model2

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

• Train Loss: 6.6055
• Validation Loss: 6.6496
• Epoch: 9

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': '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': -999, '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}
• training_precision: mixed_float16

Training results

Train Loss	Validation Loss	Epoch
6.6715	6.6783	0
6.6813	6.6776	1
6.6217	6.6763	2
6.6457	6.6744	3
6.6205	6.6718	4
6.6760	6.6686	5
6.6169	6.6648	6
6.5780	6.6603	7
6.5993	6.6552	8
6.6055	6.6496	9

Framework versions

• Transformers 4.27.0.dev0
• TensorFlow 2.9.1
• Datasets 2.5.1
• Tokenizers 0.13.3