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t5-small-finetuned-xsum-epoch4

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

  • Loss: nan
  • Rouge1: 0.0
  • Rouge2: 0.0
  • Rougel: 0.0
  • Rougelsum: 0.0
  • Gen Len: 0.0

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: 2e-05
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 4
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
0.0 1.0 6377 nan 0.0 0.0 0.0 0.0 0.0
0.0 2.0 12754 nan 0.0 0.0 0.0 0.0 0.0
0.0 3.0 19131 nan 0.0 0.0 0.0 0.0 0.0
0.0 4.0 25508 nan 0.0 0.0 0.0 0.0 0.0

Framework versions

  • Transformers 4.26.0
  • Pytorch 2.0.0.dev20230127+cu117
  • Datasets 2.8.0
  • Tokenizers 0.13.2
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Dataset used to train chaoyivision/t5-small-finetuned-xsum-epoch4

Evaluation results