic-classifier

This model is a fine-tuned version of bert-base-multilingual-cased on an tatiana-merz/cyrillicturkiclangs dataset. It achieves the following results on the evaluation set:

{'test_loss': 0.013604652136564255,
 'test_accuracy': 0.997,
 'test_f1': 0.9969996069718668,
 'test_runtime': 60.5479,
 'test_samples_per_second': 148.643,
 'test_steps_per_second': 2.329}

Model description

The model classifies text based on a provided Turkic language written in Cyrillic script.

Languages

• —bak - Bashkir
• —chv - Chuvash
• —sah - Sakha
• —tat - Tatar
• —kir - Kyrgyz
• —kaz - Kazakh
• —tyv - Tuvinian
• —krc - Karachay-Balkar
• —rus - Russian

Intended uses & limitations

Training and evaluation data

cyrillic_turkic_langs

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 2e-05
• —trainbatchsize: 64
• —evalbatchsize: 64
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 2

Training results

Framework versions

• —Transformers 4.27.0
• —Pytorch 1.13.1+cu116
• —Datasets 2.10.1