README.md

metadata

license: cc-by-4.0
base_model: Helsinki-NLP/opus-mt-tc-big-en-ko
tags:
  - tanslation
  - generated_from_trainer
datasets:
  - kde4
metrics:
  - bleu
model-index:
  - name: finetuned-kde4-en-to-ko
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: kde4
          type: kde4
          config: en-ko
          split: train
          args: en-ko
        metrics:
          - name: Bleu
            type: bleu
            value: 11.221156031320554

finetuned-kde4-en-to-ko

This model is a fine-tuned version of Helsinki-NLP/opus-mt-tc-big-en-ko on the kde4 dataset. It achieves the following results on the evaluation set:

• Loss: 2.3106
• Bleu: 11.2212

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: 64
• 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

Framework versions

• Transformers 4.42.4
• Pytorch 2.4.0+cu121
• Datasets 2.21.0
• Tokenizers 0.19.1