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shark-finetuned-kde4-ar-en – AI Model by ahmedshark | AlphaNeural AI

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ahmedshark/
shark-finetuned-kde4-ar-en

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text2text-generation

generated_from_trainer

Helsinki-NLP/opus-mt-ar-en

endpoints_compatible

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shark-finetuned-kde4-ar-en

This model is a fine-tuned version of Helsinki-NLP/opus-mt-ar-en on the kde4 dataset.

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: 1
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.44.2
Pytorch 2.5.0+cu121
Datasets 3.0.2
Tokenizers 0.19.1