CoolFace
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CLARA-MeD/flan-t5-large

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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Model Card

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flan-t5-large-clara-med

This model is a fine-tuned version of google/flan-t5-large on the CLARA-MeD dataset. It achieves the following results on the evaluation set:

  • Loss: 1.0898
  • Rouge1: 28.9888
  • Rouge2: 16.3801
  • Rougel: 27.4186
  • Rougelsum: 27.4043
  • sari: 39.1731

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • num_epochs: 5

Training results

Training LossEpochStepValidation LossRouge1Rouge2RougelRougelsum
No log1.03801.194828.286115.646126.712626.7389
No log2.07601.136128.352815.851926.815126.8069
1.35613.011401.105129.621616.822728.066228.0613
1.35614.015201.091529.360316.500827.791527.7761
1.09395.019001.089828.988816.380127.418627.4043

Framework versions

  • Transformers 4.25.1
  • Pytorch 1.13.0
  • Datasets 2.8.0
  • Tokenizers 0.12.1