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-extractive
+  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-extractive
+
+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: 1.5869
+- Rouge1: 39.4885
+- Rouge2: 31.7487
+- Rougel: 31.9013
+- Rougelsum: 34.0825
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
+| 1.4649        | 1.0   | 445  | 1.5047          | 39.1053 | 31.6651 | 32.3242 | 33.9332   |
+| 1.2224        | 2.0   | 890  | 1.4986          | 39.4115 | 31.7894 | 32.1057 | 34.0454   |
+| 1.0099        | 3.0   | 1335 | 1.5322          | 39.5936 | 31.9984 | 32.2283 | 34.1798   |
+| 0.8687        | 4.0   | 1780 | 1.5869          | 39.4885 | 31.7487 | 31.9013 | 34.0825   |
+
+
+### Framework versions
+
+- Transformers 4.21.2
+- Pytorch 1.12.1+cu113
+- Datasets 2.4.0
+- Tokenizers 0.12.1