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: 1.2145
Sacrebleu: 31.0264
Gen Len: 45.24

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: 16
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
4.3836	1.0	413	1.7444	26.819	45.5685
1.516	2.0	826	1.3331	30.1628	45.802
1.2184	3.0	1239	1.2480	30.7892	45.563
1.1033	4.0	1652	1.2187	31.136	45.289
1.0421	5.0	2065	1.2145	31.0264	45.24

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.14.6
Tokenizers 0.19.1

kepinsam/ind-to-bbc-nmt-v3

ind-to-bbc-nmt-v3

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

kepinsam/
ind-to-bbc-nmt-v3