my_fine_tuning_nllb_660M_peft_en_vi_model_nmt

This model is a fine-tuned version of facebook/nllb-200-distilled-600M on the mt_eng_vietnamese dataset. It achieves the following results on the evaluation set:

• Loss: 6.1092
• Bleu: 33.9762
• Gen Len: 30.446

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: 4
• eval_batch_size: 4
• 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
6.6862	1.0	33330	6.1106	33.8797	30.3964
6.6801	2.0	66660	6.1092	33.9762	30.446

Framework versions

• PEFT 0.8.2
• Transformers 4.37.2
• Pytorch 2.0.1+cu117
• Datasets 2.14.5
• Tokenizers 0.15.2