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clarapan/distilgpt2-finetuned-wikitext2

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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Model Card

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distilgpt2-finetuned-wikitext2

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

  • —Loss: 7.8908

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:

  • —learning_rate: 0.0001
  • —trainbatchsize: 8
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 3.0

Training results

Training LossEpochStepValidation Loss
0.72671.077747.0874
0.37522.0155487.5818
0.2353.0233227.8927

Framework versions

  • —Transformers 4.40.0.dev0
  • —Pytorch 2.3.0.dev20240229
  • —Datasets 2.18.0
  • —Tokenizers 0.15.1