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d2weber/german-gpt2-finetuned-coldmirror-hpodcast1

sourceHugging Facemitupdated 3y agoView on Hugging Face
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Model Card

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german-gpt2-finetuned-coldmirror-hpodcast1

This model is a fine-tuned version of dbmdz/german-gpt2 on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 3.5582

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: 1e-05
  • —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
4.10631.02743.6064
3.95242.05483.5676
3.90323.08223.5582

Framework versions

  • —Transformers 4.34.1
  • —Pytorch 2.1.0
  • —Datasets 2.14.6
  • —Tokenizers 0.14.1