update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: mbart-large-50-many-to-many-mmt-finetuned-ar_AR-to-en_XX-finetuned-ar_AR-to-en_XX
+  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-many-to-many-mmt-finetuned-ar_AR-to-en_XX-finetuned-ar_AR-to-en_XX
+
+This model is a fine-tuned version of [Shamus/mbart-large-50-many-to-many-mmt-finetuned-ar_AR-to-en_XX](https://huggingface.co/Shamus/mbart-large-50-many-to-many-mmt-finetuned-ar_AR-to-en_XX) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1972
+- Bleu: 30.3169
+- Gen Len: 34.536
+
+## 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: 1
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 4
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 1
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
+| 1.122         | 1.0   | 2759 | 1.1972          | 30.3169 | 34.536  |
+
+
+### Framework versions
+
+- Transformers 4.21.2
+- Pytorch 1.12.1+cu113
+- Datasets 2.4.0
+- Tokenizers 0.12.1