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emre/switch-base-8-finetuned-samsum

sourceHugging Faceapache-2.0updated 3y agoView on Hugging Face
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switch-base-8-finetuned-samsum

This model is a fine-tuned version of google/switch-base-8 on the samsum dataset. It achieves the following results on the evaluation set:

  • —Loss: 1.4606
  • —Rouge1: 46.5651
  • —Rouge2: 23.2378
  • —Rougel: 39.4484
  • —Rougelsum: 43.1011
  • —Gen Len: 17.0183

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: 5

Training results

Training LossEpochStepValidation LossRouge1Rouge2RougelRougelsumGen Len
1.88291.036831.515446.380523.098239.061243.014217.6296
1.62072.073661.457847.743424.947140.648144.35117.2066
1.4423.0110491.436047.690324.995440.71344.348717.0501
1.31034.0147321.439648.451725.772541.521245.121116.9071
1.23935.0184151.444548.400225.872741.536145.046716.9804

Framework versions

  • —Transformers 4.25.1
  • —Pytorch 1.13.1+cu116
  • —Datasets 2.8.0
  • —Tokenizers 0.13.2