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rosadecsai/led-large-16384-BASE3ep

sourceHugging Faceapache-2.0updated 14d agoView on Hugging Face
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led-large-16384-BASE3ep

This model is a fine-tuned version of allenai/led-large-16384 on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 2.0538
  • —Rouge1: 36.1878
  • —Rouge2: 14.1274
  • —Rougel: 19.6133
  • —Rougelsum: 35.9116
  • —Gen Len: 1.0

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: 8
  • —evalbatchsize: 8
  • —seed: 42
  • —gradientaccumulationsteps: 2
  • —totaltrainbatch_size: 16
  • —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • —lrschedulertype: linear
  • —num_epochs: 3
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossRouge1Rouge2RougelRougelsumGen Len
2.89591.011322.145840.572214.080820.806239.53191.0
2.70742.022642.061041.397216.342419.146239.84481.0
2.53892.997833932.053836.187814.127419.613335.91161.0

Framework versions

  • —Transformers 4.48.3
  • —Pytorch 2.11.0+cu128
  • —Datasets 4.8.5
  • —Tokenizers 0.21.4