CoolFace
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Hoax0930/summary_tutorial

sourceHugging Faceapache-2.0updated 4y agoView on Hugging Face
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summary_tutorial

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

  • Loss: 2.8504
  • Rouge1: 19.4358
  • Rouge2: 10.0475
  • Rougel: 18.6327
  • Rougelsum: 18.648

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: 5.6e-05
  • trainbatchsize: 8
  • evalbatchsize: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • num_epochs: 8

Training results

Training LossEpochStepValidation LossRouge1Rouge2RougelRougelsum
2.8671.07712.768718.727810.832317.961717.8262
2.53632.015422.774118.464210.243117.871917.7799
2.35163.023132.757818.45919.523518.011417.8761
2.2164.030842.793820.237210.722219.568619.5045
2.09295.038552.798119.53610.023218.711918.7774
2.06.046262.822918.51389.634917.711917.782
1.94797.053972.839719.379510.047518.590418.532
1.90318.061682.850419.435810.047518.632718.648

Framework versions

  • Transformers 4.24.0
  • Pytorch 1.12.1+cu113
  • Datasets 2.7.1
  • Tokenizers 0.13.2