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metadata
license: cc-by-nc-4.0
library_name: peft
tags:
  - generated_from_trainer
datasets:
  - mt_eng_vietnamese
metrics:
  - bleu
base_model: facebook/nllb-200-distilled-600M
model-index:
  - name: my_fine_tuning_nllb_660M_peft_en_vi_model_nmt
    results: []

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