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finetune-AraT5-on-opus100-Ar2En-with-Qlora – AI Model by yasmineee | AlphaNeural AI

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yasmineee/
finetune-AraT5-on-opus100-Ar2En-with-Qlora

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UBC-NLP/AraT5v2-base-1024

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finetune-AraT5-on-opus100-Ar2En-with-Qlora

This model is a fine-tuned version of UBC-NLP/AraT5v2-base-1024 on an unknown 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: 5
eval_batch_size: 5
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 20
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 37
mixed_precision_training: Native AMP

Framework versions

PEFT 0.12.0
Transformers 4.42.3
Pytorch 2.1.2
Datasets 2.20.0
Tokenizers 0.19.1