bbc-to-ind-nmt-v8

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: 1.1397
  • Sacrebleu: 37.8271
  • Gen Len: 37.329

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: 10
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Sacrebleu Gen Len
5.9033 1.0 207 3.5144 25.8748 39.2155
2.4501 2.0 414 1.4664 31.5752 38.098
1.2896 3.0 621 1.1951 35.3334 37.154
1.0669 4.0 828 1.1503 36.5808 36.977
0.969 5.0 1035 1.1384 37.1725 37.2425
0.9036 6.0 1242 1.1310 37.6427 37.141
0.8572 7.0 1449 1.1333 37.6234 37.264
0.821 8.0 1656 1.1333 37.7638 37.222
0.7971 9.0 1863 1.1385 37.8469 37.378
0.7811 10.0 2070 1.1397 37.8271 37.329

Framework versions

  • Transformers 4.41.2
  • Pytorch 2.3.0+cu121
  • Datasets 2.14.6
  • Tokenizers 0.19.1
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Evaluation results