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+ ---
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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: mbert2mbert-arabic-text-summarization-finetuned-xsum_arabic_abstractive_final_finaln
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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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+ # mbert2mbert-arabic-text-summarization-finetuned-xsum_arabic_abstractive_final_finaln
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+
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+ This model is a fine-tuned version of [malmarjeh/mbert2mbert-arabic-text-summarization](https://huggingface.co/malmarjeh/mbert2mbert-arabic-text-summarization) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.2826
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+ - Rouge1: 0.0119
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+ - Rouge2: 0.0
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+ - Rougel: 0.0119
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+ - Rougelsum: 0.0119
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+ - Gen Len: 41.8856
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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: 4
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+ - eval_batch_size: 4
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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: 2
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+ - mixed_precision_training: Native AMP
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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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+ | 2.5104 | 1.0 | 7915 | 2.3684 | 0.0 | 0.0 | 0.0 | 0.0 | 41.8314 |
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+ | 2.2222 | 2.0 | 15830 | 2.2826 | 0.0119 | 0.0 | 0.0119 | 0.0119 | 41.8856 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.20.1
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+ - Pytorch 1.11.0
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+ - Datasets 2.1.0
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+ - Tokenizers 0.12.1