wine-reviews-gpt2

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

• Train Loss: 0.4021
• Train Acc: 0.8292
• Validation Loss: 0.5480
• Validation Acc: 0.7725
• Epoch: 4

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', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 24455, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
• training_precision: float32

Training results

Train Loss	Train Acc	Validation Loss	Validation Acc	Epoch
0.6596	0.7135	0.5482	0.7600	0
0.5374	0.7663	0.5345	0.7673	1
0.4826	0.7904	0.5329	0.7723	2
0.4366	0.8131	0.5459	0.7648	3
0.4021	0.8292	0.5480	0.7725	4

Framework versions

• Transformers 4.28.1
• TensorFlow 2.11.0
• Datasets 2.1.0
• Tokenizers 0.13.3