README.md

metadata

tags:
  - generated_from_trainer
metrics:
  - bleu
model_index:
  - name: opus-mt-ja-en-finetuned-ja-to-en_test
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        metric:
          name: Bleu
          type: bleu
          value: 61.9426

opus-mt-ja-en-finetuned-ja-to-en_test

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

• Loss: 0.5706
• Bleu: 61.9426
• Gen Len: 16.5036

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: 0.0002
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
1.0668	1.0	247	0.5706	61.9426	16.5036

Framework versions

• Transformers 4.9.1
• Pytorch 1.9.0+cu102
• Datasets 1.10.2
• Tokenizers 0.10.3