readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - sacrebleu
  model-index:
  - name: t5-pegasus-finetuned
    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. -->
  
  # t5-pegasus-finetuned
  
  This model was trained from scratch on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 4.8469
  - Sacrebleu: 1.6544
  - Rouge 1: 0.0646
  - Rouge 2: 0.0076
  - Rouge L: 0.0629
  - Bleu 1: 0.2040
  - Bleu 2: 0.0959
  - Bleu 3: 0.0484
  - Bleu 4: 0.0287
  - Meteor: 0.0872
  - Gen Len: 16.0997
  
  ## 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: 512
  - eval_batch_size: 256
  - seed: 42
  - gradient_accumulation_steps: 2
  - total_train_batch_size: 1024
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 100
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  
  
  ### Framework versions
  
  - Transformers 4.21.0.dev0
  - Pytorch 1.9.1+cu102
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  