mak109/distilgpt2-finetuned-lyrics

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

• Train Loss: 3.0226
• Validation Loss: 3.0275
• 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': '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
3.2907	3.1500	0
3.1607	3.0962	1
3.1005	3.0664	2
3.0573	3.0430	3
3.0226	3.0275	4

Framework versions

• Transformers 4.18.0
• TensorFlow 2.6.3
• Datasets 2.1.0
• Tokenizers 0.12.1