readme: ---
  license: apache-2.0
  tags:
  - summarization
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: t5-small-trainings
    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-trainings
  
  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: 2.2580
  - Rouge1: 41.5251
  - Rouge2: 19.8842
  - Rougel: 36.4895
  - Rougelsum: 37.2565
  
  ## 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: 5.6e-05
  - train_batch_size: 8
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 8
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
  | 3.1338        | 1.0   | 51   | 2.5825          | 35.4169 | 15.379  | 30.8859 | 31.524    |
  | 2.5905        | 2.0   | 102  | 2.3975          | 38.4266 | 17.2571 | 33.5912 | 34.312    |
  | 2.3881        | 3.0   | 153  | 2.3329          | 39.8082 | 19.1925 | 34.8269 | 35.5295   |
  | 2.3167        | 4.0   | 204  | 2.2938          | 41.3488 | 20.1513 | 35.6879 | 36.5864   |
  | 2.2357        | 5.0   | 255  | 2.2727          | 41.2457 | 19.5358 | 36.0033 | 36.8405   |
  | 2.232         | 6.0   | 306  | 2.2645          | 41.2746 | 20.0345 | 35.9226 | 36.7001   |
  | 2.1986        | 7.0   | 357  | 2.2595          | 41.7542 | 19.9428 | 36.6819 | 37.4718   |
  | 2.1457        | 8.0   | 408  | 2.2580          | 41.5251 | 19.8842 | 36.4895 | 37.2565   |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.11.0+cu113
  - Datasets 2.1.0
  - Tokenizers 0.12.1
  