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opus-mt-en-ar-athar – AI Model by halgoz | AlphaNeural AI
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halgoz
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opus-mt-en-ar-athar
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transformers
tensorboard
safetensors
marian
text2text-generation
generated_from_trainer
Helsinki-NLP/opus-mt-en-ar
finetune
apache-2.0
endpoints_compatible
us
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opus-mt-en-ar-athar
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: 3.3117
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
No log
1.0
125
3.5422
No log
2.0
250
3.4116
No log
3.0
375
3.3657
3.57
4.0
500
3.3250
3.57
5.0
625
3.3117
Framework versions
Transformers 4.45.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.20.1
