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 the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.5039
  - Rouge1: 80.8002
  - Rouge2: 77.6863
  - Rougel: 80.6746
  - Rougelsum: 80.7336
  - Gen Len: 14.1393
  
  ## 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: 150
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
  |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
  | No log        | 1.0   | 113   | 0.7526          | 80.8695 | 77.9379 | 80.7636 | 80.7858   | 15.6577 |
  | No log        | 2.0   | 226   | 0.6720          | 81.3067 | 78.4208 | 81.2158 | 81.2418   | 15.5721 |
  | No log        | 3.0   | 339   | 0.6472          | 81.5539 | 78.6973 | 81.4666 | 81.5086   | 15.4799 |
  | No log        | 4.0   | 452   | 0.6217          | 81.4038 | 78.5499 | 81.3074 | 81.3618   | 15.5369 |
  | 0.7253        | 5.0   | 565   | 0.5931          | 81.6448 | 78.8248 | 81.5691 | 81.5943   | 15.4698 |
  | 0.7253        | 6.0   | 678   | 0.5696          | 81.7034 | 78.8675 | 81.6142 | 81.64     | 15.453  |
  | 0.7253        | 7.0   | 791   | 0.5646          | 81.7875 | 78.9862 | 81.727  | 81.7454   | 15.4329 |
  | 0.7253        | 8.0   | 904   | 0.5531          | 81.7309 | 78.905  | 81.6487 | 81.6755   | 15.4346 |
  | 0.5664        | 9.0   | 1017  | 0.5409          | 81.5895 | 78.7604 | 81.4983 | 81.5348   | 15.4178 |
  | 0.5664        | 10.0  | 1130  | 0.5467          | 81.5002 | 78.6385 | 81.3915 | 81.4247   | 15.448  |
  | 0.5664        | 11.0  | 1243  | 0.5290          | 81.622  | 78.7775 | 81.5339 | 81.5417   | 15.4128 |
  | 0.5664        | 12.0  | 1356  | 0.5247          | 81.5904 | 78.7444 | 81.4944 | 81.5451   | 15.3641 |
  | 0.5664        | 13.0  | 1469  | 0.5164          | 81.6429 | 78.8116 | 81.5581 | 81.5926   | 15.3574 |
  | 0.499         | 14.0  | 1582  | 0.5182          | 81.5478 | 78.6836 | 81.455  | 81.5058   | 15.3607 |
  | 0.499         | 15.0  | 1695  | 0.5058          | 81.4959 | 78.6553 | 81.4129 | 81.4608   | 15.2433 |
  | 0.499         | 16.0  | 1808  | 0.4985          | 81.7445 | 78.971  | 81.6587 | 81.7184   | 15.1913 |
  | 0.499         | 17.0  | 1921  | 0.4953          | 81.6383 | 78.8217 | 81.5419 | 81.6169   | 15.2131 |
  | 0.456         | 18.0  | 2034  | 0.4914          | 81.6345 | 78.8308 | 81.506  | 81.5956   | 15.1695 |
  | 0.456         | 19.0  | 2147  | 0.4918          | 81.4352 | 78.6371 | 81.319  | 81.4134   | 15.0923 |
  | 0.456         | 20.0  | 2260  | 0.4950          | 81.4993 | 78.6787 | 81.401  | 81.466    | 15.1661 |
  | 0.456         | 21.0  | 2373  | 0.4839          | 81.7538 | 78.9501 | 81.655  | 81.7017   | 15.0453 |
  | 0.456         | 22.0  | 2486  | 0.4917          | 81.445  | 78.6264 | 81.3378 | 81.4072   | 15.1376 |
  | 0.4233        | 23.0  | 2599  | 0.4790          | 81.6857 | 78.8888 | 81.5719 | 81.6151   | 15.0084 |
  | 0.4233        | 24.0  | 2712  | 0.4801          | 81.5146 | 78.7124 | 81.3956 | 81.4622   | 15.047  |
  | 0.4233        | 25.0  | 2825  | 0.4833          | 81.4409 | 78.6415 | 81.3185 | 81.4137   | 15.0587 |
  | 0.4233        | 26.0  | 2938  | 0.4846          | 81.4886 | 78.6912 | 81.3758 | 81.4498   | 15.0487 |
  | 0.396         | 27.0  | 3051  | 0.4782          | 81.4474 | 78.6254 | 81.3355 | 81.4372   | 14.8674 |
  | 0.396         | 28.0  | 3164  | 0.4767          | 81.5577 | 78.7259 | 81.4474 | 81.4906   | 14.7919 |
  | 0.396         | 29.0  | 3277  | 0.4745          | 81.648  | 78.7893 | 81.5163 | 81.5654   | 14.9262 |
  | 0.396         | 30.0  | 3390  | 0.4679          | 81.4867 | 78.6765 | 81.3659 | 81.4438   | 14.7399 |
  | 0.3738        | 31.0  | 3503  | 0.4722          | 81.8409 | 79.0512 | 81.7436 | 81.7752   | 15.0    |
  | 0.3738        | 32.0  | 3616  | 0.4698          | 81.6546 | 78.867  | 81.5383 | 81.6146   | 14.9279 |
  | 0.3738        | 33.0  | 3729  | 0.4629          | 81.5223 | 78.6672 | 81.3989 | 81.4953   | 14.6342 |
  | 0.3738        | 34.0  | 3842  | 0.4689          | 81.3717 | 78.4879 | 81.2359 | 81.3315   | 14.7534 |
  | 0.3738        | 35.0  | 3955  | 0.4714          | 81.4911 | 78.6664 | 81.3923 | 81.4424   | 14.8842 |
  | 0.3585     