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Gyeongsang_model

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Gyeongsang_model / README.md
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metadata
license: mit
base_model: gogamza/kobart-base-v2
tags:
  - generated_from_trainer
metrics:
  - bleu
model-index:
  - name: Gyeongsang_model_
    results: []

Gyeongsang_model_

This model is a fine-tuned version of gogamza/kobart-base-v2 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0064
  • Bleu: 91.3913
  • Gen Len: 13.3266

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
0.0039 1.0 12910 0.0066 91.3315 13.3276
0.0033 2.0 25820 0.0062 91.4059 13.3258
0.0026 3.0 38730 0.0064 91.3913 13.3266

Framework versions

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