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ar-en-model

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metadata
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-ar-en
tags:
  - generated_from_trainer
metrics:
  - bleu
model-index:
  - name: ar-en-model
    results: []

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ar-en-model

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

  • Loss: 0.1237
  • Bleu: 61.7434
  • Gen Len: 31.2413

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: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
0.1394 1.0 1250 0.1527 63.1436 30.9039
0.1215 2.0 2500 0.1507 63.0988 30.8535
0.1122 3.0 3750 0.1508 63.1177 30.8768

Framework versions

  • Transformers 4.42.3
  • Pytorch 2.1.2
  • Datasets 2.20.0
  • Tokenizers 0.19.1