update model card README.md

README.md

@@ -0,0 +1,70 @@
+---
+license: apache-2.0
+tags:
+- summarisation
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: bert-small2bert-small-finetuned-cnn_daily_mail-summarization-finetuned-bbc-news
+  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. -->
+
+# bert-small2bert-small-finetuned-cnn_daily_mail-summarization-finetuned-bbc-news
+
+This model is a fine-tuned version of [mrm8488/bert-small2bert-small-finetuned-cnn_daily_mail-summarization](https://huggingface.co/mrm8488/bert-small2bert-small-finetuned-cnn_daily_mail-summarization) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6835
+- Rouge1: 58.9345
+- Rouge2: 47.1037
+- Rougel: 40.9839
+- Rougelsum: 57.6981
+
+## 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: 8
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
+| 0.8246        | 1.0   | 223  | 0.7050          | 55.7882 | 42.9793 | 38.4511 | 54.3125   |
+| 0.6414        | 2.0   | 446  | 0.6834          | 55.149  | 42.664  | 38.3864 | 53.7712   |
+| 0.5603        | 3.0   | 669  | 0.6815          | 56.9756 | 44.8057 | 39.1377 | 55.5815   |
+| 0.5079        | 4.0   | 892  | 0.6749          | 57.7397 | 45.6267 | 40.0509 | 56.3886   |
+| 0.4622        | 5.0   | 1115 | 0.6781          | 58.07   | 45.9102 | 40.2704 | 56.7008   |
+| 0.4263        | 6.0   | 1338 | 0.6798          | 58.1215 | 45.976  | 40.256  | 56.8203   |
+| 0.399         | 7.0   | 1561 | 0.6798          | 58.5486 | 46.6901 | 40.8045 | 57.2947   |
+| 0.3815        | 8.0   | 1784 | 0.6835          | 58.9345 | 47.1037 | 40.9839 | 57.6981   |
+
+
+### Framework versions
+
+- Transformers 4.21.0
+- Pytorch 1.12.0+cu113
+- Datasets 2.4.0
+- Tokenizers 0.12.1