README.md

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: 32.5327

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: 10.6102
• Bleu: 32.5327
• Gen Len: 56.234

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	32	10.6112	32.5327	56.234
No log	2.0	64	10.6103	32.5327	56.234
No log	3.0	96	10.6102	32.5327	56.234

Framework versions

• Transformers 4.20.0
• Pytorch 1.11.0+cu113
• Datasets 2.3.2
• Tokenizers 0.12.1