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TeeA/git-base-pokemon

sourceHugging Facemitupdated 3y agoView on Hugging Face
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Model Card

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git-base-pokemon

This model is a fine-tuned version of TeeA/git-base-pokemon on an unknown dataset. It achieves the following results on the evaluation set:

  • eval_loss: 0.2101
  • evalwerscore: 4.6548
  • eval_runtime: 25.4225
  • evalsamplesper_second: 28.793
  • evalstepsper_second: 1.809
  • epoch: 22.0
  • step: 3349

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: 8
  • evalbatchsize: 16
  • seed: 42
  • gradientaccumulationsteps: 4
  • totaltrainbatch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • num_epochs: 50
  • mixedprecisiontraining: Native AMP

Framework versions

  • Transformers 4.36.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.16.1
  • Tokenizers 0.15.0