En-Af_update

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:

• Loss: 1.8089
• Bleu: 45.1780

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: 16
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu
1.4243	1.0	2553	1.8451	42.1314
1.0987	2.0	5106	1.7509	44.0714
0.9329	3.0	7659	1.7340	44.6003
0.8365	4.0	10212	1.7260	44.7820
0.7556	5.0	12765	1.7590	45.1180
0.6944	6.0	15318	1.7715	45.1451
0.652	7.0	17871	1.7696	45.1025
0.6132	8.0	20424	1.8060	45.1781
0.5832	9.0	22977	1.8135	45.2485
0.5602	10.0	25530	1.8089	45.1730

Framework versions

• Transformers 4.21.0
• Pytorch 1.12.0+cu113
• Datasets 2.4.0
• Tokenizers 0.12.1