update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- wiki_auto
+model-index:
+- name: bart-base-finetuned-text-simplification
+  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. -->
+
+# bart-base-finetuned-text-simplification
+
+This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the wiki_auto dataset.
+It achieves the following results on the evaluation set:
+- Loss: 7.4564
+- Sari: 58.8687
+
+## 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: 5e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Sari    |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|
+| 0.1758        | 1.0   | 23363 | 6.7617          | 58.9526 |
+| 0.1474        | 2.0   | 46726 | 7.1742          | 58.8800 |
+| 0.1349        | 3.0   | 70089 | 7.4564          | 58.8687 |
+
+
+### Framework versions
+
+- Transformers 4.27.4
+- Pytorch 1.13.0
+- Datasets 2.1.0
+- Tokenizers 0.13.2