ruby-rails-fine-tuned-ja-en

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ruby-rails-fine-tuned-ja-en

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

• Loss: 1.6714
• Bleu: 0.3300
• Chrf: 64.8493

Model description

Fine-tuned for Japanese to English translation of the Ruby and Rails documentation.

Intended uses & limitations

The training dataset (see below) is still very small, so only minor improvements are expected.

Training and evaluation data

Trained on a custom dataset specifically based on Ruby and Ruby on Rails documentation: https://huggingface.co/datasets/morinoko-inari/ruby-rails-ja-en

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 2e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Framework versions

• Transformers 4.51.3
• Pytorch 2.6.0
• Datasets 3.5.0
• Tokenizers 0.21.1