CoolFace
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antonkurylo/t5-base-news_headlines_5

sourceHugging Faceapache-2.0updated 3y agoView on Hugging Face
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Model Card

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t5-base-news_headlines

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

  • —Loss: 1.1569
  • —Rouge1: 50.0083
  • —Rouge2: 29.6819
  • —Rougel: 46.8393
  • —Rougelsum: 46.8438

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: 5

Training results

Training LossEpochStepValidation LossRouge1Rouge2RougelRougelsum
1.99511.015311.505744.51922.449740.761340.7478
1.60932.030621.305846.256724.577742.676342.6283
1.42683.045931.257347.896927.01144.484844.4922
1.30684.061241.189049.607829.163646.31446.3458
1.23545.076551.156950.008329.681946.839346.8438

Framework versions

  • —Transformers 4.28.0
  • —Pytorch 2.0.1+cu118
  • —Datasets 2.12.0
  • —Tokenizers 0.13.3