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krirk-finetuned-Helsinki-NLP_opus-mt-en-ar – AI Model by Shularp | AlphaNeural AI
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Shularp
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krirk-finetuned-Helsinki-NLP_opus-mt-en-ar
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transformers
pytorch
marian
text2text-generation
translation
generated_from_trainer
apache-2.0
endpoints_compatible
us
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krirk-finetuned-Helsinki-NLP_opus-mt-en-ar
This model is a fine-tuned version of
Helsinki-NLP/opus-mt-en-ar
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.4468
Bleu: 26.9281
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: 32
eval_batch_size: 64
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
1.6252
1.0
32
1.4686
26.1394
1.4867
2.0
64
1.4496
26.8139
1.4121
3.0
96
1.4468
26.9281
Framework versions
Transformers 4.25.1
Pytorch 1.13.0+cu116
Datasets 2.7.1
Tokenizers 0.13.2
