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NLLB_Egyptian_Arabic_to_English2ndtrial

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:

  • eval_loss: 1.5447
  • eval_bleu: 28.3607
  • eval_gen_len: 19.9786
  • eval_runtime: 487.6463
  • eval_samples_per_second: 4.688
  • eval_steps_per_second: 1.173
  • epoch: 2.0
  • step: 6248

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: 3e-05
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3

Framework versions

  • Transformers 4.39.3
  • Pytorch 2.1.2
  • Datasets 2.18.0
  • Tokenizers 0.15.2
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