readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: t5-small-finetuned-xsum-ashish-5000
    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-ashish-5000
  
  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: 2.6200
  - Rouge1: 14.8258
  - Rouge2: 4.7741
  - Rougel: 11.3583
  - Rougelsum: 13.2147
  - 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: 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: 40
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
  |:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
  | No log        | 1.0   | 313   | 2.8460          | 13.7208 | 4.2759 | 10.4447 | 12.1604   | 19.0    |
  | 2.8939        | 2.0   | 626   | 2.7686          | 14.0884 | 4.4571 | 10.8946 | 12.6399   | 19.0    |
  | 2.8939        | 3.0   | 939   | 2.7323          | 14.249  | 4.4839 | 10.9701 | 12.7336   | 19.0    |
  | 2.6857        | 4.0   | 1252  | 2.7140          | 14.4123 | 4.5447 | 11.09   | 12.8468   | 19.0    |
  | 2.6353        | 5.0   | 1565  | 2.6962          | 14.4931 | 4.6524 | 11.1552 | 12.9235   | 19.0    |
  | 2.6353        | 6.0   | 1878  | 2.6827          | 14.6765 | 4.6571 | 11.2099 | 13.0457   | 19.0    |
  | 2.6005        | 7.0   | 2191  | 2.6743          | 14.6923 | 4.6506 | 11.1972 | 13.0305   | 19.0    |
  | 2.5721        | 8.0   | 2504  | 2.6691          | 14.8242 | 4.7211 | 11.2794 | 13.1706   | 19.0    |
  | 2.5721        | 9.0   | 2817  | 2.6598          | 14.9018 | 4.7961 | 11.3472 | 13.2632   | 19.0    |
  | 2.5526        | 10.0  | 3130  | 2.6559          | 14.8855 | 4.8159 | 11.3402 | 13.2578   | 19.0    |
  | 2.5526        | 11.0  | 3443  | 2.6533          | 14.8022 | 4.7367 | 11.2253 | 13.1308   | 19.0    |
  | 2.5352        | 12.0  | 3756  | 2.6490          | 14.7306 | 4.6719 | 11.158  | 13.1083   | 19.0    |
  | 2.5238        | 13.0  | 4069  | 2.6460          | 14.7908 | 4.6958 | 11.2061 | 13.1103   | 19.0    |
  | 2.5238        | 14.0  | 4382  | 2.6436          | 14.7332 | 4.7132 | 11.1581 | 13.0709   | 19.0    |
  | 2.5067        | 15.0  | 4695  | 2.6403          | 14.7062 | 4.7363 | 11.1275 | 13.0921   | 19.0    |
  | 2.4922        | 16.0  | 5008  | 2.6382          | 14.735  | 4.6939 | 11.1301 | 13.0941   | 19.0    |
  | 2.4922        | 17.0  | 5321  | 2.6353          | 14.8166 | 4.7615 | 11.2635 | 13.1526   | 19.0    |
  | 2.4841        | 18.0  | 5634  | 2.6334          | 14.8517 | 4.8063 | 11.2705 | 13.1878   | 19.0    |
  | 2.4841        | 19.0  | 5947  | 2.6306          | 14.7038 | 4.6747 | 11.1493 | 13.0818   | 19.0    |
  | 2.4789        | 20.0  | 6260  | 2.6312          | 14.8127 | 4.7543 | 11.2775 | 13.1812   | 19.0    |
  | 2.4644        | 21.0  | 6573  | 2.6285          | 14.7922 | 4.7114 | 11.2655 | 13.1716   | 19.0    |
  | 2.4644        | 22.0  | 6886  | 2.6270          | 14.8587 | 4.78   | 11.3163 | 13.2017   | 19.0    |
  | 2.4506        | 23.0  | 7199  | 2.6264          | 14.7304 | 4.6852 | 11.2138 | 13.1306   | 19.0    |
  | 2.4595        | 24.0  | 7512  | 2.6258          | 14.7294 | 4.6597 | 11.2354 | 13.1126   | 19.0    |
  | 2.4595        | 25.0  | 7825  | 2.6257          | 14.6318 | 4.6467 | 11.1913 | 13.0587   | 19.0    |
  | 2.4523        | 26.0  | 8138  | 2.6250          | 14.7609 | 4.7037 | 11.2777 | 13.1711   | 19.0    |
  | 2.4523        | 27.0  | 8451  | 2.6231          | 14.7342 | 4.7566 | 11.2569 | 13.1351   | 19.0    |
  | 2.4317        | 28.0  | 8764  | 2.6223          | 14.725  | 4.7248 | 11.247  | 13.1234   | 19.0    |
  | 2.4374        | 29.0  | 9077  | 2.6231          | 14.6911 | 4.7196 | 11.2372 | 13.0854   | 19.0    |
  | 2.4374        | 30.0  | 9390  | 2.6234          | 14.6889 | 4.7202 | 11.2565 | 13.1003   | 19.0    |
  | 2.4323        | 31.0  | 9703  | 2.6222          | 14.7264 | 4.7543 | 11.2752 | 13.1442   | 19.0    |
  | 2.4295        | 32.0  | 10016 | 2.6215          | 14.7613 | 4.723  | 11.2632 | 13.1389   | 19.0    |
  | 2.4295        | 33.0  | 10329 | 2.6212          | 14.7716 | 4.7676 | 11.3014 | 13.1637   | 19.0    |
  | 2.4282        | 34.0  | 10642 | 2.6211          | 14.7547 | 4.7437 | 11.296  | 13.1552   | 19.0    |
  | 2.4282        | 35.0  | 10955 | 2.6203          | 14.7717 | 4.7502 | 11.2999 | 13.1498   | 19.0    |
  | 2.4265        | 36.0  | 112