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: 1.2799
• Bleu1: 0.5227
• Bleu2: 0.3993
• Rougelsum: 0.5577
• Gen Len: 27.2379

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu1	Bleu2	Rougelsum	Gen Len
1.5412	1.0	15625	1.2853	0.5232	0.4001	0.5595	27.1014
1.5375	2.0	31250	1.2816	0.5229	0.3996	0.5582	27.0881
1.5452	3.0	46875	1.2804	0.5227	0.3995	0.5577	27.2328
1.5405	4.0	62500	1.2800	0.5225	0.3993	0.5577	27.2365
1.5373	5.0	78125	1.2799	0.5227	0.3993	0.5577	27.2379

Framework versions

• Transformers 4.27.4
• Pytorch 2.0.0+cu118
• Datasets 2.11.0
• Tokenizers 0.13.3