readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: mt5-base-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-base-coba
  
  This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.5870
  - Rouge1: 0.4338
  - Rouge2: 0.2876
  - Rougel: 0.3743
  - Rougelsum: 0.409
  
  ## 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-06
  - train_batch_size: 2
  - eval_batch_size: 2
  - 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 |
  |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|
  | 7.0922        | 1.0   | 7452  | 0.6538          | 0.3566 | 0.239  | 0.3218 | 0.3348    |
  | 0.9442        | 2.0   | 14904 | 0.6900          | 0.427  | 0.2868 | 0.3711 | 0.402     |
  | 3.0789        | 3.0   | 22356 | 0.6775          | 0.3808 | 0.2584 | 0.3398 | 0.3567    |
  | 1.0565        | 4.0   | 29808 | 0.5928          | 0.4348 | 0.2882 | 0.3756 | 0.4096    |
  | 0.7872        | 5.0   | 37260 | 0.5870          | 0.4338 | 0.2876 | 0.3743 | 0.409     |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.9.1
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  