arjunpatel/distilgpt2-finetuned-pokemon-moves

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

• Train Loss: 1.8709
• Validation Loss: 2.3512
• Epoch: 14

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
3.7146	3.2288	0
3.1159	2.8961	1
2.8592	2.7388	2
2.6684	2.6423	3
2.5358	2.5709	4
2.4330	2.5137	5
2.3308	2.4736	6
2.2499	2.4444	7
2.1843	2.4115	8
2.1322	2.3931	9
2.0683	2.3829	10
2.0122	2.3669	11
1.9676	2.3596	12
1.9087	2.3591	13
1.8709	2.3512	14

Framework versions

• Transformers 4.18.0
• TensorFlow 2.8.0
• Datasets 2.1.0
• Tokenizers 0.11.0