opus-mt-en-ar-finetuned-dummyData-10-10-ar-to-en

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

• Loss: 1.2046
• Bleu: 7.9946
• Gen Len: 20.0

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: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
No log	1.0	1	1.2038	7.9946	20.0
No log	2.0	2	1.2038	7.9946	20.0
No log	3.0	3	1.2038	7.9946	20.0
No log	4.0	4	1.2036	7.9946	20.0
No log	5.0	5	1.2046	7.9946	20.0

Framework versions

• Transformers 4.11.3
• Pytorch 1.9.0+cu111
• Datasets 1.12.1
• Tokenizers 0.10.3