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eunbeee/ainize-kobart-news-eb-finetuned-papers

sourceHugging Facemitupdated 4y agoView on Hugging Face
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Model Card

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ainize-kobart-news-eb-finetuned-papers

This model is a fine-tuned version of ainize/kobart-news on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.3066
  • —Rouge1: 14.5433
  • —Rouge2: 5.2238
  • —Rougel: 14.4731
  • —Rougelsum: 14.5183
  • —Gen Len: 19.9934

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

Training results

Training LossEpochStepValidation LossRouge1Rouge2RougelRougelsumGen Len
0.19181.072000.240314.68835.242714.630614.648919.9938
0.13322.0144000.239114.51655.244314.49314.490819.9972
0.09663.0216000.253914.7585.497614.690614.718819.9941
0.07364.0288000.278214.62675.337114.557814.601419.9934
0.05475.0360000.306614.54335.223814.473114.518319.9934

Framework versions

  • —Transformers 4.19.4
  • —Pytorch 1.11.0+cu113
  • —Datasets 2.3.2
  • —Tokenizers 0.12.1