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PergaZuZ/cdc_influenza

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

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cdc_influenza

This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.7083
  • —Rouge1: 0.2081
  • —Rouge2: 0.0515
  • —Rougel: 0.1688
  • —Rougelsum: 0.1681
  • —Gen Len: 19.0

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: 2e-05
  • —trainbatchsize: 32
  • —evalbatchsize: 32
  • —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 LossRouge1Rouge2RougelRougelsumGen Len
No log1.030.79520.25230.09730.20440.208919.0
No log2.060.74870.22580.07110.18550.184119.0
No log3.090.72040.20810.05150.16880.168119.0
No log4.0120.70830.20810.05150.16880.168119.0

Framework versions

  • —Transformers 4.39.3
  • —Pytorch 2.1.2
  • —Datasets 2.18.0
  • —Tokenizers 0.15.2