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NourEldin-Osama/t5-small-finetuned-text-simplification

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

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t5-small-finetuned-text-simplification

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

  • —Loss: 4.9119
  • —Sari: 57.2334

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: 16
  • —evalbatchsize: 16
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 3.0
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossSari
1.65671.0233634.510258.1853
3.76552.0467264.911957.2334
3.74983.0700894.911957.2334

Framework versions

  • —Transformers 4.26.1
  • —Pytorch 1.13.0
  • —Datasets 2.1.0
  • —Tokenizers 0.13.2