readme: ---
  license: apache-2.0
  tags:
  - summarization
  metrics:
  - rouge
  model-index:
  - name: POCTS
    results:
    - task:
        name: Summarization
        type: summarization
      metrics:
      - name: Rouge1
        type: rouge
        value: 26.1391
  ---
  
  <!-- 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. -->
  
  # POCTS
  
  This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 3.0970
  - Rouge1: 26.1391
  - Rouge2: 7.3101
  - Rougel: 19.1217
  - Rougelsum: 21.9706
  - Gen Len: 46.2245
  
  ## 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: 5e-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
  - lr_scheduler_warmup_ratio: 0.15
  - num_epochs: 3.0
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step   | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
  |:-------------:|:-----:|:------:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
  | 3.3259        | 1.0   | 33875  | 3.2535          | 17.942  | 4.5143 | 14.2766 | 15.582    | 19.3901 |
  | 2.9764        | 2.0   | 67750  | 3.1278          | 18.6558 | 5.1844 | 15.0939 | 16.3367   | 19.9174 |
  | 2.5889        | 3.0   | 101625 | 3.0970          | 19.1763 | 5.4517 | 15.5342 | 16.7186   | 19.8855 |
  
  
  ### Framework versions
  
  - Transformers 4.10.2
  - Pytorch 1.7.1+cu110
  - Datasets 1.11.0
  - Tokenizers 0.10.3
  