README.md

metadata

license: apache-2.0
tags:
  - translation
  - generated_from_trainer
datasets:
  - kde4
metrics:
  - bleu
base_model: Helsinki-NLP/opus-tatoeba-en-ja
model-index:
  - name: marian-finetuned-kde4-en-to-ja
    results:
      - task:
          type: text2text-generation
          name: Sequence-to-sequence Language Modeling
        dataset:
          name: kde4
          type: kde4
          config: en-ja
          split: train
          args: en-ja
        metrics:
          - type: bleu
            value: 37.10979592471087
            name: Bleu

marian-finetuned-kde4-en-to-ja

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

• Loss: 0.9825
• Bleu: 37.1098

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 4.21.2
• Pytorch 1.12.1+cu113
• Datasets 2.4.0
• Tokenizers 0.12.1