lewtun/distilgpt2-finetuned-shakespeare-2

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

• Train Loss: 3.1788
• Validation Loss: 3.5061
• 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
4.2119	3.8250	0
3.8997	3.6971	1
3.7803	3.6246	2
3.7080	3.5948	3
3.6475	3.5694	4
3.6016	3.5486	5
3.5598	3.5395	6
3.5200	3.5272	7
3.4858	3.5161	8
3.4519	3.5131	9
3.4214	3.5058	10
3.3916	3.5044	11
3.3608	3.5085	12
3.3342	3.5016	13
3.3074	3.5018	14
3.2784	3.5015	15
3.2531	3.4982	16
3.2304	3.5036	17
3.1988	3.5071	18
3.1788	3.5061	19

Framework versions

• Transformers 4.22.2
• TensorFlow 2.8.2
• Datasets 2.5.2
• Tokenizers 0.12.1