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theojolliffe/t5-base-tag-generation-recipes

sourceHugging Faceapache-2.0updated 4y agoView on Hugging Face
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t5-base-tag-generation-recipes

This model is a fine-tuned version of fabiochiu/t5-base-tag-generation on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6106
  • Rouge1: 76.7317
  • Rouge2: 59.2273
  • Rougel: 74.3318
  • Rougelsum: 74.2181
  • Gen Len: 15.93

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
  • trainbatchsize: 2
  • evalbatchsize: 2
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • num_epochs: 4
  • mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossRouge1Rouge2RougelRougelsumGen Len
1.25961.09500.712975.461357.225570.778370.802815.56
0.75312.019000.640775.762758.008572.522272.420815.71
0.6733.028500.615876.792259.419773.537873.462415.71
0.60644.038000.610676.731759.227374.331874.218115.93

Framework versions

  • Transformers 4.26.1
  • Pytorch 1.13.1+cu116
  • Datasets 2.10.1
  • Tokenizers 0.13.2