readme: ---
  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
  