readme: ---
  license: apache-2.0
  tags:
  - summarization
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: BARTkrame-abstract-mT5
    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. -->
  
  # BARTkrame-abstract-mT5
  
  This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.2557
  - Rouge1: 0.2223
  - Rouge2: 0.0735
  - Rougel: 0.1826
  - Rougelsum: 0.1849
  
  ## 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: 4
  - eval_batch_size: 4
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 4
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
  | 4.9563        | 1.0   | 1250 | 2.3674          | 0.2206 | 0.0755 | 0.1853 | 0.1869    |
  | 3.1856        | 2.0   | 2500 | 2.2988          | 0.2296 | 0.0757 | 0.1888 | 0.1910    |
  | 3.0083        | 3.0   | 3750 | 2.2668          | 0.2201 | 0.0728 | 0.1816 | 0.1832    |
  | 2.9296        | 4.0   | 5000 | 2.2557          | 0.2223 | 0.0735 | 0.1826 | 0.1849    |
  
  
  ### Framework versions
  
  - Transformers 4.23.1
  - Pytorch 1.12.1+cu113
  - Datasets 2.6.1
  - Tokenizers 0.13.1
  