readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: t5-small_corrector_15
    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_corrector_15
  
  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.3416
  - Rouge1: 34.7998
  - Rouge2: 9.0842
  - Rougel: 27.8188
  - Rougelsum: 27.839
  - Gen Len: 18.5561
  
  ## 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: 8
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 5
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
  |:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
  | 4.2274        | 1.0   | 2365  | 2.9386          | 10.1244 | 1.0024 | 9.1029  | 9.1104    | 18.5377 |
  | 2.7936        | 2.0   | 4730  | 2.0196          | 17.7168 | 3.0899 | 15.1305 | 15.1353   | 18.8883 |
  | 2.2678        | 3.0   | 7095  | 1.7072          | 26.8501 | 5.7804 | 22.0034 | 22.0213   | 18.839  |
  | 1.9029        | 4.0   | 9460  | 1.5254          | 32.9484 | 7.8531 | 26.4538 | 26.4749   | 18.502  |
  | 1.5936        | 5.0   | 11825 | 1.3416          | 34.7998 | 9.0842 | 27.8188 | 27.839    | 18.5561 |
  
  
  ### Framework versions
  
  - Transformers 4.21.2
  - Pytorch 1.12.1+cu113
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  