german_to_english

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

• Loss: 0.5712
• Bleu: 63.9999
• Gen Len: 7.0416

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: 2
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
0.8374	1.0	385	0.6619	60.2542	7.054
0.4935	2.0	770	0.5712	63.9999	7.0416

Framework versions

• Transformers 4.38.2
• Pytorch 2.2.2+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2