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auto-arabic-summarization-finetuned-xsum – AI Model by hazemOmrann14 | AlphaNeural AI
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hazemOmrann14
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auto-arabic-summarization-finetuned-xsum
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transformers
pytorch
tensorboard
mbart
text2text-generation
generated_from_trainer
endpoints_compatible
us
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auto-arabic-summarization-finetuned-xsum
This model is a fine-tuned version of
abdalrahmanshahrour/auto-arabic-summarization
on the None 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: 1.876155766046155e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
No log
1.0
10
2.9332
0.0
0.0
0.0
0.0
20.0
Framework versions
Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3
