update model card README.md

README.md

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+---
+tags:
+- summarization
+- generated_from_trainer
+datasets:
+- wiki_lingua
+model-index:
+- name: mbart-large-50-finetuned-ar-wikilingua
+  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. -->
+
+# mbart-large-50-finetuned-ar-wikilingua
+
+This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on the wiki_lingua dataset.
+It achieves the following results on the evaluation set:
+- Loss: 4.0001
+- Rouge-1: 22.11
+- Rouge-2: 7.33
+- Rouge-l: 19.75
+- Gen Len: 59.4
+- Bertscore: 68.9
+
+## 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: 1e-06
+- 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
+- lr_scheduler_warmup_steps: 250
+- num_epochs: 8
+- label_smoothing_factor: 0.1
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Rouge-1 | Rouge-2 | Rouge-l | Gen Len | Bertscore |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:-------:|:---------:|
+| 5.2671        | 1.0   | 5111  | 4.6414          | 18.37   | 5.63    | 16.32   | 96.39   | 65.12     |
+| 4.5375        | 2.0   | 10222 | 4.3144          | 20.49   | 6.64    | 18.35   | 95.44   | 65.79     |
+| 4.308         | 3.0   | 15333 | 4.1592          | 21.16   | 7.09    | 18.85   | 67.75   | 67.65     |
+| 4.1562        | 4.0   | 20444 | 4.0812          | 21.59   | 7.31    | 19.42   | 68.66   | 68.02     |
+| 4.0749        | 5.0   | 25555 | 4.0409          | 21.99   | 7.42    | 19.82   | 66.4    | 68.05     |
+| 4.0271        | 6.0   | 30666 | 4.0183          | 22.04   | 7.42    | 19.64   | 56.88   | 68.95     |
+| 3.9991        | 7.0   | 35777 | 4.0042          | 22.05   | 7.35    | 19.71   | 55.75   | 68.94     |
+| 3.9833        | 8.0   | 40888 | 4.0001          | 22.12   | 7.39    | 19.78   | 55.72   | 69.0      |
+
+
+### Framework versions
+
+- Transformers 4.18.0
+- Pytorch 1.10.0+cu111
+- Datasets 2.1.0
+- Tokenizers 0.12.1