readme: ---
  license: apache-2.0
  tags:
  - summarization
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: t5-small-train
    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-train
  
  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: 2.2669
  - Rouge1: 43.2372
  - Rouge2: 21.6755
  - Rougel: 38.1637
  - Rougelsum: 38.5444
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
  | 3.2032        | 1.0   | 45   | 2.6305          | 34.393  | 15.4821 | 30.3601 | 30.5865   |
  | 2.6291        | 2.0   | 90   | 2.4169          | 38.2327 | 18.4622 | 34.2887 | 34.3385   |
  | 2.4294        | 3.0   | 135  | 2.3395          | 40.4405 | 19.927  | 36.559  | 36.8095   |
  | 2.3191        | 4.0   | 180  | 2.3059          | 41.4214 | 20.4534 | 36.6399 | 36.9088   |
  | 2.2949        | 5.0   | 225  | 2.2857          | 42.6906 | 21.1492 | 37.5557 | 37.8722   |
  | 2.2591        | 6.0   | 270  | 2.2762          | 43.1598 | 21.6179 | 38.1235 | 38.5053   |
  | 2.1722        | 7.0   | 315  | 2.2680          | 43.4447 | 21.8048 | 38.4077 | 38.7384   |
  | 2.1993        | 8.0   | 360  | 2.2669          | 43.2372 | 21.6755 | 38.1637 | 38.5444   |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.11.0+cu113
  - Datasets 2.1.0
  - Tokenizers 0.12.1
  