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krirk-finetuned-Helsinki-NLP_opus-mt-ar-en

Translation
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PyTorch
marian
text2text-generation
generated_from_trainer
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metadata
license: apache-2.0
tags:
  - translation
  - generated_from_trainer
metrics:
  - bleu
model-index:
  - name: krirk-finetuned-Helsinki-NLP_opus-mt-ar-en
    results: []

krirk-finetuned-Helsinki-NLP_opus-mt-ar-en

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: 1.3665
  • Bleu: 35.0219

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: 32
  • eval_batch_size: 64
  • 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
1.4469 1.0 32 1.3744 34.9616
1.2938 2.0 64 1.3674 34.9145
1.2582 3.0 96 1.3665 35.0219

Framework versions

  • Transformers 4.25.1
  • Pytorch 1.12.1+cu113
  • Datasets 2.7.1
  • Tokenizers 0.13.2