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yomilimi/gy_Jeolla_test

sourceHugging Facemitupdated 2y agoView on Hugging Face
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Model Card

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gyJeollatest

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

  • —Loss: 0.0642
  • —Bleu: 80.4544
  • —Gen Len: 14.1795

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: 32
  • —evalbatchsize: 32
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 3
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossBleuGen Len
0.07371.0154770.072178.57114.2081
0.06852.0309540.065580.147214.1847
0.06433.0464310.064280.454414.1795

Framework versions

  • —Transformers 4.42.0.dev0
  • —Pytorch 2.2.1+cu121
  • —Datasets 2.19.2
  • —Tokenizers 0.19.1