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: 1.1353
Sacrebleu: 38.1114
Gen Len: 37.3265

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: 4
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

Training results

Training Loss	Epoch	Step	Validation Loss	Sacrebleu	Gen Len
1.36	1.0	1650	1.2432	34.4418	37.63
1.0823	2.0	3300	1.1404	36.8766	37.312
0.9761	3.0	4950	1.1281	37.9027	37.2895
0.8241	4.0	6600	1.1267	38.1879	37.1395
0.7579	5.0	8250	1.1353	38.1114	37.3265

Framework versions

Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.13.1
Tokenizers 0.14.1

kepinsam/bbc-to-ind-nmt-v1

bataknese_to_indonesian_translation_model

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

kepinsam/
bbc-to-ind-nmt-v1