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nllb200-ar-en-v2 – AI Model by Ahmed107 | AlphaNeural AI
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Ahmed107
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nllb200-ar-en-v2
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transformers
tensorboard
safetensors
m2m_100
text2text-generation
translation
generated_from_trainer
nadsoft/Faseeh-v0.1-beta
finetune
cc-by-nc-4.0
endpoints_compatible
us
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nllb200-ar-en-v2
This model is a fine-tuned version of
nadsoft/Faseeh-v0.1-beta
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.8491
Bleu: 49.3964
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: 20
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0
