metadata

license: cc-by-nc-4.0
base_model: facebook/nllb-200-distilled-600M
tags:
  - generated_from_trainer
datasets:
  - nusatranslation_mt
metrics:
  - sacrebleu
model-index:
  - name: ind-to-bbc-nmt-v4
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: nusatranslation_mt
          type: nusatranslation_mt
          config: nusatranslation_mt_btk_ind_source
          split: test
          args: nusatranslation_mt_btk_ind_source
        metrics:
          - name: Sacrebleu
            type: sacrebleu
            value: 30.3825

ind-to-bbc-nmt-v4

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

Loss: 1.2930
Sacrebleu: 30.3825
Gen Len: 45.3035

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: 32
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Sacrebleu	Gen Len
5.3256	1.0	207	2.9469	25.3735	44.648
2.2418	2.0	414	1.5816	28.6826	45.3055
1.4644	3.0	621	1.3598	30.2304	45.373
1.2707	4.0	828	1.3034	30.4544	45.2655
1.2046	5.0	1035	1.2930	30.3825	45.3035

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.14.6
Tokenizers 0.19.1