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GloriaABK1/nort5-large-finetuned-norwegian

sourceHugging Faceapache-2.0updated 1y agoView on Hugging Face
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Model Card

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nort5-large-finetuned-norwegian

This model is a fine-tuned version of ltg/nort5-large on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 2.9237
  • —Rouge1: 23.7487
  • —Rouge2: 6.7301
  • —Rougel: 14.8509
  • —Rougelsum: 15.4894

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: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • —lrschedulertype: linear
  • —num_epochs: 6

Training results

Training LossEpochStepValidation LossRouge1Rouge2RougelRougelsum
2.93481.0182.611217.84643.506611.371211.5183
1.20062.0362.454821.41945.302814.87514.5553
0.77993.0542.298024.42657.606317.199617.2811
0.57674.0722.330429.642110.543221.202221.4957
0.46245.0902.319528.80438.919719.730119.9298
0.41336.01082.326629.69.496919.797219.8279

Framework versions

  • —Transformers 4.51.3
  • —Pytorch 2.6.0+cu124
  • —Datasets 3.5.0
  • —Tokenizers 0.21.1