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marian-finetuned-ArzEn-MultiGenre-egy-to-en – AI Model by NEldin10 | AlphaNeural AI
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NEldin10
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marian-finetuned-ArzEn-MultiGenre-egy-to-en
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transformers
safetensors
marian
text2text-generation
generated_from_trainer
egy-en
translation
en
ar
HeshamHaroon/ArzEn-MultiGenre
Helsinki-NLP/opus-mt-ar-en
finetune
apache-2.0
endpoints_compatible
us
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marian-finetuned-ArzEn-MultiGenre-egy-to-en
This model is a fine-tuned version of
Helsinki-NLP/opus-mt-ar-en
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.8765
Bleu: 23.1477
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: 0.00013501528621462957
train_batch_size: 32
eval_batch_size: 64
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: polynomial
lr_scheduler_warmup_ratio: 0.07805866417161107
num_epochs: 4
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
2.2844
1.0
733
1.9300
18.6690
1.7833
2.0
1466
1.8473
21.3646
1.1542
3.0
2199
1.8489
22.4885
0.9786
4.0
2932
1.8765
23.1477
Framework versions
Transformers 4.57.1
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1
