meghazisofiane/opus-mt-en-ar-evaluated-en-to-ar-1000instancesopus-leaningRate2e-05-batchSize8-11epoch-3

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opus-mt-en-ar-evaluated-en-to-ar-1000instancesopus-leaningRate2e-05-batchSize8-11epoch-3

This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-ar on the opus100 dataset. It achieves the following results on the evaluation set:

• —Loss: 0.1421
• —Bleu: 21.3028
• —Meteor: 0.1285
• —Gen Len: 9.975

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
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 11
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.18.0
• —Pytorch 1.11.0
• —Datasets 2.1.0
• —Tokenizers 0.12.1