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Sara-1990/my_eli5_clm-model

sourceHugging Faceapache-2.0updated 22d agoView on Hugging Face
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myeli5clm-model

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

  • Loss: 3.7869

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: 2e-05
  • trainbatchsize: 8
  • evalbatchsize: 8
  • seed: 42
  • optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lrschedulertype: linear
  • num_epochs: 3.0

Training results

Training LossEpochStepValidation Loss
3.91351.013243.7976
3.83182.026483.7879
3.78653.039723.7869

Framework versions

  • Transformers 5.16.1
  • Pytorch 2.11.0+cu128
  • Datasets 4.0.0
  • Tokenizers 0.23.1