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kennethge123/entailed_after_rte-bert-base-uncased

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

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entailedafterrte-bert-base-uncased

This model is a fine-tuned version of kennethge123/superglue_rte-bert-base-uncased on the bigbench dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.7322
  • —Accuracy: 0.5714

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: 5e-05
  • —trainbatchsize: 4
  • —evalbatchsize: 32
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 20

Training results

Training LossEpochStepValidation LossAccuracy
No log1.0300.68760.5714
No log2.0600.80290.5714
No log3.0900.72460.5714
No log4.01200.71520.5714
No log5.01500.78870.5714
No log6.01800.74980.5714
No log7.02100.81490.4286
No log8.02400.70550.5714
No log9.02700.72090.5714
No log10.03000.69220.5714
No log11.03300.71860.5714
No log12.03600.69160.5714
No log13.03900.72330.5714
No log14.04200.71090.5714
No log15.04500.70510.5714
No log16.04800.69680.5714
0.704617.05100.70680.5714
0.704618.05400.73190.5714
0.704619.05700.73010.5714
0.704620.06000.73220.5714

Framework versions

  • —Transformers 4.37.0
  • —Pytorch 1.13.1+cu117
  • —Datasets 2.15.0
  • —Tokenizers 0.15.2