phobert_shared-vietnews

This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 3.4872
  • Rouge1: 47.252
  • Rouge2: 12.3801
  • Rougel: 27.9535
  • Rougelsum: 31.1165
  • Gen Len: 25.3494

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: 2
  • eval_batch_size: 2
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
4.1717 1.0 619 3.7817 46.287 10.7692 27.3606 30.4956 25.2656
3.6535 2.0 1239 3.5421 46.9278 11.7595 27.5206 30.7512 25.9089
3.434 3.0 1857 3.4872 47.252 12.3801 27.9535 31.1165 25.3494

Framework versions

  • Transformers 4.28.0
  • Pytorch 2.0.0+cu118
  • Datasets 2.12.0
  • Tokenizers 0.13.3
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