nllb-200-distilled-600M-finetuned_augmented_synthetic_ar-to-en

This model is a fine-tuned version of facebook/nllb-200-distilled-600M on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.7501
  • Bleu: 62.4193
  • Gen Len: 64.586

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: 2e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 10

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
1.0564 1.0 2210 1.0374 45.431 65.406
0.8998 2.0 4420 0.8975 52.6173 66.014
0.7972 3.0 6630 0.8399 55.9624 65.357
0.7451 4.0 8840 0.8021 57.3958 65.94
0.6884 5.0 11050 0.7771 59.9589 65.367
0.6742 6.0 13260 0.7648 61.0786 64.74
0.6599 7.0 15470 0.7562 61.9442 64.694
0.6168 8.0 17680 0.7530 62.0067 64.965
0.6234 9.0 19890 0.7502 62.0721 64.888
0.5948 10.0 22100 0.7501 62.4193 64.586

Framework versions

  • Transformers 4.31.0
  • Pytorch 1.13.1
  • Datasets 2.14.4
  • Tokenizers 0.13.3
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