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: 1.3871
  • Rouge1: 46.7739
  • Rouge2: 23.1424
  • Rougel: 39.2473
  • Rougelsum: 43.0009
  • Gen Len: 17.2259

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: 1

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
1.4376 1.0 1842 1.3871 46.7739 23.1424 39.2473 43.0009 17.2259

Framework versions

  • Transformers 4.28.1
  • Pytorch 2.0.1
  • Datasets 2.12.0
  • Tokenizers 0.11.0
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Dataset used to train Di1/flan-t5-base-samsum

Evaluation results