tobijen/distilgpt2_right_headings

This model is a fine-tuned version of distilgpt2 on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 2.5151
• Validation Loss: 7.3029
• Epoch: 5

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': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
• training_precision: float32

Training results

Train Loss	Validation Loss	Epoch
2.8208	6.9815	0
2.7172	7.0894	1
2.6835	7.1183	2
2.6252	7.2063	3
2.5612	7.2448	4
2.5151	7.3029	5

Framework versions

• Transformers 4.31.0
• TensorFlow 2.12.0
• Datasets 2.13.1
• Tokenizers 0.13.3