update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: mbert2mbert-arabic-text-summarization-finetuned-xsum_arabic_abstractive_final_finaln
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# mbert2mbert-arabic-text-summarization-finetuned-xsum_arabic_abstractive_final_finaln
+
+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.
+It achieves the following results on the evaluation set:
+- Loss: 2.2826
+- Rouge1: 0.0119
+- Rouge2: 0.0
+- Rougel: 0.0119
+- Rougelsum: 0.0119
+- Gen Len: 41.8856
+
+## 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: 2e-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: 2
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 2.5104        | 1.0   | 7915  | 2.3684          | 0.0    | 0.0    | 0.0    | 0.0       | 41.8314 |
+| 2.2222        | 2.0   | 15830 | 2.2826          | 0.0119 | 0.0    | 0.0119 | 0.0119    | 41.8856 |
+
+
+### Framework versions
+
+- Transformers 4.20.1
+- Pytorch 1.11.0
+- Datasets 2.1.0
+- Tokenizers 0.12.1