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opus-mt-en-ar-finetuned-dummyData-10-10-ar-to-en – AI Model by MaryaAI | AlphaNeural AI
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MaryaAI
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opus-mt-en-ar-finetuned-dummyData-10-10-ar-to-en
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transformers
pytorch
tensorboard
marian
text2text-generation
generated_from_trainer
syssr_en_ar
apache-2.0
model-index
endpoints_compatible
us
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opus-mt-en-ar-finetuned-dummyData-10-10-ar-to-en
This model is a fine-tuned version of
Helsinki-NLP/opus-mt-en-ar
on the syssr_en_ar dataset. It achieves the following results on the evaluation set:
Loss: 1.2046
Bleu: 7.9946
Gen Len: 20.0
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: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Gen Len
No log
1.0
1
1.2038
7.9946
20.0
No log
2.0
2
1.2038
7.9946
20.0
No log
3.0
3
1.2038
7.9946
20.0
No log
4.0
4
1.2036
7.9946
20.0
No log
5.0
5
1.2046
7.9946
20.0
Framework versions
Transformers 4.11.3
Pytorch 1.9.0+cu111
Datasets 1.12.1
Tokenizers 0.10.3
