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t5_finetune_assests

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

  • Loss: 1.8677
  • Rouge1: 35.9309
  • Rouge2: 15.2979
  • Rougel: 25.937
  • Rougelsum: 33.4088
  • Gen Len: 64.675

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: 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: 3.0

Training results

Framework versions

  • Transformers 4.22.0.dev0
  • Pytorch 1.12.1+cu113
  • Datasets 2.4.0
  • Tokenizers 0.12.1
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Dataset used to train d0r1h/t5_cnn_dailymail