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opus-mt-en-ar-evaluated-en-to-ar-1000instancesopus-leaningRate2e-05-batchSize8-11epoch-3

This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-ar on the opus100 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1421
  • Bleu: 21.3028
  • Meteor: 0.1285
  • Gen Len: 9.975

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: 11
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Bleu Meteor Gen Len
1.0508 1.0 100 0.1413 27.9009 0.1416 8.85
0.1253 2.0 200 0.1372 23.11 0.1345 9.855
0.1017 3.0 300 0.1390 21.7885 0.1364 9.97
0.0868 4.0 400 0.1378 21.3889 0.1314 9.835
0.0754 5.0 500 0.1398 22.198 0.132 9.675
0.0667 6.0 600 0.1396 20.8645 0.1308 10.055
0.0604 7.0 700 0.1408 20.289 0.1303 10.53
0.0553 8.0 800 0.1414 21.7023 0.1293 10.005
0.0518 9.0 900 0.1421 21.3028 0.1285 9.975

Framework versions

  • Transformers 4.18.0
  • Pytorch 1.11.0
  • Datasets 2.1.0
  • Tokenizers 0.12.1
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Dataset used to train meghazisofiane/opus-mt-en-ar-evaluated-en-to-ar-1000instancesopus-leaningRate2e-05-batchSize8-11epoch-3

Evaluation results