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metadata
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - news_commentary
metrics:
  - bleu
model-index:
  - name: opus-mt-ar-en-finetuned-ar-to-en
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: news_commentary
          type: news_commentary
          args: ar-en
        metrics:
          - name: Bleu
            type: bleu
            value: 36.3138

opus-mt-ar-en-finetuned-ar-to-en

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

  • Loss: 9.7675
  • Bleu: 36.3138
  • Gen Len: 57.0

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-09
  • 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

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
No log 1.0 4 9.7676 36.3138 57.0
No log 2.0 8 9.7675 36.3138 57.0
No log 3.0 12 9.7675 36.3138 57.0

Framework versions

  • Transformers 4.19.4
  • Pytorch 1.11.0+cu113
  • Datasets 2.3.2
  • Tokenizers 0.12.1