readme: ---
  license: apache-2.0
  datasets:
  - cnn_dailymail
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: t5_finetune_assests
    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_finetune_assests
  
  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an [cnn-dailymail](https://huggingface.co/datasets/cnn_dailymail) dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.8677
  - Rouge1: 35.9309
  - Rouge2: 15.2979
  - Rougel: 25.937
  - Rougelsum: 33.4088
  - Gen Len: 64.675
  
  ## 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
  - num_epochs: 3.0
  
  ### Training results
  
  
  
  ### Framework versions
  
  - Transformers 4.22.0.dev0
  - Pytorch 1.12.1+cu113
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  