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TasmiaAzmi/masked-question-generation-t5-base

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

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masked-question-generation-t5-base

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

  • Loss: 0.8055

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: 0.0001
  • trainbatchsize: 4
  • evalbatchsize: 4
  • seed: 42
  • gradientaccumulationsteps: 16
  • totaltrainbatch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • num_epochs: 5

Training results

Training LossEpochStepValidation Loss
1.21260.45800.9040
0.97540.891600.8565
0.88181.342400.8393
0.86451.783200.8234
0.80792.234000.8177
0.78622.674800.8081
0.76363.125600.8101
0.73773.566400.8074
0.72594.017200.8052
0.70144.458000.8051
0.70424.98800.8055

Framework versions

  • Transformers 4.28.1
  • Pytorch 2.0.0
  • Datasets 2.12.0
  • Tokenizers 0.11.0