gpt2_fine_tune_with_callback_PolynomialDecay

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Ashraf-kasem/gpt2_fine_tune_with_callback_PolynomialDecay

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

• Train Loss: 3.9746
• Train Accuracy: 0.0063
• Validation Loss: 4.3079
• Validation Accuracy: 0.0044
• 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: {'name': 'Adam', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 14676, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
• training_precision: mixed_float16

Training results

Framework versions

• Transformers 4.25.1
• TensorFlow 2.9.0
• Datasets 2.8.0
• Tokenizers 0.13.2