ko-jeolla-nmt-v1 / README.md
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metadata
tags:
  - generated_from_trainer
model-index:
  - name: ko-jeolla-nmt-v1
    results: []

ko-jeolla-nmt-v1

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

  • Loss: 0.2942

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
  • train_batch_size: 24
  • eval_batch_size: 24
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 96
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 4
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
0.7236 1.0 3017 0.5287
0.4116 2.0 6034 0.3535
0.3166 3.0 9051 0.3097
0.2673 4.0 12068 0.2942

Framework versions

  • Transformers 4.26.0
  • Pytorch 1.13.1+cu116
  • Tokenizers 0.13.2