nllb-fr-dje

This model is a fine-tuned version of facebook/nllb-200-distilled-600M on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.2285
• Bleu: 29.6795

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-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 8
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu
2.8423	1.0	508	1.8073	20.0301
1.7444	2.0	1017	1.4882	25.3031
1.4902	3.0	1526	1.3685	27.3325
1.3532	4.0	2035	1.3004	28.0924
1.2749	5.0	2544	1.2632	29.0171
1.2153	6.0	3053	1.2432	29.3495
1.1793	7.0	3562	1.2323	29.5367
1.1548	7.99	4064	1.2285	29.6795

Framework versions

• Transformers 4.35.0
• Pytorch 2.0.0
• Datasets 2.1.0
• Tokenizers 0.14.1