readme: ---
  metrics:
  - rouge
  
  model-index:
  - name: gq-indo-k
  ---
  
  <!-- 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. -->
  
  # gq-indo-k
  
  This model was trained from scratch on an unkown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.7905
  - Rouge1: 22.5734
  - Rouge2: 6.555
  - Rougel: 20.9491
  - Rougelsum: 20.9509
  - Gen Len: 12.0767
  
  ## 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: 2e-05
  - train_batch_size: 10
  - eval_batch_size: 10
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 3
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
  |:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
  | 2.9355        | 1.0   | 13032 | 2.8563          | 22.4828 | 6.5456 | 20.8782 | 20.8772   | 11.915  |
  | 2.825         | 2.0   | 26064 | 2.7993          | 22.547  | 6.5815 | 20.8937 | 20.8973   | 12.0886 |
  | 2.7631        | 3.0   | 39096 | 2.7905          | 22.5734 | 6.555  | 20.9491 | 20.9509   | 12.0767 |
  
  
  ### Framework versions
  
  - Transformers 4.6.1
  - Pytorch 1.7.0
  - Datasets 1.11.0
  - Tokenizers 0.10.3
  