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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
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Evaluation results

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