readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: pegasus-cnn_dailymail-1000-lit-evalMA-ga1
    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. -->
  
  # pegasus-cnn_dailymail-1000-lit-evalMA-ga1
  
  This model is a fine-tuned version of [google/pegasus-cnn_dailymail](https://huggingface.co/google/pegasus-cnn_dailymail) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.6852
  - Rouge1: 25.8242
  - Rouge2: 11.1309
  - Rougel: 20.7946
  - Rougelsum: 22.5591
  - Gen Len: 46.32
  
  ## 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
  - gradient_accumulation_steps: 4
  - total_train_batch_size: 4
  - 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   | 250  | 1.7061          | 25.8547 | 10.8573 | 20.8419 | 22.5942   | 44.36   |
  | 1.4533        | 2.0   | 500  | 1.6876          | 26.105  | 11.5635 | 21.132  | 23.044    | 45.65   |
  | 1.4533        | 3.0   | 750  | 1.6852          | 25.8242 | 11.1309 | 20.7946 | 22.5591   | 46.32   |
  
  
  ### Framework versions
  
  - Transformers 4.16.2
  - Pytorch 1.10.2
  - Datasets 1.18.3
  - Tokenizers 0.11.0
  