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AraBART-summ – AI Model by abdalrahmanshahrour | AlphaNeural AI
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AraBART-summ
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transformers
pytorch
mbart
text2text-generation
summarization
AraBERT
BERT
BERT2BERT
MSA
Arabic Text Summarization
Arabic News Title Generation
Arabic Paraphrasing
Summarization
generated_from_trainer
Transformers
PyTorch
ar
xlsum
apache-2.0
endpoints_compatible
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AraBART-summ
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: 5e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
Validation Metrics
Loss: 2.3417
Rouge1: 2.353
Rouge2: 1.103
RougeL: 1.176
RougeLsum: 1.521
Training results
Training Loss
Epoch
Step
Validation Loss
2.7555
1.0
9380
2.3417
Framework versions
Transformers 4.25.1
Pytorch 1.13.0+cu116
Datasets 2.7.1
Tokenizers 0.13.2
