README.md

metadata

license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-jap
tags:
  - translation
  - generated_from_trainer
model-index:
  - name: translate-en-ja
    results: []

translate-en-ja

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

• eval_loss: 6.5227
• eval_bleu: 0.0056
• eval_runtime: 137.6772
• eval_samples_per_second: 14.897
• eval_steps_per_second: 0.24
• epoch: 0.0408
• step: 80

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

Framework versions

• Transformers 4.41.2
• Pytorch 2.1.2
• Datasets 2.16.0
• Tokenizers 0.19.1