README.md

metadata

tags:
  - generated_from_trainer
datasets:
  - opus_wikipedia
model-index:
  - name: opus-mt-ar-en-finetuned-ar-to-en
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: opus_wikipedia
          type: opus_wikipedia
          args: ar-en

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

This model is a fine-tuned version of Helsinki-NLP/opus-mt-ar-en on the opus_wikipedia dataset.

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: 1
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.10.0
• Pytorch 1.9.0+cu102
• Datasets 1.11.0
• Tokenizers 0.10.3