readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: pegasus-newsroom-cnn_full-adam8bit
    results: []
  ---
  
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  # pegasus-newsroom-cnn_full-adam8bit
  
  This model is a fine-tuned version of [google/pegasus-newsroom](https://huggingface.co/google/pegasus-newsroom) on the None dataset.
  It achieves the following results on the evaluation set:
  - eval_loss: 2.9826
  - eval_rouge1: 38.2456
  - eval_rouge2: 17.3966
  - eval_rougeL: 26.9273
  - eval_rougeLsum: 35.3265
  - eval_gen_len: 69.658
  - eval_runtime: 13626.7467
  - eval_samples_per_second: 0.183
  - eval_steps_per_second: 0.012
  - epoch: 0.22
  - step: 250
  
  ## 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: 0.0016
  - train_batch_size: 16
  - eval_batch_size: 16
  - seed: 42
  - gradient_accumulation_steps: 16
  - total_train_batch_size: 256
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_steps: 500
  - num_epochs: 2
  - mixed_precision_training: Native AMP
  - label_smoothing_factor: 0.1
  
  ### Framework versions
  
  - Transformers 4.21.0
  - Pytorch 1.12.0+cu113
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  