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ytonthat/vesta-notes-md-model-001

sourceHugging Facemitupdated 2y agoView on Hugging Face
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Model Card

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vesta-notes-md-model-001

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

  • Loss: 1.6791

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: 6

Training results

Training LossEpochStepValidation Loss
2.48891.019092.0984
2.11532.038181.8813
1.97153.057271.7713
1.89384.076361.7167
1.84525.095451.6892
1.82456.0114541.6791

Framework versions

  • Transformers 4.38.2
  • Pytorch 2.2.1+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2