Joeni/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: 3.1768
• Validation Loss: 3.5077
• Epoch: 19

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
4.2091	3.8246	0
3.9001	3.6943	1
3.7802	3.6283	2
3.7044	3.5885	3
3.6483	3.5617	4
3.5981	3.5464	5
3.5571	3.5362	6
3.5193	3.5247	7
3.4848	3.5205	8
3.4528	3.5129	9
3.4202	3.5090	10
3.3915	3.5002	11
3.3608	3.5041	12
3.3321	3.4999	13
3.3039	3.4969	14
3.2783	3.4997	15
3.2511	3.5030	16
3.2269	3.5071	17
3.2013	3.5086	18
3.1768	3.5077	19

Framework versions

• Transformers 4.26.1
• TensorFlow 2.11.0
• Datasets 2.10.1
• Tokenizers 0.13.2