README.md

metadata

tags:
  - translation2
  - generated_from_trainer
datasets:
  - ccmatrix
metrics:
  - bleu
model-index:
  - name: opus-mt-tc-big-ar-en
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: ccmatrix
          type: ccmatrix
          config: ar-en
          split: train[:50000]
          args: ar-en
        metrics:
          - name: Bleu
            type: bleu
            value: 63.31671509061578

opus-mt-tc-big-ar-en

This model was trained from scratch on the ccmatrix dataset. It achieves the following results on the evaluation set:

• Loss: 0.5581
• Bleu: 63.3167

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

Framework versions

• Transformers 4.27.1
• Pytorch 1.13.1+cu116
• Datasets 2.10.1
• Tokenizers 0.13.2