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t5-small-finetuned-cnndm1-wikihow1

This model is a fine-tuned version of Chikashi/t5-small-finetuned-cnndm1-wikihow0 on the wikihow dataset. It achieves the following results on the evaluation set:

  • Loss: 2.3727
  • Rouge1: 26.6881
  • Rouge2: 9.9589
  • Rougel: 22.6828
  • Rougelsum: 26.0203
  • Gen Len: 18.4813

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: 0.0003
  • 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: 1
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
2.56 1.0 39313 2.3727 26.6881 9.9589 22.6828 26.0203 18.4813

Framework versions

  • Transformers 4.18.0
  • Pytorch 1.10.0+cu111
  • Datasets 2.1.0
  • Tokenizers 0.12.1
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Dataset used to train Chikashi/t5-small-finetuned-cnndm1-wikihow1

Evaluation results