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Abhishek9998/t5-base-finetuned-resumes_t2json_large

sourceHugging Faceapache-2.0updated 3y agoView on Hugging Face
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Model Card

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t5-base-finetuned-resumest2jsonlarge

This model is a fine-tuned version of t5-base on the resumest2jsonlarge dataset. It achieves the following results on the evaluation set:

  • —Loss: nan
  • —Rouge1: 4.3177
  • —Rouge2: 1.1704
  • —Rougel: 3.5786
  • —Rougelsum: 3.7496
  • —Gen Len: 18.4438

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: 16
  • —evalbatchsize: 16
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 10
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossRouge1Rouge2RougelRougelsumGen Len
0.01.010280nan4.31771.17043.57863.749618.4438
0.02.020560nan4.31771.17043.57863.749618.4438
0.03.030840nan4.31771.17043.57863.749618.4438
0.04.041120nan4.31771.17043.57863.749618.4438
0.05.051400nan4.31771.17043.57863.749618.4438
0.06.061680nan4.31771.17043.57863.749618.4438
0.07.071960nan4.31771.17043.57863.749618.4438
0.08.082240nan4.31771.17043.57863.749618.4438
0.09.092520nan4.31771.17043.57863.749618.4438
0.010.0102800nan4.31771.17043.57863.749618.4438

Framework versions

  • —Transformers 4.20.1
  • —Pytorch 2.0.0+cu117
  • —Datasets 2.9.0
  • —Tokenizers 0.12.1