update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+datasets:
+- hindi_english_machine_translation
+metrics:
+- bleu
+model-index:
+- name: mbart-large-cc25-ind_finetun-en-to-hi
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: hindi_english_machine_translation
+      type: hindi_english_machine_translation
+      args: hi-en
+    metrics:
+    - name: Bleu
+      type: bleu
+      value: 7.8242
+---
+
+<!-- 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-cc25-ind_finetun-en-to-hi
+
+This model is a fine-tuned version of [facebook/mbart-large-cc25](https://huggingface.co/facebook/mbart-large-cc25) on the hindi_english_machine_translation dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.8148
+- Bleu: 7.8242
+- Gen Len: 75.28
+
+## 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: 8
+- eval_batch_size: 8
+- 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   | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
+| 3.3247        | 1.0   | 620  | 1.8148          | 7.8242 | 75.28   |
+
+
+### Framework versions
+
+- Transformers 4.19.1
+- Pytorch 1.11.0+cu102
+- Datasets 1.18.0
+- Tokenizers 0.12.1