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ArSUM-ai – AI Model by abdalrahmanshahrour | AlphaNeural AI
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abdalrahmanshahrour
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ArSUM-ai
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transformers
pytorch
tensorboard
mbart
text2text-generation
generated_from_trainer
xlsum
apache-2.0
endpoints_compatible
us
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ArSUM-ai
This model is a fine-tuned version of
abdalrahmanshahrour/arabartsummarization
on the xlsum dataset. It achieves the following results on the evaluation set:
Loss: 2.5951
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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
2.3947
1.0
9380
2.4121
2.182
2.0
18760
2.4303
1.9303
3.0
28140
2.4727
1.7455
4.0
37520
2.5470
1.5804
5.0
46900
2.5951
Framework versions
Transformers 4.25.1
Pytorch 1.13.0+cu116
Datasets 2.8.0
Tokenizers 0.13.2
