opus-mt-en-ar-evaluated-en-to-ar-2000instancesopus-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: 0.1959
• Bleu: 26.2629
• Meteor: 0.1703
• Gen Len: 11.0925

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 11
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Meteor	Gen Len
1.0519	0.5	100	0.1985	27.3525	0.1815	11.0725
0.1947	1.0	200	0.1902	26.9728	0.1789	10.82
0.1489	1.5	300	0.1910	27.7003	0.1811	10.975
0.1665	2.0	400	0.1905	26.3739	0.1772	11.1075
0.1321	2.5	500	0.1926	26.752	0.1772	10.975
0.1271	3.0	600	0.1927	27.3663	0.1751	10.9725
0.1105	3.5	700	0.1952	27.134	0.1738	10.9975
0.109	4.0	800	0.1959	26.2629	0.1703	11.0925

Framework versions

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