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update model card README.md

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+ ---
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+ license: apache-2.0
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+ tags:
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+ - summarisation
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+ - generated_from_trainer
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+ metrics:
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+ - rouge
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+ model-index:
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+ - name: distilbart-xsum-6-6-finetuned-bbc-news-on-extractive
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # distilbart-xsum-6-6-finetuned-bbc-news-on-extractive
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+
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+ 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.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.5869
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+ - Rouge1: 39.4885
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+ - Rouge2: 31.7487
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+ - Rougel: 31.9013
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+ - Rougelsum: 34.0825
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5.6e-05
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+ - train_batch_size: 4
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+ - eval_batch_size: 4
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 4
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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+ |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
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+ | 1.4649 | 1.0 | 445 | 1.5047 | 39.1053 | 31.6651 | 32.3242 | 33.9332 |
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+ | 1.2224 | 2.0 | 890 | 1.4986 | 39.4115 | 31.7894 | 32.1057 | 34.0454 |
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+ | 1.0099 | 3.0 | 1335 | 1.5322 | 39.5936 | 31.9984 | 32.2283 | 34.1798 |
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+ | 0.8687 | 4.0 | 1780 | 1.5869 | 39.4885 | 31.7487 | 31.9013 | 34.0825 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.21.2
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+ - Pytorch 1.12.1+cu113
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+ - Datasets 2.4.0
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+ - Tokenizers 0.12.1