update model card README.md

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+metrics:
+- bleu
+- rouge
+model-index:
+- name: mbart-large-50-English_French_Translation_v2
+  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_French_Translation_v2
+
+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: 0.3902
+- Bleu: 35.1914
+- Rouge: {'rouge1': 0.641952430267112, 'rouge2': 0.4572909036472911, 'rougeL': 0.607001331434416, 'rougeLsum': 0.6068905123656807}
+- Meteor: {'meteor': 0.5916610499445853}
+
+## 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: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Bleu    | Rouge                                                                                                                        | Meteor                         |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:----------------------------------------------------------------------------------------------------------------------------:|:------------------------------:|
+| 1.1677        | 1.0   | 750  | 0.3902          | 35.1914 | {'rouge1': 0.6419485887304972, 'rouge2': 0.45727961744986984, 'rougeL': 0.6069956611472951, 'rougeLsum': 0.6068859187671477} | {'meteor': 0.5916768663368279} |
+
+
+### Framework versions
+
+- Transformers 4.26.1
+- Pytorch 1.12.1
+- Datasets 2.9.0
+- Tokenizers 0.12.1