distilgpt_new5_0030 / README.md
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metadata
tags:
  - generated_from_keras_callback
model-index:
  - name: distilgpt_new5_0030
    results: []

distilgpt_new5_0030

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

  • Train Loss: 2.4683
  • Validation Loss: 2.3476
  • Epoch: 29

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
2.4839 2.3639 0
2.4833 2.3630 1
2.4827 2.3620 2
2.4821 2.3632 3
2.4816 2.3617 4
2.4811 2.3614 5
2.4805 2.3613 6
2.4799 2.3613 7
2.4794 2.3600 8
2.4788 2.3589 9
2.4784 2.3582 10
2.4779 2.3563 11
2.4774 2.3579 12
2.4768 2.3563 13
2.4762 2.3561 14
2.4756 2.3554 15
2.4751 2.3539 16
2.4746 2.3550 17
2.4741 2.3534 18
2.4736 2.3530 19
2.4731 2.3522 20
2.4725 2.3522 21
2.4719 2.3525 22
2.4714 2.3519 23
2.4709 2.3505 24
2.4705 2.3489 25
2.4699 2.3488 26
2.4694 2.3498 27
2.4689 2.3472 28
2.4683 2.3476 29

Framework versions

  • Transformers 4.20.1
  • TensorFlow 2.8.2
  • Datasets 2.4.0
  • Tokenizers 0.12.1