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witchling22/t5-base-finetuned-scitldr_param2

sourceHugging Faceapache-2.0updated 3y agoView on Hugging Face
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Model Card

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t5-base-finetuned-scitldr_param2

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

  • —Loss: 3.1205
  • —Rouge1: 23.543
  • —Rouge2: 10.3655
  • —Rougel: 19.6492
  • —Rougelsum: 20.8429
  • —Gen Len: 18.9822

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: 1e-05
  • —trainbatchsize: 2
  • —evalbatchsize: 2
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.99) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 5
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossRouge1Rouge2RougelRougelsumGen Len
1.981.09963.131923.144510.090219.358520.468318.9758
1.98332.019923.128423.615710.386219.715520.882518.9822
1.90783.029883.121923.744410.544319.840521.020718.9774
1.9074.039843.119923.605310.41419.722120.958118.9822
1.85615.049803.120523.54310.365519.649220.842918.9822

Framework versions

  • —Transformers 4.35.2
  • —Pytorch 2.1.0+cu118
  • —Datasets 2.15.0
  • —Tokenizers 0.15.0