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PergaZuZ/cdc_influenza_bart-base-cnn

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

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cdcinfluenzabart-base-cnn

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

  • —Loss: 0.5155
  • —Rouge1: 0.3829
  • —Rouge2: 0.3086
  • —Rougel: 0.3623
  • —Rougelsum: 0.3576
  • —Gen Len: 20.0

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 log1.020.81200.3080.22720.27230.275820.0
No log2.040.64270.34730.26350.31790.318920.0
No log3.060.54960.39250.32030.36710.364220.0
No log4.080.51550.38290.30860.36230.357620.0

Framework versions

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