readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: t5-small-finetuned-xsum_epoch4
    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-small-finetuned-xsum_epoch4
  
  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.4245
  - Rouge1: 29.5204
  - Rouge2: 8.4931
  - Rougel: 22.9705
  - Rougelsum: 23.0872
  - Gen Len: 18.8221
  
  ## 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: 32
  - eval_batch_size: 32
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 4
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
  |:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
  | 2.7175        | 1.0   | 7620  | 2.4899          | 28.585  | 7.7626 | 22.1314 | 22.2424   | 18.8174 |
  | 2.6605        | 2.0   | 15240 | 2.4486          | 29.2362 | 8.2481 | 22.7049 | 22.8227   | 18.8273 |
  | 2.6368        | 3.0   | 22860 | 2.4303          | 29.4228 | 8.4312 | 22.8991 | 23.0192   | 18.8262 |
  | 2.6284        | 4.0   | 30480 | 2.4245          | 29.5204 | 8.4931 | 22.9705 | 23.0872   | 18.8221 |
  
  
  ### Framework versions
  
  - Transformers 4.20.1
  - Pytorch 1.11.0
  - Datasets 2.1.0
  - Tokenizers 0.12.1
  