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dagim/AmharicGPT

sourceHugging Facemitupdated 3y agoView on Hugging Face
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Model Card

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AmharicGPT

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

  • —Loss: 5.9221

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: 0.0005
  • —trainbatchsize: 8
  • —evalbatchsize: 8
  • —seed: 42
  • —gradientaccumulationsteps: 8
  • —totaltrainbatch_size: 64
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: cosine
  • —lrschedulerwarmup_steps: 1000
  • —num_epochs: 1
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation Loss
6.57540.7150005.9221

Framework versions

  • —Transformers 4.27.4
  • —Pytorch 1.13.0
  • —Datasets 2.1.0
  • —Tokenizers 0.13.2