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Je_gyeongsang_test

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metadata
license: mit
base_model: yomilimi/Jeolla_encoder
tags:
  - generated_from_trainer
metrics:
  - bleu
model-index:
  - name: Je_gyeongsang_test
    results: []

Je_gyeongsang_test

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

  • Loss: 0.0061
  • Bleu: 91.3211
  • Gen Len: 13.3556

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
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
0.008 1.0 12910 0.0073 91.096 13.3545
0.0062 2.0 25820 0.0064 91.3089 13.3544
0.0055 3.0 38730 0.0061 91.3211 13.3556

Framework versions

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