Manuel-I/distilgpt2-finetuned-shakespeare

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

• Train Loss: 3.2540
• Validation Loss: 3.4994
• Epoch: 16

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
4.2103	3.8318	0
3.9016	3.7030	1
3.7804	3.6243	2
3.7072	3.5896	3
3.6501	3.5631	4
3.6008	3.5464	5
3.5605	3.5322	6
3.5229	3.5230	7
3.4857	3.5189	8
3.4517	3.5118	9
3.4204	3.5034	10
3.3916	3.4978	11
3.3621	3.4949	12
3.3332	3.5003	13
3.3063	3.4998	14
3.2773	3.5015	15
3.2540	3.4994	16

Framework versions

• Transformers 4.26.1
• TensorFlow 2.11.0
• Datasets 2.10.0
• Tokenizers 0.13.2