update model card README.md

README.md

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+---
+license: mit
+tags:
+- translation
+- generated_from_trainer
+metrics:
+- bleu
+- rouge
+model-index:
+- name: mbart-large-50-English_Spanish_Translation
+  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-English_Spanish_Translation
+
+This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0290
+- Bleu: 41.4437
+- Rouge: {'rouge1': 0.6751402780531002, 'rouge2': 0.49769602014143044, 'rougeL': 0.6371513427059108, 'rougeLsum': 0.6376403149816605}
+- Meteor: {'meteor': 0.6479226630466496}
+
+## 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: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Bleu    | Rouge                                                                                                                        | Meteor                         |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:----------------------------------------------------------------------------------------------------------------------------:|:------------------------------:|
+| 1.5608        | 1.0   | 900  | 1.0899          | 39.9184 | {'rouge1': 0.6645461901016299, 'rouge2': 0.48457734138815345, 'rougeL': 0.6254335531454508, 'rougeLsum': 0.6258737583448748} | {'meteor': 0.6376166612731494} |
+| 0.9734        | 2.0   | 1800 | 1.0290          | 41.4436 | {'rouge1': 0.6751348620702116, 'rouge2': 0.4976855704059807, 'rougeL': 0.6371345376462452, 'rougeLsum': 0.6376186633843448}  | {'meteor': 0.6479188510808377} |
+
+
+### Framework versions
+
+- Transformers 4.22.2
+- Pytorch 1.12.1
+- Datasets 2.5.2
+- Tokenizers 0.12.1