update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- summarisation
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: distilbart-xsum-6-6-finetuned-bbc-news-on-abstractive
+  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. -->
+
+# distilbart-xsum-6-6-finetuned-bbc-news-on-abstractive
+
+This model is a fine-tuned version of [sshleifer/distilbart-xsum-6-6](https://huggingface.co/sshleifer/distilbart-xsum-6-6) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.6549
+- Rouge1: 38.9186
+- Rouge2: 30.2223
+- Rougel: 32.6201
+- Rougelsum: 37.7502
+
+## 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: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
+| 1.3838        | 1.0   | 445  | 1.4841          | 39.1621 | 30.4379 | 32.6613 | 37.9963   |
+| 1.0077        | 2.0   | 890  | 1.5173          | 39.388  | 30.9125 | 33.099  | 38.2442   |
+| 0.7983        | 3.0   | 1335 | 1.5726          | 38.7913 | 30.0766 | 32.6092 | 37.5953   |
+| 0.6681        | 4.0   | 1780 | 1.6549          | 38.9186 | 30.2223 | 32.6201 | 37.7502   |
+
+
+### Framework versions
+
+- Transformers 4.21.2
+- Pytorch 1.12.1+cu113
+- Datasets 2.4.0
+- Tokenizers 0.12.1