readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: mt5-small_summarization
    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. -->
  
  # mt5-small_summarization
  
  This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 3.1774
  - Rouge1: 18.2118
  - Rouge2: 6.6244
  - Rougel: 15.4682
  - Rougelsum: 15.3942
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
  | 17.7253       | 1.0   | 50   | 7.6921          | 6.677   | 1.1111 | 6.5586  | 6.6861    |
  | 9.8457        | 2.0   | 100  | 4.5604          | 12.8991 | 1.9103 | 11.2559 | 10.9036   |
  | 6.2403        | 3.0   | 150  | 3.9071          | 16.463  | 4.0695 | 14.3098 | 14.4065   |
  | 5.2032        | 4.0   | 200  | 3.4869          | 17.6601 | 4.0878 | 14.2931 | 14.2743   |
  | 4.8331        | 5.0   | 250  | 3.3472          | 18.5241 | 5.3312 | 15.8993 | 16.0559   |
  | 4.526         | 6.0   | 300  | 3.2346          | 19.0264 | 5.7839 | 15.8013 | 16.1208   |
  | 4.5378        | 7.0   | 350  | 3.1927          | 18.9843 | 6.992  | 16.3787 | 16.3574   |
  | 4.3278        | 8.0   | 400  | 3.1774          | 18.2118 | 6.6244 | 15.4682 | 15.3942   |
  
  
  ### Framework versions
  
  - Transformers 4.20.1
  - Pytorch 1.12.0
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  