nllb_600m-en-swh-drL-24_5-filtered-v24_28_2

This model is a fine-tuned version of facebook/nllb-200-distilled-600M on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4517
  • Bleu Eng Latn-swh Latn: 75.6335
  • Bleu Swh Latn-eng Latn: 61.5722

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: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Bleu Eng Latn-swh Latn Bleu Swh Latn-eng Latn
0.5402 1.0 2439 0.4881 71.3066 59.7916
0.4466 2.0 4878 0.4628 73.6631 60.7412
0.3875 3.0 7317 0.4529 74.8640 61.0596
0.3515 4.0 9756 0.4503 75.3634 61.4414
0.3254 5.0 12195 0.4517 75.6335 61.5722

Framework versions

  • Transformers 4.43.3
  • Pytorch 2.3.1+cu121
  • Datasets 2.14.7
  • Tokenizers 0.19.1
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