CoolFace
Modelpublic

uk4zor/notification-hub

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

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notification-hub

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

  • —Loss: 1.5633
  • —Rougel: 38.3354
  • —Rouge1: 44.3420

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

Training results

Training LossEpochStepValidation LossRougelRouge1
1.63641.024821.554337.602543.5207
1.47642.049641.546638.276444.0569
1.39913.074461.555638.210943.9420
1.33654.099281.563338.335444.3420

Framework versions

  • —Transformers 4.35.2
  • —Pytorch 2.1.0+cu121
  • —Datasets 2.15.0
  • —Tokenizers 0.15.0