readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: distilbart-xsum-12-3-whole_summary_chatGPT_and_tweetsum
    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. -->
  
  # distilbart-xsum-12-3-whole_summary_chatGPT_and_tweetsum
  
  This model is a fine-tuned version of [sshleifer/distilbart-xsum-12-3](https://huggingface.co/sshleifer/distilbart-xsum-12-3) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.7952
  - Rouge1: 45.7353
  - Rouge2: 29.1566
  - Rougel: 45.8429
  - Rougelsum: 45.7353
  - Gen Len: 16.6
  
  ## 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: 2e-05
  - train_batch_size: 1
  - eval_batch_size: 1
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 3
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
  | No log        | 1.0   | 397  | 2.8069          | 42.233  | 23.7538 | 39.2701 | 39.2701   | 17.0    |
  | 2.8673        | 2.0   | 794  | 2.7736          | 48.2389 | 29.6927 | 43.5004 | 43.5004   | 17.4    |
  | 1.8043        | 3.0   | 1191 | 2.7952          | 45.7353 | 29.1566 | 45.8429 | 45.7353   | 16.6    |
  
  
  ### Framework versions
  
  - Transformers 4.20.1
  - Pytorch 1.12.1
  - Datasets 2.6.1
  - Tokenizers 0.12.1
  