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: 1.1847
Sacrebleu: 35.8525
Gen Len: 37.0695

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
5.2823	1.0	207	2.9374	27.4438	38.6905
2.1169	2.0	414	1.4203	31.985	38.087
1.2846	3.0	621	1.2194	34.8075	37.074
1.1158	4.0	828	1.1889	35.6204	36.911
1.0586	5.0	1035	1.1847	35.8525	37.0695

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.14.6
Tokenizers 0.19.1

kepinsam/bbc-to-ind-nmt-v4

bbc-to-ind-nmt-v4

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

kepinsam/
bbc-to-ind-nmt-v4