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-old
    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-old
  
  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: 0.6733
  - Rouge1: 60.9431
  - Rouge2: 49.8688
  - Rougel: 42.4663
  - Rougelsum: 59.836
  
  ## 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  | 0.6974          | 55.2742 | 41.9883 | 37.8584 | 53.7602   |
  | 0.6396        | 2.0   | 446  | 0.6786          | 56.0006 | 43.1917 | 38.5125 | 54.4571   |
  | 0.5582        | 3.0   | 669  | 0.6720          | 57.8912 | 45.7807 | 40.0807 | 56.4985   |
  | 0.505         | 4.0   | 892  | 0.6659          | 59.6611 | 48.0095 | 41.752  | 58.5059   |
  | 0.4611        | 5.0   | 1115 | 0.6706          | 59.7241 | 48.164  | 41.4523 | 58.5295   |
  | 0.4254        | 6.0   | 1338 | 0.6711          | 59.8524 | 48.1821 | 41.2299 | 58.6072   |
  | 0.3967        | 7.0   | 1561 | 0.6718          | 60.3009 | 49.0085 | 42.0306 | 59.0723   |
  | 0.38          | 8.0   | 1784 | 0.6733          | 60.9431 | 49.8688 | 42.4663 | 59.836    |
  
  
  ### Framework versions
  
  - Transformers 4.21.0
  - Pytorch 1.12.0+cu113
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  