en-ar_faseeh.v.0

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

• Loss: 0.8551
• Bleu: 45.5526

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
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu
1.2661	1.0	9019	1.1925	35.4959
1.1363	2.0	18038	1.0629	38.7606
0.9106	3.0	27057	0.9927	40.2049
0.8538	4.0	36076	0.9420	41.9980
0.7722	5.0	45095	0.9112	43.1329
0.7095	6.0	54114	0.8873	43.8821
0.6389	7.0	63133	0.8741	44.6584
0.6191	8.0	72152	0.8631	45.0652
0.587	9.0	81171	0.8582	45.2953
0.6158	10.0	90190	0.8551	45.5526

Framework versions

• Transformers 4.41.2
• Pytorch 2.3.0+cu121
• Datasets 2.19.2
• Tokenizers 0.19.1