README.md

metadata

license: mit
tags:
  - generated_from_keras_callback
model-index:
  - name: kmkarakaya/turkishReviews-ds
    results: []
widget:
  - text: Aldığım üründe çıkan arıza
    example_title: Example 1
  - text: Çağrı merkezini aradım.
    example_title: Example 2
  - text: Uçak biletini değiştirmek istedim ama
    example_title: Example 3
  - text: Ürün değiştirmek için
    example_title: Example 4

kmkarakaya/turkishReviews-ds

This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 4.5744
• Validation Loss: 4.5366
• Epoch: 2

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:

• optimizer: {'inner_optimizer': {'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'WarmUp', 'config': {'initial_learning_rate': 5e-05, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 11152, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'passive_serialization': True}, 'warmup_steps': 1000, 'power': 1.0, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
• training_precision: mixed_float16

Training results

Train Loss	Validation Loss	Epoch
4.5746	4.5366	0
4.5745	4.5366	1
4.5744	4.5366	2

Framework versions

• Transformers 4.20.1
• TensorFlow 2.6.2
• Datasets 2.3.2
• Tokenizers 0.12.1