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ViT5_Dialogue_Summarization

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metadata
license: mit
base_model: VietAI/vit5-base
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: ViT5_Dialogue_Summarization
    results: []

ViT5_Dialogue_Summarization

This model is a fine-tuned version of VietAI/vit5-base on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6377
  • Rouge1: 51.4583
  • Rouge2: 28.5387
  • Rougel: 40.9957
  • Rougelsum: 45.4297
  • Gen Len: 16.1661

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: 5e-05
  • 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: 1

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
0.5898 1.0 7366 0.6377 51.4583 28.5387 40.9957 45.4297 16.1661

Framework versions

  • Transformers 4.38.2
  • Pytorch 2.2.1+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2