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metadata
license: apache-2.0
base_model: dokyoungkim/wmt19-finetuned-law-de-to-en-2
tags:
  - tanslation
  - generated_from_trainer
metrics:
  - bleu
model-index:
  - name: wmt19-finetuned-law-de-to-en-3
    results: []

wmt19-finetuned-law-de-to-en-3

This model is a fine-tuned version of dokyoungkim/wmt19-finetuned-law-de-to-en-2 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2315
  • Bleu: 59.6972

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: 40
  • eval_batch_size: 20
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 6
  • mixed_precision_training: Native AMP

Training results

Framework versions

  • Transformers 4.37.2
  • Pytorch 2.0.1+cu117
  • Datasets 2.17.0
  • Tokenizers 0.15.2