README.md

metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - wmt16
metrics:
  - bleu
model-index:
  - name: opus-mt-en-de-finetuned-en-to-de
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: wmt16
          type: wmt16
          args: de-en
        metrics:
          - name: Bleu
            type: bleu
            value: 26.4396

opus-mt-en-de-finetuned-en-to-de

This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-de on the wmt16 dataset. It achieves the following results on the evaluation set:

• Loss: 1.6798
• Bleu: 26.4396
• Gen Len: 24.8156

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: 8
• eval_batch_size: 8
• 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
2.0864	1.0	568611	1.6798	26.4396	24.8156

Framework versions

• Transformers 4.12.5
• Pytorch 1.9.0.dev20210415+cu101
• Datasets 1.16.1
• Tokenizers 0.10.3