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

This model is a fine-tuned version of Helsinki-NLP/opus-mt-de-en on the wmt14 dataset. It achieves the following results on the evaluation set:

• eval_loss: 1.3411
• eval_bleu: 32.4395
• eval_gen_len: 29.6925
• eval_runtime: 2250.0489
• eval_samples_per_second: 19.998
• eval_steps_per_second: 0.625
• epoch: 3.0
• step: 4221

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-06
• 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: 11
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.19.2
• Pytorch 1.7.1+cu110
• Datasets 2.2.2
• Tokenizers 0.12.1