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flan-t5-base-samsum

This model is a fine-tuned version of google/flan-t5-base on the samsum dataset. It achieves the following results on the evaluation set:

  • Loss: 1.3716
  • Rouge1: 47.2358
  • Rouge2: 23.5135
  • Rougel: 39.6266
  • Rougelsum: 43.3458
  • Gen Len: 17.3907

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
1.4379 1.0 1842 1.3805 47.1075 23.531 39.6919 43.549 17.1197
1.3559 2.0 3684 1.3716 47.2358 23.5135 39.6266 43.3458 17.3907
1.2783 3.0 5526 1.3721 47.4581 23.7339 39.7726 43.4568 17.1832
1.2378 4.0 7368 1.3757 47.8557 24.0593 40.2324 44.0085 17.3053
1.1983 5.0 9210 1.3751 47.8156 24.0038 40.2169 43.8918 17.3040

Framework versions

  • Transformers 4.25.1
  • Pytorch 1.12.1+cu113
  • Datasets 2.8.0
  • Tokenizers 0.12.1
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Dataset used to train philschmid/flan-t5-base-samsum

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Evaluation results