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vit5-base-transcript-summarizer

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: 0.5995
  • Rouge1: 52.1518
  • Rouge2: 28.7254
  • Rougel: 41.1877
  • Rougelsum: 46.0726
  • Gen Len: 16.5342

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: 4
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 4
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
0.6432 1.0 1842 0.6072 50.2818 27.4589 39.9803 44.436 15.7775
0.5389 2.0 3684 0.5928 51.449 28.8498 41.1803 45.7102 16.2433
0.4847 3.0 5526 0.5941 51.2837 28.3449 40.5158 45.1193 16.0562
0.4398 4.0 7368 0.5995 52.1518 28.7254 41.1877 46.0726 16.5342

Framework versions

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