README.md

metadata

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

wmt19-finetuned-it-de-to-en-2

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

• Loss: 0.1271
• Bleu: 46.8781

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: 160
• 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