En-Af

This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-af on the None dataset. It achieves the following results on the evaluation set: Before training:

• 'eval_bleu': 35.055184951449
• 'eval_loss': 2.225693941116333

After training:

• Loss: 2.0057
• Bleu: 44.2309

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: 20

Training results

Framework versions

• Transformers 4.19.2
• Pytorch 1.11.0+cu113
• Datasets 2.2.2
• Tokenizers 0.12.1