This model is a fine-tuned version of Helsinki-NLP/opus-mt-af-en on the None dataset.
It achieves the following results on the evaluation set:
Before training:
'eval_bleu': 46.1522519
'eval_loss': 2.5693612
After training:
Loss: 1.7516168
Bleu: 55.3924697
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
