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model-translate-ar-to-en-from-320k-dataset-ar-en-th2301191019 – AI Model by Shularp | AlphaNeural AI
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Shularp
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model-translate-ar-to-en-from-320k-dataset-ar-en-th2301191019
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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-ar-to-en-from-320k-dataset-ar-en-th2301191019
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: 1.2166
Bleu: 37.7938
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: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
1.3931
1.0
18750
1.2483
36.9803
1.2587
2.0
37500
1.2246
37.5016
1.0638
3.0
56250
1.2166
37.7938
Framework versions
Transformers 4.25.1
Pytorch 1.13.1+cu116
Datasets 2.8.0
Tokenizers 0.13.2
