readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: t5-small-finetuned-xsum
    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
  
  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: 0.0531
  - Rouge1: 97.0969
  - Rouge2: 95.8095
  - Rougel: 96.7452
  - Rougelsum: 96.7363
  - Gen Len: 15.3151
  
  ## 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: 16
  - eval_batch_size: 16
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 10
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
  | 1.033         | 1.0   | 519  | 0.2212          | 95.3952 | 91.6915 | 94.8024 | 94.7963   | 14.9826 |
  | 0.2732        | 2.0   | 1038 | 0.1233          | 96.3758 | 94.121  | 95.9352 | 95.9297   | 15.2223 |
  | 0.1814        | 3.0   | 1557 | 0.0940          | 96.7098 | 94.7563 | 96.2577 | 96.2413   | 15.2133 |
  | 0.144         | 4.0   | 2076 | 0.0757          | 96.6801 | 95.0173 | 96.2782 | 96.2691   | 15.2679 |
  | 0.1213        | 5.0   | 2595 | 0.0688          | 96.8498 | 95.2702 | 96.5014 | 96.485    | 15.2515 |
  | 0.1043        | 6.0   | 3114 | 0.0620          | 96.8951 | 95.3824 | 96.5526 | 96.5419   | 15.2808 |
  | 0.0938        | 7.0   | 3633 | 0.0561          | 97.0021 | 95.6205 | 96.6811 | 96.6711   | 15.3163 |
  | 0.0877        | 8.0   | 4152 | 0.0546          | 97.016  | 95.7049 | 96.6736 | 96.6688   | 15.3044 |
  | 0.0873        | 9.0   | 4671 | 0.0534          | 97.0697 | 95.7894 | 96.7221 | 96.7192   | 15.3123 |
  | 0.0841        | 10.0  | 5190 | 0.0531          | 97.0969 | 95.8095 | 96.7452 | 96.7363   | 15.3151 |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  