update model card README.md

tiny-mbart/README.md

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+---
+tags:
+- simplification
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: tiny-mbart
+  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. -->
+
+# tiny-mbart
+
+This model is a fine-tuned version of [sshleifer/tiny-mbart](https://huggingface.co/sshleifer/tiny-mbart) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 7.1188
+- Bleu: 0.0
+- Gen Len: 20.0
+
+## 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: 5.6e-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: 2
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Bleu | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:----:|:-------:|
+| 8.837         | 1.0   | 12844 | 8.6770          | 0.0  | 20.0    |
+| 7.1182        | 2.0   | 25688 | 7.1188          | 0.0  | 20.0    |
+
+
+### Framework versions
+
+- Transformers 4.26.1
+- Pytorch 1.13.1+cu116
+- Datasets 2.10.1
+- Tokenizers 0.13.2