mt-no-sv-finetuned

This model is a fine-tuned version of Helsinki-NLP/opus-mt-no-sv on the None dataset. It achieves the following results on the Tatoeba.Nor.Swe evaluation set:

• Loss: 0.5130
• Bleu: 66.4015

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: 5e-06
• train_batch_size: 24
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 4
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu
1.085	1.0	10268	0.5365	65.9489
1.0258	2.0	20536	0.5221	66.0704
0.9783	3.0	30804	0.5147	66.4690
0.9578	4.0	41072	0.5130	66.4015

Framework versions

• Transformers 4.25.0.dev0
• Pytorch 1.13.0+cu117
• Datasets 2.6.1
• Tokenizers 0.13.1