opus-mt-mul-en-finetuned-dz-to-en-n1

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.2735
• Bleu: 12.0953
• Gen Len: 15.8819

Model description

More information needed

Intended uses & limitations

Gives inacurrate translation, use at your own risk

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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 9
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
3.2761	1.0	562	2.9572	5.5363	15.5395
2.8321	2.0	1124	2.6795	7.9287	15.2723
2.5606	3.0	1686	2.5424	9.3415	15.5245
2.346	4.0	2248	2.4262	10.811	15.8619
2.1696	5.0	2810	2.3613	10.7336	16.0801
2.0639	6.0	3372	2.3282	11.2871	15.8388
1.9692	7.0	3934	2.2879	12.7783	15.4164
1.893	8.0	4496	2.2758	12.6661	15.3634
1.7954	9.0	5058	2.2735	12.0953	15.8819

Framework versions

• Transformers 4.47.1
• Pytorch 2.5.1+cu121
• Datasets 3.2.0
• Tokenizers 0.21.0