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