readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: t5-small-sec
    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-sec
  
  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: 0.0856
  - Rouge1: 32.2284
  - Rouge2: 28.534
  - Rougel: 31.5055
  - Rougelsum: 31.5557
  - Gen Len: 19.0
  
  ## 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: 1000
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch  | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
  |:-------------:|:------:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
  | No log        | 1.0    | 7    | 4.6983          | 11.362  | 2.7982  | 8.7377  | 9.7976    | 18.98   |
  | No log        | 2.0    | 14   | 4.2258          | 12.0011 | 3.5612  | 9.3131  | 10.4507   | 18.98   |
  | No log        | 3.0    | 21   | 3.8453          | 11.8522 | 3.4893  | 9.1555  | 10.2755   | 18.98   |
  | No log        | 4.0    | 28   | 3.5885          | 12.3065 | 4.0008  | 9.7828  | 10.8749   | 18.98   |
  | No log        | 5.0    | 35   | 3.4236          | 12.7682 | 4.2469  | 10.3591 | 11.4642   | 18.98   |
  | No log        | 6.0    | 42   | 3.2760          | 13.6201 | 4.9127  | 11.564  | 12.2789   | 18.98   |
  | No log        | 7.0    | 49   | 3.1441          | 12.8404 | 4.2904  | 11.0183 | 11.5934   | 18.98   |
  | No log        | 8.0    | 56   | 3.0378          | 12.9692 | 4.8361  | 11.1002 | 11.793    | 18.98   |
  | No log        | 9.0    | 63   | 2.9405          | 13.7953 | 5.4215  | 11.7945 | 12.5504   | 18.98   |
  | No log        | 10.0   | 70   | 2.8531          | 13.7016 | 5.3292  | 11.4372 | 12.4143   | 18.98   |
  | No log        | 11.0   | 77   | 2.7763          | 14.1725 | 5.8704  | 12.0214 | 13.062    | 18.98   |
  | No log        | 12.0   | 84   | 2.7021          | 14.8748 | 6.2724  | 12.7188 | 13.9306   | 18.98   |
  | No log        | 13.0   | 91   | 2.6352          | 15.153  | 6.7464  | 13.1611 | 14.2163   | 18.98   |
  | No log        | 14.0   | 98   | 2.5728          | 15.7556 | 7.3286  | 13.7175 | 14.7632   | 18.98   |
  | No log        | 15.0   | 105  | 2.5157          | 15.934  | 7.3678  | 13.8633 | 14.9156   | 18.98   |
  | No log        | 16.0   | 112  | 2.4617          | 15.8061 | 7.3323  | 13.7464 | 14.7774   | 18.98   |
  | No log        | 17.0   | 119  | 2.4082          | 16.0665 | 7.5165  | 13.9392 | 14.9721   | 18.86   |
  | No log        | 18.0   | 126  | 2.3633          | 16.0633 | 7.4792  | 13.9652 | 14.9779   | 18.86   |
  | No log        | 19.0   | 133  | 2.3129          | 15.5809 | 6.8635  | 13.4883 | 14.4031   | 18.86   |
  | No log        | 20.0   | 140  | 2.2642          | 15.0965 | 6.6965  | 12.9499 | 13.9616   | 18.86   |
  | No log        | 21.0   | 147  | 2.2172          | 15.9807 | 7.581   | 13.7652 | 14.7561   | 18.86   |
  | No log        | 22.0   | 154  | 2.1728          | 16.0223 | 7.3494  | 13.6557 | 14.8175   | 18.98   |
  | No log        | 23.0   | 161  | 2.1288          | 15.8624 | 7.3123  | 13.5385 | 14.7155   | 18.98   |
  | No log        | 24.0   | 168  | 2.0880          | 15.6815 | 7.2739  | 13.4081 | 14.5708   | 18.98   |
  | No log        | 25.0   | 175  | 2.0464          | 15.7728 | 7.2739  | 13.4408 | 14.6141   | 18.98   |
  | No log        | 26.0   | 182  | 2.0058          | 16.0941 | 7.7024  | 13.9582 | 15.0287   | 19.0    |
  | No log        | 27.0   | 189  | 1.9649          | 16.2728 | 7.7024  | 14.016  | 15.1315   | 19.0    |
  | No log        | 28.0   | 196  | 1.9242          | 16.3716 | 7.5627  | 14.0692 | 14.9967   | 19.0    |
  | No log        | 29.0   | 203  | 1.8868          | 16.7062 | 8.0777  | 14.4908 | 15.3399   | 19.0    |
  | No log        | 30.0   | 210  | 1.8492          | 17.0537 | 8.5578  | 14.9207 | 15.733    | 19.0    |
  | No log        | 31.0   | 217  | 1.8141          | 17.4443 | 8.73    | 15.0351 | 16.0924   | 19.0    |
  | No log        | 32.0   | 224  | 1.7791          | 17.4203 | 8.7258  | 15.0247 | 16.0522   | 19.0    |
  | No log        | 33.0   | 231  | 1.7435          | 17.5906 | 8.8872  | 15.425  | 16.3617   | 19.0    |
  | No log        | 34.0   | 238  | 1.7118          | 17.5006 | 8.8774  | 15.3052 | 16.2158   | 19.0    |
  | No log        | 35.0   | 245  | 1.6789          | 17.8356 | 9.3694  | 15.6864 | 16.5223   | 19.0    |
  | No log        | 36.0   | 252  | 1.65