opus-mt-iir-en-finetuned-fa-to-en

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

• Loss: 1.0968
• Bleu: 36.687
• Gen Len: 16.039

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-06
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 30
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.19.2
• Pytorch 1.7.1+cu110
• Datasets 2.2.2
• Tokenizers 0.12.1