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: 0.0756

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: 3.2173
• Bleu: 0.0756
• Gen Len: 330.32

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: 0.001
• 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	5.5459	0.1405	511.0
No log	2.0	8	3.8021	0.0206	511.0
No log	3.0	12	3.2173	0.0756	330.32

Framework versions

• Transformers 4.19.4
• Pytorch 1.11.0+cu113
• Datasets 2.3.0
• Tokenizers 0.12.1