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flan-t5-base-samsum

This model is a fine-tuned version of google/flan-t5-base on https://huggingface.co/datasets/samsum dataset.

It achieves the following results on the evaluation set:

  • Loss: 1.3743
  • Rouge1: 47.5395
  • Rouge2: 24.0064
  • Rougel: 40.1703
  • Rougelsum: 43.8303
  • Gen Len: 17.2564

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: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
1.4554 1.0 1842 1.3865 46.9319 23.5287 39.3501 43.0805 17.3968
1.3404 2.0 3684 1.3760 47.3057 23.7013 39.767 43.4863 16.9634
1.272 3.0 5526 1.3743 47.5395 24.0064 40.1703 43.8303 17.2564
1.2277 4.0 7368 1.3747 47.6417 23.88 40.0928 43.8293 17.2589
1.2069 5.0 9210 1.3764 47.7095 23.8971 40.0913 43.9315 17.3675

Framework versions

  • Transformers 4.36.2
  • Pytorch 2.1.2+cu121
  • Datasets 2.16.1
  • Tokenizers 0.15.0
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