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vsamuel/scifive_five_epoch

sourceHugging Faceupdated 3y agoView on Hugging Face
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scifivefiveepoch

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

  • —Loss: 1.9038
  • —Rouge1: 0.3532
  • —Rouge2: 0.1988
  • —Rougel: 0.2922
  • —Rougelsum: 0.2938
  • —Gen Len: 17.78

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: 4
  • —evalbatchsize: 2
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 5

Training results

Training LossEpochStepValidation LossRouge1Rouge2RougelRougelsumGen Len
No log1.02752.23170.26250.13840.22220.221616.68
2.41272.05502.00080.34560.19090.29040.289818.24
2.41273.08251.95200.36240.21030.30470.304817.88
1.85124.011001.91080.36940.21190.30560.306317.84
1.85125.013751.90380.35320.19880.29220.293817.78

Framework versions

  • —Transformers 4.35.2
  • —Pytorch 2.1.0+cu121
  • —Datasets 2.16.1
  • —Tokenizers 0.15.1