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README.md CHANGED
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- license: apache-2.0
 
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ base_model: sseyf/arabic_summarization_tp
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - rouge
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+ model-index:
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+ - name: NLP_Summerizer
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+ results: []
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  ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # NLP_Summerizer
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+
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+ This model is a fine-tuned version of [sseyf/arabic_summarization_tp](https://huggingface.co/sseyf/arabic_summarization_tp) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0451
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+ - Rouge1: 0.179
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+ - Rouge2: 0.0698
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+ - Rougel: 0.1786
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+ - Rougelsum: 0.1783
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+ - Gen Len: 18.8103
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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+ - train_batch_size: 2
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+ - eval_batch_size: 2
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 3
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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+ |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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+ | 0.1625 | 1.0 | 3351 | 0.0636 | 0.1722 | 0.0625 | 0.1723 | 0.1719 | 18.7864 |
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+ | 0.1107 | 2.0 | 6702 | 0.0482 | 0.1816 | 0.0712 | 0.1814 | 0.1808 | 18.8073 |
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+ | 0.09 | 3.0 | 10053 | 0.0451 | 0.179 | 0.0698 | 0.1786 | 0.1783 | 18.8103 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.2
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+ - Pytorch 2.1.2+cu121
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+ - Datasets 2.16.1
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+ - Tokenizers 0.15.0
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+ "transformers_version": "4.35.2"
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+ }
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