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oananovac/enron_gpt2_model_part2

sourceHugging Facemitupdated 3y agoView on Hugging Face
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Model Card

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enrongpt2model_part2

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

  • —Loss: 3.0151

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: 5e-05
  • —trainbatchsize: 4
  • —evalbatchsize: 4
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 10

Training results

Training LossEpochStepValidation Loss
3.26151.03363.1207
3.05092.06723.0693
2.94413.010083.0389
2.86364.013443.0271
2.7995.016803.0160
2.74726.020163.0125
2.7067.023523.0108
2.6748.026883.0141
2.6519.030243.0126
2.636110.033603.0151

Framework versions

  • —Transformers 4.32.0
  • —Pytorch 2.0.1+cu118
  • —Datasets 2.14.4
  • —Tokenizers 0.13.3