CoryMagic/wikitext-distill

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

• Train Loss: 3.3345
• Validation Loss: 3.2376
• Epoch: 3

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
3.5754	3.3649	0
3.4385	3.3004	1
3.3769	3.2633	2
3.3345	3.2376	3

Framework versions

• Transformers 4.21.3
• TensorFlow 2.9.2
• Datasets 2.4.0
• Tokenizers 0.12.1