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romainlhardy/t5-small-booksum

sourceHugging Faceapache-2.0updated 4y agoView on Hugging Face
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Model Card

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t5-small-booksum

This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 3.1700

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: 4
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 500
  • —num_epochs: 2

Training results

Training LossEpochStepValidation Loss
3.32661.0292283.1859
3.29472.0584563.1700

Framework versions

  • —Transformers 4.17.0
  • —Pytorch 1.10.2+cu113
  • —Datasets 1.18.4
  • —Tokenizers 0.12.1