CoolFace
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LouisSanna/HW2-supervised

sourceHugging Facemitupdated 2y agoView on Hugging Face
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Model Card

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HW2-supervised

This model is a fine-tuned version of openai-community/gpt2 on the piqa dataset. It achieves the following results on the evaluation set:

  • Loss: 2.9822

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: 4
  • evalbatchsize: 8
  • seed: 42
  • gradientaccumulationsteps: 4
  • totaltrainbatch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • num_epochs: 3

Training results

Training LossEpochStepValidation Loss
3.26370.99918053.0219
3.02831.999416112.9898
2.9642.997224152.9822

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.0.0
  • Datasets 2.16.1
  • Tokenizers 0.19.1