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algn01/gpt2-FDAx

sourceHugging Facemitupdated 4y agoView on Hugging Face
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Model Card

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gpt2-FDAx

This model is a fine-tuned version of gpt2 on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 7.2535

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 3.0

Training results

Training LossEpochStepValidation Loss
No log1.0557.2535
No log2.01107.2535
No log3.01657.2535

Framework versions

  • —Transformers 4.26.1
  • —Pytorch 1.13.1+cu116
  • —Datasets 2.9.0
  • —Tokenizers 0.13.2