readme: ---
  license: apache-2.0
  tags:
  - multilingual model
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: mt5-small-finetuned-multilingual-xlsum
    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-finetuned-multilingual-xlsum
  
  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: 2.7979
  - Rouge1: 9.2017
  - Rouge2: 2.3976
  - Rougel: 7.7055
  - Rougelsum: 7.7347
  
  ## 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: 5
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
  |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|
  | 4.4524        | 1.0   | 3375  | 2.9251          | 8.1565 | 1.9058 | 6.7949 | 6.8196    |
  | 3.6707        | 2.0   | 6750  | 2.8524          | 8.7884 | 2.147  | 7.339  | 7.3678    |
  | 3.5273        | 3.0   | 10125 | 2.8184          | 9.1157 | 2.3886 | 7.6228 | 7.6592    |
  | 3.4452        | 4.0   | 13500 | 2.8028          | 9.2619 | 2.406  | 7.7607 | 7.7921    |
  | 3.4074        | 5.0   | 16875 | 2.7979          | 9.2017 | 2.3976 | 7.7055 | 7.7347    |
  
  
  ### Framework versions
  
  - Transformers 4.19.1
  - Pytorch 1.11.0+cu113
  - Datasets 2.2.1
  - Tokenizers 0.12.1
  