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model-translate-en-to-ar-from-120k-dataset-ar-en-th230111447 – AI Model by Shularp | AlphaNeural AI
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Shularp
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model-translate-en-to-ar-from-120k-dataset-ar-en-th230111447
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transformers
pytorch
marian
text2text-generation
translation
generated_from_trainer
apache-2.0
endpoints_compatible
us
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model-translate-en-to-ar-from-120k-dataset-ar-en-th230111447
This model is a fine-tuned version of
Helsinki-NLP/opus-mt-en-ar
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.8730
Bleu: 20.6264
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: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
1.7641
1.0
12500
1.8958
20.0677
1.8961
2.0
25000
1.8788
20.5618
1.9399
3.0
37500
1.8730
20.6264
Framework versions
Transformers 4.25.1
Pytorch 1.13.0+cu116
Datasets 2.8.0
Tokenizers 0.13.2
