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

• Loss: 2.1557
• Blue: 17.9685
• Gen Len: 33.605

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	Blue	Gen Len
No log	1.0	50	2.1831	17.9315	33.73
No log	2.0	100	2.1557	17.9685	33.605

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu121
• Datasets 2.16.1
• Tokenizers 0.15.0