readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: mT5_multilingual_XLSum-finetuned-liputan6-coba
    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_multilingual_XLSum-finetuned-liputan6-coba
  
  This model is a fine-tuned version of [csebuetnlp/mT5_multilingual_XLSum](https://huggingface.co/csebuetnlp/mT5_multilingual_XLSum) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.2713
  - Rouge1: 0.3371
  - Rouge2: 0.2029
  - Rougel: 0.2927
  - Rougelsum: 0.309
  
  ## 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: 5e-05
  - train_batch_size: 2
  - eval_batch_size: 2
  - seed: 42
  - optimizer: Adafactor
  - lr_scheduler_type: linear
  - num_epochs: 3
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
  |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|
  | 1.4304        | 1.0   | 4474  | 1.2713          | 0.3371 | 0.2029 | 0.2927 | 0.309     |
  | 1.4286        | 2.0   | 8948  | 1.2713          | 0.3371 | 0.2029 | 0.2927 | 0.309     |
  | 1.429         | 3.0   | 13422 | 1.2713          | 0.3371 | 0.2029 | 0.2927 | 0.309     |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - Pytorch 1.12.1+cu113
  - Datasets 2.6.1
  - Tokenizers 0.13.2
  