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
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