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domenicrosati/led-base-16384-biolaysum-both-annotated_original

sourceHugging Faceapache-2.0updated 3y agoView on Hugging Face
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led-base-16384-biolaysum-both-annotated_original

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

  • —Loss: 2.2291
  • —Rouge1: 0.4024
  • —Rouge2: 0.1404
  • —Rougel: 0.1995
  • —Rougelsum: 0.1995

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: 4
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossRouge1Rouge2RougelRougelsum
2.30520.6950002.26660.40010.13880.19830.1983
2.06811.37100002.22910.40240.14040.19950.1995
1.94342.06150002.30150.40050.13850.19920.1992
1.92032.75200002.31040.39090.13150.19400.1939
1.79283.43250002.33870.39120.13140.19190.1918

Framework versions

  • —Transformers 4.26.0
  • —Pytorch 1.13.1
  • —Datasets 2.10.1
  • —Tokenizers 0.12.1