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: 1.1681
  - Rouge1: 60.7249
  - Rouge2: 36.0768
  - Rougel: 57.6761
  - Rougelsum: 57.8618
  - Gen Len: 17.9
  
  ## 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: 100
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
  | No log        | 1.0   | 2    | 2.7817          | 13.2305 | 4.2105  | 11.0476 | 11.2063   | 13.0    |
  | No log        | 2.0   | 4    | 2.7249          | 13.2305 | 4.2105  | 11.0476 | 11.2063   | 12.8    |
  | No log        | 3.0   | 6    | 2.6053          | 13.1273 | 4.2105  | 10.9075 | 11.1008   | 13.1    |
  | No log        | 4.0   | 8    | 2.4840          | 16.6829 | 6.2105  | 14.1984 | 14.6508   | 14.8    |
  | No log        | 5.0   | 10   | 2.3791          | 16.6829 | 6.2105  | 14.1984 | 14.6508   | 14.8    |
  | No log        | 6.0   | 12   | 2.2628          | 20.7742 | 9.5439  | 18.6218 | 18.9274   | 16.1    |
  | No log        | 7.0   | 14   | 2.1714          | 20.7742 | 9.5439  | 18.6218 | 18.9274   | 16.1    |
  | No log        | 8.0   | 16   | 2.0929          | 20.7742 | 9.5439  | 18.6218 | 18.9274   | 16.0    |
  | No log        | 9.0   | 18   | 2.0069          | 20.7742 | 9.5439  | 18.6218 | 18.9274   | 16.0    |
  | No log        | 10.0  | 20   | 1.9248          | 20.7742 | 8.4912  | 18.6218 | 18.9274   | 16.0    |
  | No log        | 11.0  | 22   | 1.8535          | 20.7742 | 8.4912  | 18.6218 | 18.9274   | 16.0    |
  | No log        | 12.0  | 24   | 1.7843          | 22.5821 | 10.8889 | 20.4396 | 20.9928   | 16.0    |
  | No log        | 13.0  | 26   | 1.7115          | 22.5821 | 10.8889 | 20.4396 | 20.9928   | 16.0    |
  | No log        | 14.0  | 28   | 1.6379          | 22.5821 | 10.8889 | 20.4396 | 20.9928   | 16.0    |
  | No log        | 15.0  | 30   | 1.5689          | 22.5821 | 10.8889 | 20.4396 | 20.9928   | 16.0    |
  | No log        | 16.0  | 32   | 1.5067          | 35.1364 | 17.6608 | 31.8254 | 31.8521   | 15.9    |
  | No log        | 17.0  | 34   | 1.4543          | 41.7696 | 20.2005 | 38.8803 | 39.3886   | 16.9    |
  | No log        | 18.0  | 36   | 1.4118          | 41.7696 | 20.2005 | 38.8803 | 39.3886   | 16.9    |
  | No log        | 19.0  | 38   | 1.3789          | 41.5843 | 20.2005 | 38.6571 | 39.219    | 16.9    |
  | No log        | 20.0  | 40   | 1.3543          | 41.5843 | 20.2005 | 38.6571 | 39.219    | 16.9    |
  | No log        | 21.0  | 42   | 1.3332          | 42.6832 | 20.2005 | 39.7017 | 40.5046   | 16.9    |
  | No log        | 22.0  | 44   | 1.3156          | 46.5429 | 22.7005 | 41.9156 | 42.7222   | 16.9    |
  | No log        | 23.0  | 46   | 1.2999          | 49.5478 | 25.0555 | 44.8352 | 45.4884   | 16.9    |
  | No log        | 24.0  | 48   | 1.2878          | 49.5478 | 25.0555 | 44.8352 | 45.4884   | 16.9    |
  | No log        | 25.0  | 50   | 1.2777          | 49.5478 | 25.0555 | 44.8352 | 45.4884   | 16.9    |
  | No log        | 26.0  | 52   | 1.2681          | 54.8046 | 28.7238 | 49.4767 | 49.699    | 17.4    |
  | No log        | 27.0  | 54   | 1.2596          | 54.8046 | 28.7238 | 49.4767 | 49.699    | 17.4    |
  | No log        | 28.0  | 56   | 1.2514          | 58.1449 | 30.5444 | 52.7235 | 53.4075   | 18.9    |
  | No log        | 29.0  | 58   | 1.2450          | 58.1449 | 30.5444 | 52.7235 | 53.4075   | 18.9    |
  | No log        | 30.0  | 60   | 1.2395          | 58.1449 | 30.5444 | 52.7235 | 53.4075   | 18.9    |
  | No log        | 31.0  | 62   | 1.2340          | 58.1449 | 30.5444 | 52.7235 | 53.4075   | 18.9    |
  | No log        | 32.0  | 64   | 1.2287          | 58.1449 | 30.5444 | 52.7235 | 53.4075   | 18.9    |
  | No log        | 33.0  | 66   | 1.2233          | 58.1449 | 30.5444 | 52.7235 | 53.4075   | 18.9    |
  | No log        | 34.0  | 68   | 1.2182          | 58.1449 | 30.5444 | 52.7235 | 53.4075   | 18.9    |
  | No log        | 35.0  | 70   | 1.2127          | 58.1449 | 30.5444 | 52.7235 | 53.4075   | 18.9    |
  | No log        | 36.0  | 72   | 1.2079          | 