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t5-small-finetuned-cnndm1-wikihow0

This model is a fine-tuned version of t5-small on the cnn_dailymail dataset. It achieves the following results on the evaluation set:

  • Loss: 1.6436
  • Rouge1: 24.6116
  • Rouge2: 11.8788
  • Rougel: 20.3665
  • Rougelsum: 23.2474
  • Gen Len: 18.9998

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
1.8208 1.0 71779 1.6436 24.6116 11.8788 20.3665 23.2474 18.9998

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-wikihow0

Evaluation results