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metadata
license: apache-2.0
base_model: Falconsai/text_summarization
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: vietnamese_t5_summary_model_falcon
    results: []

vietnamese_t5_summary_model_falcon

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

  • Loss: 4.9637
  • Rouge1: 5.3259
  • Rouge2: 1.0432
  • Rougel: 4.3589
  • Rougelsum: 4.4312

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: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 3000
  • num_epochs: 10

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum
5.5256 1.0 13 5.0138 5.1301 1.1104 4.3454 4.4618
5.3866 2.0 26 5.0124 5.2801 1.1592 4.4856 4.6096
5.5331 3.0 39 5.0101 5.2801 1.1592 4.4856 4.6096
5.3745 4.0 52 5.0061 5.2233 1.1592 4.4309 4.5483
5.5461 5.0 65 5.0023 4.9462 1.0051 4.1778 4.3127
5.326 6.0 78 4.9966 4.9914 1.0075 4.1731 4.309
5.5432 7.0 91 4.9909 5.1529 1.1614 4.2869 4.3977
5.4482 8.0 104 4.9828 5.0223 0.9709 4.1513 4.2346
5.4006 9.0 117 4.9732 5.2199 1.0146 4.291 4.3823
5.4558 10.0 130 4.9637 5.3259 1.0432 4.3589 4.4312

Framework versions

  • Transformers 4.41.2
  • Pytorch 2.3.1+cu121
  • Datasets 2.19.2
  • Tokenizers 0.19.1